Social Finder is an OSINT web application built with Flask and powered by Sherlock.
It allows you to search for a username across hundreds of social networks and get structured results in a modern web interface.

The project is fully containerized with Docker and production-ready with Gunicorn.

• 🌐 Search usernames across multiple platforms (GitHub, Twitter, Instagram, etc.)
• 📊 Clear and modern dashboard interface
• 🐳 Docker-ready setup (easy deployment)
• 🔒 Privacy-focused, no data stored
• ⚡ Fast & concurrent checks using Sherlock

• Backend: Python, Flask, Gunicorn
• Frontend: HTML, CSS, Vanilla JS
• OSINT Engine: Sherlock
• Deployment: Docker & Docker Compose

# Clone the repository
git clone https://github.com/MattiaPasti/Social-Finder.git
cd social-finder/Social

# Install dependencies
pip install -r backend/requirements.txt

# Run the app
cd backend
python app.py

App will run on: http://localhost:5000

# Clone the repository
git clone https://github.com/MattiaPasti/Social-Finder.git
cd social-finder/Social

# Build and run
docker compose up --build

App will run on: http://localhost:8000

You can test Social Finder directly at: 👉 sfinder.mattiapasti.com

This project is licensed under the MIT License – see the LICENSE file for details.

Contributions, issues, and feature requests are welcome! Feel free to open an issue or submit a pull request.

• Add PDF export of search results
• Improve detection heuristics
• Extend supported platforms
• Add authentication layer for private instances

⚡ Built with ❤️ for OSINT & Cybersecurity research.