Signal Radar
Divergences, tensions, weak signals and outliers across data sources · Where the story gets interesting
What is the Radar?
The Radar crosses signals of adoption, scientific output, labor market, capital, security and infrastructure to find unusual misalignments. When job postings, papers, technical communities, investments or countries tell different stories, story leads, risks and regime changes emerge that are not yet obvious.
Current cycle: 0 approved hypotheses, 0 priority filters and 5 context groups.
What is worth watching today
Recent moves worth editorial monitoring before becoming a structural thesis.
No new useful signal passed today’s criteria.
Today no move reached the minimum bar of novelty, robustness or recurrence to become a public signal. They remain under internal monitoring.
885 relations evaluated today · 0 without recent enough data · 0 looked like a collection coincidence, not a real signal
Relevant analysis now
US Tech Jobs: 19.1% of Global Postings, Largest Single Market
The US accounts for 19.1% of all monitored global tech job postings — a dominance unmatched by any other single country.
Computer Vision: 16,427 Papers vs 272 Dedicated Jobs
The lab-to-market gap in CV remains extreme, with only 1 job for every 70 papers — the highest divergence in AI specializations.
12.2K NVD CVEs in 30 days: 56% high or critical
12.2K vulnerabilities published in last 30 days: 1729 CRITICAL, 5171 HIGH, 3743 MEDIUM.
Istanbul Stock Exchange (BIST 100) leads the global index sample in 2026: +27.1% YTD
20 sane-filtered indices tracked.
Monitored consumer electronics demand contracting: -28.3% YoY
Monitored imports of consumer electronics, semiconductors and telecom: US$ 967.0B in 2025.
Monitored hypotheses (0, no update this cycle)
Measured relationships across collectors, with counter-signal, limitation and next metric to watch.
Grouped individual metrics — input for hypotheses, not standalone insight.
Guides for tracking technology, AI and security
Methodological Note
Signal classification combines structured metrics, evidence recency, declared evidence and an explicit counter-signal, with deterministic admission — never keyword-based. Statistical relations still under validation remain as observation and do not become primary intelligence merely to fill space.