GoCRUD – Automatic CRUD API Generator for Go Built on Huma

Hacker News

Hi HN! I'm excited to share GoCRUD, an open source Go module that extends the Huma framework to automatically generate CRUD APIs. It helps developers quickly build maintainable REST APIs while focusing on business logic rather than boilerplate. Key features: - Automatic CRUD endpoint generation - Built-in input validation - Customizable hooks for business logic - Relationship filtering - Database agnostic (PostgreSQL, MySQL, SQLite, MSSQL support) - Type-safe queries - Custom field operations Example usage: 1. Define your model with struct tags 2. Initialize database connection 3. Register with GoCRUD 4. Get a full REST API with validation, filtering, and pagination The documentation and examples are available at: https://ckoliber.dev/gocrud I'd love to hear your feedback and suggestions!

Visit product View on Hacker NewsApr 23, 2025

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

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: excited, open source, io · Missing: https docs, just released, exist

48%48% 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 · Missing: plus, platform, intuitive

37%37% 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

29%29% 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

22%22% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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