David Cahn

157 posts

David Cahn

David Cahn

@DavidCahn6

Partner at Sequoia

Palo Alto Katılım Haziran 2022
64 Takip Edilen6.9K Takipçiler
Paul Copplestone - e/postgres
There are now 7M developers using @supabase Signups have been accelerating since the start of the year Our growth rate right now is as fast as it was during YC, except that we are doing it from a base of millions of developers instead of thousands
Paul Copplestone - e/postgres tweet media
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David Cahn
David Cahn@DavidCahn6·
Newest essay explores inconceivable startups, how founders balance divergent & convergent thinking in company building, and how people can train themselves to see the inconceivable.
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David Cahn
David Cahn@DavidCahn6·
Once someone does something that once seemed impossible — immigrating to a new country, becoming the best in the world at something, or starting a company everyone thinks is absurd — the next inconceivable thing becomes easier. Doing the inconceivable compounds.
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David Cahn
David Cahn@DavidCahn6·
With @juicebox_work, recruiting doesn't need to be a guessing game anymore. Congrats to @davepaffenholz, @ishangpta and the entire Juicebox team on 5,000+ customers and the new $80M Series B round led by DST.
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David Cahn
David Cahn@DavidCahn6·
h/t @WillManidis for his great piece on endgame fatigue and how we’ve culturally become too endgame focused.
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David Cahn
David Cahn@DavidCahn6·
Outside observers see startups as temporally sequential, with a beginning (inception/ seed stage), middle (product-market fit/ growth stage), and end (IPO/ scale-up). The best founders actually live in all three of these phases simultaneously.
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David Cahn
David Cahn@DavidCahn6·
"Flapping Airplanes’ strategy to compete in the brutal talent war is to not try to hire the most famous researchers. Instead, they are recruiting newcomers who would have ordinarily pursued a Ph.D. or a role at a quant firm."
aidan@aidanmantine

wsj today

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David Cahn
David Cahn@DavidCahn6·
"Example proof of the magic of a mind running on 20 watts." We're not done yet.
Andrej Karpathy@karpathy

A conventional narrative you might come across is that AI is too far along for a new, research-focused startup to outcompete and outexecute the incumbents of AI. This is exactly the sentiment I listened to often when OpenAI started ("how could the few of you possibly compete with Google?") and 1) it was very wrong, and then 2) it was very wrong again with a whole another round of startups who are now challenging OpenAI in turn, and imo it still continues to be wrong today. Scaling and locally improving what works will continue to create incredible advances, but with so much progress unlocked so quickly, with so much dust thrown up in the air in the process, and with still a large gap between frontier LLMs and the example proof of the magic of a mind running on 20 watts, the probability of research breakthroughs that yield closer to 10X improvements (instead of 10%) imo still feels very high - plenty high to continue to bet on and look for. The tricky part ofc is creating the conditions where such breakthroughs may be discovered. I think such an environment comes together rarely, but @bfspector & @amspector100 are brilliant, with (rare) full-stack understanding of LLMs top (math/algorithms) to bottom (megakernels/related), they have a great eye for talent and I think will be able to build something very special. Congrats on the launch and I look forward to what you come up with!

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Quinn McIntyre
Quinn McIntyre@qamcintyre·
Having the opportunity to work with @bfspector has been a highlight of my career. I don’t think there exists someone better equipped for both company building and foundational research work. The @flappyairplanes team is full of talented and creative people and they are tackling the most important problem in AI. I’ve been lucky to get to know many of them. I’m excited to keep working with them, and I am confident that anyone would be lucky to join this team.
Flapping Airplanes@flappyairplanes

Announcing Flapping Airplanes! We’ve raised $180M from GV, Sequoia, and Index to assemble a new guard in AI: one that imagines a world where models can think at human level without ingesting half the internet.

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