Jack Miller

My GF when talking to "Claudey"

A quiet Wednesday morning for the West in which all knowledge work has stopped.

@brandonkumar I know that Legora is apparently well used among British firms

Has anyone actually met a doctor who uses OpenEvidence or a lawyer who uses Harvey? Both of these companies have raised obscene amounts of money yet none of my friends who are MDs/JDs have touched them. Want to know if these products are vaporware or if my friends are just incompetent.

fun announcement: workshop labs is moving to san francisco! most of us will move this month, and everyone will be in SF by the beginning of next year.

Enabling disembodied amnesiacs to complete 1-month software projects was probably not front of mind for the Anglo-Saxon forefathers who coined our most load-bearing tokens

This interview with Ilya is just so good

@airkatakana Google own the entire stack.

what i want to know is how did google go from "way behind" to "easily #1" in nearly all domains of modern ai in like a year and why cant meta come anywhere close despite throwing tons of money at the problem

@AAyman_1302 Agreed

I love Ramp, but I don’t get why they need so much capital. Is the plan to become a bank?

@markscianna @chrisbarber @ItzSuds @gefkovicz @benmtaft @kokoxsu @carloagostinel2 Great fund!

@chrisbarber @ItzSuds @gefkovicz @benmtaft @kokoxsu @carloagostinel2 @markscianna: Forward Deployed Venture Capital (2022)

Charlie Songhurst and I are drafting (pls spot errors) a list of investors who started funds without working in VC: 1. @ItzSuds: SF1 (2025) 2. @gefkovicz, @benmtaft: Genius Ventures (2024) 3. Fiona Leng: Xtal (2024) 4. @kokoxsu, @carloagostinel2: Nova (2024) 5. Sunny Sandhu, Manraj Singh Sandhu: Vicus Ventures (2024) 6. @v_maini: Mythos (2023) 7. @erica_wenger: Park Rangers Capital (2023) 8. @mollyfmielke: Moth Fund (2022) 9. @alanaagoyal: Basecase Capital (2022) 10. @simarsmangat: Magic Ventures (2022) 11. @jm: LMNT Ventures (2022) 12. @andrewvigneault: Flexcap (2022) 13. @sophiaamoruso: Trust Fund (2022) 14. @NWischoff: Wischoff Ventures (2022) 15. @kanjun, @RohdeAli, @joshalbrecht: Outset (2022) 16. @packyM: Not Boring (2021) 17. @paigefinnn, @jslishi: Behind Genius (2021) 18. @davefontenot, @EmilyatHF0, @escliu: HF0 (2021) 19. @jackbplatts, @rphmeier: Hypersphere (2020) 20. @LFarleigh, @zachperret: Mischief (2020) 21. @cory: Z Fellows (2020) 22. @lachygroom: LGF (2020) 23. @Joshuabrowder: Browder Capital (2020) 24. @eladgil: Cosmic / Gil Capital / Gil & Co (2020) 25. @joshbuckley: Buckley Ventures (2019) 26. @tnachen: Essence VC (2019) 27. @avichal and @curtis0x: Electric Capital (2018) 28. @DakinSloss: Prime Movers Lab (2018) 29. @ramtinnaimi: Abstract Ventures (2018) 30. @etarczynski: Contrary (2017) 31. @zxocw: Polychain (2016) 32. @IanRountree: Cantos (2016) 33. @AriannaSimpson, @tikhon (@AlexBangash also involved): Crystal Towers (2015) 34. @pmarca and @bhorowitz: a16z (2009) 35. @peterthiel, @KenHowery, Luke Nosek: Founders Fund (2005) Excluded if one of the founders worked full-time in startup investing for >1 yr. Still included if: vc advisor, scout, intern or a <1 yr stint

Tomorrow

Love this song open.spotify.com/track/262qk9k0…

@henrythe9ths FUNDRAISE

I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.

I love Azure

@EricRWeinstein focus all your energy on helping humanity overcome death

Britain is a great country, but unless we reignite growth, we can’t pay for any of our other goals. Was great to talk about this at @lfg_uk Make or Break this week👇

@Austen AI writes at least 99% of our code

AI is absolutely writing most of the code at many companies

About to deploy Grandson of Anton internally...

@daniel_mac8 lol

Doubt Anthropic was lying when they said they observed Sonnet 4.5 working for 30 hours. METR requires a 50% success rate for the duration. And Anthropic never said it did the task correctly.

The fact Claude 4.5 has a lower temporal horizon is just so surprising to me