~/talk

Using OSS models to build AI apps with millions of users

slides:none on file

Builds and launches dozens of tiny open‑source AI apps, several hitting millions: roomGPT.io 2.9M, restorePhotos.io 1.1M, Blinkshot.io 1M, LlamaCoder.io 1.4M. Uses a one‑API‑call architecture and a repeatable stack: TogetherAI for models, Next.js+TypeScript, Neon/Postgres, Clerk, Prisma, Vercel. Emphasizes simple UX, viral share loops, rapid launch/iterate cycles, free open‑source releases, and sponsorships/credits to cover compute; many apps succeed, some don’t, so volume and fast pivots decide outcomes.

AI-written summary · about

  1. 0:00Introduction
  2. 0:23About Hassan
  3. 10:58Advice for building apps
  4. 14:15QA
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