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What About Replacing Y Combinator Partners with LLMs?

2 min readAug 3, 2025

Y Combinator has posted their fall Request for Startups, and one of the RFSs caught my eye: Using LLMs Instead of Government Consulting. The basic idea is that it’s feasible to replace these consultants with LLMs; the key thesis is “LLMs today are so good that they can already do the jobs of many consulting firms.”

That got me thinking — given how good LLMs are, could we replace partners at places like Y Combinator with LLMs?

So I (well actually ChatGPT) wrote an RFS:

Using LLMs Instead of General Partners at Y Combinator

RFS by Steven Strauss, Ph.D. / ChatGPT — August 2025

The venture capital industry stewards about $1.2 trillion in U.S. assets and pays ≈2% in annual fees — roughly $24 billion every year — to partners and platform teams, even though half of all general partners are, by definition, below median in performance.

Those same workflows — thesis building, sourcing, diligence, and founder support — are largely text- and conversation-based, precisely the arenas where large language models now excel.

Recent “Wade Test” experiments show employees can’t reliably tell a fine-tuned LLM from a real C-suite leader. That means we can train an LLM on YC partner communications — office hours transcripts, Demo Day feedback, investment memos — and create a synthetic general partner that:

  • Reads decks
  • Drafts investment committee memos
  • Flags portfolio red flags
  • Facilitates introductions
  • Even delivers empathetic founder therapy in seconds, not weeks

Unlike humans, the model can be explicitly programmed to stay within ethical guardrails :-)

This could be a huge opportunity for founders to build these LLM-native general partners and return billions in saved fees to startups and LPs.

Important Notice: This blurb was prepared by Steven Strauss and was not prepared or approved by anyone at Y Combinator.

Additional Context

BTW, this is not perhaps as flippant as it sounds — a couple of groups are experimenting with AI-driven investing, see for example No Cap.

For those of you who want more information on this, I had ChatGPT do deep research on it, and used that to have NotebookLM generate a video. You can access the NotebookLM with the video at this link and the video is shown above.

(For what it’s worth, my bet is many VCs/Angels are doing this on an ad hoc basis, but it does seem like a real opportunity)

Comments are welcome!

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Steven Strauss, Ph.D.
Steven Strauss, Ph.D.

Written by Steven Strauss, Ph.D.

From 2014 to 2025 Strauss was the John L. Weinberg/Goldman Sachs Visiting Professor at Princeton University

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