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Gary ๐Ÿ€ engagement report

@notoriousalerts - 118K followers on X

Measured over 43 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Bottom quarter for its size
Per follower
0.015%
of 118K followers
Per impression
0.341%
5.3K views on a typical post
Reach
4.47%
of its followers see a post
Typical post
18
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.17/day
active 87% of days
Peak time
17:00 UTC
Friday

A typical post picks up 18 interactions against 118K followers, an engagement rate of 0.015%. Measured over 43 original posts, its engagement rate beats 23% of 15,519 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 5.3K times each, and 0.341% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 61 interactions, about 3.4x its own typical post.

Measured over 43 original posts from a 30-day window, last computed on October 6, 2026.

Compared with accounts its own size

Gary ๐Ÿ€'s engagement rate beats 23% 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 17% 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 0.015%, Gary ๐Ÿ€ sits above the 10th percentile of the 156,596 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,596 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,062 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 percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video60% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 60% 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.
  • 0% 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 160 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

  • Oct 1, 20263.4x their median

    The smartest people in the room typically arenโ€™t the ones trying to convince you they are the smartest people in the room

    502906.0K viewsView on X
  • Sep 16, 20263.4x their median

    Good news. I just finished burying any sign of volume the market has this week. Itโ€™s in my back yard. Itโ€™s better this way. https://t.co/RPBifnkMGl

    530806.4K viewsView on X
  • Sep 14, 20263.1x their median

    Gonna tell my future kids this is how I showed up to the front lines of the market each morning when I built their empire. Up hill to work both ways. They will never know about the trenches we thrive in. Breaks my heart https://t.co/7RGU6HFVGS

    4601008.3K viewsView on X
  • Sep 11, 20262.9x their median

    In 2026, one of the ONLY ways to ensure your financial stability is to be a good trader. Every industry does not provide job security anymore. You can always be replaced at any company. Being a skilled trader will always keep your income in your own hands. Donโ€™t slip

    432805.7K viewsView on X
  • Sep 11, 20262.8x their median

    I tried to take a photo of the most fire chicken parm youโ€™ve ever seen, but evidently I donโ€™t know how to use a cell phone and itโ€™s gone now. Take my word for it https://t.co/DLPbxjRGoy

    3401616.0K viewsView on X
  • Sep 14, 20262.7x their median

    Getting sloppy on one trade wonโ€™t ruin you. Missing one workout wonโ€™t ruin you. Itโ€™s when you become okay with doing those things that ruin you. Do you understand?

    420605.9K viewsView on X
  • Sep 26, 20262.6x their median

    Bro one of the biggest lies that wives tell is about these dang bananas. You look in the refrigerator and know good and well they are going bad. You say itโ€™s time to throw them away. You are told they are baking with them. You now have to see them for days and THEN trash them

    3709113K viewsView on X
  • Oct 4, 20262.2x their median

    Happy Sunday! I am currently out big backing with the most fire pizza while I am neck deep in a 4 leg parlay thatโ€™s not going the way I drew it up. I have learned a valuable lesson today though. If youโ€™re gonna lose a parlay, grab a pizza to offset it. Follow for more advice https://t.co/0yL91bBQZ8

    341419.0K viewsView on X
  • Sep 15, 20262.2x their median

    Iโ€™ll always go above and beyond for my people. How you treat people and make them feel leaves a longer impression than any one single โ€œreally sick trade broโ€ trade that you ever make. Memory is very short term for trades. Itโ€™s long term for character.

    342305.4K viewsView on X
  • Sep 23, 20261.9x their median

    Normal stream schedule back tomorrow. I appreciate all of you reaching out this week. Sometimes with a complex life, you are unable to be on camera everyday. They will not keep us away from Valhalla. The whole team rides at dawn ๐Ÿซก๐Ÿค https://t.co/NcwoVnFh9Q

    301305.5K 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 18 interactions against 118K followers, an engagement rate of 0.015%. Measured over 43 original posts, its engagement rate beats 23% of 15,519 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 5.3K times each, and 0.341% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 61 interactions, about 3.4x its own typical post.

What is Gary ๐Ÿ€'s engagement rate on X?
Gary ๐Ÿ€ (@notoriousalerts) has an engagement rate of 0.015%, based on the median interactions across 43 original posts from the last 30 days against 117,905 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, Gary ๐Ÿ€ sits above the 10th percentile of the 156,596 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 @notoriousalerts have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (15,519 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 @notoriousalerts post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 2.17 posts per day across the measured window.

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