Trend Seeker turns recurring demand from Reddit, job ads, podcasts, Google Trends, and product launches into business ideas you can inspect. Each idea shows the problem, source signals, demand trend, competition, opportunity score, and how the cluster changed over time. Browse 7.4K ideas built from 140K+ signals, explore the Demand Map, or validate your own idea against matching user requests. Free to explore, with Pro for full access.
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?
Market intelligence becomes much more valuable when it changes decisions instead of just generating more data.
Curious—what's the most common decision founders end up changing after using Trend Seeker?
Tõnis, the line I keep coming back to is your own admission that it cannot prove someone will pay, because that gap is exactly where I have been burned.
I ran 50 customer interviews for my company, and the loudest problem was not the one people paid to solve. In healthcare, everyone complained about clinical notes, but the money was in getting reimbursed by insurance. A tool ranking by signal volume would have pointed me at the wrong wedge.
So the evidence I trust is not how much people complain, it is whether money is already moving badly: people hiring, stacking tools, paying for workarounds. Does Trend Seeker surface any of that, or is it demand and discussion only?
About Trend Seeker on Product Hunt
“Market research and idea validation from 140K+ signals”
Trend Seeker launched on Product Hunt on July 23rd, 2026 and earned 88 upvotes and 5 comments, placing #21 on the daily leaderboard. Trend Seeker turns recurring demand from Reddit, job ads, podcasts, Google Trends, and product launches into business ideas you can inspect. Each idea shows the problem, source signals, demand trend, competition, opportunity score, and how the cluster changed over time. Browse 7.4K ideas built from 140K+ signals, explore the Demand Map, or validate your own idea against matching user requests. Free to explore, with Pro for full access.
Trend Seeker was featured in Artificial Intelligence (474.3k followers), Data & Analytics (5.7k followers), Business Intelligence (3.7k followers) and OpenAI Day (9 followers) on Product Hunt. Together, these topics include over 114.7k products, making this a competitive space to launch in.
Who hunted Trend Seeker?
Trend Seeker was hunted by Tõnis Tiganik. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Trend Seeker stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tõnis Tiganik