LYZN | Devpost

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LYZN
contract creation

Inspiration

Small businesses get crushed by price volatility they can't control. When sugar prices spike 40%, a bakery's margins evaporate. When currency swings, an importer can't forecast costs. But while Fortune 500 companies hedge these risks routinely, SMEs are locked out—derivatives require $100K+ minimums and expertise they don't have.

We built LYZN to change that. Peer-to-peer hedging for businesses that need it most.

What it does

LYZN matches businesses through event contracts whose risks naturally offset each other. A bakery worried about sugar rising meets a refinery worried about sugar falling.

The flow:

Chat with AI about your business
Get personalized hedge recommendations
Browse existing contracts or create your own
Smart contracts handle escrow and automatic settlement

How we built it

Frontend: Next.js
Backend: Supabase, Node.js
AI: xAI and ChatGPT for conversational risk assessment and agents for semantic matching
Smart Contracts: Golang on Solana with PYTH oracles
IDE: Cursor (huge productivity boost)

The agents understands supply chains—it knows a bakery's sugar risk naturally hedges a refinery's opposite exposure. Smart contracts hold collateral and settle automatically using oracle price data.

Challenges we ran into

Regulatory complexity - Understanding CFTC rules around swaps and event contracts. Learning the difference between legal hedging and illegal gambling.

Making finance accessible - Translating derivatives into language real business owners understand. No one wants to hear "strike price" and "notional amount."

Cold start problem - How do you bootstrap liquidity when early users might not find matches? We built a "contract bank" for unmatched orders.

New tech for everyone - 3/4 of us had no finance background. Most of us had never touched smart contracts or semantic search before this weekend.

Accomplishments that we're proud of

We went from idea to working demo in 48 hours. Four people who'd never worked together before built something that solves a real problem—protecting small businesses from the price shocks that bankrupt them.

What we learned

We're engineers who learned about swaps, CFTC regulations, and bilateral derivatives this weekend. We shipped smart contracts we'd never written, semantic matching we'd never built, and a conversational AI that actually understands supply chains.