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).
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.
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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.
DBJoy was featured in Mac (103.8k followers), Open Source (69k followers), GitHub (41.4k followers) and Database (2.3k followers) on Product Hunt. Together, these topics include over 61.4k products, making this a competitive space to launch in.
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.
Want to see how DBJoy stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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