Market intelligence, from what people actually say
See which products a market recommends, ranked by real traction, without naming a single competitor in advance.
Most competitive intelligence starts with a list you already have. You enter the companies you know, and the tool tracks them. That works until the thing that matters is a product you have never heard of. The same limit applies to keyword monitoring, which we set out in detail against Syften and its eighteen sources.
PulsePeek starts from the other end. Products are detected in public conversations, resolved to a real site and category, then ranked against each other. Nothing is registered in advance, so nothing is missed for lack of being named.
What gets ranked, and on what
A mention counts whether it carries a link or not. People write *just use notion* far more often than they paste a URL, and a tool that only counts links reads a fraction of the market.
- Mentions, split between links and names, so you can see which signal carries a product.
- Distinct authors, because ten mentions from one person and ten from ten people are not the same fact.
- Communities, so you know where a product is discussed and not just how often.
- Category, using a product taxonomy rather than free tags, which makes comparison possible.
Metrics are author aware by design. A founder posting in one community every day does not outrank a product that many people bring up on their own.
Reading a market you do not know
Start from a category rather than a name. The ranking shows which products hold the conversation, which are rising, and which are talked about by many people rather than by their own maker.
From any product you can open its profile: the communities where it gets recommended, its volume over time, and the posts its own makers wrote about it.
Finding competitors you cannot name
Enter your own site and the semantic search returns products whose positioning is close to yours, based on how they are described in conversation rather than on a category label.
That distinction matters. Category matching alone puts every AI tool in the same bucket, which produces confident nonsense: a developer tool proposed as the competitor of a video automation product because both are tagged the same way.
Finding them is the first half. Tracking those competitors once you know their names is the second, and it asks different questions: which communities they win in, how many different people bring them up, and what their makers actually published.
See which products your market recommends, starting from a category rather than a name.
Open the rankingWhat this does not do
- No revenue, traffic or ad spend estimates. We count what people say, not what companies earn.
- No coverage of private communities or private messages. Only public conversation is read.
- No company records. Funding, headcount and pricing are not part of what a conversation tells you.