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DIN⏳ engagement report

@din_lol_ - 279K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 279K followers
Per impression
0.231%
3.0K views on a typical post
Reach
1.09%
of its followers see a post
Typical post
7
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.47/day
active 40% of days
Peak time
07:00 UTC
Wednesday

A typical post picks up 7 interactions against 279K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 11% 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 3.0K times each, and 0.231% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 92% link out. The account's strongest tracked post pulled 38K interactions, about 5427x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 22, 2026.

Compared with accounts its own size

DIN⏳'s engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 14% 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 0.003%, DIN⏳ sits below the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 07:00 UTC, and Wednesday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video0% of posts+111%+108% to +115%34K
Outbound link92% 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.
  • 92% 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 1149 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

  • Mar 14, 20265427x their median

    'Arc Raiders' has started replacing AI voices with human ones 🎮 The CEO admits they are 'better' "There is a quality difference. A real professional actor is better than AI; that’s just how it is" (via @GIBiz) https://t.co/S8AK3Xx6wf

    35K1.9K4548683.1M viewsView on X
  • Feb 20, 20262198x their median

    Phil Spencer is retiring as the CEO of Microsoft Gaming effective immediately. Asha Sharma from Microsoft will take over as CEO. Sarah Bond will depart Xbox. https://t.co/xP1mppaOJx

    26K1.6K3.2K2.4K9.7M viewsView on X
  • Feb 23, 20262056x their median

    Made with Grok Imagine https://t.co/GDJBmfoEeq

    24K4.0K1.8K96051M viewsView on X
  • Jul 9, 20262152x their median

    Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API. https://t.co/Qri7GdtYs3

    12K1.4K5797674.5M viewsView on X
  • Feb 7, 20261642x their median

    ClawPhone is alive. I installed OpenClaw on a $25 phone and gave it full access to the hardware. I haven’t explored everything yet, but it’s a cool formfactor for agents to run on. https://t.co/lp1l1z52nJ

    9.6K1.2K535221816K viewsView on X
  • Sep 7, 2026821x their median

    Game 6 Michael Jordan. Tiger Woods on Sundays. Zheng Qinwen down 0-5. https://t.co/FfjWuxNSyW

    5.2K4073756415K viewsView on X
  • Jun 2, 2026793x their median

    We’re making Codex more useful for your work by expanding plugins beyond individual tools. These plugins turn Codex into a specialist for a specific role with a single install, no coding required. Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing. https://t.co/nunrYP2uMI

    4.7K438279158657K viewsView on X
  • Feb 27, 2026624x their median

    don't waste time with crypto

    2.7K2551.1K327991K viewsView on X
  • Apr 6, 2026609x their median

    https://t.co/VoQByJUrBU

    3.5K589891022.7M viewsView on X
  • Mar 9, 2026448x their median

    Anthropic researchers: “Even if AI progress completely stalls today and we don’t reach AGI, the current systems are already capable of automating all white-collar jobs within the next 5 five years” yeah, we’re cooked. https://t.co/d0eXMFeLJX

    2.7K14425350279K viewsView on X

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 7 interactions against 279K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 11% 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 3.0K times each, and 0.231% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 92% link out. The account's strongest tracked post pulled 38K interactions, about 5427x its own typical post.

What is DIN⏳'s engagement rate on X?
DIN⏳ (@din_lol_) has an engagement rate of 0.003%, based on the median interactions across 13 original posts from the last 30 days against 278,772 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, DIN⏳ sits below the 10th percentile of the 204,694 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 @din_lol_ have real engagement?
Its engagement rate beats 11% 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 @din_lol_ post?
Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 0.47 posts per day across the measured window.

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