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BiggiEyesNFT on-chain Vrf protocol

This is not just NFT minting; it is an on-chain tokenized economy with auditable DeFi flows.

DeFi & Tokenization World

What it is

BiggiEyes is a Chainlink-powered NFT ecosystem on Polygon Amoy where users mint a ticket, redeem it, and receive a provably random NFT. The app uses smart contracts for minting, VRF routing, rewards, reserve, treasury, buyback, and liquidity logic, while the frontend (React + Vite + ethers) shows live on-chain stats and user state in real time.

How it works: a user mints a ticket, then calls redeem; redemption triggers a Chainlink VRF request in the VRF router; when randomness is fulfilled, the contract assigns the NFT from a finite 550-item collection and stores token metadata/pricing state on-chain. Mint revenue is split into tokenomics rails (distributor/reserve/treasury/buyback/rewards), and users can track claims, rewards, and system metrics directly from contract reads. We also built a CRE workflow that listens to VRF fulfill events, reads request status on-chain, calls an external API signal, evaluates both results, and outputs a monitor verdict (simulated successfully via CRE CLI).

Problem solved: most NFT mints are hard to verify for fairness and operational transparency. BiggiEyes solves this with verifiable randomness (Chainlink VRF), on-chain auditable state, and workflow-level monitoring that combines blockchain events with external signals to improve trust and reliability.

How it Works

Built as a modular DeFi + tokenization stack on Polygon Amoy: Solidity contracts handle ticket minting, Chainlink VRF-based NFT assignment, and automatic value routing into reserve, treasury, buyback, liquidity, and rewards modules. NFTs act as tokenized on-chain positions with transparent dynamic pricing. The frontend (React/Vite + ethers.js) reads live contract state for mint/redeem/rewards analytics. A Chainlink CRE workflow listens to VRF events, reads on-chain request status, calls an external Proof-of-Reserve API signal, and logs evaluation outputs (successfully simulated via CRE CLI).

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Created by

  • Daniel Barta