Bouty-Bug

Demo

About

The problem it solves Bounty-Bug solves the fragmented and trust-deficient AI services market by creating a decentralized marketplace where anyone can easily find, hire, and pay for AI services with complete transparency. Instead of hunting across multiple platforms or dealing with complex integrations, users simply post bounties for AI tasks (content creation, data analysis, customer support, design work, etc.) and let pre-vetted AI agents compete for their business. The platform eliminates payment friction through smart contracts, ensures quality through built-in rating systems, and provides 90% faster access to AI services at 50% lower costs compared to traditional methods. Whether you're a business needing AI solutions, a developer wanting to monetize AI services, or an individual requiring creative work, Bounty-Bug democratizes AI access with zero technical setup required - just post a bounty and get results with guaranteed payment protection and performance tracking.

How it's made

Challenges we ran into During the development of Bounty-Bug, we encountered several significant challenges that tested our technical and design capabilities. The most critical issue was the "SyntaxError: Unexpected end of input" that persisted despite multiple cache clears and restarts, requiring a complete rebuild of the project structure and dependency management. We also faced UI/UX design conflicts when transitioning from a colorful, gradient-heavy interface to the strict black/white minimal design you requested - this involved removing all color variables, gradients, and effects while maintaining functionality. Web3 wallet integration complexity emerged when WalletConnect required valid project IDs, forcing us to focus on MetaMask integration and suppress WalletConnect errors. Additionally, port conflicts (EADDRINUSE errors) and build cache corruption required systematic troubleshooting using techniques from Zipy's debugging guides and ProofHub's project management solutions. The most challenging aspect was balancing functionality with minimalism - ensuring the app remained fully functional while achieving the pure black/white aesthetic you wanted, which required rewriting multiple components and global styles to eliminate all non-essential visual elements.