TrendSonar fuses search intent, social sentiment, economic stress signals, and buying behavior into a single intelligence layer. Free-first architecture. Institutional-grade insight.
Each layer captures a different dimension of consumer behavior. Combined, they reveal what's coming next.
Google Trends acceleration, rising queries, geographic concentration, and seasonality shifts. What people want before they buy.
Reddit discussions, recommendation frequency, complaint clustering, and "worth it" validation signals from real conversations.
FRED macroeconomic indicators, inflation sensitivity, substitution behavior, and financing discussions as early recession signals.
News velocity, GDELT event tracking, media cascade detection. Identify when narratives accelerate into market-moving forces.
Urgency, aspiration, dissatisfaction, replacement cycles, and purchase planning signals classified by NLP models.
Regional demand differences, local shortage detection, and geographic trend acceleration across markets.
A modular pipeline that scales from free APIs to institutional-grade infrastructure.
Google Trends, Reddit API, FRED, GDELT, YouTube, NewsAPI. Free-first, paid only when ROI justifies.
VADER + FinBERT sentiment, BERTopic clustering, spaCy entity extraction, intent classification.
Weighted signal fusion with configurable weights, confidence scoring, anomaly detection, and trend acceleration.
RESTful API endpoints, real-time dashboards, alerting, and enterprise integrations.
TrendSonar listens to the whispers. Search queries, Reddit threads, economic indicators, news momentum. By the time it's consensus, it's already priced in. We find it first.