Using LDA to suggest GitHub repositories based on what you have starred
Using LDA to suggest GitHub repositories based on what you have starred launched on October 1, 2017 with 99 votes, #450 of 3,169 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
GitSuggest uses Latent Dirichlet Allocation (LDA), a machine learning technique, to recommend GitHub repositories based on a user's starred projects. Designed for developers looking to discover relevant open-source repositories, it analyzes the content and topics of repositories a user has already starred to suggest similar ones. The tool helps developers find new projects aligned with their existing interests and technical focus areas.
written from the facts on this page · September 2026
Does a similar job
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Several months ago, I built a "stealth" feature that I could use. It hasn't been advertised, and I've been the only user. As I find it useful for myself, I believe others (software developers) may like it too. So, this is the first public post about it, and if it gets any positive feedback, I may put some time into promoting it more. In essence, given that you've opened a GitHub repo (there are ~225k of the more popular ones indexed as of now), you can replace "github" with "libhunt" within the URL, and you will find the top alternatives and related projects. For example, here are three…
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