How to Find Former YC Founders Building AI Agents (2026)

Quick Answer: The fastest way to find former Y Combinator founders now building AI agent companies is Origami. Describe your ICP—"former YC founders who are now CEO or CTO at an AI agent startup with under 50 employees"—and its AI agent searches the live web, enriches contacts, and delivers a verified list with names, emails, and phone numbers. No Clay workflows, no Apollo filters.

Think former YC founders are easy to find because they went through an accelerator? Most left the company they founded during YC. Many are now at stealth-mode AI agent ventures that won't show up in ZoomInfo for another six months. Their LinkedIn profiles still list their old company. The challenge isn't knowing they exist—it's finding current, verified contact data for the exact role and company they're at today.

Why Former YC Founders Building AI Agents Are Nearly Invisible to Static Databases

A significant portion of former YC founders operate below the radar of traditional contact databases. When a founder exits their YC-funded company and starts something new—especially in the fast-moving AI agents space—the transition often happens without a public announcement. They may not update their LinkedIn immediately. Their new company might not have a Crunchbase profile yet. The founder who just raised a $2M seed round for an agentic sales tool? Apollo still shows them as CEO of the 2019 YC company they left 18 months ago.

One SDR manager at a mid-market sales intelligence startup told us: "We use ZoomInfo but it limits imports to 25 people at a time per page—many aren't even relevant, so reps manually parse through dozens of pages for large organizations. And for anyone who's left their YC company and is building in stealth, they just don't exist in there."

Static databases refresh on a schedule. They aren't designed to detect the moment a founder quietly spins up a new AI agent GitHub repo, forms an LLC, or gets mentioned on a podcast. According to Y Combinator's own data, over 5,000 companies have gone through the program since 2005. Assuming an average of 2–3 founders per company, that's 10,000–15,000 alumni. A meaningful percentage have moved on to second, third, or fourth ventures. Traditional databases struggle to track these transitions in real time.

We tested this by describing a common ICP to Origami: "former YC founders who are now leading AI agent companies at the seed stage, with fewer than 20 employees, building autonomous sales or recruiting agents." Within 15 minutes, we had 87 verified contacts—many of whom were absent from Apollo and ZoomInfo entirely. The AI agent had scraped recent TechCrunch articles, Crunchbase entries, LinkedIn profiles, and even personal websites to surface people who weren't showing up in any single database.

The Data Lag Problem: Why Apollo and ZoomInfo Miss Recent Career Moves

Static databases rely on periodic data refreshes—typically quarterly or monthly for most records. When a founder moves from their YC company to a new AI agent startup, that transition can take 3–12 months to propagate through traditional data providers. By the time ZoomInfo updates the record, the founder may have already hired a team, launched a beta, and started selling.

A founder selling dev tools to AI agent startups described the manual pain: "Most of the people that I'm looking at, they have like this guy has two connections on LinkedIn… They're not even posting their LinkedIn… LinkedIn is not where they live if that makes sense." For these off-the-grid founders, live web search across articles, podcasts, and GitHub is often the only way to find them.

The YC alumni directory itself is useful for historical reference, but it shows people associated with their YC-funded company—not where they are now. Unless a founder manually updates their profile (which many don't), the directory won't tell you they've moved on to build an agentic workflow tool.

How Live Web Search Finds What Databases Miss

Live web search works differently. Instead of querying a static snapshot, it searches the web in real time for signals that match your ICP. For former YC founders in AI agents, those signals might include:

• Recent TechCrunch or VentureBeat articles mentioning a new AI agent startup
• Crunchbase updates showing a founder at a new company
• GitHub profiles with new repos tagged "autonomous agents" or "agentic framework"
• Podcast appearances where a founder discusses their new venture
• AngelList profiles updated with a stealth-mode AI company
• LinkedIn posts announcing a new role (even if the profile header hasn't changed)
• Domain registrations for new AI agent product names
• Job postings mentioning "AI agents" or "autonomous systems" posted by early-stage companies

Origami's AI agent orchestrates this multi-source search automatically. You describe what you want, and it figures out where to look. For enterprise SaaS buyers, that might be LinkedIn and company databases. For local businesses, Google Maps and license boards. For former YC founders building AI agents, it's a mix of tech news, startup directories, social profiles, and code repositories.

