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Patrick Collison @patrickc on X (Twitter): stats, voice and strategy

Patrick Collison (@patrickc) is an X (Twitter) creator with 1.8M followers who posts most about Internet Commerce & Financial Infrastructure. Across their last 200 posts they average a 0.58% engagement rate and 0.52 posts a day, busiest on Mondays.

Hook formulas, weaknesses and how to get their attention. Included in the free trial, then from $49 a month. See pricing

Followers
1.8M
Following
29
Posts on X
10.3K
Engagement rate
0.58%
Posts a day
0.52
Reply share
1%

Counts as of ; averages from @patrickc's last 200 posts. Engagement rate is likes, reposts and replies divided by views, averaged per post. View @patrickc on X

@patrickc is The Analyst

Brings receipts. Every take arrives with data attached.

  • Evidence over vibes
  • Long-form depth
  • Contrarian when earned

One of six archetypes Xpert reads from the published numbers: topics, cadence, reply habits and format mix. It is a heuristic label, not one Patrick Collison chose.

How @patrickc's posts perform

An average @patrickc post gets 1.8K likes, 107 replies and 127 reposts from 530.2K views.

Per post, on average

Likes
1.8K
Reposts
127
Replies
107
Views
530.2K
Median length
177 chars
Posts analyzed
200

Format mix

With media
46%
With links
43%
Ask a question
14%
Part of a thread
0%

Share of @patrickc's last 200 posts. Replies make up 1% of their output.

When does @patrickc post?

@patrickc posts about 4 times a week, most often on Mondays and between 15:00 and 18:00 UTC. Engagement is cooling: 0.63% across the older half of recent posts, 0.54% across the newer half.

Posts by day of week
Sun: 14 posts, Mon: 35 posts, Tue: 33 posts, Wed: 32 posts, Thu: 25 posts, Fri: 29 posts, Sat: 32 posts
Posts by hour (UTC)
00-03: 10 posts, 03-06: 2 posts, 06-09: 2 posts, 09-12: 8 posts, 12-15: 48 posts, 15-18: 65 posts, 18-21: 33 posts, 21-24: 32 posts
Engagement trend

Cooling

0.63% to 0.54% (−0.09 pts, down)

Oldest half of recent posts against the newest half.

The busiest day and window are in amber. Hours are UTC.

What does @patrickc post about?

Most often Internet Commerce & Financial Infrastructure (40% of recent posts), then AI & Agentic Workflows (25%), Aesthetics & Built Environments (15%), Science & Bio-Tech Discovery (10%) and Cultural Criticism & Reading (10%).

AI summary of their voice

Patrick Collison writes with a high-bandwidth, polymathic, and optimistic tone that bridges the gap between deep-tech engineering and cultural history. His persona is that of a intellectually curious…

What they post about

Internet Commerce & Financial Infrastructure
40%
AI & Agentic Workflows
25%
Aesthetics & Built Environments
15%
Science & Bio-Tech Discovery
10%
Cultural Criticism & Reading
10%

Words they lean on

  • new×87 uses
  • stripe×75 uses
  • much×53 uses
  • many×45 uses
  • time×44 uses

What works for @patrickc

The 'Founder-Researcher' Insight

He frames corporate updates as discoveries rather than PR, making product announcements feel like a natural extension of his intense intellectual curiosity.

One of 4 patterns. The rest are in the full analysis.

From one of their posts
It is increasingly clear that agents will be responsible for most transactions in the not overly distant future.

@patrickc's top recent posts

The most-liked of their last 200 posts, with the numbers X reported. Each opens the original.

Patrick Collison

@patrickc ·

I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!

475 replies628 reposts9.6K likes4.1M views

What the full analysis adds

The full analysis of @patrickc goes past the public numbers: the hooks they rely on, the patterns that work, the weaknesses holding the account back, and how to get their attention.

The rest of @patrickc's analysis

  • 5 opening-hook formulas, as reusable templates
  • 3 more what-works patterns with real quotes
  • 3 weaknesses holding the account back
  • How to get their attention: what to reply to, in what tone
  • 6 more top posts plus cadence detail
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Patrick Collison (@patrickc) X (Twitter) Stats, Archetype & Strategy | Xpert