Josue Agbekodo

Parses a raw WhatsApp .txt export into a structured message timeline, then runs LLM analysis pipelines over it to extract response latency, initiation ratios, sentiment drift, and ghost events. Gives you full observability on your conversation history — aggregated stats rendered as interactive charts.

Follows the boids simulation rules (separation, alignment, cohesion) computed server-side in a NumPy/SciPy physics loop with vectorized spatial neighbor queries. Each frame is streamed to the client over WebSocket; the frontend renders it on a React canvas. Tunable sliders update simulation parameters live without restarting the loop.

Custom word is encoded in the share URL; no backend needed. Hints are powered by conversational AI with two distinct system-prompt personas — one genuinely helpful, one designed to mislead. Voice chat runs directly in the browser via the Web Speech API, streamed into the Gemini context as turns.

Players join a shared lobby over Socket.IO; the wheel spin is server-authoritative — the result is computed once and broadcast to all connected clients simultaneously so nobody can dispute the outcome. The spin animation is rendered on a Canvas element, synced to the server-emitted result.