HOW RHEOLE WORKS
An architecture designed to keep spatial data local and secure.
“We don't build maps to track individuals. We compile real-time spatial frequencies to help people discover the world around them.”
The underlying design shifts data control back to the edge, processing proximity without compromising privacy.
Spatial Clustering Flow Diagram
Your coordinates are immediately scrubbed and hashed locally. The network only receives spatial indexes, preventing continuous activity tracking back to specific profiles.
Location Processing
Rheole handles spatial data entirely client-side. Rather than streaming raw GPS tracks to central servers, device coordinates are localized into decentralized geohash clusters.
- Client-side geohash compilation
- Zero raw GPS tracking
- Local boundary caching
Identity & Anonymity
Presence on the network is verified cryptographically without exposing literal user profiles. Identity decays naturally and is never sold.
- Local signature verification
- Ephemeral spatial profile decay
- Decentralized auth tokens
Communities
Communities are mapped using spatial density and user-selected nodes rather than algorithms focused on maximizing screen time.
- Spatial boundary clustering
- Interest-driven density mappings
- Peer moderation nodes
Events
Rheole maps real-time events by monitoring presence clusters and localized schedules, filtering out noise and advertising.
- Presence density index
- Real-time calendar verification
- Organic crowd signals
Messaging
Hyperlocal discussions route through local relays and peer connections, ensuring chat stays persistent and secure locally.
- Local channel grouping
- Encrypted transmission
- Automatic history decay
Intelligence & Routing
Movement decisions are evaluated dynamically by combining traffic density, micro-weather patterns, ongoing events, and road conditions.
- Dynamic detour mapping
- Weather density index
- Real-time signal synthesis