(Roughly) Daily

“Don’t look away. Look straight at everything. Look it all in the eye, good and bad.”*…

Frustrated by fragmented war news, Elie Habib built World Monitor, a platform that fuses global data– everything from military activity and intel hotspots to climate events and cyber threats– to track trouble as it unfolds. Lilian Wagdy reports…

Elie Habib doesn’t work in the defense or intelligence industries. Instead, he runs Anghami, one of the Middle East’s largest music streaming platforms. But as missiles began flying across the region, a side project he coded earlier this year suddenly became something bigger: an open-source dashboard people around the world were using to track the war in real time…

… 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.

The underlying architecture wasn’t built from scratch. Much of it draws on the same principles used to process massive volumes of streaming data…

… 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.

Habib acknowledges that removing humans from the loop carries risks. “The multi-tier source-credibility system and convergence algorithm [are a] substitute for editorial judgment,” he says. “Whether that creates blind spots in genuinely novel scenarios, an event with no historical baseline, is a real architectural question the system doesn’t fully resolve.”…

… Habib does not plan for the platform to become a business. “World Monitor started as a personal learning project,” he says. But the experiment quickly grew beyond that. Developers from around the world began contributing code and ideas, helping expand the system’s capabilities.

Now the project is shifting toward a broader goal. “The direction shifts from pure conflict tracking toward broader world signal understanding and acting on these signals,” Habib says.

Instead of simply mapping events after they happen, the platform is increasingly designed to detect patterns before they become headlines, Habib says. “The architecture is moving toward predicting where signals converge before events become news.”…

More at: “How a Music Streaming CEO Built an Open-Source Global Threat Map in His Spare Time,” from @lilianwagdy81.bsky.social and @wired.com. (JIC of paywall trouble, here is an archived link.)

Then, try out World Monitor yourself.

* Henry Miller

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As we pay attention, we might recall that today is the anniversary of an event that would surely have made Wolrd Monitor’s map if that tool hasd been around back then: on the this date in 2011, Tōhoku earthquake (a 9.0–9.1 undersea megathrust earthquake occurred in the Pacific Ocean, 45 mi east of the Oshika Peninsula of the Tōhoku region— the most powerful earthquake ever recorded in Japan, and the fourth most powerful earthquake recorded in the world since modern seismography began in 1900.

The quake was followed by a tsunami that killed thousands and caused the devastation of whole cities. Together, they did damage estimated to have cost well into the tens of billions of US dollars. Famously, the quake and subsequent tsunami caused the shutdown of eleven nuclear reactors in power plants in the region. The Fukushima reactors were especially heavily damaged, and leaked radioactive waste water, leading to radiation levels outside the plant that were up to eight times normal levels.

Mechanism of 2011 Tōhoku earthquake (source)

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