Zeer MacPaw πŸ‡ΊπŸ‡¦ / intent / macpaw

MacPaw πŸ‡ΊπŸ‡¦

201-500 employees·Cambridge, Massachusetts, United States·macpaw.com

Observed, not inferred · updated weekly

Buying intent

22 tracked signals | Top 15 topics are below | Marketing is carrying most of it.

21signals · 30 days
16topics tracked
25%attributed to a team

Attention by team

LinkedIn activity, by team

Where MacPaw πŸ‡ΊπŸ‡¦'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
Google Calendar
Conference
MBA Programs
Fine-Tuning
Developer Experience
Marketing
Medium67% of team Marketing to Artificial Intelligence: Medium, 67% of this team's signals
Marketing to Google Calendar: no signal
Low33% of team Marketing to Conference: Low, 33% of this team's signals
Marketing to MBA Programs: no signal
Marketing to Fine-Tuning: no signal
Marketing to Developer Experience: no signal
Others
High56% of team Others to Artificial Intelligence: High, 56% of this team's signals
Low11% of team Others to Google Calendar: Low, 11% of this team's signals
Others to Conference: no signal
Low11% of team Others to MBA Programs: Low, 11% of this team's signals
Low11% of team Others to Fine-Tuning: Low, 11% of this team's signals
Low11% of team Others to Developer Experience: Low, 11% 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
6d ago
Google Calendar
LinkedIn
Low volume
98%
last
19d ago
Conference
LinkedIn
Low volume
98%
last
19d ago
MBA Programs
LinkedIn
Low volume
98%
last
14d ago
Fine-Tuning
LinkedIn
Low volume
98%
last
6d ago
Developer Experience
LinkedIn
Low volume
98%
last
6d ago
Executive Education
LinkedIn
Low volume
98%
last
14d ago
Generative AI
LinkedIn
Low volume
98%
last
10d ago
Digital Marketing
LinkedIn
Low volume
96%
last
4d ago
Performance Marketing
LinkedIn
Low volume
98%
last
17d ago
Project Tracking
LinkedIn
Low volume
96%
last
19d ago
Growth Marketing
LinkedIn
Low volume
94%
last
10d ago
App Development
LinkedIn
Low volume
98%
last
19d ago
Brand Campaign
LinkedIn
Low volume
98%
last
17d ago
Mac OS X
LinkedIn
Low volume
92%
last
12d ago

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Who's active at MacPaw πŸ‡ΊπŸ‡¦

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.

Others7 active
Executiveresearching Artificial Intelligence
in
Junior Brand Marketing Specialist
researching Google Calendar
in
researching Artificial Intelligence
in
Senior Social Media Specialist
researching MBA Programs
in
researching Artificial Intelligence
in
Executiveresearching Artificial Intelligence
in
Directorresearching Artificial Intelligence
in
Marketing3 active
Senior ICresearching Performance Marketing
in
Senior ICresearching Artificial Intelligence
in
Senior ICresearching Generative AI
in
Engineering1 active
Junior Software Engineer (Cocoa)
researching Mac OS X
in
+ 1 more in Engineering

See everyone, not just the first 10

11 people across every department at MacPaw πŸ‡ΊπŸ‡¦, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

We help 30 million MacOS/iOS users empower themselves with technology. Humans behind CleanMyMac and Setapp 🐱 Explore our products at http://macpaw.com

Top accounts researching MacPaw πŸ‡ΊπŸ‡¦

names withheld on the public page

These are companies whose own people brought up MacPaw πŸ‡ΊπŸ‡¦ 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.

129,094 companies · 649,540 people are researching Artificial Intelligence

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

  • Google Calendar232 cos · 741 people
  • Conference20,100 cos · 61,924 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 MacPaw πŸ‡ΊπŸ‡¦.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Marketing β€” 4 people; Engineering β€” 1 person; Sales β€” 1 person

What's been said

public posts mentioning MacPaw πŸ‡ΊπŸ‡¦

Up to 9 public excerpts naming MacPaw πŸ‡ΊπŸ‡¦ from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedInArtificial Intelligence

AI pipelines shouldn't take weeks to build. They should take minutes. Most AI feature code today is a tangled mix: business logic, retry loops, model routing, parallel scheduling - all jammed into the same file. Every new feature re-solves the same infrastructure problems. Every runtime improvement means rewriting product code. At MacPaw πŸ‡ΊπŸ‡¦ we think that's the wrong shape. Three principles we're building around: - Pipelines should be built in seconds, not weeks. - Business logic and execution belong in separate layers β€” developers write intent, the runtime handles scheduling and model selection. - The future of AI is local. Better privacy, predictable costs, no vendor lock-in. This is our vision of how AI agents should be built in the nearest future, and it's becoming real. We're building ELIX, a complete standalone framework that implements all of it: a SwiftUI-inspired DSL for authoring, an execution engine that handles parallel batching and incremental re-execution, with the same pipeline code running on macOS, iOS, and cloud. Maksym Kotliar just published the first deep technical note on the architecture β€” the DSL contract, the compiler/executor split, epoch-based re-execution, and the local-first thesis. https://lnkd.in/dAPUUjPn More coming as we keep building.

May 2026
LinkedIn

Last year at #WWDC , a chill conversation jump-started my career. I was there as a Swift Student Challenge winner β€” starstruck, slightly overwhelmed, fully expecting someone to tap me on the shoulder and tell me my badge was a mistake. Then I bumped into some folks from MacPaw πŸ‡ΊπŸ‡¦ . We just talked. About projects, about Mac development, about my story and what they were working on. It didn't feel like networking. A few months later it turned into an interview. The interview turned into a job. Now I'm a Junior macOS Software Engineer at MacPaw πŸ‡ΊπŸ‡¦ , and through the Apple developer lottery, I get to walk back into Apple Park for #WWDC2026 . Different door in, same disbelief. Which is exactly why I'm biased about what we're doing this year. The real value of WWDC isn't the keynote β€” it's the people around it. So MacPaw πŸ‡ΊπŸ‡¦ is making sure those conversations actually happen: 🏠 Flip the Script β€” June 7–8 | AGI House, Hillsborough, CA Two days on building, distributing, and monetizing AI apps. A panel on AI-first product decisions, a live demo on shipping AI apps without torching your margin. πŸ•ΈοΈ MacPaw Discord Watch Party β€” June 8, 10 AM PT Live keynote reactions, community discussion, MacBook giveaway. For everyone watching from anywhere else. If you're around for WWDC week, come hang. You never know which conversation is the one. Who else is going to be there? πŸ‘‡ Link's in the comments. #WWDC2026 #MacPaw #macOS #WWDC #Apple #Swift

May 2026

About this data. MacPaw πŸ‡ΊπŸ‡¦ (macpaw.com). Department attribution is 25%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries