Zeer
FindemFindem buying intent
8 tracked signals — top 6 topics below — Sales and Engineering are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a Findem employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
4d ago
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at Findem
verified title on filePeople at Findem whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching Findem
names withheld on the public pageCompanies whose people mention Findem in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning FindemReal public activity that surfaced Findem in a tracked topic. Not a sentiment score — just what people actually wrote.
Building an AI tool today is like buying a Rolex from a guy in a parking lot. The look? Immaculate. The movement? Incredible. You feel like a million bucks for about five minutes. Then the minute hand falls off and you realize the gears are made of plastic. I vibe coded a functional SaaS in a weekend for a friend because the tools are finally that good. But the gap between a demo and a reliable product is massive. Scaling reach before validating trust is how companies burn. In AI, trust isn't a feeling, it’s a stress test. If you aren't evaluating results for repeatable outcomes, you’re building a liability, not a solution. Buyers don't want more logos. They want the signal that your data is enterprise-ready. This is where you build a credibility stack, not just a distribution list. The market is moving away from the loudest voices and toward the most reliable signals. The real gold mine is not the audience size. It is the proof that the outcome is reliable when the pressure is on. What do you think building AI is today?