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GamersNexus engagement report

@GamersNexus - 945K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.089%
of 945K followers
Per impression
1.65%
50K views on a typical post
Reach
5.39%
of its followers see a post
Typical post
827
interactions (median)
Saved
0.065%
32 bookmarks on a typical post
Posting rate
0.27/day
active 23% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 827 interactions against 945K followers, an engagement rate of 0.089%. Measured over 8 original posts, its engagement rate beats 71% 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 50K times each, and 1.65% of those impressions turn into an interaction. That is about 5.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 88% link out. The account's strongest tracked post pulled 14K interactions, about 17x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

GamersNexus's engagement rate beats 71% of the tracked X accounts closest to it in follower count (15,519 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 63% 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 0.089%, GamersNexus sits above the 25th percentile of the 156,148 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 156,148 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,016 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 percentile83.3%

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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video0% of posts+111%+108% to +115%34K
Outbound link88% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 88% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 96 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

  • Jul 23, 202617x their median

    Update: We are working on a follow-up to the LG story and have some disturbing findings re: LG's products. It will take us a while to parse everything and we have involved multiple security researchers, lawyers (working on reading around 40,000 words of LG agreements that are, generally, terrifying in scope), and network experts, but will have an update for you all as soon as we can finalize collecting all of the information and parsing. There is a lot for us to crawl through (and I'm also already up to thousands of dollars in LG product purchases, but each one peels back another layer of the enshittified onion). This will be a fairly large research piece and will take time, but is also the worst I've seen so far in this 'genre' of product and agreements.

    13K1.1K19477520K viewsView on X
  • Jul 9, 202611x their median

    Pay $50/month for 2 active logins. Use my 2 sessions on my own 2 computers in different rooms so that I can move between my computers. Get kicked out of account and password forcibly changed because yOuR aCcOuNt ApPeArS tO bE In UsE bY MoRe ThAn OnE PeRsOn. Fuck you, @Adobe. https://t.co/dFjpUI511o

    8.2K35726614328K viewsView on X
  • Sep 6, 20267.3x their median

    216 million spy TVs, ACR, vulnerabilities, and the LG Smart TV problem: https://t.co/09eyT0FlcQ

    4.6K1.1K156229504K viewsView on X
  • Jul 6, 20263.9x their median

    Big success today. Not necessarily for a video, kind of boring business software stuff, but: Only 2 software suites keep me on Windows, at this point. Adobe and QuickBooks. I've managed to migrate off of QuickBooks, which has killed its desktop software to go cloud only. Fuck that. I was able to find Linux-compatible bookkeeping software that actually works way better than QuickBooks. Much faster and QB was forcing users to go online (no doubt to scrape for AI models), so this is local, fully self-owned data, and no cost. Took all goddamn day, but man was the frustration worth it. Definitely not an easy migration process. I ended up trying several tools - Beancount with FAVA, hledger, Manager, GnuCash, and some others. Have narrowed to two, but the point is that there is a promising path forward and I now only have one set of software keeping me on Windows, which is Adobe. There are solutions for that as well. It's a little more painful since the entire company uses Adobe and, for that reason, we don't have an immediate need to move and there's a lot more inertia. I will start experimenting with alternatives personally though and we'll see if we can roll it out over time. Definitely promising. I fucking hate Windows. The amount of spying is unbelievable at this point, and the pain to find alternatives to all my old tools is at this point lower than the concerns Microsoft introduces.

    2.9K15512711119K viewsView on X
  • Jul 7, 20263.7x their median

    Alternative title: Thieves Are Now Targeting Thieves https://t.co/hrEDTZpe6j

    2.8K19453757K viewsView on X
  • Jun 30, 20263.3x their median

    https://t.co/0iZJ2f0QCK

    2.5K18263455K viewsView on X
  • Sep 12, 20263.1x their median

    LG's bullshit response: https://t.co/ClwUU1SEef

    2.1K304612873K viewsView on X
  • Aug 5, 20262.4x their median

    It's time to poison AI: https://t.co/8EwLYwl1gX

    1.7K1935110133K viewsView on X
  • Jul 2, 20262.0x their median

    That is one hell of a selling point. TWO cores?! https://t.co/aATuhkTBE6

    1.6K3168454K viewsView on X
  • Jul 17, 20262.0x their median

    LG's adware monitors and definitely-not-wiretapping TVs: https://t.co/r78TN5NaiZ

    1.3K2368869194K 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 827 interactions against 945K followers, an engagement rate of 0.089%. Measured over 8 original posts, its engagement rate beats 71% 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 50K times each, and 1.65% of those impressions turn into an interaction. That is about 5.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 88% link out. The account's strongest tracked post pulled 14K interactions, about 17x its own typical post.

What is GamersNexus's engagement rate on X?
GamersNexus (@GamersNexus) has an engagement rate of 0.089%, based on the median interactions across 8 original posts from the last 30 days against 945,212 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.089%, GamersNexus sits above the 25th percentile of the 156,148 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 @GamersNexus have real engagement?
Its engagement rate beats 71% 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 @GamersNexus post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 0.27 posts per day across the measured window.

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