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FinVision: Making Financial Research Accessible to Everyone

💡 Inspiration

Investing in the stock market used to intimidate me, too. Complex financial jargon, overwhelming data, and the fear of making poor investment decisions kept me—and many others—on the sidelines. I created FinVision to democratize financial research and make it accessible to everyone, regardless of their financial literacy level.

🔍 What I Built

FinVision is my AI-powered financial research platform that transforms complex financial data into beginner-friendly insights. With FinVision, you can:

Intuitive Company Research: Simply search any publicly traded company and get a comprehensive analysis in seconds
Beginner-Friendly Explanations: I break down complex metrics into plain language and visual aids
AI Investment Assistant: Chat with my AI assistant to learn investing concepts or get personalized guidance
Cryptocurrency Tracking: Monitor crypto performance with clear, easy-to-understand metrics
Personalized Dashboard: Save your searches, track favorite companies, and follow market trends at a glance
Deep Research Mode: Dive into detailed company analysis with step-by-step, beginner-friendly explanations

🛠️ How I Built It

To deliver a seamless experience, I combined cutting-edge technologies:

Frontend: Next.js 15, React 19, Tailwind CSS, Shadcn UI, Framer Motion
Backend: Supabase for authentication and database
APIs: Finnhub & Polygon for market data, Perplexity AI for research generation, Clearbit for company logos
Data Visualization: Chart.js for interactive charts and graphs

🏆 Challenges I Faced

Crafting truly beginner-friendly explanations for inherently complex financial concepts
Optimizing Perplexity API calls to balance cost and performance
Designing an intuitive UI that surfaces insights without overwhelming users
Implementing caching strategies to keep data fresh while minimizing API usage
Ensuring every screen works beautifully on desktop, tablet, and mobile

✨ What I’m Proud Of

Translating dense financial jargon into plain-language insights
Building an interactive AI assistant that adapts to each user’s questions
Delivering a responsive, accessible design across all devices
Implementing an efficient caching layer to reduce costs and improve performance
Designing a dashboard that gives users a 360° view of their research

📚 What I Learned

How to integrate AI APIs for high-quality, context-aware research
Balancing information density with usability in a data-heavy app
Performance optimization for real-time financial data
Effective data visualization techniques for finance
Secure authentication and user-data persistence with Supabase

🚀 What’s Next for FinVision

Portfolio Simulator: Practice investing with virtual funds before risking real capital
Social Features: Share insights and learn from other investors in a community feed
Mobile App: Native iOS/Android experience for on-the-go research
Advanced Alerts: Real-time notifications for key movements in your watchlist
Educational Courses: Step-by-step learning paths for different investing strategies
Brokerage Integrations: Connect your live portfolio for hyper-personalized insights