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TrendRadar (BookRadar)

Trend Prediction & Market Intelligence

A domain-agnostic trend prediction engine that organizes signals into research hypotheses for further investigation. Starting with books (BookRadar), designed to expand into startups, stocks, products, and technologies.

Status unverifiedVisit Site

Problem addressed

Missing opportunities because trends are spotted too late by mainstream channels

Approach

Multi-source intelligence system with underground trend detection that spots suppressed truths years before mainstream adoption.

What the project is designed to do

  • NEW: Underground Trend Detection System - detects suppressed truths 2-10 years before mainstream
  • Multi-source data collection (Reddit, YouTube, GitHub, TikTok, Telegram)
  • LLM-powered analysis pipeline
  • Cross-domain intelligence expansion capability
  • Real-time monitoring dashboard
  • Trend hypotheses that need validation against later observations

This describes project scope. Customer results require their own dated evidence. For demonstrated systems, inspect the proof page.

Tech Stack

PythonLLM APIsMulti-source collectorsML prediction models

Reality OS Connection

Intelligence layer: Identifies truth velocity before institutional capture

The Story Behind It

"Realized Amazon's monopoly was just the beginning - every domain needs early trend detection to break information gatekeepers."