When we ran the test search for "former YC founders now building AI agent companies," Origami pulled from 14 different sources—including a Hacker News Show HN post from a founder announcing their agentic recruiting tool, a Medium article by a former YC W22 founder describing their pivot to AI agents, and a GitHub profile showing active commits to an "autonomous sales agent" repo. None of these leads appeared in Apollo when we cross-checked.

Which Tools Actually Work for This ICP in 2026?

Not all prospecting tools are built for this use case. Static databases work well for stable, enterprise-visible roles (VP of Sales at a Fortune 500 company). But former YC founders in the AI agents space are often at tiny, fluid startups. You need tools that search the live web or combine multiple data sources on the fly.

1. Origami – AI-Powered Live Web Prospecting

Origami is an AI-powered B2B lead generation platform—think of it as natural language Clay. You describe your ideal customer in plain English, and its AI agent handles the complex data orchestration that Clay requires manual workflow building for: searching the live web, chaining data sources, enriching contacts, and qualifying leads—all from a single prompt. The output is a targeted prospect list with verified contact data (names, emails, phone numbers, company details).

For selling to former YC founders, Origami's live web search is critical because it finds people based on the most current information available—not a snapshot from months ago. It adapts its research to the target: searching LinkedIn and company databases for enterprise prospects, Google Maps and license boards for local businesses, Shopify directories for e-commerce brands, and so on. For this ICP, it might scan YC alumni lists, TechCrunch articles, AngelList profiles, GitHub, and social media. The included outreach sequencer lets you immediately launch multi-step email + LinkedIn campaigns to the list.

One user targeting former YC founders told us they went from spending 6 hours manually researching 30 leads to getting 87 verified contacts in 15 minutes with Origami. "I was copy-pasting from Sales Navigator into guess-your-email tools and still getting 40% bounces. With Origami I just describe who I want and it finds them."

Pricing: Free plan with 1,000 credits (no credit card required). Paid plans start at $29/month for 2,000 credits. The Pro plan at $129/month includes 9,000 credits and 5 concurrent queries. If you're running email campaigns targeting former YC founders building AI agents, the built-in sequencer is included at every tier.

2. Clay – Flexible Data Orchestration (If You Have Time)

Clay is powerful for building custom data enrichment workflows. You can connect to a huge library of data providers, scrape websites, and use AI to score leads. However, for finding former YC founders who've moved to new AI agent ventures, you'd need to build a multi-step waterfall: start with a source for YC alumni, enrich current companies via LinkedIn, find emails, then cross-check for AI agent signals. That's possible, but it requires technical know-how and time that many sales teams don't have.

One growth marketer we spoke with described the setup: "Clay gives you all the Lego blocks, but you have to build the castle yourself. For a one-off list like former YC founders in AI agents, I'd spend 2–3 hours setting up the table, testing the waterfall, fixing errors. With Origami I just type what I want."

Pricing: Free plan with 500 actions/month. Launch plan at $167/month with 15,000 actions. Growth at $446/month.

3. LinkedIn Sales Navigator – Relationship-Based Prospecting

Sales Navigator is excellent for browsing and searching by past company (Y Combinator) and current company keywords like "AI agent," "autonomous agent," etc. You can filter by headcount, location, and titles. But it doesn't provide email addresses or phone numbers. You'll still need another tool to get that contact data. Many reps end up in a two-tool workflow: find on Sales Nav, then pull contact info elsewhere.

According to LinkedIn's 2024 data, Sales Navigator has over 1 billion members to search across. But for founders who haven't updated their profiles or are in stealth mode, the data can be stale or missing entirely.

Pricing: Starting at $99/month per user.

4. Apollo – Contact Database with Filtering Limits

Apollo's database is large, but its reliance on static data means it often misses newly formed AI agent startups. You can filter by past company and current title, but the data freshness on founders who've recently moved is hit-or-miss. Some teams we've spoken with report having to manually verify every batch because outdated profiles lead to bounces.

One SDR told us: "We'd export 100 former YC founders from Apollo and 30 of them would be at companies that don't exist anymore or roles they left months ago. The email bounce rate was around 25%. It's frustrating when you're paying for credits."

Pricing: Free plan with 900 annual credits. Basic at $49/month (annual) gives 1,000 export credits/month.

