Matt Pocock engagement report
@mattpocockuk - 379K followers on X
Measured over 43 original posts from a 30-day window, last computed on October 8, 2026.
Engagement
A typical post picks up 1.2K interactions against 379K followers, an engagement rate of 0.33%. Measured over 43 original posts, its engagement rate beats 88% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 97K times each, and 1.25% of those impressions turn into an interaction. That is about 25.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 09:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 21% carry an image or video, 28% are part of a thread and 14% link out. The account's strongest tracked post pulled 14K interactions, about 12x its own typical post.
Measured over 43 original posts from a 30-day window, last computed on October 8, 2026.
Compared with accounts its own size
Matt Pocock's engagement rate beats 88% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 54% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.33%, Matt Pocock sits above the 50th percentile of the 205,991 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.68%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.68% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 09:00 UTC, and Thursday 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 | 21% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 21% 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.
- 14% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 284 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
- Sep 29, 202612x their median
this has become one of my most used prompts recently: > restate in your own words what you think my goals are and what the problem i'm trying to solve is
- Oct 7, 20266.8x their median
1. Oh shit, AI can do my job better than me 2. Software engineering is dead! 3. I can vibe code as much slop as I want! 4. Oh, things are not going well. Fable/Sol/Opus all suuuck 5. But what if I constrain the agent? Put it in a straitjacket? 6. Oh, the results are pretty good now. How do I go deeper? 7. *Orders 12 software engineering books from Amazon* 8. Software engineering is alive!
- Sep 3, 20266.8x their median
/show-me is a phenomenal skill Makes PR descriptions extremely easy to read Basically a toolbox of "nice ways to look at code" Nice work, @dexhorthy https://t.co/phB1dAPwgG
- Sep 29, 20266.7x their median
My top 3 skill makers: - @poteto - @dexhorthy - @emilkowalski Always learn a ton from reading their skills.
- Oct 2, 20264.8x their median
Prompt of the day: /retro read my last 10 coding agent sessions and find ways to make my repo easier to navigate. Find where agents take too long to find relevant information, or rely on out-of-date docs. Improving navigability is such an underrated way to save tokens.
- Aug 31, 20263.8x their median
Starting to wonder if the smartest way to reduce slop is just to produce less code Force code review to continually reduce code while ALSO keeping cyclomatic complexity low Less code means less code to maintain, fewer bugs
- Sep 14, 20263.6x their median
Someone just DM'd me saying they: - Took my courses - Became the "AI person" at work - Got asked to run internal trainings - Feel guilty (like they're taking work away from me) Don't feel guilty! This is my DREAM end state for my students. Knowledge is still valuable. Becoming the AI guy/gal at your company can totally change your career. If you're in this position too, let me know how I can help you run your trainings - materials/advice etc.
- Aug 22, 20263.4x their median
I'm moving away from my local dev setup Makes zero sense to me now
- Oct 5, 20263.2x their median
mattpocock/skills v1.3 is out! - /pr (new) writes easy-to-read PR bodies, showing hard evidence that the changes work and assessing merge risk - /implement-spec (new) takes in a spec and tickets, and implements them with subagents - CONTEXT.md renamed to GLOSSARY.md - /retro (new) reviews recent coding agent sessions and suggests repo improvements /retro, especially, feels like a huge upgrade. Enjoy!
- Sep 30, 20263.2x their median
Super excited to be interviewing @poteto, live, in ~48 hours on YouTube. We'll be nerding out about skills, high-velocity software factories, and learning SOTA techniques for shipping with agents. This Friday - 9AM PT. Don't miss it! https://t.co/NP46X659jw https://t.co/U1MOmJtl7L
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 1.2K interactions against 379K followers, an engagement rate of 0.33%. Measured over 43 original posts, its engagement rate beats 88% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 97K times each, and 1.25% of those impressions turn into an interaction. That is about 25.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 09:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 21% carry an image or video, 28% are part of a thread and 14% link out. The account's strongest tracked post pulled 14K interactions, about 12x its own typical post.
- What is Matt Pocock's engagement rate on X?
- Matt Pocock (@mattpocockuk) has an engagement rate of 0.33%, based on the median interactions across 43 original posts from the last 30 days against 379,117 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.33%, Matt Pocock sits above the 50th percentile of the 205,991 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 @mattpocockuk have real engagement?
- Its engagement rate beats 88% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @mattpocockuk post?
- Most posts go out around 09:00 UTC, and Thursday is its busiest day, at roughly 2.73 posts per day across the measured window.