This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

DBJoy

An AI-first native macOS client for PostgreSQL

DBJoy is a beautiful, lightweight, and fully featured macOS postgres client. Ask an AI assistant or Claude Code about your data (MCP Server). Browse tables, follow foreign keys, and see an ER diagram. Compare schemas and generate migrations.

Top comment

Features

  • Ask an AI assistant or Claude Code about your data (MCP Server)

  • Browse tables, follow foreign keys, see an ER diagram

  • Edit data with staged changes committed in one transaction

  • Extra confirmation on production

  • SQL editor with completion and per-tab transactions

  • Compare schemas and generate migrations

  • SSH tunnels

  • Export to CSV, JSON or SQL, back up with pg_dump

About DBJoy on Product Hunt

“An AI-first native macOS client for PostgreSQL”

DBJoy was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #124 on the daily leaderboard. DBJoy is a beautiful, lightweight, and fully featured macOS postgres client. Ask an AI assistant or Claude Code about your data (MCP Server). Browse tables, follow foreign keys, and see an ER diagram. Compare schemas and generate migrations.

On the analytics side, DBJoy competes within Mac, Open Source, GitHub and Database — topics that collectively have 216.5k followers on Product Hunt. The dashboard above tracks how DBJoy performed against the three products that launched closest to it on the same day.

Who hunted DBJoy?

DBJoy was hunted by Agustín Dondo. 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.

For a complete overview of DBJoy including community comment highlights and product details, visit the product overview.