DBcooper – Open-source database client for macOS built with Tauri

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Hey HN! I built DBcooper, a native macOS database client using Tauri (Rust) + React. Supports PostgreSQL, SQLite, Redis, and ClickHouse in one app. Features: - Schema visualizer with interactive ER diagrams - AI-powered SQL generation (bring your own OpenAI key) - Command palette for keyboard-first navigation - SSH tunnel support for remote connections - Fast and lightweight (~9MB) thanks to Tauri This started as a side project because I wanted something simpler than the existing options. Built with: Rust + Tauri, React + TypeScript, shadcn/ui Would love feedback from fellow developers. What features would you want in a database client?

Visit product View on Hacker NewsDec 31, 2025

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

92%92% 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.

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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.

Incorrect prediction on native model

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