Instantly Handle SQL Commands from Natural Language

Hacker News

Hey HN, I built an open source SQL editor w/ AI to take the pain out of writing complex MySQL queries and learning syntax or repeatedly prompting ChatGPT, which doesn't fully understand your DB's schema. This app has an AI chat that understands your database and can act with context, executing complex tasks. For example, I can ask "What's the last user that signed up? Can you set that user's paid status to TRUE?", and it will create a plan and execute it after you confirm. The AI can run SQL commands and execute complex, multistep tasks, when prompted. The app features a window to run commands, panel to view the tables and AI chat to prompt for changes or get info. I created this to help me use SQL without needing to prompt ChatGPT very verbosely every time. The app understands the context of the DB, so no need for that. It's all open source on GH. Would love for some people to check it out.

Visit product View on Hacker NewsJul 21, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, context, chatgpt · Missing: mac, agents, macos

96%96% 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: open source · Missing: https docs, excited, just released

56%56% 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: created · Missing: supports, reddit linkedin, podcasting

55%55% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, paid · Missing: web3, crypto, cryptocurrency

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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