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NextMin – Schema-Driven APIs with Hot Reloading

Hacker News

NextMin – Schema-Driven APIs with Hot Reloading

I’ve just deployed the official documentation site for NextMin → https://nextmin.gscodes.dev/ NextMin is a developer toolkit designed to make schema-driven development fast and transparent. Some key features: Dynamic Schema System – instantly generate CRUD APIs from JSON schemas Admin Panel – React + Tailwind, live schema updates API Router – flexible, with JWT + API key authentication File Storage – S3-compatible upload support Hot Reloading – backend and frontend reload without restarts Monorepo Ready – plug-and-play with private npm packages New: you can try it directly in the NextMin Playground here: https://nextmin-playground.gscodes.dev/ I built this because I believe dev tools should be fast, adaptable, and not locked behind walls. Would love feedback from the community.

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Actual performance

3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code, apis · Missing: mac, agents, macos
76%76% 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 · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
58%58% 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
52%52% 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 · Missing: plus, platform, intuitive
50%50% 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
24%24% 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
20%20% 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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