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A database client built for the AI era. Connect 40+ engines from one app — PostgreSQL, Sqlite, MySQL, Redis, MongoDB, ClickHouse, plus vector databases like Qdrant, Chroma, Milvus,Weaviate, and Pinecone. The native AI Agent reads your schema and writes SQL for you. Built-in MCP server lets AI coding agents — Claude Code, Cursor, Codex and more — read and operate on your databases directly. Rust core. Local-first.
Hi Product Hunt! 👋 Chris here, solo developer of RaisDB.
I built RaisDB because I was tired of juggling pgAdmin + RedisInsight + Compass + DataGrip every day — and none of them could talk to my vector database or let an AI agent write queries for me.
**What makes RaisDB different:**
1. 🤖 Native AI Agent — describe what you want in English, it reads your schema and writes + runs the SQL
2. 🔌 MCP server — let Claude Code / Cursor query your databases directly through RaisDB
3. ⚡ Rust core — <10ms typical query response, sub-1s cold start
4. 🔒 Local-first — credentials encrypted on your machine, queries never touch our servers
5. 🧰 Built-in SSH terminal + developer toolbox — SSH into your servers without leaving the app, plus UUID generator, hash calculator, timestamp converter, regex tester, password generator, encoding converter, and more. The little things you Google 10 times a day, now one click away.
I'm here all day — ask me anything, especially the hard technical questions. 🙏
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About RaisDB on Product Hunt
“The database client for the AI era”
RaisDB was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #92 on the daily leaderboard. A database client built for the AI era. Connect 40+ engines from one app — PostgreSQL, Sqlite, MySQL, Redis, MongoDB, ClickHouse, plus vector databases like Qdrant, Chroma, Milvus,Weaviate, and Pinecone. The native AI Agent reads your schema and writes SQL for you. Built-in MCP server lets AI coding agents — Claude Code, Cursor, Codex and more — read and operate on your databases directly. Rust core. Local-first.
RaisDB was featured in Productivity (658.2k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 345.1k products, making this a competitive space to launch in.
Who hunted RaisDB?
RaisDB was hunted by qin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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qin