The landing page—I wanted it to be bold and clear about exactly what we're solving from the second you arrive
This is the swipe interface. I kept it super clean so you can focus on the founder's role and skills without any distractions.
The discovery grid where you can see the community of founders and find people who match your specific needs.
The onboarding flow I built to make sure everyone is upfront about their commitment and equity expectations from day one.

FounderMatch

Inspiration

We realized that while there are plenty of platforms to promote startups or apply for jobs, there is nothing that helps founders connect openly and directly with each other. You can find investors or employees, but finding a true partner—someone to build with from day zero—is incredibly difficult. We wanted to solve this by creating a dedicated space where founders can find their perfect match, not just based on a resume, but on shared vision and compatibility.

What It Does

FounderMatch is a “Tinder for Founders.” Users create profiles detailing their roles (Technical, Design, Marketing, etc.), skills, commitment levels, and equity expectations. After swiping and finding a mutual match, our Gemini AI instantly analyzes both profiles to provide:

A compatibility score
A detailed summary of strengths
Potential concerns

This helps founders skip the small talk and dive straight into what matters.

How We Built It

Frontend: Next.js, Tailwind CSS
Animations: Framer Motion for a tactile swipe experience
Backend & Auth: Supabase with real-time data and GitHub authentication
AI: Google’s Gemini AI for real-time compatibility analysis

Challenges We Ran Into

Ensuring swipe animations felt native and smooth while handling real-time database updates in Supabase
Fine-tuning AI prompts so the compatibility analysis delivered meaningful insights instead of generic feedback

Accomplishments We’re Proud Of

The “Magic Moment” when a match occurs—transitioning seamlessly from a swipe to a detailed AI-driven compatibility breakdown
A complete onboarding flow that captures complex founder data in a simple, user-friendly way

What We Learned

How to integrate LLMs into real-time application flows
Using Supabase’s relational logic to manage complex interactions like swipes and mutual matches
Building high-performance UI components using physics-based animations

What’s Next for FounderMatch

AI Icebreakers to help matched founders start meaningful conversations
A Project Workspace where matched pairs can draft their initial founder agreement and business plan directly within the app