Zeer
ASAPPASAPP buying intent
10 tracked signals — top 9 topics below — Engineering and Marketing are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a ASAPP 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.
7d 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 ASAPP
verified title on filePeople at ASAPP 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 ASAPP
names withheld on the public pageCompanies whose people mention ASAPP 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 ASAPPReal public activity that surfaced ASAPP in a tracked topic. Not a sentiment score — just what people actually wrote.
Most “human-in-the-loop” AI systems aren’t actually collaborative. They’re escalation systems in disguise. After working on AI in production at ASAPP, one pattern kept showing up: Humans are treated as a backup plan — not part of the system. So we built something different. → Not escalation → Not handoffs → Not failure recovery A model where humans guide AI in real time, at the exact moments that matter. We call it HILA (Human-in-the-Loop Agent): • 3x faster resolution vs escalation • 4x lower handle time • One human → many AI conversations It’s a shift from: “AI failed, bring in a human” to “AI + human = designed collaboration” I wrote more about it at the link below. I’m also looking to contribute more to the broader AI conversation; especially open to panels, judging, publications, especially around: • AI in enterprise • Human-AI collaboration models • Operationalizing GenAI in production If you're involved in anything like this (or know someone who is), would love to connect.