Zeer Prophecy / intent / prophecy

Prophecy

51-200 employees·San Diego, California, United States·prophecy.io

Observed, not inferred · updated weekly

Buying intent

33 tracked signals | Top 15 topics are below | Sales and Engineering are carrying most of it.

27signals · 30 days
21topics tracked
43.75%attributed to a team

Attention by team

LinkedIn activity, by team

Where Prophecy'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
Data Engineering
Go to Market
Hiring
Quality Engineering
Security Operations
Sales
High67% of team Sales to Artificial Intelligence: High, 67% of this team's signals
Medium33% of team Sales to Data Engineering: Medium, 33% of this team's signals
Sales to Go to Market: no signal
Sales to Hiring: no signal
Sales to Quality Engineering: no signal
Sales to Security Operations: no signal
Engineering
Medium50% of team Engineering to Artificial Intelligence: Medium, 50% of this team's signals
Medium50% of team Engineering to Data Engineering: Medium, 50% of this team's signals
Engineering to Go to Market: no signal
Engineering to Hiring: no signal
Engineering to Quality Engineering: no signal
Engineering to Security Operations: no signal
Finance
Finance to Artificial Intelligence: no signal
Finance to Data Engineering: no signal
Medium50% of team Finance to Go to Market: Medium, 50% of this team's signals
Medium50% of team Finance to Hiring: Medium, 50% of this team's signals
Finance to Quality Engineering: no signal
Finance to Security Operations: no signal
Others
Medium11% of team Others to Artificial Intelligence: Medium, 11% of this team's signals
High22% of team Others to Data Engineering: High, 22% of this team's signals
Medium11% of team Others to Go to Market: Medium, 11% of this team's signals
Medium11% of team Others to Hiring: Medium, 11% of this team's signals
High22% of team Others to Quality Engineering: High, 22% of this team's signals
High22% of team Others to Security Operations: High, 22% 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
96%
last
9d ago
Data Engineering
LinkedIn
High volume
97%
last
9d ago
Go to Market
LinkedIn
Medium volume
91%
last
24d ago
Hiring
LinkedIn
Medium volume
88%
last
26d ago
Quality Engineering
LinkedIn
Medium volume
98%
last
20d ago
Security Operations
LinkedIn
Medium volume
98%
last
20d ago
Software Quality
LinkedIn
Medium volume
96%
last
20d ago
Data Preparation
LinkedIn
Medium volume
96%
last
20d ago
Software Development
LinkedIn
Low volume
96%
last
27d ago
Cold Outreach
LinkedIn
Low volume
98%
last
27d ago
Big Data
LinkedIn
Low volume
96%
last
24d ago
Sales Manager
LinkedIn
Low volume
98%
last
26d ago
Azure Databricks
LinkedIn
Low volume
92%
last
12d ago
Career Development
LinkedIn
Low volume
98%
last
27d ago
Startups
LinkedIn
Low volume
98%
last
19d ago

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Who's active at Prophecy

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.

Others4 active
researching Data Engineering
in
Associate SDET
researching Data Engineering
in
researching Go to Market
in
Engineering2 active
researching Cold Outreach
in
researching Data Engineering
in
Sales2 active
researching Artificial Intelligence
in
researching Artificial Intelligence
in
Finance1 active
Senior ICresearching Accounting Software
in

Primary products / business lines

LinkedIn company profile

Prophecy is the AI data preparation and analysis platform. We make business data teams incredibly productive with AI agents built on specialized Claude Code. Prophecy accelerates insights from raw data with AI-generated data workflows that all business users can inspect, refine, validate, and trust. Data analysts and business teams can move faster, automate repetitive tasks, and push trusted work

New capability sought

Employee posts (LinkedIn)

Quality Engineering; Security Operations; Software Quality

Top accounts researching Prophecy

names withheld on the public page

These are companies whose own people brought up Prophecy 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

Prophecy's own team shows 4 signals on this topic. No one outside Prophecy has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Data Engineering8,962 cos · 40,705 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.

