Competitive intelligence in technology: crossed public signals
Each public data source tells only part of the story. GitHub shows attention. Hacker News shows debate. NVD shows risk. arXiv shows research. Jobs show conviction. When combined, they reveal trends before they become consensus.
What is competitive intelligence with public sources
Competitive intelligence is not industrial espionage. It is the disciplined exercise of monitoring public signals available to everyone — but that almost nobody crosses systematically. VAIA monitors 38,276 technology signals crossing GitHub, Hacker News, NVD, arXiv, job portals, patent records and conferences.
The value is not in each individual source — it is in the divergence between them. When Hacker News debates AI with below-average engagement but arXiv produces 12,354 computer vision papers, that is a signal of narrative fatigue with intense technical production. This divergence is more valuable than any individual source.
The sources VAIA crosses
Divergences that matter
HN vs TechCrunch: utility vs capital
Hacker News discusses tool fatigue, latency and inference cost. TechCrunch discusses mega-rounds and valuations. They are two conversations about the same transition — from different perspectives. Signal: strat-hn-tc-divergence (89).
HN vs StackOverflow: elite vs mass
HN reflects what the technical elite discusses. StackOverflow reflects what the mass solves day-to-day. The divergence between them is the most underrated insight. Signal: cross-hn-so-divergence (87).
Hype vs real data of emerging niches
Data from 618 emerging niches (Biotech CRISPR, Quantum, AI Vector DB) shows that the technologies with the most hype are not the ones with the most real production. Signal: cross-emerging-niches (85).
What to track
- →Divergence between attention (HN/media) and hiring (jobs) by topic — who is hiring silently?
- →Correlation between arXiv papers and GitHub repos — themes with high research and high implementation are accelerating.
- →Vulnerability signals (NVD/KEV) in technologies with high adoption (GitHub/npm) — amplified risk.
- →Emerging niches with high real production and low hype — they are opportunities before consensus.
Guides by topic