About Trend Seeker
Market intelligence from real conversations
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 50,000+ Reddit posts and online community discussions to surface business ideas backed by real user demand. Instead of guessing what to build, you can see exactly what people are asking for, how many are asking, and whether the demand is growing.
- Browse categorized business ideas across SaaS, mobile apps, e-commerce, AI/ML, fintech, and more
- See evidence scores based on how many real users are requesting each idea
- Track demand trends over time with interactive charts
- 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 continuously monitors Reddit and other online communities for posts where users express unmet needs - "I wish there was an app that...", "Is there a tool for...", "Looking for a service that...". These signals go through several processing stages:
- Collection - We track relevant subreddits and communities where people discuss tools, products, and business needs
- Extraction - Natural language processing identifies demand signals from posts and comments
- 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]