God's Eye View: A Browser-Based Spy Satellite Simulator — But the Data Is All Real
> Original project: bilawalsidhu/gods-eye-view · 1984 stars/day · JavaScript
A Goosebump Moment
You open a web page. The screen shows a 3D Earth — deep blue oceans, gray landmasses, live cloud cover. An aircraft is moving over the Atlantic. You click it and see the flight number, altitude, speed, and destination. You switch to "cockpit view," the camera dives in front of the plane, and the terrain unfolds below.
Then you realize: this isn't a game, this isn't a simulation — the data is all real.
That aircraft really is flying over the Atlantic. Its transponder is genuinely broadcasting position to the public ADS-B Exchange API. Earthquake data comes from the USGS real-time catalog. Satellite orbits come from NORAD TLE elements. Ship AIS signals come from public vessel transponder networks.
God's Eye View aggregates these public signals onto a 3D globe in your browser — something that looks like spy software but is actually entirely open-source intelligence (OSINT).
The Core Insight: The Bottleneck Isn't Data, It's Interface
The central insight behind this project is profound:
> Most open-source intelligence is a pile of browser tabs. The signals are rich, but the interface is the bottleneck.
Think about how you'd track an event today — say, an earthquake somewhere. You open USGS to see the epicenter, Flightradar24 to check for diverted flights nearby, MarineTraffic for port activity, and news sites for reports. Each data source is a separate tab, and you mentally assemble "what happened here" by switching between them.
God's Eye View puts all of those signals back where they belong — in geospatial context. Aircraft fly on the map, ships move on the ocean, earthquakes flash red at their epicenters. You don't switch between tabs, because every data point is rendered on the same 3D globe at its true geographic position.
This is an important design philosophy: data inherently has spatial properties. Pulling it out of space into tables and lists was a compromise where humans adapted to computers. Putting data back into space is making computers adapt to humans.
Data Layers: All Public Signals
Every data source is public:
- Aircraft: ADS-B transponder signals (via the ADS-B Exchange API) — live position, altitude, speed, heading
- Ships: AIS signals (vessel transponders) — position, speed, destination port
- Satellites: NORAD TLE orbital elements (via SatCat) — live positions of the ISS, Starlink, and more
- Earthquakes: USGS real-time catalog, global quakes magnitude 2.5+
- Traffic: public traffic cameras (with calibrated positions)
- Weather: public meteorological data
The Coolest Feature: Cockpit View
Click an aircraft in flight, choose "cockpit view," and the camera moves in front of the plane with terrain unfolding below. This isn't pre-rendered animation — it's generated in real time from the aircraft's position and terrain data.
There's also a "contacts" feature: it shows every tracked object within 250 km of your target. You can page through nearby aircraft and jump into any cockpit at will.
This points to something deeper: the "god's eye view" metaphor is powerful because it unifies many scattered perspectives into one coherent spatial experience. You're no longer "looking at an event through one data source" — you're "watching the whole world from space."
Voice Control: AI Agents as the Interaction Layer
God's Eye View also ships with hands-free voice control powered by a live AI agent. Speak into the microphone — "show aircraft near Tokyo" or "track this flight" — and the AI understands your intent and operates the map.
It's a great example: the AI isn't generating content; it's understanding intent and manipulating the interface. That's closer to AI's real value than "generating an image with AI" — AI as an interaction layer that lets humans operate complex systems in natural language.
Why "Looks Like Spyware" Matters
The project makes a striking design choice: it deliberately looks like a military intelligence system. GLSL shader modes for CRT, night vision, thermal, black-and-white, and snow. Military HUD-style overlays. Bounding boxes and IDs on detected contacts.
This isn't decoration. It's about making users feel the seriousness of "I'm looking at real intelligence." The same data rendered in bright Google Maps colors would feel like "a visualization toy." Rendered in a military HUD style, users understand "this is intelligence."
That's a deep design principle: an interface's aesthetic shapes how users perceive the seriousness of the data. The same information, presented differently, triggers completely different cognitive modes.
Democratizing Open-Source Intelligence
There's a bigger narrative here: OSINT is shifting from professional tools to something anyone can use.
A decade ago, tracking global aircraft required professional ADS-B receiving equipment and paid subscriptions. Now ADS-B Exchange offers a free API. Satellite orbital data has always been public (NORAD's TLEs), but it took specialized software to parse. USGS earthquake data has always been free — if you scraped it yourself.
God's Eye View drops the barrier to all of these sources to zero — just open a browser. It's the same category of thing as Wikipedia democratizing knowledge or Linux democratizing operating systems: turning capabilities once locked behind professional walls into something within everyone's reach.
Why It Gained 1,984 Stars in a Day
Several reasons the project took off:
1. Visual impact: 3D globe + live aircraft + military HUD style — a screenshot is enough to go viral on Twitter 2. The "looks illegal but is actually legal" contrast: first reaction is "is this even legal?" — then you discover it's all public data, and that contrast itself is shareable 3. A creator with 5M+ YouTube subscribers: bilawalsidhu's God's Eye View series has surpassed 5 million views on YouTube 4. High implementation quality: not a toy — production-grade code that actually runs
A Deeper Observation: Spatial Intelligence Is the New Search
God's Eye View represents a larger trend: spatial intelligence is becoming a new search paradigm.
Traditional search is "keywords → documents." Spatial intelligence is "location → all related data." Want to know what's happening in Tokyo right now? Instead of searching "Tokyo news," you locate Tokyo on a map and see nearby aircraft, ships, earthquakes, weather, and traffic cameras.
This paradigm shift means: geospatial context is no longer an attribute of data — it's how data is organized. All data with spatiotemporal properties should be queried on a map — not stuffed into tables and lists.
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Project: github.com/bilawalsidhu/gods-eye-view Author's blog: spatialintelligence.ai
One-line takeaway: God's Eye View puts public open-source intelligence back where it belongs — geographic positions on a 3D globe — using an interface that "looks like spyware" to carry data that is entirely public, framing spatial intelligence as a new search paradigm.