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fomo 🧠 engagement report

@fomomofosol - 99K followers on X

Measured over 44 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Middle of its size range
Per follower
0.091%
of 99K followers
Per impression
0.793%
11K views on a typical post
Reach
11.5%
of its followers see a post
Typical post
90
interactions (median)
Saved
0.04%
4 bookmarks on a typical post
Posting rate
2.93/day
active 40% of days
Peak time
16:00 UTC
Monday

A typical post picks up 90 interactions against 99K followers, an engagement rate of 0.091%. Measured over 44 original posts, its engagement rate beats 41% of 1,224 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 11K times each, and 0.793% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video, 7% are part of a thread and 27% link out. The account's strongest tracked post pulled 11K interactions, about 121x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on August 21, 2026.

Compared with accounts its own size

fomo 🧠's engagement rate beats 41% of the tracked X accounts closest to it in follower count (1,224 accounts, accounts of similar size (decile 4 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 0.091%, fomo 🧠 sits above the 50th percentile of the 12,393 accounts in this comparison. That places it in the above the median band, which runs 0.053% to 0.35%.

p100.001%
p250.008%
p50 (median)0.053%
p750.35%
p902.43%
p99294.9%
Engagement rate as a share of followers, across the 12,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 327,630 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 percentile0.001%
25th percentile0.008%
50th percentile0.053%
75th percentile0.35%
90th percentile2.43%
99th percentile294.9%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 94%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%18K
01:00 UTC+1%18K
02:00 UTC-1%18K
03:00 UTC-4%18K
04:00 UTC-7%15K
05:00 UTC-6%14K
06:00 UTC-6%16K
07:00 UTC-6%17K
08:00 UTC-6%20K
09:00 UTC-3%23K
10:00 UTC-2%25K
11:00 UTC-2%26K
12:00 UTC0%29K
13:00 UTC0%33K
14:00 UTC-2%34K
15:00 UTC-1%36K
16:00 UTC-1%35K
17:00 UTC-1%33K
18:00 UTC+1%30K
19:00 UTC+1%28K
20:00 UTC-1%26K
21:00 UTC+1%23K
22:00 UTC+1%20K
23:00 UTC0%18K
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 94%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%85K
Monday+2%88K
Tuesday+1%102K
Wednesday-3%87K
Thursday-1%82K
Friday-4%89K
Saturday+4%83K
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 video82% of posts+83%+77% to +89%7.0K
Outbound link27% of posts-48%-50% to -47%7.2K
Typical length--4%-6% to -3%9.4K
  • 82% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 83% above the same accounts' other posts.
  • 27% of its posts carry a link off X. Across the catalog, posts with an outbound link run 48% below the same accounts' other posts.
  • Its average post runs 189 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters run 4% 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, 2026121x 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

    9.2K7965443802.5M 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

    2.4K2217812284K viewsView on X
  • Aug 14, 202618x 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
  • Aug 14, 20269.5x their median

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

    5381823464159K viewsView on X
  • Aug 10, 20265.4x their median

    I like this one https://t.co/FI3Pryh8BS

    4142046443K viewsView on X
  • Aug 18, 20263.7x their median

    if you keep selling too early or start panicking when the chart goes down, watch this 👇 https://t.co/J7ZNErriiY

    2861527120K viewsView on X
  • Aug 14, 20263.5x their median

    good morning https://t.co/C0i9YJfNkb

    2551644320K viewsView on X
  • Aug 14, 20263.5x their median

    https://t.co/9xr8rN1GQz

    15866533453K viewsView on X
  • Aug 19, 20263.4x their median

    There are a million ways to trade but this is one strategy I’ve grown to really love. Sometimes the best move is no move at all, just letting everyone else run out of patience before you do. https://t.co/mQfspd4nrW

    21543361237K viewsView on X
  • Aug 18, 20262.8x their median

    “It’s just getting started” - @orangie https://t.co/peTYY9gwJk

    1792839618K 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 90 interactions against 99K followers, an engagement rate of 0.091%. Measured over 44 original posts, its engagement rate beats 41% of 1,224 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 11K times each, and 0.793% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video, 7% are part of a thread and 27% link out. The account's strongest tracked post pulled 11K interactions, about 121x its own typical post.

What is fomo 🧠's engagement rate on X?
fomo 🧠 (@fomomofosol) has an engagement rate of 0.091%, based on the median interactions across 44 original posts from the last 30 days against 98,933 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.091%, fomo 🧠 sits above the 50th percentile of the 12,393 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 41% of the tracked X accounts closest to it in follower count (1,224 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 16:00 UTC, and Monday is its busiest day, at roughly 2.93 posts per day across the measured window.

Keep going

fomo 🧠 (@fomomofosol) Engagement Rate - 0.091% | PlayerSells