J engagement report
@mrmuscleyuk - 405K followers on X
Measured over 7 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
Early reading. We have captured 7 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 319 interactions against 405K followers, an engagement rate of 0.079%. Posts are seen about 18K times each, and 1.80% of those impressions turn into an interaction. That is about 4.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 2.0K interactions, about 6.3x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on August 31, 2026.
Where this sits in the catalog
At 0.079%, J sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 158.3% |
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 07:00 UTC, and Sunday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 71K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 80K |
| 12:00 UTC | -2% | 88K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 103K |
| 16:00 UTC | -3% | 100K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 86K |
| 19:00 UTC | -2% | 81K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -1% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 234K |
| Monday | 0% | 294K |
| Tuesday | -3% | 288K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 247K |
| Friday | -3% | 256K |
| Saturday | +3% | 230K |
Best tweets
- May 14, 20266.3x their median
When you’re waiting for a tissue 🙄💦 https://t.co/CMQoHa0thZ
- Jul 4, 20266.2x their median
What would you do first https://t.co/Ub0qBEFKRI
- Apr 30, 20265.4x their median
Check the comments https://t.co/l7Ee1JbzXq
- Jul 2, 20263.3x their median
https://t.co/BRR4UDU8fb
- Jun 1, 20263.1x their median
Check comments to watch it grow https://t.co/pJC4fYkFLb
- Jul 12, 20262.6x their median
Ready to fuck check the comments https://t.co/Rc3KwzBfPF
- Jun 12, 20262.5x their median
Do you think white looks good on me? https://t.co/L1lIe8ZOce
- May 22, 20262.4x their median
This back for sure got your attention 👀 https://t.co/448ggMo5nr
- Aug 4, 20262.3x their median
Camping life 😙 https://t.co/LiqQPxXVkv
- May 15, 20262.2x their median
👀 https://t.co/6Yg67gYUnN
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 319 interactions against 405K followers, an engagement rate of 0.079%. Posts are seen about 18K times each, and 1.80% of those impressions turn into an interaction. That is about 4.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 2.0K interactions, about 6.3x its own typical post. Only 7 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 J's engagement rate on X?
- J (@mrmuscleyuk) has an engagement rate of 0.079%, based on the median interactions across 7 original posts from the last 30 days against 404,538 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.079%, J sits above the 25th percentile of the 37,071 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 @mrmuscleyuk have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @mrmuscleyuk post?
- Most posts go out around 07:00 UTC, and Sunday is its busiest day, at roughly 0.27 posts per day across the measured window.