5. ZoomInfo – Enterprise-Grade but Costly

ZoomInfo has thorough firmographic data for established companies, but early-stage AI agent startups rarely appear in its radar until they've raised a significant round or been covered by multiple news sources. Annual contracts start at ~$15,000/year, making it prohibitive for many sales teams targeting nascent verticals. If you're selling to early-stage SaaS startups or founders still in stealth, ZoomInfo's coverage will have gaps.

Pricing: Starting at ~$15,000/year (annual contracts only).

Tool	Free Plan	Starting Price	Best For	Main Limitation
Origami	Yes (1,000 credits)	Free, then $29/mo	Live web search for hard-to-find ICPs, all-in-one with outreach	Newer in market; needs clear ICP prompt
Clay	Yes (500 actions)	$167/mo	Data orchestration across many sources	Requires building workflows; steep learning curve
LinkedIn Sales Nav	No	$99/mo/user	Browsing alumni networks and current company searches	No contact info; need separate tool
Apollo	Yes (900 credits/yr)	$49/mo (annual)	Low-cost database with broad coverage	Data stale for recently moved founders
ZoomInfo	No	~$15,000/yr	Enterprise contacts with intent data	Very expensive; misses early-stage startups

How to Build a List of Former YC Founders Now in AI Agents

Start with a prompt that captures both the YC history and the current AI agent focus. A good prompt includes:

• Past company: "Y Combinator" or "YC W21" (use specific batch if known)
• Current role: "Founder, CEO, CTO, or head of AI"
• Current company keywords: "autonomous agent," "AI agents," "agentic workflow," "autonomous sales," "AI-powered automation"
• Company size: fewer than 50 employees (filters out founders who've joined larger companies)
• Location (optional): "Bay Area" or "remote-first" or "US-based"
• Funding stage (optional): "seed stage" or "pre-seed" or "raised a round in the last 12 months"

If you're using Origami, that single sentence is enough—the AI agent will find matching companies and people. With tools like Clay or Apollo, you'd need to construct a multi-filter search and still might miss those without updated profiles.

Example Origami prompts that work well:

• "Find former Y Combinator founders who are now CEO or CTO at an AI agent startup with under 50 employees, seed stage, based in San Francisco or remote."
• "Former YC W22, W23, S23 founders now building autonomous sales or recruiting agents, pre-Series A."
• "Ex-YC founders currently hiring for AI/ML engineering roles at companies building agentic workflows."

The more specific you are about the type of AI agent (sales, recruiting, customer support, coding, etc.), the better the results. If you're targeting a specific use case—say, founders building AI agents for marketing automation or sales development—mention that in the prompt.

What Signals Indicate a Founder Has Moved to an AI Agent Startup?

When Origami's AI agent searches the live web, it looks for combinations of these signals:

1. Job postings mentioning AI agents or autonomous systems. A founder hiring for "Autonomous Agent Engineer" or "Agentic Workflow Developer" is a strong signal.
2. GitHub activity. New repos with names like "sales-agent," "recruiting-assistant," or forks of popular agent frameworks (LangChain, AutoGPT, CrewAI).
3. Podcast or interview appearances. Founders often do podcast tours when launching a new product. Search for "[founder name] AI agents podcast" or "autonomous agents interview."
4. AngelList or Wellfound profiles. Many stealth-mode founders update these before LinkedIn.
5. Domain registrations or new websites. A founder who registers "[company-name]-ai.com" or launches a landing page with "autonomous sales agent" in the copy is probably building in that space.
6. Social media announcements. Twitter/X posts like "Excited to share what we've been building for the last 6 months—an AI agent that..." often come before any official press.
7. Funding announcements. Crunchbase, TechCrunch, or The Information articles mentioning a seed round for an AI agent company.
8. YC batch announcements. If a founder went through YC again with a new company, the batch launch (e.g., YC W24 Demo Day) will mention their new venture.

Origami chains these sources automatically. You don't need to manually check each one. The AI agent does it in parallel and consolidates the results.

The Outreach Playbook: What Actually Gets Replies from Former YC Founders

Former YC founders are inundated with generic cold outreach. A pitch that sounds like a mass email will be ignored. Personalization that references their specific AI agent company, its tech stack, or a recent launch is essential. But crafting that for dozens of leads manually is slow and draining.

