AI-first PostgreSQL client for Mac

What it does

In the maker’s words, at launch

"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?" ... As senior SWE at Twenty.com (open source CRM), I had these quite often. 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. 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... 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. 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. It's of course Free, no account required. Works offline. 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.

• PA
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  Hi HN, Over the past year, I’ve been building a native MacOS Postgres client for my personal use. While there are plenty of existing clients, I built this because: - No open-source Postgres client matched the smooth UX of tools like Sequel Pro&#x2F;SequelAce (for MySQL). - I missed the satisfaction of long-term product ownership and iteration—recent work has me jumping between projects. - I’ve been using Postgres more lately and wanted to get hands-on to deepen my knowledge. I also wanted a playground to experiment with client features that would help me on day-to-day. Some I have…

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