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‎Gabe Follower engagement report

@gabefollower - 260K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Top 10% for its size
Per follower
1.09%
of 260K followers
Per impression
2.42%
116K views on a typical post
Reach
45.1%
of its followers see a post
Typical post
2.8K
interactions (median)
Saved
0.224%
260 bookmarks on a typical post
Posting rate
1.83/day
active 63% of days
Peak time
21:00 UTC
Wednesday

A typical post picks up 2.8K interactions against 260K followers, an engagement rate of 1.09%. Measured over 35 original posts, its engagement rate beats 95% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 116K times each, and 2.42% of those impressions turn into an interaction. That is about 44.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 80% carry an image or video, 31% are part of a thread and 14% link out. The account's strongest tracked post pulled 26K interactions, about 9.2x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

‎Gabe Follower's engagement rate beats 95% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 70% 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 1.09%, ‎Gabe Follower sits above the 75th percentile of the 157,515 accounts in this comparison. That places it in the top 25% band, which runs 0.604% to 2.32%.

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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video80% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 80% 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.
  • 14% 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 259 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

  • Sep 16, 20269.2x their median

    Kane Parsons, the director of Backrooms, is back at the Valve's office. He previously stated that the Portal games heavily influenced some of the ideas in the production, and making a movie based on them is his ultimate dream project. He is still only 21 years old. https://t.co/a4ZUJqe8bW

    24K1.1K86115434K viewsView on X
  • Sep 3, 20266.6x their median

    Former Valve developer, project lead and Left 4 Dead series writer Chet Faliszek shared on his personal YouTube channel that almost 20 years ago, they intentionally leaked the Left 4 Dead 2 trailer because the ESRB ratings board wouldn't allow its release and kept forcing them to tone it down and make changes.

    18K6686120508K viewsView on X
  • Sep 2, 20265.9x their median

    Nexus Mods has acquired SteamDB. The site’s creator @thexpaw is stepping away after burning out from years of running it. He looked for a team he could hand the project over to, but never found anyone he fully trusted. SteamDB will stay SteamDB for now, but over time, Nexus Mods will be slowly integrated in the site.

    14K6571.1K7862.9M viewsView on X
  • Sep 23, 20264.7x their median

    Scott Kuehn (@SeismicWhite), a senior-level designer and environment artist at id Software who worked on the DOOM franchise, shared his work-in-progress 4v4 map for Deadlock called Harbor. The map features two lanes with a central lighthouse that illuminates the vault, and after one minute when the ethereal hand descends, it opens to reveal a large number of souls to claim and fight over.

    12K7154825252K viewsView on X
  • Aug 16, 20264.2x their median

    It looks like Valve hired @KirillSenzu, a Deadlock modmaker, who did fan recreations of Yamato's and Holiday's models. https://t.co/dVFKuLLOUs

    11K4284345294K viewsView on X
  • Aug 31, 20264.0x their median

    the number of people praising dlss 5 on my twitter timeline is an insane reality check on how many people are lacking any visual understanding of how artstyles work and want to eat shit of their own free will

    10K91616016177K viewsView on X
  • Aug 30, 20263.7x their median

    Valve, please, don't kill me. Valve, please, spare our lives. Valve, please, don't send ninjas. Valve, please, don't annihilate my house. Here's everything known about the Valve's Teraleak ⬇️ https://t.co/wLAsK1jb5K

    9.9K278557764K viewsView on X
  • Aug 24, 20263.3x their median

    steam frame waiters lack the passion of deadlock enjoyers https://t.co/g6qbO2bTp3

    8.8K308317157K viewsView on X
  • Aug 8, 20262.4x their median

    Redstone chains from Minecraft in Deadlock, made by @jetsetworm. Can't wait to see what people would be able to do with the official mod tools... https://t.co/UzsbaePtG5

    6.3K2523139489K viewsView on X
  • Sep 23, 20262.4x their median

    First preview of Chicken Pets in CS2 by @jesuspivo https://t.co/0WuW2umofp

    6.3K12212771653K 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 2.8K interactions against 260K followers, an engagement rate of 1.09%. Measured over 35 original posts, its engagement rate beats 95% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 116K times each, and 2.42% of those impressions turn into an interaction. That is about 44.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 80% carry an image or video, 31% are part of a thread and 14% link out. The account's strongest tracked post pulled 26K interactions, about 9.2x its own typical post.

What is ‎Gabe Follower's engagement rate on X?
‎Gabe Follower (@gabefollower) has an engagement rate of 1.09%, based on the median interactions across 35 original posts from the last 30 days against 259,797 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.09%, ‎Gabe Follower sits above the 75th 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 @gabefollower have real engagement?
Its engagement rate beats 95% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the top 10% 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 @gabefollower post?
Most posts go out around 21:00 UTC, and Wednesday is its busiest day, at roughly 1.83 posts per day across the measured window.

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