Why Agents Love Supabase — with Paul Copplestone and Ant Wilson

Key moments

The parts the AI thinks are worth your time, chosen from the creator's chapters. Click to jump.

1. 6:39Compute beside the databaseShows a concrete product decision that makes agents and apps easier to build.
2. 23:15The launch and the migrationCovers the real rollout and migration story, useful for hands-on startup execution.
3. 41:43Product-led sales and enterprise growthGives a clear view into how they scaled revenue and moved upmarket.
4. 58:43Agent-ready local developmentMost relevant to AI-native workflow design and what agents need in dev tools.

Chapters

From the creator's chapter list. Click to jump.

1. Welcome and why agents love Supabase
2. 5:23Paul Copplestone and Ant Wilson
3. 6:39Compute beside the database
4. 8:05OrioleDB and Multigres
5. 12:50Scaling up, scaling out, and Turso
6. 17:53Developer marketing and memes
7. 23:15The launch and the migration
8. 31:03Vectors, growth, and AI recommendations
9. 41:43Product-led sales and enterprise growth
10. 49:38Live migrations and analytics
11. 58:43Agent-ready local development
12. 1:06:43Community and company workflows

About this video

Why do AI agents keep choosing Supabase—and what changes when the agent becomes the user? Supabase co-founders Paul Copplestone (CEO) and Ant Wilson (CTO) join swyx for their first podcast together after a $0 to $10B speedrun as the preeminent open source, fully remote Postgres platform company. We have watched them grow from a humble Firebase alternative launched during Covid, to now being a full preferred backend for AI-built applications: long-running compute beside the database, declarative schemas, Postgres storage and reliability, Turso, developer memes, community-led distribution, and