zkLeaderboard
A zkVerify powered betting + leaderboard infrastructure to make games competitive
About
The problem it solves zkLeaderboard bridges the gap between traditional gaming and competitive Web3 gaming by providing a plug-and-play betting infrastructure. It solves key challenges for both game developers and players: ## Core Problems - Game developers must invest significant resources to add competitive elements and economies to their games - Players lack meaningful ways to engage with leaderboards and face trust issues with traditional ranking systems - Each game operates in isolation, creating fragmented experiences and multiple token systems ## Our Solution **For Developers:** - Simple API integration without modifying existing game mechanics - Ready-to-use betting infrastructure with built-in economy - Zero-knowledge security through zkVerify ensures leaderboard integrity **For Players:** - Bet on player performance across multiple games using a single token - Progressive betting rounds make competition more meaningful - Cryptographically verified rankings prevent manipulation - Unified experience across all integrated games with consistent interface This infrastructure makes existing games more engaging while saving developers significant time and resources, all secured by zero-knowledge proofs. It creates a standardized competitive layer that works across the gaming ecosystem, benefiting both developers and players without complex integration requirements. ## Real-World Applications - Esports and competitive gaming platforms - Educational games seeking to increase engagement - Social games looking to add competitive elements - Game developers wanting to boost player retention - Gaming communities seeking cross-game competition ## Future Impact - Creates a standardized competitive layer for the gaming industry - Enables new forms of engagement without changing core gameplay - Provides a foundation for cross-game competitive ecosystems - Makes adding Web3 elements to games more accessible
How it's made
Challenges we ran into You're right, we should add the database security limitation. Here's the revised version: # Technical Challenges and Solutions ## 1. Arbitrum Stylus Contract Size The main challenge was managing memory constraints in Stylus smart contracts: - Initial contract implementation exceeded memory limits - Lack of established patterns for large Rust-based contracts - Limited tooling compared to Solidity ecosystem **Solution**: Had to significantly refactor the contract, breaking down functionality into more manageable components. This highlighted the need for better storage management patterns in Stylus contracts. ## 2. zkVerify and RISC0 Integration Working with relatively new zero-knowledge proof infrastructure presented several hurdles: - Limited documentation and examples for zkVerify integration - Understanding how to structure RISC0 guest/host programs effectively - Learning curve with ZK proof generation and verification flow **Solution**: Had to experiment through trial and error while working with basic examples first. The experience showed that more comprehensive documentation and examples would benefit future developers. ## 3. Database Security Compromises For the hackathon implementation: - Used SQLite database for simplicity, leaving scores potentially exposed - Backend API could be modified to expose sensitive score data - Production version would need encrypted storage and secure API design ## 4. Betting Window Implementation Made several practical compromises: - Manual operator control for betting windows instead of automatic block-based timing - Simplified phase transition logic - Basic randomization for address selection While these areas need enhancement for production, the current implementation successfully demonstrates the core concept of zero-knowledge powered betting infrastructure.