Data-driven intelligence for GitHub profiles.

🌐 Live Demo • ✨ Features • 📊 Algorithm • 🧩 Tech Stack • 🔮 Future • 🤝 Contribute

SuperGitSight provides a deep, structured analysis of GitHub profiles using multiple dimensions of contribution quality, consistency, and technical traits.
It transforms raw GitHub data into clean insights, helping users understand strengths, patterns, and signals behind any developer's activity.

Whether you're exploring a profile, evaluating contributors, or tracking your own growth — SuperGitSight brings clarity to the GitHub graph.

• 🔍 Comprehensive Profile Insight
  High-level and granular views of any GitHub user with detailed analytics across contributions, collaboration style, tech stack detection, OSS involvement, and work patterns.

• 📊 KCRISMAG Profile Scoring
  A multi-dimension scoring system evaluating Consistency, Contribution Quality, Reliability, Impact, Security Signals, Maintainability Indicators, Ambition, and Growth.

• 🧩 ACID Repository Scoring
  Per-repository evaluation across Architecture Signals, Cross-Domain, Innovation, and Documentation.

• ⚔️ Side-by-Side Comparisons
  Compare two Github Profiles(devs) with contextual insights, rankings, and recommendations for hiring or team placement.

• 📅 Contribution & Activity Patterns
  Trend analysis across months, weekdays, peak days, and long-term momentum with visual dashboards.

• 🧪 Tech Stack Detection
  Automated language & framework extraction from repo metadata and file structures.

• 📈 Visual Dashboards
  Clean UI to explore insights without noise, including contribution timelines, collaboration breakdowns, and benchmark charts.

• ⚡ Fast, Zero-Config Usage
  Just enter a GitHub username — insights appear within seconds.

• 📄 Shareable Reports
  Export insights as PDF-style reports for profile and comparison results.

Interactive search interface

Comprehensive profile analysis dashboard

Side-by-side dev comparison

KCRISMAG scoring framework breakdown

ACID repository scoring overview

Tech stack and language analysis

SuperGitSight uses two internal scoring systems:

A multi-factor profile evaluation across:
Consistency, Contribution Quality, Reliability, Impact, Security Signals, Maintainability Indicators, Ambition, and Growth.

Each repository receives an ACID score representing:
Architecture Signals, Cross-Domain, Innovation, and Documentation.

Only high-level explanations are public.
Core scoring logic remains proprietary.
Currently, algorithms are in Beta stage.

For detailed information, see our Scoring Documentation.

• Framework: Next.js 16
• Language: TypeScript
• UI: React 19, Tailwind CSS, Shadcn/UI, Framer Motion
• Backend: Server Actions, GitHub GraphQL API
• Database: Prisma ORM + PostgreSQL
• Caching: Redis

👉 https://supergitsight.xyz
Try your GitHub username — insights load instantly.

• 🤖 AI-assisted insight recommendations
  Personalized interpretation of GitHub patterns.

• 🔑 GitHub Token Integration
  Enabling deeper insights including private repositories for authenticated users.

• 📊 Enhanced Analytics
  More granular breakdowns and trend predictions.

• 🔔 Notifications & Alerts
  Track profile changes and get notified about significant updates.

More ideas coming soon — follow the repo to stay updated. See our Roadmap for detailed plans.

This repository contains documentation and examples only. The core analysis engine is proprietary and runs on our secure infrastructure.

To explore the documentation:

git clone https://github.com/supergitsight/supergitsight.git
cd supergitsight

• docs/ - Comprehensive documentation
• examples/ - Sample JSON outputs
• roadmap/ - Feature roadmap
• .github/ - Issue templates and workflows

• Overview - Learn about SuperGitSight
• Scoring Algorithms - Understand KCRISMAG & ACID
• Features - Detailed feature breakdown
• Architecture - System architecture overview
• FAQ - Frequently asked questions
• Changelog - Version history

Check out our examples folder for sample JSON outputs:

• Sample Profile Output
• ACID Repository Score
• KCRISMAG Profile Score

Contributions, discussions, and feedback are welcome!

1. Report an issue
2. Fork the repo and create a feature branch
3. Make changes following the existing documentation style
4. Open a pull request with a clear description

See our Contributing Guide for details.

MIT License.
Feel free to use the UI, ideas, and structure — core scoring logic remains proprietary.

Copyright (c) 2025 Om Sharma

• 🌐 Website: https://supergitsight.xyz
• 🐦 Twitter: https://twitter.com/supergitsight
• 💬 Discord: Join Community
• 📧 Email: [email protected]
• 🐦 Founder Twitter: https://twitter.com/1omsharma