The problem FOMOWallet - Bet on the Future of CryptoCurrency solves
The Problem It Solves
In the volatile world of cryptocurrency, traders and enthusiasts face several critical challenges:
1. Missed Opportunities
- Fear of Missing Out (FOMO) often leads to rushed, emotional decisions in crypto trading.
- Traditional platforms don't provide structured ways to act on market predictions or capitalize on future movements.
2. High Entry Barriers
- Many crypto prediction markets require large capital investments or complex trading knowledge, limiting accessibility for average users interested in participating in market movements.
3. Limited Social Validation
- Traders often lack reliable ways to validate their market predictions or get community feedback before making investment decisions.
How FOMOWallet Solves These Issues
For Traders & Enthusiasts
- Make calculated bets on future crypto prices using AI-assisted insights.
- Start with small amounts to test predictions without risking large capital.
- Get real-time feedback on prediction accuracy from AI agents.
- Learn from community predictions and market trends.
- Earn rewards for accurate market predictions.
For Community Members
- Track successful predictors and their strategies.
- Participate in prediction markets without deep technical knowledge.
- Receive automated alerts about new betting opportunities.
- Get AI-guided feedback on market trends.
- Build reputation through successful predictions.
For Market Analysts
- Access encrypted, tamper-proof prediction data.
- Analyze community sentiment through betting patterns.
- Track market prediction accuracy over time.
- Utilize AI insights for market analysis.
- Share predictions with built-in social features.
Challenges we ran into
Challenges we ran into
Technical Hurdles and Solutions
Fully Homomorphic Encryption Integration
- Challenge: Implementing FHE for on-chain number storage while maintaining game fairness and performance.
- Solution: Leveraged Inco testnet's specialized FHE libraries and optimized the comparison operations to reduce computational overhead.
AI Agent Response Time
- Challenge: Initial AI feedback was too slow, causing poor user experience when players needed quick hints.
- Solution: Implemented an asynchronous feedback system with instant preliminary responses followed by detailed AI analysis.
Subgraph Indexing Delays
- Challenge: Real-time bet tracking and leaderboard updates were facing delays due to subgraph indexing latency.
- Solution: Created a hybrid system using events for immediate updates while maintaining subgraph data for historical analysis.
Cross-Chain Communication
- Challenge: Coordinating encrypted data between Polygon and Inco testnet while maintaining data integrity.
- Solution: Developed a robust bridging mechanism with fallback options and transaction verification.
Social Integration Complexity
- Challenge: Managing rate limits and API throttling for Twitter and email notifications during high activity periods.
- Solution: Implemented a queue system with smart batching for social updates and priority-based notification delivery.
Game Design Challenges
AI Hint Balance
- Challenge: Initial AI hints were either too revealing or too vague, affecting game difficulty.
- Solution: Developed a dynamic difficulty system where hint precision scales with bet size and game progress.
User Engagement
- Challenge: Maintaining user interest between betting rounds and during longer games.
- Solution: Added mini-achievements, progressive rewards, and social sharing incentives.
Security Considerations
Front-Running Protection
- Challenge: Potential exploit
Additional Features
Additional Features
New Development During Hackathon
This project was conceived and developed entirely during the hackathon period. We built everything from scratch, including:
Core Infrastructure
- Complete smart contract architecture on Polygon
- Fully homomorphic encryption implementation using Inco testnet
- Subgraph deployment for data indexing
- AI agent integration for user feedback
Innovative Features
- Real-time guess proximity feedback system
- Social integration with Twitter alerts
- Email notification system
- AI-powered hint generation
User Experience
- Interactive betting interface
- Real-time feedback mechanisms
- Social tagging system
- Community engagement features
We took the project from concept to working prototype during the hackathon timeframe, demonstrating the potential for combining blockchain technology, FHE, and AI in a novel gaming application.
Note: The entire project was conceptualized and executed within the hackathon duration, showcasing rapid development and integration of multiple complex technologies.