Best of Supabase — 2025

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   Article

   Supabase·48w

   Build a Personalized AI Assistant with Postgres

   A comprehensive guide to building a personalized AI assistant using PostgreSQL as the backbone for long-term memory and data management. The system combines LLMs with a scoped database schema, scheduled tasks via pg_cron, vector search using pgvector, and external integrations through Zapier MCP. Key features include three-layer memory architecture (message history, semantic search, structured data), autonomous scheduling capabilities, and secure database access controls. The tutorial covers practical use cases like run tracking, meal planning, and feedback analysis, with complete implementation steps using Supabase, OpenAI, and Telegram. Total monthly operating costs are estimated at around $0.54 for moderate usage.

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   Article

   Supabase·25w

   Introducing Supabase for Platforms

   Supabase launches a white-label platform offering that enables companies to provision and manage fully managed backends for their users. The service includes database, auth, edge functions, storage, and realtime capabilities, with features like zero-scaling compute instances, embedded dashboard components via Platform Kit, and project transfer capabilities. AI builders like Lovable and Bolt.new are already using it to create millions of projects. Platforms can manage infrastructure centrally or let users bring their own Supabase accounts through OAuth integration.

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   Article

   Supabase·45w

   Supabase UI: Platform Kit

   Supabase has launched Platform Kit, a new set of UI components designed for building platforms on top of Supabase infrastructure. The kit includes database, storage, authentication, and AI components that help developers create platforms providing Postgres databases to end users. Built with shadcn/ui compatibility and Tailwind CSS, these components are fully customizable and target the growing trend of companies using Supabase as Platform-as-a-Service infrastructure, particularly AI builders who now represent 30% of Supabase signups.

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   Article

   Supabase·1y

   Supabase MCP Server

   Supabase has launched an official MCP (Model Context Protocol) server, allowing users to connect AI tools like Cursor and Claude directly to Supabase for tasks such as database management, data querying, and project configuration. The MCP server standardizes tool ecosystems, enhancing AI tool integration and enabling features like resource exposure and reusable prompts. Future enhancements include OAuth 2.0 support, improved schema discovery, and more database operation protections.

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   Article

   Supabase·1y

   Open Data Standards: Postgres, OTel, and Iceberg

   The post discusses emerging open data standards in the data world including Postgres, Open Telemetry (OTel), and Iceberg. These standards are underpinned by important open source tenets: OSI-approved licensing, the feasibility of self-hosting, and vendor neutrality. Postgres has become a standard due to its compatibility across platforms and non-ownership by any single entity. OTel is gaining traction among major cloud providers for its telemetry capabilities, while Iceberg is leading in OLAP standards. The emphasis is on achieving portability and interoperability, particularly with AWS's S3, enhancing data management and reducing vendor lock-in.

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   Article

   Supabase·24w

   Introducing iceberg-js: A JavaScript Client for Apache Iceberg

   Supabase released iceberg-js, an open-source JavaScript/TypeScript client for Apache Iceberg REST Catalog API. The library provides type-safe catalog management for namespaces and tables, works across all JavaScript environments, and is intentionally minimal—it handles only catalog operations, not data reads/writes or query execution. Built to power Supabase's Analytics Buckets feature, it's vendor-agnostic, uses native fetch API, and supports multiple authentication methods. The MIT-licensed library is available on GitHub and npm.

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