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Max Gonzalez engagement report

@GassyMexican - 278K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Per follower
0.017%
of 278K followers
Per impression
0.583%
8.1K views on a typical post
Reach
2.89%
of its followers see a post
Typical post
47
interactions (median)
Saved
0.025%
2 bookmarks on a typical post
Posting rate
0.23/day
active 17% of days
Peak time
18:00 UTC
Friday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 47 interactions against 278K followers, an engagement rate of 0.017%. Posts are seen about 8.1K times each, and 0.583% of those impressions turn into an interaction. That is about 2.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.5K interactions, about 31x its own typical post. Recurring topics include #geforcenow, #gfnpartner, #gfnthursday. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #geforcenow, #gfnpartner, #gfnthursday.

Where this sits in the catalog

At 0.017%, Max Gonzalez sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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 227 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

  • Oct 6, 202631x their median

    New video dropped today on the old Youtube. Pretty important. Very Serious. https://t.co/p2hoJJTRSg

    1.4K3816198K viewsView on X
  • Jul 19, 202630x their median

    I want a streamer university with 30+ year olds that are taking streaming seriously and not looking to use you as a stepping ladder lol

    1.3K395022221K viewsView on X
  • Jul 4, 202615x their median

    Celebrate America's 250th with the July 4th Update for Holdfast: American Revolution! Complete with Holdfast's iconic proximity voice chat 🇺🇸🦅 Join us on https://t.co/IRM7dhhXQA 🎆 #America250 https://t.co/z3zJcdWvAS

    29339815699K viewsView on X
  • Jul 6, 202611x their median

    VIVA MEXICO! 🇲🇽 ..ahem….i mean let’s go England! https://t.co/Rscg9Ljlia

    477813016K viewsView on X
  • Jul 7, 20264.9x their median

    USA has played like absolute shit. They play with no urgency and deserve to lose. Such a shame.

    21839015K viewsView on X
  • Jul 6, 20264.8x their median

    This feels familiar…🤔 https://t.co/bwfDqKMQn1

    209104112K viewsView on X
  • Jul 5, 20263.9x their median

    Excited to watch the matchup of the whole World Cup today. Beans on Toast 🏴󠁧󠁢󠁥󠁮󠁧󠁿 vs Beans on Tortilla🇲🇽

    1641010013K viewsView on X
  • May 31, 20263.5x their median

    "Some people are very big in the streaming world because they've faked their way to the top... very clever people" Kick CEO admits that some streamers have botted their way to the top and it continues to be a problem https://t.co/8MzYyC1xU4

    135815794K viewsView on X
  • Jul 9, 20262.9x their median

    The Duo back at it again…🤝👀 @SeaNanners https://t.co/X3wZXE4H17

    1296009.8K viewsView on X
  • Jul 7, 20262.8x their median

    I ain’t gonna lie I was SWEATIN’ with this one lol. 😂 #prophunt #gassymexican #mecchachameleon https://t.co/Wgmn3v4DPr

    1256009.7K 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.

Recurring topics

#geforcenow#gfnpartner#gfnthursday

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 47 interactions against 278K followers, an engagement rate of 0.017%. Posts are seen about 8.1K times each, and 0.583% of those impressions turn into an interaction. That is about 2.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.5K interactions, about 31x its own typical post. Recurring topics include #geforcenow, #gfnpartner, #gfnthursday. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Max Gonzalez's engagement rate on X?
Max Gonzalez (@GassyMexican) has an engagement rate of 0.017%, based on the median interactions across 5 original posts from the last 30 days against 278,410 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Max Gonzalez sits above the 10th percentile of the 204,956 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 @GassyMexican have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @GassyMexican post?
Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 0.23 posts per day across the measured window.

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