DB Pro – A Modern Desktop Client for Postgres, MySQL, SQLite and LibSQL

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Hi HN, Over the past few months I've been building DB Pro with my co-founder. DB Pro is a modern desktop database GUI client designed to make working with Postgres, MySQL, SQLite, libSQL and other engines feel fast, visual, and enjoyable. Our focus has been on the dev-experience. We wanted to absolutely nail the UX and look and feel as we believe most db clients aren't friendly to work with. Some features: Visual change review – See pending inserts/updates/deletes before committing them. Inline data editing – Edit table rows directly without clunky modal dialogs. Raw SQL editor – A focused editor for running queries with results in separate tabs. Full activity logs – Track everything happening in your database for peace of mind. Visual schema explorer – See tables, columns, keys, and relationships in a diagram. Tabs & multi-window support – Keep multiple connections and queries open at once. Custom table tagging – Organise your tables without altering the schema. Tech stack: Electron, React, tRPC, Drizzle ORM, Postgres/MySQL/libSQL/SQLite support, and native builds for macOS at the moment with Windows, and Linux coming very soon. We're super passionate about this project and we're actually documenting our journey through devlogs. The latest one is here: https://www.youtube.com/watch?v=-T4GcJuV1rM Thanks, Jay and Jack

Visit product View on Hacker NewsNov 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, visual · Missing: agents, agent, cursor

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, soon · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, para · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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