Best of SupabaseJune 2025

  1. 1
    Article
    Avatar of supabaseSupabase·42w

    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.

  2. 2
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·45w

    An MCP-powered Voice Agent

    A technical demonstration of building a voice agent using Model Context Protocol (MCP) that can query databases and perform web searches. The system uses AssemblyAI for speech-to-text, Firecrawl for web search, Supabase as the database, LiveKit for orchestration, and Qwen3 as the LLM. The agent transcribes user speech, determines whether to query the database or search the web, and responds via text-to-speech.

  3. 3
    Article
    Avatar of supabaseSupabase·44w

    Announcing Multigres: Vitess for Postgres

    Supabase announces Multigres, a new database clustering system for PostgreSQL inspired by Vitess. The project is led by Sugu, co-creator of Vitess, and aims to provide sharding, connection pooling, query routing, and high availability for Postgres databases. Multigres will be open source under Apache 2 license and focuses on compatibility with the Postgres ecosystem while providing a gradual scaling path from simple connection pooling to petabyte-scale sharded solutions.

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    Video
    Avatar of youtubeYouTube·45w

    How to Clone ANY Web App in Minutes Using AI (No Coding Needed!)

    A step-by-step guide demonstrating how to clone web applications using AI tools without writing code. The tutorial covers using Lovable AI to generate app structure from screenshots, integrating Supabase for backend functionality, securing API keys, adding authentication, and publishing the final application online. The example shows cloning a text-to-speech application similar to ElevenLabs, complete with user login, database storage, and custom features.