Tried bilawalsidhu/gods-eye-view: A Real-Time 3D Globe for AI Developers
bilawalsidhu/gods-eye-view feels like someone turned a spy satellite control room into a browser app.
It’s an open-source spatial intelligence simulator built around a photorealistic 3D globe, with live data layered across geography, infrastructure, events, and movement. The interesting part is not just the visualization—it’s the possibility of using AI to query, summarize, and explain what is happening across the map.
That combination explains the sudden traction: +3,829 GitHub stars today. Developers are getting a compelling demo, useful geospatial context, and an excellent base for experimenting with agentic interfaces.
Quick AI gateway test
For a standard OpenAI-compatible client, I’d route requests through B-Lost Universal Relay:
{
"baseURL": "https://b-lost.com/v1",
"apiKey": "${B_LOST_API_KEY}",
"model": "claude-fable-5"
}
The same setup works conceptually in Cursor, Cline/Roo Code, Windsurf, Aider, LibreChat, or any client that supports a custom OpenAI-compatible base URL.
A simple architecture could look like this:
God's Eye View UI
|
v
Spatial data + event context
|
v
AI summarizer / analyst
|
v
B-Lost Relay: https://b-lost.com/v1
|
v
claude-fable-5
For Anthropic-native integrations, B-Lost also supports /v1/messages, which is useful when the application sends large, repeated system prompts describing schemas, map layers, or analysis rules. Prompt caching can reduce cache-hit costs by 90%, while the relay’s listed pricing is 20% below official rates.
The practical experiment I’d run first: select a region, collect its visible events and metadata, then ask the model for a concise timeline, anomaly summary, and confidence notes. That turns the globe from a visual showcase into an interactive research interface.
Just remember: “live” data still needs source validation, timestamp checks, and careful interpretation before making operational decisions.
Top comments (0)