DD04: Harvard & YC Insider: Backing the Builders in AI, Quantum & Defense | Matthew Sutton скачать в хорошем качестве

DD04: Harvard & YC Insider: Backing the Builders in AI, Quantum & Defense | Matthew Sutton

Even if Y Combinator never existed, Matthew Sutton would still be backing the top builders. Most investors wait for traction. Matthew Sutton backs builders before there’s proof, sometimes before there’s even a category. He is the first check writer you want to have on your side. Operating at the intersection of Harvard Ventures and the YC ecosystems, Matthew has backed AI, quantum, and defense tech founders at the moment where conviction matters more than metrics. In this episode of Deeptech Decoded, we talk about what it really takes to back deep tech when spreadsheets are useless, categories don’t exist yet, and most ideas look wrong at the beginning. Most importantly, his investment thesis and founder-centric approach. He breaks down: ◽️ How he evaluates AI, quantum, and defense founders without being technical yourself ◽️ The CURSOR LESSON: why he passed on Cursor even before its name was Cursor and what founder evolution teaches. ◽️ The 3 CRITERIA for backing pre-revenue deeptech ◽️ Why the best deep tech companies often look irrational early on ◽️ AI bubble reality check: using communities and open source to validate vs. hype ◽️ What Harvard and YC teach and don’t teach about failure Featuring ‪@NavalR‬ , ‪@ycombinator‬ , ‪@harvard‬ , ‪@rigetti‬ , ‪@starcloud-inc‬ ⁩ Where to find Matthew Sutton LinkedIn →   / mfsutton   Where to find us: Substack → https://deeptechdecoded.substack.com/ LinkedIn →   / deeptechdecoded   Spotify → https://open.spotify.com/show/5c2T63G... Apple Music → https://podcasts.apple.com/ge/podcast... In this episode, we cover: 00:00 – Introduction: Judgment before proof 04:13 – From Wall Street to backing deeptech builders 07:08 – First entrepreneurial ventures at age 12-13 09:27 – Cambridge vs Silicon Valley: The per capita talent thesis 11:37 – Why California wins at commercialization 15:16 – Where real startups are built: Dorm rooms and iteration 24:24 – Evaluating AI and quantum founders without being technical 28:03 – SimpleBet: AI sports betting meets regulatory change 31:37 – The Cursor miss: Passing on a $100M+ AI company and the lesson 38:27 – Filtering deal flow: Spotting technical founders with conviction 41:14 – Quantum investing before traction: The Segaldry story 45:02 – Finding founders outside the Bay Area echo chamber 51:21 – Defense tech's golden age: Golden Dome to rapid innovation 55:59 – Moving fast in defense: Small bets in sensitive sectors 58:25 – Leadership styles: Future creators vs past learners 1:02:35 – AI bubble navigation: Discord communities as validation 1:05:34 – Avoiding echo chambers: Stress testing investment thesis 1:11:16 – Operational discipline without killing innovation 1:16:10 – Founder suffering: Why resilience matters in deeptech 1:25:18 – Teaching failure at Harvard: The straight-A paradox 1:29:04 – What doesn't scare him about AI's future 1:32:30 – Desert island question: Three startup essentials 1:34:16 – Closing thoughts About Deeptech Decoded Deeptech Decoded is a podcast and newsletter for builders and backers working at the frontier of technology—from AI and quantum to space, and infrastructure. We focus on product judgment, conviction, and what it really takes to build what doesn't exist yet. #deeptech #earlystage #ai #frontier #entrepreneurship #venturecapital #angelinvesting