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Show HN: AI-first PostgreSQL client for Mac
"Can you check if this user is on the premium plan?" "I have a support ticket on Mr.Bean, saying he cannot login... Can you have a look?" "How many subscriptions did we have today?" ...<p>As senior SWE at Twenty.com (open source CRM), I had these quite often.<p>Every day I needed to check something in Postgres, I had to wait 30 seconds for DBeaver to load or fight pgAdmin's UI. So I built Paul. Yes our database configuration has too many schemas (3000 schemas) for those clients, but still, it was not Postgres fault. Only the client that couldn't handle it.<p>Paul is a native macOS app, light (<20MB) and opens in 2 seconds. You can imagine how fast it feels compared to the 5 minutes I had to wait when opening DBeaver...<p>I did not go very deep in the DBA features, nor in the UI. I kept Paul simple: you can browse tables, filter them, and sort them.<p>A few distinctions: - Paul's read-only by default: you have to explicitly switch to edit mode in the settings to allow INSERT, UPDATE, or DELETE. This makes it safe to point at production. - I added an agent mode (read-only) to interact faster with the database, without SQL knowledge. Nothing fancy, It basically is a wrapper around openAI and Anthorpic sdks. Still useful for some SQL formulas i don't use often.<p>It's of course Free, no account required. Works offline.<p>I'd love feedback on what's missing or what could be better. This is a solo project and I'm building it for me first, but open to add features if anyone feels like it could use it.
Paul is a well-executed niche tool built by a high-signal developer (Senior SWE at Twenty.com) to solve specific performance issues with existing SQL clients. While the product shows strong empathy for developer workflows and high-quality native execution, it currently lacks commercial traction and faces a highly saturated market with low barriers to entry for its AI features.