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fomo 🧠 engagement report

@fomomofosol - 101K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.097%
of 101K followers
Per impression
0.79%
12K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
98
interactions (median)
Saved
0.028%
4 bookmarks on a typical post
Posting rate
4.43/day
active 50% of days
Peak time
02:00 UTC
Wednesday

A typical post picks up 98 interactions against 101K followers, an engagement rate of 0.097%. Measured over 40 original posts, its engagement rate beats 51% of 15,519 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 12K times each, and 0.79% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 73% carry an image or video, 8% are part of a thread and 13% link out. The account's strongest tracked post pulled 11K interactions, about 114x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

fomo 🧠's engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 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 34% 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 0.097%, fomo 🧠 sits above the 25th percentile of the 157,515 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 157,515 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,033 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video73% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 73% 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.
  • 13% 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 115 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 17, 2026114x their median

    Introducing Bot Mode for Hermes Desktop. Your agent profiles become a series of named Bots. Each Bot has its own role, model, memory, skills and profile picture; Bots can use any model and even communicate with each other. Build a specialist Bot once to use it forever. https://t.co/AYWD9Ro2I1

    9.4K8155663932.5M viewsView on X
  • Jul 29, 202630x their median

    I finally sat down and put my entire meme coin trading workflow into one free video. This is everything I wish someone explained to me when I started: - The tools and terminal setup you actually need - How Memescope, migrations and new pairs work - The different types of meme coin traders - Trading launches vs buying dips and stronger narratives - How I find and evaluate wallets - Using Telegram and X as research tools - Spotting fake volume, bundles and controlled supply - Position sizing, taking profit and knowing when your thesis is wrong I’ve made life-changing money in this market, given money back, rebuilt from smaller ports and had to completely change how I trade as the market changed. This is the framework I use now. It’s free, almost 50 minutes long, and safe to send to anyone you’re trying to onboard without throwing them straight into the trenches blind. Watch here: https://t.co/kRhX4FlHuw

    2.6K2418812322K viewsView on X
  • Aug 14, 202617x their median

    There are two options to making money in memecoins You either > spend all day staring at new launches, buying and selling thousands of times a day, holding for seconds, reading the most dogshit narratives ever created > take an hour out of your day, scan for the best performing memes of the day, see if anything is obvious and could be a big runner, buy and hold One option has you trapped staring at a screen for longer than a 9-5 would, and the other lets you actually live life One option gives you the worst habits you could have in this industry, the other does the complete opposite and puts you in a better mental mindset The choice is ultimately yours but it shouldn’t really even be a choice

    1.3K1341581970K viewsView on X
  • Sep 22, 20269.7x their median

    bros they killing me on every buy 🥵 https://t.co/m5UbsMukkR

    731152042125K viewsView on X
  • Aug 14, 20268.7x their median

    Guy with a wife, kids, 9 to 5: “I can’t be trading memecoins all day man! Just buy and hold 🤬”

    5361923264163K viewsView on X
  • Sep 26, 20268.7x their median

    Doing an X space going to discuss the type of research I would like to do at the e/acc non-profit Everyone in the community is welcome to join! https://t.co/LOuKn0SrbN

    61110211620261K viewsView on X
  • Sep 7, 20268.3x their median

    cheat code honestly https://t.co/H9oNcAR4l7 https://t.co/fL7ZULgWDe

    7375418375K viewsView on X
  • Sep 5, 20265.8x their median

    team work makes the dream work. https://t.co/1zBGH4k5mV

    40264101328K viewsView on X
  • Sep 22, 20265.2x their median

    stonk is what would happen if you gave satan access to claude and said "quickly make the WORST FUCKING HELL PAD ever created, make EVERY mistake" holy FUCK this launchpad is a genuine SPAWN of HELL WHO PSYOPED THIS SHIT???

    311915932101K viewsView on X
  • Sep 27, 20265.2x their median

    Will do an X space in the morning. Good night.

    337321291051K 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 98 interactions against 101K followers, an engagement rate of 0.097%. Measured over 40 original posts, its engagement rate beats 51% of 15,519 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 12K times each, and 0.79% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 73% carry an image or video, 8% are part of a thread and 13% link out. The account's strongest tracked post pulled 11K interactions, about 114x its own typical post.

What is fomo 🧠's engagement rate on X?
fomo 🧠 (@fomomofosol) has an engagement rate of 0.097%, based on the median interactions across 40 original posts from the last 30 days against 100,561 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.097%, fomo 🧠 sits above the 25th percentile of the 157,515 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 @fomomofosol have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 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 @fomomofosol post?
Most posts go out around 02:00 UTC, and Wednesday is its busiest day, at roughly 4.43 posts per day across the measured window.

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