PoYo

Always-On Conversation Analysis

Passive listening for financial terms and market discussions Natural language processing for context understanding Sentiment analysis of financial opinions and reactions Privacy-first processing with local speech-to-text

Real-Time Market Intelligence

Continuous cryptocurrency market monitoring Traditional market integration (stocks, commodities, forex) News and social media sentiment tracking Technical analysis pattern recognition

Personalized Portfolio Management

Custom portfolio tracking and rebalancing suggestions Risk tolerance assessment from conversation patterns Investment opportunity alerts based on personal interests Automated daily portfolio summaries

AI-Powered Research

Deep market analysis using Large Language Models Pattern matching across market data and user behavior Predictive analytics for market trends Personalized investment thesis generation

1. Hardware Layer

Smart locket with microphone array and e-ink display Edge processing unit for local speech analysis Bluetooth connectivity for secure data transmission Long-life battery with wireless charging

1. Software Stack [Voice Capture] → [Local Processing] → [Cloud Analysis] → [Insights] ↓ ↓ ↓ ↓ [Privacy Filter] [Context Analysis] [Market Data] [Portfolio Tips]

2. Key Technologies

Voice Processing: Local speech-to-text with financial term recognition Market Analysis: Real-time data integration with CoinMarketCap and traditional markets AI Research: Claude-powered market analysis and portfolio recommendations Security: End-to-end encryption and local data processing

1. Integration Flow // Example of core analysis pipeline async function analyzeUserContext(voiceData, marketData) { // Process voice data locally const context = await processVoice(voiceData);

// Get market insights const marketInsights = await getMarketData(context.tokens);

// Generate AI analysis const analysis = await generateAIInsights(context, marketInsights);

// Return personalized recommendations return formatUserRecommendations(analysis); }