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Build a Backend in an Afternoon With Supabase (Then Ship It for Real)

Concept To Cloud

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Build a Backend in an Afternoon With Supabase (Then Ship It for Real)

52 просмотра · 7 дней назад
Concept To Cloud
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52 просмотра · 7 дней назад
Supabase gives you Postgres, auth, storage, edge functions and realtime running on your own machine in about ten minutes. So I set it up, pointed Claude Code at it, and asked it to build something interesting. What it built: a semantic sticky wall. A live notes wall where the embeddings are generated entirely locally by the edge runtime's built in GTE-small model, so semantic search works with nothing leaving the laptop. It exercises auth, Postgres, row level security, pgvector, realtime, storage, edge functions and pg_cron, which is most of the platform in one app. Got a Supabase prototype that needs to grow up? https://concepttocloud.com/contact What is in the video: Why Postgres is my default pick for almost everything The Supabase CLI and a full local stack in twelve containers A tour of Studio: tables, SQL editor, auth, storage, edge functions, advisors Letting Claude Code build on it, and reading the schema it produced Row level security and the advisor warnings on a real project What actually changes when you take this to production The honest bit at the end: running this locally in Docker is one thing. Deploying it for real users, with the security, the scale and the maintenance that comes with it, is another job entirely. That second job is what we do. Concept To Cloud takes prototypes to production for startups. Senior led, fixed price, yours at handover. Book a discovery call: https://concepttocloud.com/contact 0:00 What Supabase actually gives you 1:08 An open source Firebase 1:58 Why Postgres is the default pick 2:54 Auth, edge functions, storage, realtime 4:57 The docs, and where to start 6:53 The CLI and supabase init 7:50 Pointing Claude Code at the project 10:40 Bootstrapping the React app 13:02 Twelve containers up: the local stack 13:55 A tour of Supabase Studio 15:33 Data APIs, webhooks, vaults and wrappers 16:24 The prompt: build something interesting 17:21 API gateway and edge functions explained 19:38 Why projects publish agent readable docs 21:17 What Claude chose to build 22:20 Walking the schema it created 24:23 Row level security and match_notes 26:20 Edge functions in the project 27:28 The advisor warnings 29:48 The finished app: semantic search 33:32 Local embeddings, nothing leaves the box 35:25 The caveats: scale, maintenance, security 36:17 Where to get help #supabase #backend #startups #postgres #webdev