World Monitor is an open-source (MIT) real-time global intelligence dashboard built by koala73 (Elie Habib), often described as an open-source alternative to a Bloomberg terminal. It aggregates 100+ RSS feeds including Reuters, BBC, Al Jazeera, and ACLED conflict data, and renders 40+ data layers such as military bases, nuclear facilities, submarine cables, GPS jamming zones, and satellite fire detection on an interactive 3D map powered by deck.gl and MapLibre GL. AI features use Groq-hosted Llama 3.1 for threat classification and daily briefings, with browser-side ML via Transformers.js. It offers three editions—World (geopolitics), Tech (AI data centers, semiconductors), and Finance (prediction markets, stablecoin liquidity)—plus a Country Instability Index and market radar. Deployment is zero-config with optional API keys for AI and Upstash Redis caching.
World Monitor: Open-Source Global Intelligence Dashboard (OSINT)
Summary
World Monitor is an open-source (MIT) real-time global intelligence dashboard built by koala73 (Elie Habib), often described as an open-source alternative to a Bloomberg terminal. It aggregates 100+ RSS feeds including Reuters, BBC, Al Jazeera, and ACLED conflict data, and renders 40+ data layers such as military bases, nuclear facilities, submarine cables, GPS jamming zones, and satellite fire detection on an interactive 3D map powered by deck.gl and MapLibre GL. AI features use Groq-hosted Llama 3.1 for threat classification and daily briefings, with browser-side ML via Transformers.js. It offers three editions—World (geopolitics), Tech (AI data centers, semiconductors), and Finance (prediction markets, stablecoin liquidity)—plus a Country Instability Index and market radar. Deployment is zero-config with optional API keys for AI and Upstash Redis caching.
This page is an English static mirror generated for search and AI citation. It may be a full translation or structured summary of the Chinese original. Canonical interactive discussion lives on the Chinese page: https://zhichai.net/topic/177168715