Betify

Gambling has always been one of the biggest industries in the world, drawing millions of people with the promise of thrill and rewards. But at the same time, it has been plagued by lack of trust with traditional casinos and centralized platforms often rigging the odds in favor of the house. Players rarely know if the games are fair, leaving many feeling scammed or cheated. Even though gambling was one of the first and most popular use cases of blockchain, many platforms still fail to deliver true transparency.

Our project aims to change that by building a next-generation gambling and gaming application that uses the Pyth Network to provide entropy-driven randomness, ensuring every outcome is provably fair and tamper-proof. Alongside this fairness, the platform offers a modern UI and immersive sound design to create an addictive, engaging, and enjoyable experience. By combining transparency, blockchain innovation, and world-class design, the project brings back the excitement of gambling his time built on trust.

The platform's standout feature is its "three-layer verifiable randomness system" using Pyth Network's Entropy protocol. We deployed custom Solidity smart contracts on Arbitrum Sepolia that integrate with Pyth's cryptographically secure random number generation. A Node.js middleware server bridges our Rust backend to the blockchain, handling complex event listening and transaction management. The particularly hacky part is our smart fallback mechanism. This architecture enables us to offer provably fair games like Mines (minesweeper-style) and Apex (choice-based) where every random outcome is verifiable on-chain. The combination of Rust's performance for handling thousands of concurrent users, Privy's Web2-like user experience, and Pyth's enterprise-grade randomness creates a gaming platform that delivers both the speed of traditional web apps and the transparency that only blockchain technology can provide. The modular microservices design allows easy addition of new games while maintaining seamless integration between all components.