Zeer Groq / intent / groq
Observed, not inferred · updated weekly

Groq buying intent

16 tracked signals — top 7 topics below — Engineering and Sales are carrying most of it.

16signals · 30 days
7topics tracked
100%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

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

Artificial Intelligence
Cloud Infrastructure
GTM Planning
Go to Market
Product Marketing
Product Strategy
Engineering
229% Engineering to Artificial Intelligence: 2 signals, 29% of this team's attention
114% Engineering to Cloud Infrastructure: 1 signals, 14% of this team's attention
114% Engineering to GTM Planning: 1 signals, 14% of this team's attention
114% Engineering to Go to Market: 1 signals, 14% of this team's attention
114% Engineering to Product Marketing: 1 signals, 14% of this team's attention
114% Engineering to Product Strategy: 1 signals, 14% of this team's attention
Sales
229% Sales to Artificial Intelligence: 2 signals, 29% of this team's attention
114% Sales to Cloud Infrastructure: 1 signals, 14% of this team's attention
114% Sales to GTM Planning: 1 signals, 14% of this team's attention
114% Sales to Go to Market: 1 signals, 14% of this team's attention
114% Sales to Product Marketing: 1 signals, 14% of this team's attention
114% Sales to Product Strategy: 1 signals, 14% 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
98%
last
10d ago
Cloud Infrastructure
LinkedIn
Medium volume
98%
last
10d ago
GTM Planning
LinkedIn
Medium volume
98%
last
10d ago
Go to Market
LinkedIn
Medium volume
98%
last
10d ago
Product Marketing
LinkedIn
Medium volume
98%
last
10d ago
Product Strategy
LinkedIn
Medium volume
98%
last
10d ago
Revenue Operations
LinkedIn
Medium volume
98%
last
10d ago

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Who to contact at Groq

verified title on file

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

Engineering2 active
Software Engineer Intern
researching Go to Market
in
sr. ai inference manager
researching Cloud Infrastructure
in
Sales2 active
GTM Intern
researching GTM Planning
in
Sales
researching Artificial Intelligence
in

Top accounts researching Groq

names withheld on the public page

Companies whose people mention Groq 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 Groq.

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 Groq

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

LinkedInArtificial Intelligence

Spent the last month in the US. Saw up close what the team that moved from Groq into Nvidia have been building. It's serious. They've compressed our roadmap from years into months. Honestly, it blew my mind. And it reminded me why our story was never just about a chip. The inference race is not the training race. Different economics. Different architecture. Different rules. What customers actually need is a system not a component, not a cloud, not a token API. A system. Global fabric. Enterprise-grade isolation. The ability to bring their own stack and run it on infrastructure built specifically for inference at scale. No one has assembled that. Yet. The market is moving toward GW scale inference. The companies that get there first with the right architecture, the right economics, and the right footprint already in the ground won't just run inference for the AI era. They'll set the terms for what it costs. More soon. A lot more.

Apr 2026
YouTubeLLM Inference Acceleration

Connecting Groq API for lightning-fast inference

DEV Community

Why Groq Feels Like Cheating - DEV Community I've been building a multi-agent LangGraph pipeline recently, and like most people stitching together free-tier LLM providers, I ended up comparing Groq against the usual suspects. The difference wasn't subtle. Other providers felt like a normal API call — you send a request, you wait, text streams back at a pace you've gotten used to. Groq felt like ch

Why Groq Feels Like Cheating - DEV Community
DEV Community

Groq — Deep Dive - DEV Community Posted on Aug 21 • Originally published at github.com # Groq — Deep Dive The narrative of the AI hardware wars has shifted dramatically in the last twelve months. Once touted as the "Nvidia Killer" with its revolutionary Language Processing Units (LPUs), Groq has undergone one of the most significant strategic pivots in Silicon Valley history. Today, we are looking

Groq — Deep Dive - DEV Community
Medium

How good is Groq?. LLM inference on groq.com would costs… | by Balazs Kocsis | Medium Sign up Member-only story # How good is Groq? 2 min read Aug 7, 2024 -- Share LLM inference on groq.com would costs about 10 times less, compared to OpenAI’s pricing for GPT-4o Press enter or click to view image in full size Source screenshot from https://www.youtube.com/watch?v=8UzW_AGX68g&t=15s Ultra fast respo

How good is Groq?. LLM inference on groq.com would costs… | by Balazs Kocsis | Medium

About this data. Groq (groq.com). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 100%; 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