AIツールBecomes the API

AIの力を解き放とう、Supabase + pgvectorで。

Postgresとベクターテクノロジーを用いて、手軽にインテリジェントアプリケーションを構築・拡張しましょう。

shipped 2025年11月14日buildpaid

BuildDataPostgres + vector

Supabase + pgvector - AI tool hero image

注目ポイント

1PostgreSQLとの直接統合により、リアルタイムの類似検索と高次元ベクトル埋め込みのストレージが実現します。

2高度なインデックス方法により、高速でコスト効果の高いパフォーマンスを実現しつつ、精度を損なうことはありません。

3シームレスな自動埋め込み生成は、開発者のための埋め込みパイプラインを簡素化します。

Stork Quadrant

Becomes the API· 50/100

Replaceable as a UI, but kept alive as the API the agents call.

“Supabase is a developer-beloved open-source Firebase alternative with real brand gravity in the indie hacker and startup community. The coordination moat is real but thin — it bundles auth, storage, realtime, and Postgres into one platform that would take weeks to replicate from scratch. LLMs can write all the code, but they can't run the infrastructure or hold the auth keys. The risk is commoditization from managed Postgres competitors (Neon, PlanetScale, Turso) and from agents that provision infra directly via APIs.”
— Claude Sonnet 4.6, scored 2026-05-27

Defensibility · 22/100

Physical-world coupling
Regulatory moat
Network liquidity
Proprietary refreshing data
High-trust catastrophic workflows
Multi-party coordination
Brand / community / taste

An LLM alone could replace

Generate SQL queries and schema designs for a Postgres database
Write vector similarity search logic and embedding pipeline code
Explain how to set up pgvector indexes and query patterns
Draft authentication and row-level security policies

Agent-Readiness · 85/100

Verified MCP— Stork MCP listing: supabase-mcp-2 (confirmed)
Listed on agent surfaces— anthropic_directory, cursor + Stork:supabase-mcp-2
Usage-based pricing— pricing page heuristic match: https://supabase.com/pricing
Headless agent auth
Public OpenAPI— https://supabase.com/docs
Active changelog— https://supabase.com/blog (2026-05-08)
llms.txt— https://supabase.com/llms.txt

Score history · +28 pts over 3 re-scores

How to defend

Double down on the agent-native angle — become the database layer that AI agents call directly via MCP or function-calling APIs, not just the one developers configure manually. Own the 'Postgres for agents' positioning before Neon does.