GitBegin – Contribute to Open Source by finding good first issues

Hacker News

I've just launched Git Begin, a web app that helps developers find their first open-source issues to work on. What Git Begin does: Finds "good first issues" on GitHub Filters by programming language, project stars, and other criteria Covers various fields: Web Dev, Mobile Dev, Data Science, ML, DevOps, Cybersecurity, and Documentation Lets you bookmark issues for later Works in light or dark mode I built Git Begin with Remix.js, React, and Tailwind CSS. It's designed to work well on both desktop and mobile. GitHub repo: https://github.com/The-Enthusiast-404/git-begin I made this because finding the right issues to start contributing to open source can be challenging. If you're looking to contribute to open source, or if you maintain a project and want to attract new contributors, Git Begin might be useful for you. Feel free to try it out and let me know what you think. All feedback is welcome.

Visit product View on Hacker NewsAug 23, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

94%94% 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: open source, io · Missing: https docs, excited, just released

69%69% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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

38%38% 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

14%14% 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

Similar products

Open-source tool for finding VPNs in your traffic39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source tool for finding VPNs in your traffic

Hacker News1

IssueScout – Find open source issues worth contributing to52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IssueScout – Find open source issues worth contributing to

Hacker News1

Fixbounty – Find security issues in open source projects66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fixbounty – Find security issues in open source projects

Hacker News8

Find and fix issues in your AI Agents (MIT, open source)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find and fix issues in your AI Agents (MIT, open source)

Hacker News2

Rysolv – Fix open source issues, get paid72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rysolv – Fix open source issues, get paid

Hacker News250

Find good first issues with a codebase you're comfortable with54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find good first issues with a codebase you're comfortable with

Hacker News4

SlideSelection, an Open Source Hooper Selection Implementation47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SlideSelection, an Open Source Hooper Selection Implementation

Hacker News4

Piki is now open source73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Piki is now open source

Hacker News2

Open Source CNC Beehive With Arduino and Sensors58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source CNC Beehive With Arduino and Sensors

Hacker News1

An Open-Source Intro to WebApps Curriculum72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An Open-Source Intro to WebApps Curriculum

Hacker News12

Browse all products Analyze your launch