Genesis – A language-agnostic project scaffolder and task runner

Hacker News

Hi HN, I'd like to share a project I've been working on called Genesis. It's a command-line tool written in Go that aims to unify how developers start and manage projects, regardless of the programming language or framework. The main motivation was to have a single, consistent interface for common tasks. Instead of juggling npm run, make, rake, or shell scripts for different projects, you can just use genesis run <task>. Key features: - Project Scaffolding: Initialize new projects from any Git repository that contains a template.toml file. You can create your own templates or use existing ones. - Task Runner: Define and run common tasks like build, test, or lint in a local genesis.toml file. - Language Agnostic: Works with Go, Rust, Python, Node.js, or any other stack. - Single Binary: It's a single, portable binary with no external runtime dependencies. I just finished the first version and have a roadmap that includes a TUI and a plugin system. I'm looking for feedback from the community on the concept and execution. You can check out the project and its source code here: https://github.com/felipevolpatto/genesis Thanks for taking a look

Visit product View on Hacker NewsJul 22, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single, tasks · 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.

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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

9%9% 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.

Correct prediction on native model

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