Zeer Gruve / intent / gruve

Gruve

201-500 employees·gruve.ai

Observed, not inferred · updated weekly

Buying intent

66 tracked signals | Top 15 topics are below | Engineering and Marketing are carrying most of it.

37signals · 30 days
44topics tracked
30.43%attributed to a team

Attention by team

LinkedIn activity, by team

Where Gruve's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Cyber Security
Career Development
Red Team
Network Automation
Operational Efficiency
Engineering
Engineering to Artificial Intelligence: no signal
Low25% of team Engineering to Cyber Security: Low, 25% of this team's signals
Medium50% of team Engineering to Career Development: Medium, 50% of this team's signals
Low25% of team Engineering to Red Team: Low, 25% of this team's signals
Engineering to Network Automation: no signal
Engineering to Operational Efficiency: no signal
Marketing
Low100% of team Marketing to Artificial Intelligence: Low, 100% of this team's signals
Marketing to Cyber Security: no signal
Marketing to Career Development: no signal
Marketing to Red Team: no signal
Marketing to Network Automation: no signal
Marketing to Operational Efficiency: no signal
Sales
Low100% of team Sales to Artificial Intelligence: Low, 100% of this team's signals
Sales to Cyber Security: no signal
Sales to Career Development: no signal
Sales to Red Team: no signal
Sales to Network Automation: no signal
Sales to Operational Efficiency: no signal
Security
Low100% of team Security to Artificial Intelligence: Low, 100% of this team's signals
Security to Cyber Security: no signal
Security to Career Development: no signal
Security to Red Team: no signal
Security to Network Automation: no signal
Security to Operational Efficiency: no signal
Others
High25% of team Others to Artificial Intelligence: High, 25% of this team's signals
High25% of team Others to Cyber Security: High, 25% of this team's signals
Medium13% of team Others to Career Development: Medium, 13% of this team's signals
Medium13% of team Others to Red Team: Medium, 13% of this team's signals
Medium13% of team Others to Network Automation: Medium, 13% of this team's signals
Medium13% of team Others to Operational Efficiency: Medium, 13% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
94%
last
11d ago
Cyber Security
LinkedIn
High volume
98%
last
13d ago
Career Development
LinkedIn
Medium volume
98%
last
19d ago
Red Team
LinkedIn
Medium volume
98%
last
17d ago
Network Automation
LinkedIn
Low volume
98%
last
23d ago
Operational Efficiency
LinkedIn
Low volume
98%
last
23d ago
Professional Development
LinkedIn
Low volume
98%
last
23d ago
Agentic AI System
LinkedIn
Low volume
91%
last
11d ago
Threat Detection
LinkedIn
Low volume
98%
last
22d ago
AI Agent Software
LinkedIn
Low volume
85%
last
11d ago
Blue Team
LinkedIn
Low volume
98%
last
22d ago
Information Security
LinkedIn
Low volume
98%
last
26d ago
Expert judgment
LinkedIn
Low volume
98%
last
26d ago
Wealth Management
LinkedIn
Low volume
98%
last
11d ago
Conference
LinkedIn
Low volume
98%
last
11d ago

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Who's active at Gruve

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others9 active
researching Network Automation
in
researching Cyber Threats
in
researching Wealth Management
in
Infrastructure Security Engineer
researching Cyber Security
in
researching Cyber Security
in
Business Development Representative
researching Cyber Security
in
Senior Team Lead
researching Digital Transformation
in
Product Manager
researching MBA Programs
in
Network Security Lead
researching Work–Life Balance
in
Engineering3 active
researching Career Development
in
software development engineer i
researching Architectural Design
in
salesforce engineer
researching Salesforce Developer
in
+ 2 more in Engineering
Sales1 active
BD & GTM
researching AI Agent Software
in
+ 1 more in Sales
Marketing1 active
SVP Enterprise Solutions & Strategic Growth
VPresearching Cold Calling
in
+ 1 more in Marketing
Security1 active
Security Analyst I
researching Domain Expertise
in
+ 1 more in Security

See everyone, not just the first 10

15 people across every department at Gruve, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Gruve Inc. is a technology company specializing in website traffic analysis and optimization. They utilize cookies to enhance user experience and aggregate data for insights and improvements.

New capability sought

Employee posts (LinkedIn)

Agentic AI System; Blue Team; Professional Development; Threat Detection

Top accounts researching Gruve

names withheld on the public page

These are companies whose own people brought up Gruve unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

151,426 companies · 839,012 people are researching Artificial Intelligence

Gruve's own team shows 7 signals on this topic. No one outside Gruve has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Cyber Security13,881 cos · 59,676 people
  • Career Development71,482 cos · 516,730 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet 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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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 3 people; Security — 3 people; Sales — 1 person; Product — 1 person; Marketing — 1 person

What's been said

public posts by Gruve's team

No public post naming Gruve has surfaced in the past year, so this is what Gruve's own team is posting about publicly — their topics, in their words.

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). Department attribution is 30.43%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries