Find your perfect co-founder in minutes. FounderMatch is a "Tinder for Founders" application designed to solve the hardest part of building a startup: finding the right partner. We use AI to analyze compatibility, ensuring you match with someone who shares your vision, commitment, and drive.

Finding a co-founder is like dating, but with higher stakes. Most startups fail due to founder conflict, not product failure. We built FounderMatch to create a dedicated space where founders can connect openly, skipping the awkward networking events and cold DMs.

• 🔥 Swipe Interface: A distraction-free, tactile card stack to browse potential co-founders.
• 🤖 AI Compatibility Analysis: Powered by Google Gemini, our AI analyzes profiles upon matching to provide a detailed compatibility score and summary.
• ✅ Structured Onboarding: Captures critical data upfront: Role, Skills, Commitment Level, and Equity Expectations.
• 🔒 Verified Profiles: GitHub-based authentication ensures all users are legitimate.
• 💬 Instant Connection: Match and get a breakdown of why you work well together before you even chat.

• Framework: Next.js 15 (App Router)
• Styling: Tailwind CSS
• Animations: Framer Motion & Canvas Confetti
• Database & Auth: Supabase
• AI Model: Google Gemini
• Icons: Lucide React

Follow these steps to get the project running locally.

• Node.js 18+
• npm or yarn
• A Supabase project
• A Google Cloud project with Gemini API enabled

1. Clone the repository:

   git clone https://github.com/AbhayXplor/foundermatch.git
   cd foundermatch

2. Install dependencies:

   npm install

3. Set up Environment Variables: Create a .env.local file in the root directory and add the following:

   NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
   NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
   GEMINI_API_KEY=your_gemini_api_key

4. Run the development server:

   npm run dev

5. Open the app: Visit http://localhost:3000 in your browser.

• GitHub Repo Analysis: AI agents that pull and summarize public code contributions to verify technical skills.
• Project Workspace: A shared space for matched founders to draft initial equity agreements and business plans.
• AI Icebreakers: Context-aware conversation starters based on shared interests.

Contributions are welcome! Please feel free to submit a Pull Request.

This project is open source and available under the MIT License.