From GitHub activityto your next idea.

The app requests up to 50 repositories from GitHub’s Search API, looking for projects created in the last 30 days with more than 100 stars. The search results are ordered by total stars.

It saves each repository’s name, description, link, topics, star count, and basic metadata such as language and creation date. This collection step reads listing data; it does not open the README or inspect the source code.

Each repository gets a simple score: total stars divided by its age in days, with a minimum age of one day. That gives younger projects a chance to surface alongside repositories with larger star counts.

This is our own selection of GitHub activity. GitHub’s Trending page uses its own ranking, so the repositories you see there can differ from the data used by our generator.

The generator selects the 15 highest-scoring saved GitHub repositories, with their descriptions, stars, languages, and topics. Each source is ranked on its own, so repositories never crowd out signals from Product Hunt, Hacker News, or the other communities we read.

Those summaries are included alongside your form choices or written prompt to help generate four ideas. They provide context about tools and themes; they are not a technical review or a guarantee that a suggested library will fit your project.

Generation reads the source data already saved by the refresh job. It does not search GitHub again every time you press Generate, so the context reflects the last successful collection.

If no source data is available, the generator falls back to general model knowledge. Open the original repository to check its current documentation and activity before choosing it for your build.