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Odon engagement report

@IAMOdon - 333K followers on X

Measured over 95 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Middle of its size range
Per follower
0.009%
of 333K followers
Per impression
0.476%
6.1K views on a typical post
Reach
1.83%
of its followers see a post
Typical post
29
interactions (median)
Saved
0.033%
2 bookmarks on a typical post
Posting rate
4.53/day
active 73% of days
Peak time
17:00 UTC
Monday

A typical post picks up 29 interactions against 333K followers, an engagement rate of 0.009%. Measured over 95 original posts, its engagement rate beats 32% of 20,444 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 6.1K times each, and 0.476% of those impressions turn into an interaction. That is about 1.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 95 posts sampled, 64% carry an image or video and 8% link out. The account's strongest tracked post pulled 1.9K interactions, about 67x its own typical post.

Measured over 95 original posts from a 30-day window, last computed on October 10, 2026. Recurring tag: #tdah.

Compared with accounts its own size

Odon's engagement rate beats 32% 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 30% 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 0.009%, Odon sits above the 10th percentile of the 204,956 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 17:00 UTC, and Monday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video64% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 64% 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.
  • 8% 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 209 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 28, 202667x their median

    🚨 STOP COMPLAINING — IT’S LITERALLY TRAINING YOUR BRAIN TO BE NEGATIVE Ever notice how some people seem stressed all the time, even over small things? Science says it’s not just their personality — it’s their brain. Research shows that repeated complaining actually rewires your brain. Every time you complain, your brain activates stress and threat-detection circuits. Do it again and again, and those circuits get stronger. This process is called neuroplasticity — your brain becomes better at whatever you practice most. So if you constantly talk about problems, frustrations, and annoyances, your brain learns to search for negativity. What starts as a bad day slowly turns into a habit of negative thinking. Over time, the brain treats the world as a dangerous place, even when nothing is wrong. This is why chronic complainers often feel tense, irritated, or overwhelmed by small issues. Their stress level stays high because their brain is stuck in “alert mode.” Even minor problems feel big, because the brain has been trained to react that way. The powerful part? This can be reversed. Stanford researchers explain that once you understand how your brain works, you can retrain it. Shifting how you speak — focusing on solutions, gratitude, or learning — builds new, healthier pathways. Your brain can be trained for calm, resilience, and clarity just as easily as it was trained for stress. What you repeat, your brain remembers. So choose your words carefully — you’re shaping your mind every day.

    1.4K4325449102K viewsView on X
  • Aug 27, 20265.0x their median

    this is your brain the first week you try something new. ugly. slow. still building the road. https://t.co/Y2jWH5jBoU

    128150119K viewsView on X
  • Oct 1, 20263.8x their median

    how fast you walk says a lot about your brain. slow walkers had smaller brains, older faces and 16 fewer iq points 🧵 https://t.co/wi6Z7lIGZh

    6728958.9K viewsView on X
  • Sep 28, 20262.8x their median

    what if galaxies are nothing more than cells in a much larger organism? https://t.co/RiPIHGi2q5

    61154110K viewsView on X
  • Aug 26, 20262.6x their median

    https://t.co/8rqZJsdZZh

    695019.4K viewsView on X
  • Aug 26, 20262.5x their median

    You are, in a way, a universe of your own. https://t.co/AYtyCvY5Yp

    721009.4K viewsView on X
  • Aug 24, 20262.2x their median

    🧠🔬🧬 FLASH || Des études confirment que le dialogue intérieur module l’activité des cellules cérébrales, en altérant la connectivité neuronale au sein des réseaux liés à l’émotion, à la motivation et à la cognition. https://t.co/2qXmpuWa9E

    5491114K viewsView on X
  • Sep 26, 20262.2x their median

    purpose is the most underrated antidepressant

    47123210K viewsView on X
  • Sep 25, 20262.2x their median

    this is light, moving across a room. it takes about ten nanoseconds. everything you have ever seen arrived this way, and this is the first time you have caught it in the act. https://t.co/c3IU1zSb3e

    499517.0K viewsView on X
  • Oct 5, 20262.0x their median

    this is what talking looks like inside your head. every sentence takes more than 100 muscles in your tongue, lips, jaw, throat and chest, firing in the right order within milliseconds. you've never once had to think about it. https://t.co/xes1AAJ2P4

    40142211K 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.

Recurring topics

#tdah

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 29 interactions against 333K followers, an engagement rate of 0.009%. Measured over 95 original posts, its engagement rate beats 32% of 20,444 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 6.1K times each, and 0.476% of those impressions turn into an interaction. That is about 1.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 95 posts sampled, 64% carry an image or video and 8% link out. The account's strongest tracked post pulled 1.9K interactions, about 67x its own typical post.

What is Odon's engagement rate on X?
Odon (@IAMOdon) has an engagement rate of 0.009%, based on the median interactions across 95 original posts from the last 30 days against 333,178 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Odon sits above the 10th percentile of the 204,956 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 @IAMOdon have real engagement?
Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (20,444 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 @IAMOdon post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 4.53 posts per day across the measured window.

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