AI16z DAO

Eliza Leaderboard is an open-source analytics pipeline developed by Andreessen Horowitz (a16z) designed to track, analyze, and summarize GitHub contributions. It processes data such as pull requests, issues, reviews, and comments to calculate contributor scores based on activity and impact. The system also generates AI-powered summaries of contributions, providing insights into developer expertise and focus areas. It supports exporting daily summaries and maintaining interactive contributor profiles with visualized activity metrics.

Intended for analytics and infrastructure developers, Eliza Leaderboard requires integration with GitHub via a personal access token and optionally uses the OpenRouter API for AI-generated summaries. The pipeline is built with TypeScript and runs on Bun or Node.js environments. It features modular commands for data ingestion, processing, exporting, and summarizing, enabling flexible customization and automation through GitHub Actions workflows.

What sets Eliza Leaderboard apart is its combination of detailed GitHub activity tracking with AI-powered summarization and a smart scoring system that quantifies contributor impact. Its architecture separates code and data branches to optimize Git history management and supports database serialization for efficient version control. The project also includes tools for database exploration and CI/CD deployment to GitHub Pages, facilitating easy setup and continuous updates.

Developers can deploy their own instance by configuring environment variables, repository tracking, and GitHub Actions workflows. The pipeline supports syncing production data or initializing an empty database, with detailed migration and troubleshooting guides. Use cases include monitoring open-source project contributions, generating developer activity reports, and building community leaderboards. Comprehensive documentation and example configurations are available on GitHub to help teams get started quickly.