Inspiration
Tracking NFT trends across Base felt too abstract for casual users, so we turned the data into a playful visual—bubbles that capture the day’s market mood at a glance.
What it does
NFT Bubbles charts 24‑hour floor‑price changes for Base collections. Each collection is a bubble whose size reflects the magnitude of the move and whose color (green/red) shows direction, letting users instantly spot winners and losers. The app doubles as a Farcaster mini‑app, so it launches directly inside the social feed.
How we built it
We used Next.js (App Router, TypeScript) for the frontend and D3 to simulate bubble physics and positioning. Base MiniKit provides Farcaster integration and chain configuration, while mock data in filtered_collections.csv powers the initial demo (ready to swap for a real API). The layout is fully responsive, with MiniKitProvider handling Farcaster frame readiness and manifest routing.
Challenges we ran into
Accomplishments that we're proud of
What we learned
What’s next for NFT Bubbles?
Built With
Next.js • TypeScript • D3 • Base MiniKit / OnchainKit • Python
Try it out
Farcaster mini‑app: Farcaster app
GitHub: GitHub
Team members:
Danila Novik GitHub Telegram
Heorhi Shtsivel GitHub Telegram
Bounties
Wallet for payouts: EVM 0xC3906d753067918dc75857468d83884c54155259