About this episode

Paul Copplestone discusses how Supabase achieved product-market fit and scaled effectively in the AI era.

In this episode of In Depth, Brett sits down with Paul Copplestone, co-founder and CEO of Supabase, the open-source Postgres platform now serving more than seven million developers. Before Supabase, Paul launched a Thumbtack-style marketplace in Southeast Asia and co-founded an office-management startup called Nimbus, experiences that taught him to separate fundraising from building and to find product-market fit before blitzscaling. He breaks down how a single tagline change for Supabase unlocked product-market fit, why he runs a fully distributed async team with near-zero attrition, and how he turned PLG signals into a product-led sales motion comped only on incremental uplift. In today's episode, we discuss: How changing one tagline helped Supabase go to #1 in Hacker News - an early sign of product market fit Why Paul ran Supabase like it had only $100K in the bank despite raising real money How Supabase rode three distinct AI waves, from pgvector to Bolt and Lovable, to Claude Code Why Supabase built a sales team comped only on the incremental uplift over a control group What the Toyota production system's "kaizen" taught Paul about unblocking a scaling team References: Ant…

People in this episode

Host: Brett

Guest: Paul Copplestone

Topics covered

• AI infrastructure
• product-market fit
• distributed teams
• scaling startups
• sales strategies

Keywords

• Supabase
• AI
• product-led growth
• fundraising
• scaling
• async teams
• Hacker News
• tagline change

Mentioned in this episode

Organizations: Supabase, Thumbtack, Nimbus, Hacker News, Toyota, Firebase, MongoDB, Entrepreneurs First

Products: pgvector, Bolt, Lovable, Claude Code, Codex

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