YC Founder Contacts: Y Combinator Founders, LinkedIn & X
Pricing
$3.00 / 1,000 company with founders
YC Founder Contacts: Y Combinator Founders, LinkedIn & X
Y Combinator founders by company, batch or industry: names, titles, LinkedIn, X, plus company website and emails. $0.003 per company with founders. Companies without founder data are free. No login, no API key.
Pricing
$3.00 / 1,000 company with founders
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Data Gleaner
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Get the founders of Y Combinator companies with their LinkedIn, X, title and bio, by company, batch or industry. Answers "yc founder contacts", "yc company founders", "yc founders", "founder linkedin twitter" and "startup founders emails", and agent requests like "get me the founders of YC W25 fintech companies with their LinkedIn". Each row is one YC company with its founders (name, title, LinkedIn, X, bio), its website, LinkedIn, X and GitHub, batch, status, team size, location and hiring flag. Turn on findEmails to add the public emails and phones from the company's own website. You pay $0.003 for a company with at least one named founder; a company with no founder data is returned free. No login, no API key, no CAPTCHA, no browser.
Built for AI agents, lead-generation pipelines and spreadsheets: one row per company, the same fields every time, and the first two founders also flattened into plain columns.
What it returns
For every company, from its public page on ycombinator.com:
- Founders: full name, title (Founder/CEO, CTO, ...), LinkedIn profile, X profile, YC bio, and whether they are still at the company.
- Company: name, YC batch (
Winter 2025andW25), status (Active, Acquired, Public, Inactive), website and domain, one-liner, description, industries and sub-industry, tags, team size, year founded, location, city, country, regions, hiring now, stage, YC Top Company flag, logo, YC group partner. - Company socials: LinkedIn, X, GitHub, Facebook and Crunchbase, when YC lists them.
- Emails (optional): with
findEmailson, the company's home, contact and about pages are read for the emails and phone numbers the company publishes, with the page the first email was found on.
Use cases
- B2B SaaS sales to startups: every founder of a batch or industry with LinkedIn and X, ready for outreach sequences.
- Investors and scouts: track new batches the day they launch, filter by industry, location and status.
- Recruiters: companies hiring now (
hiringOnly), with the founders to contact directly. - Agencies and service providers: a list of funded early-stage companies in your niche, with website and public email.
- AI agents: "List the founders of YC S24 AI companies in New York with their LinkedIn" becomes one tool call.
How it works
- Companies are picked from the open yc-oss directory of YC's launched companies, refreshed daily, and filtered locally by batch, industry, tag, status, location and hiring.
- Each company's public page at
ycombinator.com/companies/<slug>is read once, about one per second, for the founders and company details. - With
findEmailson, up to 4 pages of the company's website (home, contact, about) are read with the same engine as our Website Contact Details Scraper, honouring robots.txt.
It never calls YC's search pages or search API (YC's robots.txt asks crawlers to stay off them), and it never signs in.
Input
| Field | Meaning |
|---|---|
companies | Company names, slugs or ycombinator.com URLs: Airbnb, stripe, https://www.ycombinator.com/companies/doordash. |
batches | W25, S24, X25 (Spring 2025), F24 (Fall 2024), or Winter 2025, Summer 2024. |
industries, tags | Fintech, B2B, Healthcare, Artificial Intelligence, SaaS, Developer Tools... A company matches when any one of them matches. |
status | Any (default), Active, Acquired, Public or Inactive. |
locations | San Francisco, New York, United Kingdom, US, India, Europe, Remote... |
hiringOnly | Only companies with open jobs on Work at a Startup. |
findEmails | Also read the company website for public emails and phones (default off; same price). |
maxCompanies | Stop after this many companies (default 50). |
requestDelaySecs, proxyConfiguration | Pacing (default 1 second between YC pages) and an optional proxy (default none). |
Filters combine: batches + industries + locations gives, for example, W25 fintech companies in New York. Without batches, filters search every YC company, newest batch first. Leave everything empty to get 5 companies from the latest batch as a sample.
{"batches": ["W25"],"industries": ["Fintech"],"maxCompanies": 50}
Output
One row per company. Fields YC does not list are null, never guessed.
{"companyName": "Greptile","slug": "greptile","ycUrl": "https://www.ycombinator.com/companies/greptile","batch": "Winter 2024","batchCode": "W24","status": "Active","website": "https://www.greptile.com","domain": "greptile.com","oneLiner": "AI code review agent with complete context of your codebase","description": "Greptile reviews pull requests with full context of the codebase. ...","industries": ["B2B", "Engineering, Product and Design"],"subindustry": "B2B -> Engineering, Product and Design","tags": ["Artificial Intelligence", "Developer Tools", "AI"],"teamSize": 35,"yearFounded": 2023,"location": "San Francisco, CA, USA","city": "San Francisco","country": "US","isHiring": false,"stage": "Growth","companyLinkedin": "https://www.linkedin.com/company/greptile/","companyX": "https://x.com/greptileai","companyGithub": "https://github.com/greptileai","ycPartner": "Brad Flora","founders": [{"name": "Daksh Gupta", "title": "Founder", "linkedin": "https://www.linkedin.com/in/dakshg/","x": "https://x.com/dakshgup", "bio": "Co-founder of Greptile - the AI code reviewer ...", "isActive": true},{"name": "Soohoon Choi", "title": "Founder", "linkedin": "https://www.linkedin.com/in/soohoonchoi/","x": "https://x.com/soohoonchoi", "bio": "cto/cofounder @ greptile (w24)", "isActive": true},{"name": "Vaishant Kameswaran", "title": "Founder", "linkedin": "https://www.linkedin.com/in/vaishant/","x": "https://x.com/vaishaaant", "bio": "Founder @ Greptile. CS from Georgia Tech, minor in Linguistics.", "isActive": true}],"founderCount": 3,"founder1Name": "Daksh Gupta","founder1Title": "Founder","founder1Linkedin": "https://www.linkedin.com/in/dakshg/","founder1X": "https://x.com/dakshgup","founder2Name": "Soohoon Choi","founder2Title": "Founder","founder2Linkedin": "https://www.linkedin.com/in/soohoonchoi/","founder2X": "https://x.com/soohoonchoi","emails": ["support@greptile.com", "security@greptile.com"],"phones": ["+18665140605"],"emailSource": "https://www.greptile.com/security/privacy","websiteStatus": "ok","pageStatus": "ok","input": "greptile","scrapedAt": "2026-10-09T15:31:54+00:00"}
The dataset has two views: Companies and founders (one row per company, first two founders as columns) and All founders (one row per founder). emails, phones and emailSource are filled only when findEmails is on.
