The engineer turned executive built the system, called World Monitor, to make sense of chaotic geopolitical news. Instead, it went viral. [...]
The idea emerged as headlines began colliding in ways that felt impossible to follow. “The news became genuinely hard to parse,” he says. “Iran, Trump’s decisions, financial markets, critical minerals, tensions compounding from every direction simultaneously.”
Traditional media wasn’t solving the problem he had in mind. “I didn’t need a news aggregator,” he says. “I needed something that showed me how these events connect to each other in real time. The existing OSINT tools that did this cost governments and large enterprises tens of thousands of dollars annually.” [...]
The platform processes a messy stream of global data, bypassing social media noise to pull facts directly from the source.
“The system ingests 100-plus data streams simultaneously,” Habib notes. The result is a constantly updating map of global tensions: conflict zones with escalation scores, military aircraft broadcasting positions through ADS-B transponders, ship movements tracked through AIS signals, nuclear installations, submarine cables, internet outages and satellite fire detections.
“Everything is normalized, geolocated and rendered on a WebGL globe capable of displaying thousands of markers without frame drops,” Habib says...
When the War Hit
Before the missiles started flying, people used the map for very specific reasons. Traders tracked cargo ships to monitor supply chains, while engineers watched power grids and infrastructure networks. “One sports bar runs it on their TVs when there are no games,” Habib says.
But when joint US-Israeli military strikes hit Iran in late February—disrupting maritime logistics and forcing commercial airspace to clear—the platform’s role changed almost overnight.
What had been a curiosity for analysts and hobbyists became a live threat monitor. Casual observers began watching active escalations unfold in real time.
How the Map Verifies Reality
Processing hundreds of live data streams during a military conflict raises a question: How do you verify information fast enough to keep the system moving?
Habib’s answer was to remove human editors entirely. “Zero editorializing,” he says. “No human editor makes a call.”
Instead, Habib says the platform relies on a strict source hierarchy. Wire services and official channels such as Reuters, AP, the Pentagon and the UN sit at the top tier. Major broadcasters including the BBC and Al Jazeera follow, along with specialist investigative outlets such as Bellingcat. In total, he says the system processes about 190 sources, assigning higher confidence scores to more reliable ones.
Software then scans incoming reports for major events and emerging patterns. If multiple credible sources report the same development within minutes, the system flags it as a breaking alert. But headlines alone are not enough.
Because online claims can be unreliable, the platform also looks for physical signals on the ground. It tracks disruptions such as internet blackouts, diverted military flights, halted cargo ships and satellite-detected fires. “A convergence algorithm then checks how many distinct signal types activate in the same geography simultaneously,” Habib says.
“One signal is noise. Three or four converging in the same location is the signal worth surfacing,” Habib says. If an internet outage coincides with diverted aircraft and a satellite heat signature in the same area, the map flags a potential escalation.
Before the missiles started flying, people used the map for very specific reasons. Traders tracked cargo ships to monitor supply chains, while engineers watched power grids and infrastructure networks. “One sports bar runs it on their TVs when there are no games,” Habib says.
But when joint US-Israeli military strikes hit Iran in late February—disrupting maritime logistics and forcing commercial airspace to clear—the platform’s role changed almost overnight.
What had been a curiosity for analysts and hobbyists became a live threat monitor. Casual observers began watching active escalations unfold in real time.
How the Map Verifies Reality
Processing hundreds of live data streams during a military conflict raises a question: How do you verify information fast enough to keep the system moving?
Habib’s answer was to remove human editors entirely. “Zero editorializing,” he says. “No human editor makes a call.”
Instead, Habib says the platform relies on a strict source hierarchy. Wire services and official channels such as Reuters, AP, the Pentagon and the UN sit at the top tier. Major broadcasters including the BBC and Al Jazeera follow, along with specialist investigative outlets such as Bellingcat. In total, he says the system processes about 190 sources, assigning higher confidence scores to more reliable ones.
Software then scans incoming reports for major events and emerging patterns. If multiple credible sources report the same development within minutes, the system flags it as a breaking alert. But headlines alone are not enough.
Because online claims can be unreliable, the platform also looks for physical signals on the ground. It tracks disruptions such as internet blackouts, diverted military flights, halted cargo ships and satellite-detected fires. “A convergence algorithm then checks how many distinct signal types activate in the same geography simultaneously,” Habib says.
“One signal is noise. Three or four converging in the same location is the signal worth surfacing,” Habib says. If an internet outage coincides with diverted aircraft and a satellite heat signature in the same area, the map flags a potential escalation.
by Lilian Wagoy, Wired | Read more:
Image: World Monitor
[ed. Example here. Also, just as an aside (since World Monitor was created by a music streaming CEO) I'd like to highlight once again the totally awesome Radio Garden. I've been using this streaming app ever since I got it, exploring and listening to FM music stations all over the world.]
