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Supabase’s Plan for a Billion AI-Built Apps
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Latent.Space

· 1h 11m

PodcastLatent Space

Supabase’s Plan for a Billion AI-Built Apps

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AI agents are creating more software—and that changes what a backend needs to do. Supabase co-founders Paul Copplestone and Ant Wilson join swyx to discuss running long-lived workloads alongside the database, making schemas easier for agents to understand, and designing infrastructure for a world with many more applications.

The conversation also covers Postgres reliability and scaling, Turso, open source, community-led distribution, and how Supabase uses AI internally. Recorded ahead of Supabase Select 2026.

Show notes

  • Supabase Compute — run workloads alongside the database.

  • Multigres — highly available Postgres infrastructure, in private alpha.

  • Supabase acquires Turso — the scale-out opportunity.

  • Supabase Select — the event discussed in the interview.

Chapters

00:00 Six years in the making
00:51 Supabase Compute
02:01 OrioleDB and the Postgres storage engine
03:27 Multigres and Postgres reliability
07:06 Scaling out and Turso
23:10 From prototype to petabyte
25:10 AI and Supabase’s growth
27:40 Agent-driven activation
30:00 Community and crowdfunding
36:00 Open source and enterprise sales
40:50 Will the application builder or database be stickier?
48:10 Durable workflows
50:52 Company priorities
53:24 Code-first infrastructure and declarative schemas
56:30 Will AI-generated software converge?
1:06:01 How Supabase teams use AI
1:09:45 Hiring for a remote-first company

Original source

This story was published by Latent Space and written by Latent.Space. SyncAI.news shows a preview; the complete article is on the publisher's site.

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