This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
Find Good First Issues That Are Actually Available
What I Built
Finding a good first issue on GitHub is easy. Finding one that is actually unassigned, relevant to your skills, and worth contributing to is much harder.
I built Hacktoberfest Starter to help developers find open-source issues that are actually available to work on.
You add your skills and proficiency levels, and the app searches for relevant issues, filters out issues that appear to be already claimed or unsuitable, and helps you identify the issues that are a good match.
The goal is simple: spend less time scrolling through GitHub and more time actually contributing to open source.
Demo
https://hacktoberfest-starter-xyz.streamlit.app/
Code
https://github.com/Adii0906/hacktoberfest-starter
How I Built It
I built the project around GitHub issue discovery and AI-assisted analysis.
The workflow takes a developer's skills and proficiency levels, finds potentially relevant open-source issues, analyzes the results, and ranks them so the developer can focus on issues that actually match their experience.
The main idea was to make issue discovery more intelligent than simply searching GitHub for good first issue.
The project was built with open-source tools and AI-assisted development, with the AI layer helping analyze and organize issue data into useful recommendations.
Why Does Open Innovation Matter?
Open source is one of the easiest ways to learn by building with real projects, but getting started can be intimidating.
There are thousands of issues across GitHub, and beginners often don't know which ones are genuinely available or suitable for their skill level.
This project itself is open source because I want other developers to be able to improve the way issues are discovered, ranked, and matched.
The same community that contributes to open-source projects can also improve the tool that helps people find those projects.
My Agent Session
Not included.
Prize Categories
Open-Source AI Challenge — Week 1: Touch Grass
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