Dokugen – CLI to generate automatically generate readme files

Hacker News

Dokugen - A CLI for Auto-Generating README.md Files Hey everyone! I built Dokugen, an open-source CLI tool that automates README.md generation for developers. Why? Writing detailed, structured README files takes time, and many developers skip it or leave it incomplete. Dokugen analyzes your project and generates a high-quality README in seconds! Features: Scans your project structure Detects project type (Node.js, Python, Go, etc.) Asks simple questions (API? Database? Docker?) Generates a ready-to-use README GitHub Repo: https://github.com/samueltuoyo15/Dokugen Try it out and let me know what you think!

Visit product View on Hacker NewsFeb 19, 2025

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

77%77% 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 · Missing: supports, reddit linkedin, podcasting

70%70% 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

30%30% 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

11%11% 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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