Unlock the buyer profile

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

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; Customer Success — 2 people; Finance — 1 person; Sales — 1 person

What's been said

public posts by Prophecy's team

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

LinkedIn

The first time leadership changes direction, people assume the organization learned something. The second time, they give leadership the benefit of the doubt. By the fifth, they're no longer evaluating the strategy itself. They're asking whether leadership will still believe in it six months from now. Full piece below. 👇 #Leadership #LeadershipDevelopment #OrganizationalCulture

Jul 2026
LinkedIn

One of the biggest misconceptions about leadership is that great leaders make all the important decisions. They don't. They create an environment where other people can make good decisions on their own. That happens through clarity, trust, clear ownership, and shared context. The goal isn't to become the person every decision depends on. It's to build a team that doesn't. #Leadership #ExecutivePresence #LeadershipDevelopment

Jul 2026
LinkedIn

People don't usually stop making decisions because they become less capable. They stop because they lose confidence that they're allowed to. I've worked with teams that handled enormous uncertainty without missing a beat. What slowed them down wasn't uncertainty. It was ambiguity. Over time, ambiguity teaches people to stop asking, "What's the best decision?" and start asking, "What's the safest decision?" I'd rather coach judgment than hesitation. 👇 Full piece below

Jul 2026
LinkedIn

Every workaround solves a problem. At least for a while. The challenge is that workarounds have a way of becoming permanent. Before long, nobody remembers why the extra step exists. They just know it's how the work gets done. Over time, those workarounds become the process. Sometimes the biggest operational improvement isn't building something new. It's asking whether the workaround still deserves to exist. #Leadership #ContinuousImprovement #Operations

Jul 2026
LinkedIn

Every organization has people everyone depends on. That's not the problem. The problem starts when the organization quietly becomes overly dependent on them. Heroics solve problems. They keep customers happy, resolve difficult issues, and make the impossible look routine. They also make it easier to ignore the systems that require them. Heroes deserve recognition. They also deserve better systems. 👇 Full piece below

Jul 2026
LinkedIn

Pay attention to the people everyone goes to when things get difficult. Not the people with the biggest titles or the people who speak the most. The people whose name comes up when someone says, "We should get them involved." Over time, I've found those individuals tend to have a few things in common: • They create clarity • They follow through • They stay calm when everyone else is escalating Careers are often shaped less by what people know about you and more by what they trust you to handle. #Leadership #CareerGrowth #ExecutivePresence

Jun 2026
LinkedIn

If everything is critical... nothing is. Most organizations don't create urgency cultures intentionally. They usually emerge from good intentions. A customer needs help. A deadline gets pulled forward. An exception gets made. Over time, the exceptions accumulate. Eventually, every issue becomes a priority, every request becomes urgent, and every interruption demands immediate attention. I've watched teams work through difficult deadlines, major incidents, and temporary chaos when they understood what mattered most. What wears people down is spending months in an environment where everything is treated as equally important. 👇 Full piece below

Jun 2026
LinkedIn

I've noticed that many of the biggest operational problems don't initially look operational. They show up as: • Engineers spending too much time on escalations • Customers struggling to get answers quickly • Leaders lacking visibility into what's actually happening • Teams building workarounds because the process isn't working Viewed individually, these look like separate issues. But often, they're symptoms of the same underlying problem. That's one of the reasons support can be such a valuable lens into the health of a business. It sits close enough to the customer to see where friction is accumulating before it becomes visible everywhere else. #Leadership #CustomerExperience #SaaS

Jun 2026
LinkedIn

One thing I’ve noticed quite a bit is that organizations are remarkably good at adapting to friction. Give people enough time and they’ll build workarounds for almost anything. A spreadsheet becomes a process. A process becomes a dependency. Eventually, nobody remembers why things work that way in the first place. Behind the scenes, talented people are spending enormous amounts of energy compensating for systems instead of improving them. I’m convinced that it’s one of the biggest obstacles to scale, and one of the reasons AI is about to expose weaknesses many organizations have been carrying for years. 👇 Full piece below

Jun 2026

Leadership changes

Web / press

Announcement - Appointment of Chief Executive Officer - Prophecy International Pty Ltd; Prophecy International says ED Reynolds will assume role of acting CEO | MarketScreener

M&A / partnership appetite

Web / press

Prophecy Takes in $47M Led by Smith Point Capital; Prophecy announces it has agreed to acquire Complexica Pty Ltd Overview - Prophecy International Pty Ltd

Regulatory exposure

Web / press

The Financial Fraud at Prophecy Asset Management; SEC files charges against Prophecy Asset Management, its CEO/CIO, and largest sub-adviser in $500M fraud - FX News Group; SEC Charges Prophecy Asset Management, its CEO/CIO, and Largest Sub-Adviser in $500 Million Advisory Fraud - Securities Docket

About this data. Prophecy (prophecy.io). Department attribution is 43.75%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries