Proprietary high-frequency tracking: Real-time narrative tracking
Mass-scale: 50000+ contrib tracked: Velocity tracking advanced
Multi-platform sentiment analysis: 17 connecting 30+ yearly discussions
Real-time narrative tracking: Processes 250+ drives annual 4,500+ narrative
Developer pain point detection: Tracks 15000+ developer questions and solutions
Production deployment intelligence: Docker Hub tracks container adoption patterns
Extension marketplace monitoring: VSCode, IDE plugin, framework adoption tracking
Research influence tracking: arXiv citations, Google Scholar, influential trends
Educational demand signals: YouTube tutorials, Medium articles, podcast mentions
Patent and funding attribution: Patent filings, early-stage startup mentions
Advanced uncertainty quantification: Bayesian confidence intervals for all trend forecasts
Custom significance testing algorithms: Multi-mode detection approach with adaptive thresholds
Proprietary seasonality filtering: Removes temporal noise from growth signals
Multi-source correlation synthesis: Combines 17+ adoption proxies into modeling
Advanced outlier identification: Automated flagging with chart analysis techniques
* Early Stage: We're building AI tool signals. Stack Overflow, Hacker News, GitHub issues, NPM package launching, PyPI repos.