John Collison engagement report
@collision - 243K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 10, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 567 interactions against 243K followers, an engagement rate of 0.234%. Posts are seen about 32K times each, and 1.78% of those impressions turn into an interaction. That is about 13.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 280K interactions, about 493x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 10, 2026.
Where this sits in the catalog
At 0.234%, John Collison sits above the 50th percentile of the 66,393 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.5% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 17:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 322 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Dec 3, 2021493x their median
banks email like "Ummmmm we have a MESSAGE for you. In your INBOX" and then the message is like "Hello we are your bank"
- Jul 16, 202627x their median
One second you’re getting a nice tan, the next second the Blue Angels are buzzing by 5 feet from your head 🇺🇸 https://t.co/71d01Ot1Zy
- Apr 6, 20264.3x their median
Tomorrow on Cheeky Pint: @sundarpichai gets into everything AI with @eladgil and me. https://t.co/cPHmEwnAIA
- Jun 24, 20263.8x their median
We're launching Intercept, a new philanthropic initiative to fight respiratory viruses like colds and flus. https://t.co/ETkOVI9Xgh
- Apr 1, 20262.8x their median
In 2001, the SFO airport released a study concluding that new runways needed to be built in the bay to separate traffic & reduce the need for visual approaches. The new runways would be far enough apart that parallel approaches could be made even in bad weather. To offset any environmental effects, they would preserve vast stretches of wetlands. The proposal was supported by politicians & airline executives, among others. Environmentalists killed the plan. 25 years later, the FAA effectively kneecapped the airport by restricting parallel approaches. Will SFO now build the new runways? I doubt it. CA can’t actually build things. High-speed rail boondoggle, the 2014 bond that was supposed to build 10 new reservoirs (9 are now cancelled, the last has not begun construction & may never), wildlife bridge, a capital renovation where politicians refuse to reveal the costs & un-auditable homeless spending. Even if a proposal was made today & put before voters, would I support it as a resident? No. Not because SFO doesn’t need it – it does – but because the project would take the trajectory of every other California project & just become a black hole for money to mysteriously vanish into with nothing to show for it while politicians refuse to audit it. The state can’t afford it anyway. We have a looming fiscal crisis unfolding slowly, but it will accelerate soon. So, I’m sad. SFO is kneecapped, the region’s existing infrastructure can’t absorb the overflow & I don’t believe it can build. There is a future here, but its a future of decline. My airline career here isn’t over, but the trajectory has changed. I doubt I’ll be displaced from the left seat, but the days of growth are over.
- May 1, 20262.2x their median
At Stripe Sessions, we showed how we think agentic commerce will often happen behind the scenes in the course of producing other final products. Here, we show our Claude Code using MPP and @tempo to buy a dataset from @alpha_vantage in the process of generating a research report for me on AI energy usage.
- Apr 7, 20262.2x their median
.@sundarpichai joined @eladgil and me in the Cheeky Pint pub. I was excited to get into Google in 2026: how AGI-pilled Google is, compute bottlenecks, fast AI products, $180b capex, the intelligence overhang at enterprises, and deciding capital allocation at a company overflowing with ideas.
- Apr 30, 20261.9x their median
We've been thinking a lot at Stripe about the Coasean lens on AI: - The obvious near-term effect is reduced transaction costs within companies: shared context, systems of record, aligned incentives etc. - But inter-company transaction costs also reduce sharply: agents are great at discovery, make it trivially easy to integrate; make contracting much more straightforward; agent-to-agent commerce. - On net, we think second effect bigger in medium term: fewer people per firm, more output per firm, just more firms, and more coordination happening through market-like mechanisms
- Apr 5, 20261.7x their median
You can now arrange your tabs in a vertical sidebar in Chrome! 1) chrome://flags and enable Vertical Tabs 2) Settings -> Appearance -> set "Tab strip position" to Side Uses the real estate of an external monitor better, and easier tab switching for those of us with a few too many tabs open.
- Aug 19, 20261.7x their median
We’re delighted to welcome @OpenRouter to Stripe to help developers and businesses optimise their AI usage. As intelligence becomes a large fraction of companies' budgets, allocating that intelligence budget wisely becomes increasingly important. https://t.co/FswNe01XRX
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 567 interactions against 243K followers, an engagement rate of 0.234%. Posts are seen about 32K times each, and 1.78% of those impressions turn into an interaction. That is about 13.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 280K interactions, about 493x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is John Collison's engagement rate on X?
- John Collison (@collision) has an engagement rate of 0.234%, based on the median interactions across 2 original posts from the last 30 days against 242,669 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.234%, John Collison sits above the 50th percentile of the 66,393 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @collision have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @collision post?
- Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 0.3 posts per day across the measured window.