RepoRadar — AI-Powered GitHub Repository Discovery

AI wrote most of GitHub. Finding the repositories that didn't — the ones built by developers who stayed up late, thought it through, and left their fingerprints in the code — is nearly impossible through normal search. RepoRadar solves this. It is an AI-powered discovery tool that takes your learning goal in plain English and your experience level, then searches GitHub at scale and analyzes each candidate repository the way a senior engineer would. It reads the README, samples actual code files, evaluates commit history patterns, and scores each repository on four dimensions: relevance to your goal, code quality, human authorship signal, and beginner friendliness. Powered by IBM Bob, RepoRadar then explains the top results — what the project does, why the code is worth studying, and exactly where to start reading. Filters for language, platform, project size, and purpose let you narrow results precisely. The result is a shortlist of repositories you would never have found through normal search, each with a personal guide written by Bob. Target users are developers at any experience level who are actively learning — students, career-switchers, bootcamp graduates, and self-taught engineers who want to learn from real human code, not polished documentation or AI-generated output.