About Trend Seeker
Market intelligence from real demand evidence
We turn live user pain and market signals into business ideas you can inspect, compare, and validate.
Scan real conversations for repeated demand signals.
Track fresh ideas and ideas gaining new evidence.
Unlock deeper source signals and full premium idea details.
The Problem
Every day, thousands of people post on Reddit asking for tools, apps, and services that don't exist yet. These requests are scattered across hundreds of subreddits, buried in comment threads, and gone within days. For entrepreneurs, this is a goldmine of validated demand - but manually tracking it is impossible.
What Trend Seeker Does
Trend Seeker analyzes 147,919 matched market signals across Reddit, job ads, podcasts, Google Trends, Apple App Store and Google Play reviews, and other public product reviews to surface business ideas backed by inspectable market evidence. Instead of guessing what to build, you can inspect the underlying evidence, how often a problem recurs, and whether interest is changing.
- Browse categorized business ideas across SaaS, mobile apps, e-commerce, AI/ML, fintech, and more
- See evidence scores based on the volume, recency, and quality of supporting signals
- Track demand trends over time with interactive charts
- Watch new evidence arrive in the Live Signals feed
- Explore related problems and opportunities in the Demand Map
- Validate your own ideas against actual market signals with the free Idea Validator
- Get weekly newsletters highlighting the strongest new signals
How It Works
Our pipeline monitors public conversations, funded work, search interest, and product reviews for unmet needs. That includes requests such as "I wish there was an app that...", recurring complaints in app reviews, and related Google Trends activity. The evidence goes through several processing stages:
- Collection - We track relevant communities, job ads, podcasts, search trends, app stores, and other public review sources
- Extraction - Natural language processing identifies specific requests, pain points, and product gaps
- Deduplication - Similar requests across different threads and communities are grouped together
- Scoring - Each idea receives an evidence score based on volume, recency, and growth rate of requests
- Categorization - Ideas are tagged by vertical (SaaS, mobile, e-commerce, etc.) and market characteristics
Who Built This
Trend Seeker is built and maintained by Tonis Tiganik, a software engineer based in Estonia. After years of building products and watching founders struggle to find ideas worth pursuing, the pattern became clear: the best business ideas come from listening to what real people are already asking for.
The technical stack includes a Rust backend for high-throughput data processing, a React frontend with server-side rendering, and custom NLP pipelines for signal extraction. The system processes tens of thousands of posts weekly to keep the idea database fresh and the evidence scores current.
Contact
Questions, feedback, or partnership inquiries? Reach out at [email protected]