I analyze your GitHub code and generate a developer personality card
Fun personality cards, but GitHub Stars is the real social signal here.

Fun stat visualization and shareable cards, but code analysis tools already exist; treats style as personality, not substance.
Developers curious about their coding style; recruiters or teams evaluating code quality patterns
SonarQube · CodeClimate · Codacy
Fun personality cards, but GitHub Stars is the real social signal here.
Identifies embedding models from digit patterns alone, ignoring semantic content entirely.
Parses a repo and emits consistent JSON fields (schema_version, summary, tech_stack, architecture, health) that you can consume via CLI, library, REST endpoint, or MCP STDIO. The explicit no‑LLM, deterministic stance makes it reliable for automation and CI; what would push it from useful to essential are more real-world sample outputs (multi-language monorepos, tricky dependency graphs) and first-class CI/webhook integrations.
Catches bots that beat JA3/JA4 by checking header logic, not just presence.
Vanity metric generator for engineering leaders who love dashboards.
Identifies LLM models by password bias patterns when they refuse to tell you.