
A few months ago, my friend @davidwehrs told me he was leaving a great job at a big fund to join a brand new one, which seemed crazy bc how can new funds compete with big ones in the capex heavy AI race? Looking like a good call so far!
David Wehrs
430 posts

@davidwehrs
"All science, no philosophy." Chris Knight Partner & COO @factorialfunds

A few months ago, my friend @davidwehrs told me he was leaving a great job at a big fund to join a brand new one, which seemed crazy bc how can new funds compete with big ones in the capex heavy AI race? Looking like a good call so far!

Announcing General Condescension’s newest Managing Director



The U.K. chip startup Fractile said it has raised a $220 million Series B funding round led by Factorial Funds, Accel and Peter Thiel’s Founders Fund on.wsj.com/4uk0we0

Per docs released in the OAI/Musk case, the University of Michigan endowment invested $20 million in the first round of OpenAI. Best direct investment from an endowment of all time?

@nebiustf dis doing numbers... time to plug my stuff if you like LLMs, check out my website whatllm.org

That change you’re feeling? Like the old way of pricing and modeling entire industries is being turned on its head? It’s been slowly compounding for a while now. When you look at the IGV/SMH ratio (tracking the relative performance of software against semiconductors) you see that this rotation out of software into chips isn’t new. It’s just accelerating.

First Citizens will retire the Silicon Valley Bank name three years after it acquired the go-to bank for startups in a government-orchestrated deal bloomberg.com/news/articles/…





At 26, @chadbyers invested $250k into Robinhood after everyone passed. That bet turned into $400M+. Before he wrote the check, two experts told him: “This was tried in the 2000s. It will never work.” He still wrote the check. Later, an expert warned him off Plaid. He listened and missed out on millions. Chad’s takeaway is not “ignore experts.” It is this: experts explain how the system works today. They are worse at seeing when the system is about to change. In this week’s episode of The Library of Minds, the co-founder of @SusaVentures breaks down the full Robinhood story, his unicorn filter, the new data moat, and what comes after AI. 1:45 - To make money, don’t listen to the experts 2:50 - Inventing the “data moat” thesis 5:05 - How to Find “Spiky” People 8:10 - Why 48-Hour Deal Cycles are a Mistake 10:40 - The crumbling SaaS moat 16:55 - “Oh shit, oh fuck” is the real startup journey 18:00 - How Chad raised Fund I with no track record 22:50 - When to act on your conviction 25:39 - How living w Neuralink founders shaped his diligence 27:50 - What comes after the AI wave


