MinialDoc – Lightweight Open Source API Documentation and Demo Tool

Hacker News

Hey HN, I built MinialDoc because I found existing API documentation tools too complex and expensive for small projects. I just wanted a simple way to create, share, and demo APIs—so I built one. With MinialDoc, you can: - Create and update API documentation easily. - Test endpoints online and share them with others. - See auto-generated code snippets in Python and JavaScript. - Upload API docs using OpenAPI. MinialDoc makes it easier for developers to demo and test APIs without extra setup. I'm also working on adding Notion-style editing to make documentation even easier to write and organize. It’s still in beta, and I’d love your feedback! If you're interested, check out this demo: GitHub: https://github.com/oyeolamilekan/minialdoc Live demo: https://test-json.minialdoc.com/reference/fetch-todos

Visit product View on Hacker NewsMar 30, 2025

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

86%86% 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: exist, open source, existing · Missing: https docs, excited, just released

57%57% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% 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

29%29% 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

13%13% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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