Fin/ge

Inspiration

Our inspiration came from observing the addictive yet often unfulfilling nature of dating apps. We wanted to channel that engaging user experience into something more productive - helping people build their financial future. While dating apps help you find potential partners, we help you find potential investments through an intuitive, swipe-based interface combined with AI-powered insights.

What We Learned

• Integrating multiple APIs and data sources requires careful planning and robust error handling to ensure reliable data flow
• User engagement patterns from dating apps can be effectively repurposed for educational and financial purposes
• Real-time AI interactions need thoughtful design to be both helpful and computationally efficient
• Building trust is crucial when dealing with financial information and advice

How We Built It

Frontend

We developed using Vite + React + TypeScript to create a responsive and dynamic user experience that feels as smooth as popular dating apps. Tailwind CSS, Shadcn/UI, and Typed.js offered us additional formatting and styling flexibility.

Backend Infrastructure

• MongoDB Atlas stores company profiles, user preferences, and interaction history
• FastAPI powers our backend, handling user requests and data processing
• We curated and categorized data for the top 50 companies to ensure quality matches
• Integrated Perplexity and OpenAI SDK to power intelligent conversations about companies and investments

Challenges

• Implementing secure and seamless user authentication across the platform
• Establishing reliable frontend-backend communication while maintaining performance
• While data collection was straightforward, ensuring relevance and accuracy in company information required significant cleaning and validation

Accomplishments that we're proud of

• Successfully implemented a responsive, intuitive interface that transforms financial education into an engaging experience
• Developed sophisticated AI chat functionality that provides real-time, accurate company insights and financial education
• Created an efficient swipe-based discovery system for company profiles and investment opportunities
• Integrated complex financial data streams with an accessible, user-friendly interface
• Built a scalable platform that effectively combines social engagement patterns with financial literacy tools

What we learned

• Integrating multiple APIs and data sources requires careful planning and robust error handling to ensure reliable data flow
• User engagement patterns from dating apps can be effectively repurposed for educational and financial purposes
• Real-time AI interactions need thoughtful design to be both helpful and computationally efficient
• Building trust is crucial when dealing with financial information and advice
• Data cleaning and validation processes are essential for maintaining accurate company information

What's next for Fin/ge

• Expanding our company database (because there are more fish in the sea)
• Adding social features so users can share investment ideas (like a finance group chat, but actually useful)
• Partnership with established brokerages to enable direct stock purchases through our platform

Built With

• fastapi
• mongodb
• react
• typescript
• vite