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Supabase co-founders discuss database plans for a growing number of AI-built appsMachine translation

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AI-assisted summary

In an interview, Supabase co-founders Paul Copplestone and Ant Wilson discuss running long-lived workloads alongside the database and making schemas easier for AI agents to understand. The show notes also describe Supabase Compute as running workloads alongside the database and Multigres as highly available Postgres infrastructure in private alpha.

Article · Original

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.

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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

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