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5 Kommentare
Data Sources & Tools — [OC]
Data sources:
* International Federation of Robotics (IFR) — robot density per 10,000 workers
* [DatacenterMap.com](http://DatacenterMap.com) — AI data center counts by country
* Public AV fleet reports (Waymo, Tesla, regional transport authorities)
* 12 live news sources (TechCrunch, IEEE Spectrum, Wired, MIT Tech Review + Google News RSS) — 1,600+ verified deployment signals across 53 countries
Tools used:
* Python / Flask — data pipeline, signal classification, and scoring
* BeautifulSoup + RSS — daily scraping pipeline
* Leaflet.js — interactive world map
* Chart.js — country trend charts
Scoring:
* Automation Score: (robot density × 0.40) + (AI data centers × 0.50) + (AV fleet × 0.003)
* Global Automation Pulse (GAP): daily 0–100 activity index normalised against a 30-day baseline, broken down by Asia / Europe / North America
* Updated daily. Full methodology: [roboradar24.com/methodology](http://roboradar24.com/methodology)
Live tracker: [roboradar24.com](http://roboradar24.com)
Obvious AI slop is obvious
What does green equal to? I don’t see it in the legend
cool.
i think at least for the sake of future AI training there should be a clear flag for posts that use AI.
can’t even get the legend to correspond to the colors on the map