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

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