Launched this week
Trend Seeker
Market research and idea validation from 140K+ signals
69 followers
Market research and idea validation from 140K+ signals
69 followers
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.
Free Options
Launch Team / Built With
Trend Seeker
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?
Trend Seeker
@clemente_lopez1 While looking at Trend Seeker data I have understood that signal count by itself is not the most useful feature by any means. We added signal quality feature in order to separate quality from quantity.
Some examples:
podcast reputability/listener count. For instance, if Y combinator host says `I would pay for it`, then it is a good signal. It doesn't say that money is moving yet, but that it has potential in KOL's mind.
Reddit poster karma, and vote count create a stronger signal
Similar ideas from other founders validates the idea, but too much competition can mean over saturation
Trend Seeker also includes data from job ads. We have around 170k job ads and extract signals from what the companies are hiring for. This could be useful to create and offer a SaaS for these companies, but also consulting services.
The signal quality feature is WIP, and I plan to rollout more of it in the near future.
@tonisives Tõnis, the job ads angle is the one that lands for me, because hiring is money already moving. A company posting a role has decided the problem is worth a salary, which is a harder commitment than a Reddit complaint or a podcast quote.
The caveat from my own hunting: the role a company hires for tells you who carries the pain, not always who signs for software to remove it. When I looked at hiring data for my market, the title doing the manual work and the person with budget to automate it were rarely the same, and sometimes the tool threatens the role that was just posted.
Does the job-ads signal expose the seniority or department behind a posting, or mostly the volume of roles? That split is what tells me whether a hiring spike is a buying signal or a staffing one.
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?
Trend Seeker
@aryan787544 I think the best decision is to do market research before building. Check out the signals, google trends, and competition. This overview from multiple sources can guide you towards making the decision of pursuing the project or not.
If a founder is already building, then he could use the signals to add new features to the project. As an example, I added the mind map when I found a competitor for my product on Trend Seeker. After adding this feature and updating front page, I started getting more subscribers.
This is useful for early direction, especially because it combines signals that are usually scattered across different places.
The part I would want to stress test is the jump from “people are talking about this” to “this is a good wedge to build around.” Job ads and competing products probably help a lot there, since they show where companies are already spending money or where founders are already trying to capture demand.
Do you plan to make the opportunity score explainable enough to show why an idea ranked highly, for example which source carried the most weight and whether the score came more from demand growth, signal quality, hiring activity, or low competition? Congrats Tõnis.