Mergen – A native, local-first SQL client built with Go and Wails

Hacker News

Hello HN, I built Mergen to prove that we can have modern, React-based UIs without the heaviness of Electron. Mergen is a cross-platform SQL client (currently supporting MySQL/Postgres) that uses Wails. This allows it to use the native system webview, resulting in a ~15MB app size and instant startup times compared to DBeaver or TablePlus. Features for HN crowd: Local-First: No cloud accounts, fully offline capable. Secure: Native SSH Tunneling support. Visuals: Built-in data visualization (charts) from query results. Code is open source (GPLv3). Repo: https://github.com/parevo/mergen Happy to answer technical questions about the Wails implementation!

Visit product View on Hacker NewsDec 26, 2025

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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

72%72% 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 · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, platform · Missing: intuitive, reviews, host

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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 · Missing: arr, mrr, revenue

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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