AI16z DAO
An analytics pipeline that tracks and analyzes GitHub contributions with AI-powered summaries and contributor scoring.
Overview
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.
The Problem
Open-source projects and organizations often struggle to quantify and analyze developer contributions effectively. Manual tracking of GitHub activity is time-consuming and lacks actionable insights. Additionally, summarizing contributor impact and expertise across multiple repositories is challenging without automated tools.
The Solution
Key Features
Contributor Activity Tracking
Tracks pull requests, issues, reviews, and comments across configured GitHub repositories.
Smart Contributor Scoring
Calculates scores based on activity volume and impact to rank contributors.
Interactive Profiles and Visualizations
Provides web pages with contributor profiles and activity metrics.
Daily, Weekly, Monthly Reports
Exports summaries and reports in JSON format for further analysis or display.
Key Strengths
How Developers Use AI16z DAO
Open Source Project Contribution Analytics
Track and analyze developer contributions across multiple repositories to identify key contributors and activity trends.
Developer Impact Reporting
Generate AI-powered summaries and scoring reports to showcase individual or team contributions for performance reviews or community recognition.
Community Leaderboard and Engagement
Build interactive leaderboards and profile pages to motivate contributors and foster community engagement.
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Pricing
Open Source | |
|---|---|
| Price (Monthly) | Free |
| Price (Annual) | Free |
| Messaging | N/A |
| Support | Community support via GitHub |
| Analytics |
Resources
The project provides comprehensive documentation covering setup, configuration, pipeline commands, database management, and deployment. It includes guides for environment setup, GitHub Actions workflows, AI summary integration, and troubleshooting.