I made a tool to help manage SQLite databases on a VPS

Hacker News

Hey everyone! It’s a single executable that you can run on your server using Docker, Systemd, or any other tool you prefer. It provides a simple user-friendly interface to manage all your SQLite databases. Inspired by PhpLiteAdmin, it features a snappy UI and offers power-user functionalities, ability to chat with your database using natural language via OpenAI api, and other features. It’s free to use, with an option for a one-time payment to unlock all features. You can find the demo at https://demo.litequeen.com/ It's early and there's much to add. Some features I think it'd be cool to add next: - Builtin backup and extension management; - Better integration with LLM apis and open-source models for offline and local inference. - Data entry automations Cheers

Visit product View on Hacker NewsJun 24, 2024

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

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

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.

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

47%47% 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

42%42% 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

8%8% 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 · 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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