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ʎllǝuuop ʇuǝɹq engagement report

@donnelly_brent - 96K followers on X

Measured over 27 original posts from a 30-day window, last computed on September 17, 2026.

Engagement

Middle of its size range
Per follower
0.145%
of 96K followers
Per impression
0.847%
16K views on a typical post
Reach
17.1%
of its followers see a post
Typical post
138
interactions (median)
Saved
0.025%
4 bookmarks on a typical post
Posting rate
2.5/day
active 57% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 138 interactions against 96K followers, an engagement rate of 0.145%. Measured over 27 original posts, its engagement rate beats 58% of 20,183 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 0.847% of those impressions turn into an interaction. That is about 17.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 27 posts sampled, 37% carry an image or video and 22% link out. The account's strongest tracked post pulled 8.0K interactions, about 58x its own typical post.

Measured over 27 original posts from a 30-day window, last computed on September 17, 2026.

Compared with accounts its own size

ʎllǝuuop ʇuǝɹq's engagement rate beats 58% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 7 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 36% 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 0.145%, ʎllǝuuop ʇuǝɹq sits above the 50th percentile of the 202,672 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.673%.

p100.004%
p250.024%
p50 (median)0.142%
p750.673%
p902.54%
p9982.6%
Engagement rate as a share of followers, across the 202,672 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,932 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 percentile0.142%
75th percentile0.673%
90th percentile2.54%
99th percentile82.6%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video37% of posts+111%+108% to +115%34K
Outbound link22% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 37% 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.
  • 22% 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 155 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Aug 11, 202658x their median

    This @axios piece is so so so sooo humiliating 😆 we are witnessing a truly catastrophic level of societal brain rot right now https://t.co/1PXSZrTD5q

    6.7K6822173561.2M viewsView on X
  • Aug 14, 202632x their median

    I Interrupted Their Game https://t.co/iXE9YFUwEx

    4.1K2329042141K viewsView on X
  • Aug 7, 202611x their median

    I’ve never posted my investment research in the public domain, but such is the interest in the Fed & Warsh I thought it might be useful to do so. Here is a lightly edited version of what I sent to my clients last week. Do let me know what you think. https://t.co/4AUQSJYGin

    1.4K893512521K viewsView on X
  • Sep 2, 20267.1x their median

    Thank you for your patience. We're continuing the sale now. As we adjust our queue systems wait times may increase, but your place in the queue is the same as when we paused the sale. If you have any questions about an order, contact Customer Support: https://t.co/tSBG7NIZNy

    121481143201K viewsView on X
  • Aug 17, 20266.5x their median

    no caption required https://t.co/wYJwfGJvQx

    701638057307K viewsView on X
  • Aug 31, 20266.0x their median

    OpenAI just hit a $1B run rate on ChatGPT ads in under 200 days. Google took 5 years to hit a billion in ads. Meta took nearly 6. TikTok took around 3. First-mover advantage on this ad inventory will be massive before CPCs spike. https://t.co/Ctvs8o3qaS

    73437421578K viewsView on X
  • Sep 8, 20265.9x their median

    underappreciated chart https://t.co/9TDZhiu3NP

    652915717104K viewsView on X
  • Aug 19, 20265.3x their median

    2024: Key Square Group LP founder Scott Bessent, a prominent Donald Trump fundraiser, sharply criticized Treasury Secretary Janet Yellen, accusing her of changing the the cadence of the composition of the Treasury issue to bolster President Joe Biden by juicing the economy ahead of the election. 2026: Bessent announces plan to buy more long bonds in a program that starts early September and ends one day before midterms. Symmetry.

    58992321480K viewsView on X
  • Jun 29, 20263.8x their median

    My new book is out! TRADE OUTSIDE THE BOX: Advanced Thinking for Professional Traders Go beyond fundamentals and technicals and use second-order thinking, poker strategy, clinical psychology, AI, LLMs, and a better understanding of ergodicity, narrative contagion, the multiverse and much, much, much more. If you think like everyone else, you will perform like everyone else.

    429285419167K viewsView on X
  • Aug 19, 20263.8x their median

    https://t.co/JxmMPA53dt

    461507638K 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 138 interactions against 96K followers, an engagement rate of 0.145%. Measured over 27 original posts, its engagement rate beats 58% of 20,183 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 0.847% of those impressions turn into an interaction. That is about 17.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 27 posts sampled, 37% carry an image or video and 22% link out. The account's strongest tracked post pulled 8.0K interactions, about 58x its own typical post.

What is ʎllǝuuop ʇuǝɹq's engagement rate on X?
ʎllǝuuop ʇuǝɹq (@donnelly_brent) has an engagement rate of 0.145%, based on the median interactions across 27 original posts from the last 30 days against 95,771 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.145%, ʎllǝuuop ʇuǝɹq sits above the 50th percentile of the 202,672 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 @donnelly_brent have real engagement?
Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the middle of its size range 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 @donnelly_brent post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 2.5 posts per day across the measured window.

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