mRr3b00t engagement report
@UK_Daniel_Card - 127K followers on X
Measured over 9 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 8 interactions against 127K followers, an engagement rate of 0.006%. Measured over 9 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 644 times each, and 1.24% of those impressions turn into an interaction. That is about 0.508% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 05:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video, 11% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.5K interactions, about 191x its own typical post. Recurring topics include #bsideschelt, #yetispam.
Measured over 9 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #bsideschelt, #yetispam.
Compared with accounts its own size
mRr3b00t's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 47% 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 0.006%, mRr3b00t sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 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 05:00 UTC, and Saturday 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 | 89% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 11% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 89% 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.
- 11% 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 362 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
- Jan 31, 2025191x their median
Still stoked to have got these 😍🛡️🇬🇧📡🛰️🤓 @NCSC https://t.co/6I3KI9HeUr
- Oct 2, 202627x their median
We are tracking rumors + honeypot activity relating to a new vulnerability affecting Citrix appliances, acknowledged just now in a Citrix blog. It is currently unclear whether this is “DoS via bad patch" or "another bad vuln in SAML config'd appliances" Our hearts 💔 https://t.co/OinN1vj9Yy
- Oct 2, 20266.8x their median
we ballin! https://t.co/88O5HC7pYM
- Oct 3, 20262.5x their median
Morning world! 🌍 🫶🦾🤓 https://t.co/SnMxeL4A8w
- Oct 2, 2026
A drone is not showing up as bright red, green, white lights miles away, here's what a drone really looks/sounds like at night, close up! https://t.co/z9LeqMaJRA
- Oct 3, 2026
Wooooh it’s @BSidesChelt today! https://t.co/peMkqa8NVU
- Oct 1, 2026
EU’s hodgepodge tech policy exposes members to Chinese vendor risks, says the Royal United Services Institute. More here: https://t.co/k55wc88Dp2 https://t.co/k55wc88Dp2
- Oct 3, 2026
A good question and then an example of an absolutely loony tune level response.... which is a great example of why the 'AI' orgs and their faux safety counterparts have managed to: > Build unsafe environments > Operate them in an unsafe way > Breach the CMA/CFAA > Say absolutely ridiculous things about how to do DFIR (what they were doing is not DFIR) > pretend a computer is alive Move fast and break things seems to the modus! > move fast and run unsafe tests in unsafe environments > obsess over science fiction and ignore the safety of science fact Life is far more simple when you realise lots of things are: > Money driven > Ideology Driven > Compromise Driven > Ego Driven and then throw in bait of sturgeons Law for good measure! MICE + Incompetence
- Oct 3, 2026
doing some fun stuff 🫶🫡🛡️🛡️🛡️🛡️🛡️ https://t.co/7qgBEQT5PE
- Oct 3, 2026
> People > Policy > Process > Technology I think there's a funny thing in the world in general in terms of how say: I look at 'SYSTEMS' (not just me but I'll use myself as an example) and how some people do. Throughout my career I've worked on a lot of roles in a lot of orgs (in tech). I very quickly moved into planning & design (architecture) whilst always keeping a practical hands on approach. I was building labs with PCs on an Ikea shelf at home when I was a young lad... I never stopped! I understand that many things are abstractions, I understand that for examples: models aren't perfect, some are useful (well this applies to diagrams, tweets, code etc.) There's often a sort of over simplification in the world: only X matters (and then, if you are not X you MUST BE Y) a human trait I just don't understand...... maybe that's part of the buzzy brain thing ;) but..... how this stuff works, to me isn't that complex (it is complex I just like drawing and my brain works well with systems thinking).... You need a range of security controls to make a system 'reasonably safe' (see there's no such thing as totally secure or 100% secure, that's meant to be given until you come on social media and if someone doesn't like what you say they say: OMG you are dismissing ALL risks because you don't agree with 1 thing I said! (fucking insane) My diagram here is not perfect, but it will give people hopefully some idea of why I work the way I do. > WHOLE OF SYSTEM matters > Subsystems matter > Micro components matter how they all fit together is really important, because there are always constraints, prioritise and trade offs. no system is ever perfect.
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 8 interactions against 127K followers, an engagement rate of 0.006%. Measured over 9 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 644 times each, and 1.24% of those impressions turn into an interaction. That is about 0.508% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 05:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video, 11% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.5K interactions, about 191x its own typical post. Recurring topics include #bsideschelt, #yetispam.
- What is mRr3b00t's engagement rate on X?
- mRr3b00t (@UK_Daniel_Card) has an engagement rate of 0.006%, based on the median interactions across 9 original posts from the last 30 days against 126,714 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.006%, mRr3b00t sits above the 10th percentile of the 205,261 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 @UK_Daniel_Card have real engagement?
- Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @UK_Daniel_Card post?
- Most posts go out around 05:00 UTC, and Saturday is its busiest day, at roughly 1.53 posts per day across the measured window.