Dolt Workbench – A modern, browser-based, open source MySQL workbench

Hacker News

Why are SQL workbenches stuck in 2002? I work for the company behind Dolt, the first fully versioned SQL database. As a database company, we have often felt the pain of the lack of modern, web-native or browser-based SQL workbench products. We built a cool database UI for our other web products (DoltHub and Hosted Dolt) and we wanted the world to have it. The Dolt Workbench not only works with Dolt, which will unlock version control features, but it also works with any MySQL-compatible database, including MySQL and MariaDB. As far as we can tell, the Dolt Workbench is the only free, open source, browser-based SQL workbench available today. We’re actively developing and would appreciate any feedback! Get started on Docker Hub: https://hub.docker.com/r/dolthub/dolt-workbench Check out the code on GitHub: https://github.com/dolthub/dolt-workbench View announcement blog post for more information: https://www.dolthub.com/blog/2023-11-29-dolt-workbench/

Visit product View on Hacker NewsNov 29, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: open source, io, including · 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.

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

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

Correct prediction on native model

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