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Alex Dalton
Senior PM · 5 yrs Stripe
I want to find a technical co-founder
You need a staff-level ML engineer who's shipped production AI infrastructure at scale and is ready to leave — someone building in AI-native developer tools who can own architecture end-to-end and has felt the pain your future customers feel.
Levi S. Lian
CEO, Raycaster
Marcus Rivera
General Partner, a16z
Anthony Stephens
Technical Recruiter, Ekloud, Inc.
Kumar Vadivel
Senior Talent Acquisition Specialist, 360 Technology
Sarah Nolan
Staff ML Engineer · Databricks · 4 yrs
Shared Focus
You've both spent 3+ years building developer-facing infrastructure — you on the product side at Stripe, she on ML systems at Databricks. Same problem space, different angles.
Complementary Needs
She's been attending YC Startup School, South Park Commons sessions, and On Deck Founders over the last 6 months — she has the thesis and the technical chops but no product co-founder. Your PM track + developer-tool shipping = the exact gap she's trying to fill.
Network Overlap
You both did CS at Stanford — different years, but same department and same advisor track. She also did a 6-month rotation on Databricks' payments integration team, which overlaps directly with the infra you built at Stripe.
Intelligence Playbook ready for Alex → Sarah
Personalized openers, resonant topics, and things to steer around
Everyone you meet is a stranger.
Until now.
Is that chemistry? It's the Playbook.
Sarah Nolan
Match Level: SStaff ML Engineer · Databricks · 4 yrs
PlaybookDo's
Lead with her recent blog post "Agent reliability past the demo" — it's her stated thesis and her most-shared post in the last 90 days.
Mention the Stanford connection and the payments integration overlap — it gives you shared context without feeling forced.
Don'ts
Don't pitch her on your idea first. She has her own thesis and is further along than her LinkedIn suggests. Start by asking what she's been working on outside of Databricks.
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Founders who already returned capital. Now raising again — 83% oversubscribed before announcing.
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ML Engineers
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AI Researchers
First-authors from NeurIPS, ICML, and ICLR. Combined h-index north of 42,000.
2nd-Time Founders
Founders who already returned capital. Now raising again — 83% oversubscribed before announcing.
Top Investors
The check-writers. $9.2B in dry powder across 340+ funds actively deploying into pre-seed through Series A.
ML Engineers
The people your recruiter can't find. Senior+ ML and infra engineers from OpenAI, DeepMind, Meta FAIR, and 200+ labs.
Advisors & Mentors
Operators who scaled past $100M ARR. Now selectively advising — most with open board capacity.
Enterprise Operators
VP+ decision-makers at Fortune 500s with active innovation budgets. 60% evaluating new vendors this quarter.
AI Researchers
First-authors from NeurIPS, ICML, and ICLR. Combined h-index north of 42,000.
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Founder, Series A · Climate Tech
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PhD Candidate, ML/Robotics
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Director, Growth Communications
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