Trend Seeker

Market research and idea validation from 140K+ signals

Artificial Intelligence

Data & Analytics

Business Intelligence

OpenAI Day

Hey Product Hunt — I’m Tonis, the founder behind Trend Seeker. Building software is easier than ever. Knowing what to build is still hard. I didn't have one specific product idea I wanted to build. I started by looking at how people express problems and interest across different channels — Reddit threads, podcasts, job posts, Google searches, and product launches. Each source showed part of the picture, but none was reliable on its own. That became Trend Seeker. It collects those signals, groups related evidence into business ideas, and keeps every idea linked to its sources. One thing I learned while using it is that signal quality matters more than raw volume. I've put a lot of work into filtering for useful sources — relevant podcasts and Reddit comments with meaningful upvotes or discussion. Each idea also includes related Google Trends queries and similar products found across launch directories. The picture gets much clearer when the sources agree. For example, if searches for AI SEO audits are rising and people are discussing the problem on podcasts and Reddit, there may be a market worth investigating. If 100 similar products have already launched, that is useful evidence too — it means I should study the competition or find a narrower angle before building. Looking at any one of these signals in isolation can hide an important detail. A search trend can be curiosity rather than buying intent. A popular thread can be a one-off. Strong demand can still point to a saturated market. Trend Seeker currently groups 140K+ signals into 7.4K business ideas. The Demand Map shows where related signals concentrate. The free Idea Validator matches your own description against the signal and market database, then returns related requests and nearby ideas. It can't prove that someone will pay. The goal is to reduce the chance of spending months in an empty or saturated market, and to give customer interviews, landing-page tests, and pre-sales a better starting point. I'd value blunt feedback: what evidence would make you investigate an idea further, and what would make you reject it?