Zeer Sybill / intent / sybill

Sybill

51-200 employees·Mountain View, California, United States·sybill.ai

Observed, not inferred · updated weekly

Buying intent

235 tracked signals | Top 15 topics are below | Sales and Marketing are carrying most of it.

144signals · 30 days
99topics tracked
89.66%attributed to a team

Attention by team

LinkedIn activity, by team

Where Sybill'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
Customer Relationship Management (CRM)
Go to Market
Hiring
Revenue Operations
Agentic AI System
Sales
High46% of team Sales to Artificial Intelligence: High, 46% of this team's signals
Low13% of team Sales to Customer Relationship Management (CRM): Low, 13% of this team's signals
Low15% of team Sales to Go to Market: Low, 15% of this team's signals
Low12% of team Sales to Hiring: Low, 12% of this team's signals
Low8% of team Sales to Revenue Operations: Low, 8% of this team's signals
Low6% of team Sales to Agentic AI System: Low, 6% of this team's signals
Marketing
High54% of team Marketing to Artificial Intelligence: High, 54% of this team's signals
Low17% of team Marketing to Customer Relationship Management (CRM): Low, 17% of this team's signals
Low15% of team Marketing to Go to Market: Low, 15% of this team's signals
Low7% of team Marketing to Hiring: Low, 7% of this team's signals
Low4% of team Marketing to Revenue Operations: Low, 4% of this team's signals
Low2% of team Marketing to Agentic AI System: Low, 2% of this team's signals
Engineering
Low67% of team Engineering to Artificial Intelligence: Low, 67% of this team's signals
Engineering to Customer Relationship Management (CRM): no signal
Engineering to Go to Market: no signal
Engineering to Hiring: no signal
Engineering to Revenue Operations: no signal
Low33% of team Engineering to Agentic AI System: Low, 33% of this team's signals
Product
Low33% of team Product to Artificial Intelligence: Low, 33% of this team's signals
Product to Customer Relationship Management (CRM): no signal
Low67% of team Product to Go to Market: Low, 67% of this team's signals
Product to Hiring: no signal
Product to Revenue Operations: no signal
Product to Agentic AI System: no signal
Others
Low58% of team Others to Artificial Intelligence: Low, 58% of this team's signals
Low25% of team Others to Customer Relationship Management (CRM): Low, 25% of this team's signals
Others to Go to Market: no signal
Low17% of team Others to Hiring: Low, 17% of this team's signals
Others to Revenue Operations: no signal
Others to Agentic AI System: no signal
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
96%
last
9d ago
Customer Relationship Management (CRM)
LinkedIn
Low volume
98%
last
9d ago
Go to Market
LinkedIn
Low volume
95%
last
9d ago
Hiring
LinkedIn
Low volume
94%
last
16d ago
Revenue Operations
LinkedIn
Low volume
98%
last
10d ago
Agentic AI System
LinkedIn
Low volume
98%
last
10d ago
Venture Capital (VC)
LinkedIn
Low volume
97%
last
11d ago
AI Agent Software
LinkedIn
Low volume
93%
last
10d ago
Product Marketing
LinkedIn
Low volume
98%
last
9d ago
Marketing Operations
LinkedIn
Low volume
98%
last
18d ago
Follow-Up
LinkedIn
Low volume
91%
last
11d ago
Social Proof
LinkedIn
Low volume
98%
last
24d ago
Founder
LinkedIn
Low volume
92%
last
9d ago
Demand Generation
LinkedIn
Low volume
98%
last
12d ago
Generative AI
LinkedIn
Low volume
98%
last
10d ago

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Who's active at Sybill

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.

Others3 active
researching Artificial Intelligence
in
Directorresearching Mental Health
in
researching Artificial Intelligence
in
Sales2 active
Executiveresearching Artificial Intelligence
in
Directorresearching Social Listening
in
Marketing2 active
researching Artificial Intelligence
in
Senior ICresearching Artificial Intelligence
in
Engineering1 active
Senior ICresearching Artificial Intelligence
in
Product1 active
Senior ICresearching Go to Market
in

Primary products / business lines

LinkedIn company profile

Sybill builds a living memory of how your team wins deals, then helps every rep, agent, and workflow execute everything from account strategy to follow-ups based on what actually closes. Most revenue stacks are full of data but starved of context. Transcripts sit disconnected from CRM fields. Emails don't talk to deals. And nothing learns. Sybill fixes the missing layer: connecting context acr

New capability sought

Employee posts (LinkedIn)

Agentic AI System; Revenue Operations; Venture Capital (VC); AI Notetaker; Account-Based Marketing; Follow-Up; Founder; Generative AI

Top accounts researching Sybill

names withheld on the public page

These are companies whose own people brought up Sybill 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

Sybill's own team shows 59 signals on this topic. No one outside Sybill has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Customer Relationship Management (CRM)16,028 cos · 53,889 people
  • Go to Market11,618 cos · 33,090 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 Sybill.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Marketing — 2 people; Leadership — 2 people; Sales — 1 person; Product — 1 person; Engineering — 1 person

What's been said

public posts mentioning Sybill

Up to 9 public excerpts naming Sybill from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedInProduct Marketing

A year ago, I was an intern at Sybill. Then a co-op. Then full-time. Now I'm a product lead at a Series A startup. Last week during our Product <> Marketing sync Collin and Sarah said some words that I'll probably re-visit everytime I'm having a bad day. Somewhere in there, Duke University also handed me my masters degree which is a thing I'm genuinely proud of. Two journeys, one year, both worth marking. 🎓 Here's what nobody tells you about joining early: ambiguity isn't a bug, it's the whole job. Most days, no one knows the right answer. There's no playbook for the product analytics stack we needed, or the growth motion we were trying to figure out, or the 5–6 features we have be shipping a month. You build hypothesis. You make the call. You watch what happens and decide if it was worth the calories. You make the next one. That's it. That's the job. The shortcut, if there is one: nail the fundamentals: your metric, your customer, your reason and then place a lot of small bets. Don't wait for the big swing. Most weeks won't have one. But a year of small bets compounds in ways that look like luck from the outside and feel like physics from the inside. Thank you Mehak and the entire Sybill team for an awesome year. Year two, here we go.

May 2026
LinkedIn

Nishit Asnani (Hiring Founding AEs) always posts about Ask Sybill prompts he’s using to get better deal visibility, spot risk, coach the team, and keep a pulse on what’s actually happening across the business. Figured I'd do the same.

May 2026

About this data. Sybill (sybill.ai). Department attribution is 89.66%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries