Zeer Gruve / intent / gruve
Observed, not inferred · updated weekly

Gruve buying intent

19 tracked signals — top 9 topics below — Engineering is carrying most of it.

19signals · 30 days
9topics tracked
18.75%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

Every tracked signal from a Gruve employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.

Artificial Intelligence
Employee Experience
Employee Recognition
Peer Recognition
Machine Learning
Digital Twin
Engineering
00% Engineering to Artificial Intelligence: 0 signals, 0% of this team's attention
133% Engineering to Employee Experience: 1 signals, 33% of this team's attention
133% Engineering to Employee Recognition: 1 signals, 33% of this team's attention
133% Engineering to Peer Recognition: 1 signals, 33% of this team's attention
00% Engineering to Machine Learning: 0 signals, 0% of this team's attention
00% Engineering to Digital Twin: 0 signals, 0% of this team's attention
Unclassified no dept on file
431% Unclassified to Artificial Intelligence: 4 signals, 31% of this team's attention
215% Unclassified to Employee Experience: 2 signals, 15% of this team's attention
215% Unclassified to Employee Recognition: 2 signals, 15% of this team's attention
215% Unclassified to Peer Recognition: 2 signals, 15% of this team's attention
215% Unclassified to Machine Learning: 2 signals, 15% of this team's attention
18% Unclassified to Digital Twin: 1 signals, 8% of this team's attention
LowHigh

Topics being researched

30-day window

All tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.

Artificial Intelligence
LinkedIn
High volume
94%
last
12d ago
Employee Experience
LinkedIn
High volume
54%
last
23d ago
Employee Recognition
LinkedIn
High volume
81%
last
23d ago
Peer Recognition
LinkedIn
High volume
63%
last
23d ago
Machine Learning
LinkedIn
Medium volume
98%
last
4d ago
Digital Twin
LinkedIn
Low volume
98%
last
13d ago
Agentic AI System
LinkedIn
Low volume
98%
last
15d ago
Business Model
LinkedIn
Low volume
98%
last
23d ago
AI ROI
LinkedIn
Low volume
92%
last
12d ago

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Who to contact at Gruve

verified title on file

People at Gruve whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.

Unclassified1 active
Global Principal AI Solutions Architech
directorresearching Machine Learning
in
Director of Services
directorresearching Peer Recognition
in
Project Manager
researching Peer Recognition
in
chief technology officer
researching Artificial Intelligence
in
Global AI Advisor
researching Business Model
in
Product Manager
researching Artificial Intelligence
in
Engineering1 active
network security engineer
researching Employee Recognition
in

Top accounts researching Gruve

names withheld on the public page

Companies whose people mention Gruve in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.

Not yet available

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 · seniority

How big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Gruve.

Company size breakdown
Buyer seniority mix
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Not yet available

No buyer signal yet for this account

Not enough real data was found to build a company-size or seniority breakdown for this account.

What's been said

public posts mentioning Gruve

Real public activity that surfaced Gruve in a tracked topic. Not a sentiment score — just what people actually wrote.

LinkedInArtificial Intelligence

If you don’t live in the Bay Area, the mood here is hard to parse from outside. San Francisco isn’t experiencing a tech boom. It’s experiencing two structurally incompatible economies occupying the same zip code and the friction between them has become the defining story of 2026. The two economies: In one, roughly 10,000 people across OpenAI, Anthropic, xAI, Nvidia, select Meta teams, and frontier AI founders have crossed into generational wealth with $20M+ liquid in many cases in under five years. OpenAI’s October 2025 tender alone moved $6.6 billion in employee equity, with 75 individuals cashing out the $30 million cap. Anthropic is finalizing its own tender at a $350 billion valuation. Greg Brockman’s stake was disclosed in May court testimony at roughly $30 billion. One person. In the other, Q1 2026 saw 52,000–80,000 tech layoffs depending on the count. The Level 5–7 middle-management tier is being structurally eliminated. 17 of 28 companies announcing AI-related layoffs saw their stock rise the day they announced. The market is now rewarding headcount destruction. Yes ! Why this cycle is different: Every prior tech wave that I remember form dot-com, social, mobile, cloud scaled outcomes with proximity to opportunity. Show up, work hard, accumulate enough tenure and equity to compound into something meaningful. That model is broken. The Bay Area now runs on a winner-take-most distribution that has decoupled from labor itself. Frontier-lab researchers are pulling investment-banking-partner comp. The engineer one mile away who shipped a ChatGPT side project is not. Both are “tech workers.” The corporate ladder isn’t slow anymore. It’s the wrong building. The human consequences are severe The therapists are full. One Menlo Park practitioner reports 80% of her patients work on or with AI. A San Francisco psychotherapist puts the figure at 40%. The pattern they describe isn’t burnout but existential dissonance. Even multimillion-dollar signing bonuses aren’t buying happiness; the talent-war jockeying creates its own anxiety. Young engineers are using the phrase “permanent underclass”. Post-economic founders refuse to sell because the social capital matters more than the financial capital “if I sell, I’ll only have money.” Middle managers with families are paralyzed: no AI skills, no network for founding, and they can see the writing on the wall. The luxury housing market is up 13% while the affordable tier collapses in the same city. The Bay is the first geography to live inside the labor-market consequences of what AI-driven productivity actually means at scale. The pattern is heading everywhere from financial centers, professional services firms, regulated industries, government bureaucracies. The Bay is the leading indicator What you’re seeing is the dissonance of two incompatible reward structures occupying the same physical space and the working assumption that hard work, tenure, and intelligence still produce proportional outcomes.

May 2026

About this data. Gruve (gruve.ai). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 18.75%; the remainder is shown honestly as its own Unclassified row rather than hidden. Updated 2026-08-24T04:00:02.375Z.

Not yet computedPer-team narrative summaries