CodeGraph

Every software developer who has ever joined a new team, reviewed an open-source library, or inherited legacy code — estimated 27 million active developers globally. The immediate addressable audience is developers on GitHub (100M+ registered users) who regularly clone and read unfamiliar repositories. Secondary audience: engineering managers conducting code reviews, developer advocates, technical writers, and CS students learning production codebases. The tool is language-agnostic and works on any public GitHub repo, giving it a ceiling of the entire global developer population.

Primary users: software engineers onboarding to new codebases who currently spend 1–2 weeks reading files manually before becoming productive. Secondary users: open-source contributors who need to understand a project's architecture before submitting a PR. Tertiary users: technical interviewers who want to ask specific questions about a candidate's submitted code. The core pain is universal — reading code is slow, non-linear, and mentally exhausting. CodeGraph turns a 2-week ramp-up into a 30-second graph exploration.

Neo4j, Other, Covers Claude AI, FastAPI, tree-sitter, Cytoscape.js, Next.js, OpenAI embeddings

CodeGraph was built specifically for this hackathon. The project is currently in active development with a public GitHub repository. The Neo4j AuraDB free tier has been provisioned, and the graph schema is designed. The market validation comes from comparable tools — Sourcegraph ($2.6B valuation) and CodeScene — which confirm strong developer demand for codebase understanding tools. Initial traction will be generated via a planned Show HN post and HackerNoon article at launch.