Hamza
725 posts

Hamza
@HAlfadel
working on my ideas - prev cred, meta, amazon, skyscanner

flew straight back from London town to get ready for my Broadway cabaret tonight !! (sorry didnt advertise… its v limited seating)

Say hello to agentOS (beta) A portable open-source OS built just for agents. Powered by WASM & V8 isolates. 🔗 Embedded in your backend ⚡ ~6ms coldstarts, 32x cheaper than sbxs 📁 Mount anything as a file system (S3, SQLite, …) 🥧 Use Pi, Claude Code/Codex/Amp/OpenCode soon

.@williamhockey is one of the least visible founders in tech relative to what he has created. He co-founded Plaid and is now building Column, a software company that owns a bank, and powers Ramp, Wise, Bilt, Mercury, and others. He funded it himself by borrowing against nearly everything he had in Plaid shares, and has never raised any outside capital. His story matters because so much of the value in our industry gets created through exactly this kind of extreme personal risk. He is maniacal about being the best in the world at his thing, and has spent his entire career betting on himself and doing whatever it takes to win. He also spends a lot of time outside the US (in places like Kinshasa) which has given him a rare perch on the power of the US dollar. We discuss: - Why emerging markets are often the most financially innovative - What owning 100% of his company allows him to do that VC-backed founders cannot - Getting margin called and nearly going bankrupt - Why the best founders are specialists - What it takes to be the best in the world at your thing - How Silicon Valley's consensus culture produces consensus founders - How the US dollar functions as an instrument of national security Enjoy! Timestamps: 0:00 Intro 9:19 Emerging Markets 14:03 Silicon Valley's Elite Consensus Problem 16:03 Rejecting the VC Hamster Wheel 21:45 Equity and Liquidity 26:03 Funding a Bank 29:45 The Necessity of Extreme Founder Risk 37:18 Finding Leverage 45:20 Longevity and Profitability in Banking 48:46 Matching Your Capital Structure to Your Business 51:44 The Unseen Power of the US Dollar 1:02:30 How AI Will Transform Legacy Banks 1:09:23 The Kindest Thing







1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers. We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy










