Zennfy

Zennfy is your Gen-Z investing co-pilot for crypto. A web-first AI assistant that makes exploring and investing in crypto feel simple, safe, and actually fun.

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Zennfy – Building a Crypto Co-Pilot for Gen Z

The Problem

Over the past few years, I’ve seen many teenagers, especially around the age of 18, show real curiosity toward investing in crypto. For them, it’s not just about financial growth — it’s culture, identity, and a sense of digital ownership. But every time they try to take the first step, they’re met with a wall of volatility, complexity, and misinformation.

Crypto platforms today aren’t designed for beginners. They’re filled with intimidating charts, endless jargon, and little to no onboarding. Most apps either oversimplify or overwhelm. This leaves young users either making risky, uninformed decisions or abandoning the idea altogether. I knew there had to be a better way to guide them.

What I Set Out to Build

Zennfy is my attempt to fix that. It’s a mobile-first, AI-powered crypto assistant that doesn’t just show you prices — it explains what’s going on. It helps you explore, ask questions, understand risk, and grow your investing intuition — all in a simplified, friendly interface built specifically for younger users entering this space for the first time.

How I Built It •Design Tools: I started with Figma to design the core UI and used Lovable to generate clean layout components and iterate quickly on visuals. •Coding Workflow: I used Cursor to write and refine code. Having AI support during development helped me move faster, especially under the hackathon’s time pressure. •Frontend Stack: React + Tailwind CSS •APIs: Perplexity Sonar API for intelligent, conversational insights and Q&A. CoinMarketCap API to fetch real-time crypto data. •Hosting: Netlify

Challenges Along the Way •Clarifying Complex Concepts: One of the hardest problems was simplifying crypto without dumbing it down. I spent time crafting onboarding screens and planning tooltips that could scale with users’ knowledge over time. •Time Constraints: With a tight hackathon deadline, I prioritized building a usable flow end-to-end. Advanced features like risk modeling and investing patterns were scoped for future development. •Mobile Usability: Since the target audience is mobile-first, I focused heavily on responsive UI, dark mode accessibility, and smooth transitions.

What I Learned

This project pushed me beyond design. I had to think about APIs, UX copy, logic flows, and real-time data. Building in Cursor taught me how fast you can move when AI helps bridge the gap between ideas and code. I also gained more appreciation for how important trust and context are when designing financial tools for younger audiences.

What’s Next

Zennfy is still early, but I see potential in making it a real on-ramp for young investors. With deeper personalization, smarter recommendations, and maybe even simulated investing modes, it can grow into a tool that not only educates but empowers.

This was more than a hackathon project- it was a response to a real-world need I’ve witnessed up close.

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