Pricing
Pay per result, one event:
company-with-founders: $0.003 for each YC company returned with at least one named founder.- A company whose page lists no founders is free. It is still returned with its company details.
findEmailscosts nothing extra.
Worked example. A whole batch of 200 companies, of which about 95% list their founders: 190 x $0.003 = $0.57. The same with findEmails on costs the same $0.57. The 50-company default run costs at most $0.15.
Set a maximum total charge on the run and the Actor stops cleanly when it is reached.
What to expect
Measured on a 20-company Winter 2024 run: 19 of 20 companies listed founders (38 founders). LinkedIn was filled for 100% of founders and X for 50%; title for 100%, bio for 97%. Company LinkedIn was filled for 95% of companies and company X for 65%. A run reads about one company per second; findEmails adds a few seconds per company, run in parallel.
Limits
- Covers companies that have a public page in YC's directory (launched companies, about 6,300). Stealth companies without a page are not listed.
- Founders' personal emails are not on YC's public pages and are not returned;
findEmailsreturns only the addresses each company publishes on its own website. - Social profiles are returned as YC lists them; they are not visited.
- The company list follows the yc-oss directory, which is refreshed daily; a company launched today may appear tomorrow.
Use with Python
# pip install apify-clientfrom apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("datagleaner/yc-founder-contacts").call(run_input={"batches": ["W25"],"industries": ["Fintech"],"maxCompanies": 20, # at most 20 x $0.003 = $0.06})for item in client.dataset(run.default_dataset_id).iterate_items():for f in item.get("founders", []):print(item["companyName"], f["name"], f["title"], f["linkedin"], f["x"])
Use with JavaScript / Node.js
// npm install apify-clientimport { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('datagleaner/yc-founder-contacts').call({companies: ['Airbnb', 'stripe'],findEmails: true,});const { items } = await client.dataset(run.defaultDatasetId).listItems();for (const item of items) {console.log(item.companyName, item.founders.map((f) => `${f.name} ${f.linkedin}`), item.emails);}
Use it from n8n, Make, Zapier or an AI agent
Actor ID: datagleaner/yc-founder-contacts
Minimal input:
{"batches": ["W25"], "industries": ["Fintech"]}
Each tool below runs this Actor with your own Apify API token.
-
n8n: add the Apify node (
@apify/n8n-nodes-apify). On n8n Cloud you install it from the community node registry. Choose Run an Actor and get dataset, set Actor todatagleaner/yc-founder-contactsand paste the input above. -
Make: use the Apify app's Run an Actor module, then Get Dataset Items to read the results. Watch Actor Runs can trigger a scenario when a run finishes.
-
Zapier: use the Apify action Run Actor, then the search Fetch dataset items. The trigger Finished Actor run starts a Zap when a run ends.
-
AI agents (MCP): connect to
https://mcp.apify.com/?tools=datagleaner/yc-founder-contacts. In Claude Code:claude mcp add --transport http apify "https://mcp.apify.com/?tools=datagleaner/yc-founder-contacts"Then run
/mcpto sign in to Apify in your browser. Other clients can sign in with OAuth or send the headerAuthorization: Bearer YOUR_APIFY_TOKEN. Clients that run local MCP servers can use Apify's package (@apify/actors-mcp-server, run withnpx -yandAPIFY_TOKENset) instead. Then ask the agent in plain words, for example:Get me the founders of YC W25 fintech companies with their LinkedIn and X, as a table.
-
LangChain (Python):
# pip install langchain-apify, then set APIFY_TOKEN in your environmentimport jsonfrom langchain_apify import ApifyActorsTooltool = ApifyActorsTool("datagleaner/yc-founder-contacts")result = tool.invoke({"run_input": json.loads('{"batches": ["W25"], "industries": ["Fintech"]}')})
FAQ
How do I get the founders of a Y Combinator batch? Put the batch in batches (W25 or Winter 2025) and run. Each company comes back with every founder's name, title, LinkedIn and X.
Can I filter YC companies by industry, location or status? Yes: industries, tags, locations, status and hiringOnly, alone or with batches.
Does it return founders' emails? It returns the public emails a company shows on its own website when findEmails is on. YC does not publish founders' personal emails, and this Actor does not guess them.
What batch formats work? W25, S24, X25 (Spring), F24 (Fall), Winter 2025, summer-2024 and 2024 Fall.
Do I need a YC account or an API key? No. It reads public pages only.
How fresh is the data? Founder data is read live from YC's company page on every run. The list of companies comes from a directory refreshed daily.
Responsible use
This Actor reads public pages only. Founder names, profiles and email addresses can be personal data. You are responsible for lawful use, including consent and opt-out rules for outreach (GDPR, CAN-SPAM and local law) and for respecting the terms of the platforms you use the data on.