ContribConnect

🌟 Inspiration

Open source fuels global innovation, but contributing effectively remains hard.
New developers often ask: “Where do I start?” or “Who can help me?”
Maintainers, on the other hand, struggle to identify active contributors and experts within large repositories.
We were inspired to solve this visibility gap — to make open source contribution as intelligent and guided as AI-assisted coding itself.
That’s how ContribConnect was born — an AI-powered explorer that helps people find the right repositories, the right experts, and the right issues instantly.

🤖 What it does

ContribConnect transforms the way developers discover and collaborate in open source.
It automatically:

Visualizes contributor relationships with interactive D3.js graphs
Lets users chat with an AI assistant to find experts, “good first issues,” and PR insights
Provides an onboarding flow to add repositories and scrape contributor data automatically
Uses AWS Bedrock and Nova Pro models to generate intelligent recommendations and summaries

In short — it’s your AI companion for open source collaboration.

⚙️ How we built it

We built ContribConnect as a full-stack system combining modern frontend technologies with a scalable AWS backend:

Frontend: React 18, Vite, React Router, and D3.js for data visualization
Backend: AWS Lambda + API Gateway for compute and routing
Database: DynamoDB for storing graph data (repos, users, edges, issues)
AI Layer: Amazon Bedrock (Nova Pro + Titan Embeddings) for reasoning and conversation
Storage & Deployment: S3 for hosting, CloudFront for CDN delivery, CloudFormation for IaC
Scraper: Custom GitHub ingestion service fetching contributors, PRs, and issues
Visualization: D3.js rendering network structures directly in the browser

🧩 Challenges we ran into

Graph Data Modeling: Representing contributor–repo relationships efficiently within DynamoDB required thoughtful partitioning and indexing.
GitHub Rate Limits: Managing API limits and retries while scraping large repositories.
AWS Permissions: Setting up Bedrock access and secure IAM roles took fine-tuning.
Frontend Performance: Optimizing D3.js rendering for large networks without lag.
Design Cohesion: Maintaining a cinematic dark theme consistent with the product’s identity.

🏆 Accomplishments that we're proud of

Successfully integrated Bedrock AI models to make open source collaboration intelligent and conversational.
Built a fully functional ingestion and visualization pipeline connecting GitHub → AWS → React frontend.
Designed a dark, futuristic UI that feels like an enterprise-grade developer tool.
Created an autonomous scraper capable of mapping contributors, PRs, and files at scale.
Most importantly, turned a complex idea — “AI for open source collaboration” — into a working prototype within the hackathon timeframe.

📚 What we learned

How to architect and deploy serverless AWS applications with CloudFormation and Bedrock integration.
Practical lessons in graph database design and data visualization with D3.js.
How to build a conversational UI that bridges AI reasoning with human collaboration.
The value of minimal, purposeful UI design — less text, more insight.

We realized that AI can empower open source not by replacing developers,
but by helping them see and connect better.

🚀 What's next for ContribConnect

AI-Powered PR Reviews: Automatically suggest reviewers and detect code ownership.
Contributor Analytics: Visualize expertise and activity trends across organizations.
Multi-Repo Intelligence: Aggregate graphs from multiple projects to show ecosystem-level insights.
Public Beta Launch: Deploy ContribConnect for popular OSS communities (e.g., React, FastAPI, Hugging Face).
Integration Hub: Connect with Discord, Slack, and GitHub Actions for real-time insights.

We envision ContribConnect as the intelligent collaboration layer for every open source project — helping people contribute faster and smarter.

Built with using React, D3.js, and AWS Bedrock.