SQL Data Builder – Visual schema and query builder

Hacker News

Hi HN! I’ve been building SQL Data Builder, a web-based visual database management tool that makes creating and managing SQL databases way easier — no SQL syntax knowledge required. It’s a part of the VPS Commander suite but fully usable on its own:What it does Visual table designer with drag-and-drop column & relationship editing Interactive ER diagrams that update as you design Inline data editing & filtering in a spreadsheet-like view Automatic SQL code generation so you can learn from your actions Works with real databases: MySQL, PostgreSQL, and SQLite Web-based, no installation — just open your browser and connect VPS Commander Why I built it I was tired of heavyweight, desktop-only tools and outdated UIs that make simple schema design and querying slower than it needs to be. I wanted something: Fast to learn and productive from the first click Accessible from anywhere without installing Helpful both for beginners and seasoned developers. I’m sharing this not just for feedback, but to find out how visual DB workflows resonate with devs who deal with schema design and ad-hoc data tasks every day. Happy to answer questions about design, implementation, UX choices, or future features! Thanks!

Visit product View on Hacker NewsDec 27, 2025

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Launch Intel predictions

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

93%93% 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 · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: builder · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% 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

14%14% 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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