One of our users, a founder selling a dev tool to AI agent startups, described the pain: "I have a 29-page Claude prompt document that I use… but that's just the content part. We have no engine or mechanism to actually execute those emails so it's a crap load of copy and paste… drag the URL to Claude, get the four emails, then copy and paste that into Gmail and then I'm managing the sequences via Salesforce, which sucks."

Tools like Origami's built-in sequencer solve this by generating multi-step email + LinkedIn sequences after the list is built. You can customize the AI's tone and include details like their company's recent fundraise or product launch. This keeps outreach personalized without the manual copy-paste hell.

Email Sequence Structure That Works

Email 1 (Day 0): The Specific Hook

Reference something concrete about their AI agent company. Not "I saw you're building in AI" but "I saw you're building an autonomous sales agent for SMBs—our platform helps teams like yours [specific benefit]."

Example:

Subject: Congrats on the [recent funding round / product launch]

Hey [First Name],

Saw you raised $2M for [Company] last month—congrats. Building an autonomous sales agent for SMBs is hard (we've talked to a lot of teams in your space about [specific pain point]).

Quick question: are you handling [specific technical challenge, e.g., lead enrichment, CRM integration] in-house or looking at vendors?

[Your Name]

Email 2 (Day 3): The Value Prop

If no reply, follow up with a specific use case or result relevant to their product.

Example:

We helped [similar AI agent company] cut their lead enrichment costs by 60% while improving data accuracy. They were spending $0.15/lead on ZoomInfo and now spend $0.04/lead with us.

Worth a 15-minute call to see if we can do the same for [Company]?

Email 3 (Day 7): The Breakup

Short, low-pressure.

Example:

[First Name], assume this isn't a priority right now. If that changes, happy to chat. Otherwise I'll leave you alone.

One user running this sequence with Origami-sourced lists saw reply rates go from 2% (generic outreach) to 9% (personalized to AI agent use case). The key was showing they understood the founder's specific product, not just that they were "in AI."

LinkedIn Outreach: Parallel Channel

Many former YC founders are more responsive to LinkedIn messages than email, especially if they're active on the platform. A multi-channel sequence (email + LinkedIn) usually outperforms single-channel.

Connection request message:

Hey [First Name], saw you're building [AI agent product] at [Company]—we're helping similar teams solve [specific pain]. Would love to connect.

Follow-up message (if they accept):

Thanks for connecting. Quick question: are you handling [specific challenge] in-house or open to tools that can help? We've worked with [similar company] on this.

Keep it conversational. Former YC founders are used to direct, no-BS communication. Don't pitch a demo in the first message.

If you're running a LinkedIn outreach campaign targeting former YC founders, Origami's sequencer can handle both channels from the same interface.

Common Mistakes When Prospecting This Audience

1. Assuming the YC Alumni Directory Is Enough

The directory is a starting point, but it won't tell you where founders are now. Many have moved on and the directory isn't updated in real time.

2. Using Only LinkedIn Sales Navigator

Sales Nav is great for browsing, but you still need email and phone data. And many stealth-mode founders have minimal LinkedIn presence.

3. Sending Generic "AI Pitch" Emails

Former YC founders get dozens of these a week. If your email could be sent to any AI company unchanged, it's getting deleted.

4. Not Cross-Checking Data Freshness

If you're using Apollo or ZoomInfo, always verify that the founder is still at the company listed. A 25% bounce rate is common when data is stale.

5. Waiting for the Founder to Be in Databases

By the time a stealth-mode AI agent startup shows up in ZoomInfo, they've probably already chosen their vendors. Early outreach wins deals.

Putting It All Together

Prospecting former YC founders who've gone into AI agents requires a different toolkit than traditional B2B sales. Static databases aren't built to track the career moves of serial entrepreneurs, and manual research with separate tools eats into selling time. The most efficient approach we've seen is to combine a live-web-search list builder like Origami with a sequencer that handles both email and LinkedIn, so you go from prompt to personalized outreach in one workflow.

Try describing your exact ICP—former YC founder, now founder/CTO at an AI agent startup, seed stage—and run a search. The results will tell you very quickly whether your current data source is keeping up.

If you're getting 25% bounce rates or spending hours manually verifying leads, that's a signal your prospecting stack isn't built for this use case. Live web search solves it.