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Max Lugavere engagement report

@maxlugavere - 1.2M followers on X

Measured over 43 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.011%
of 1.2M followers
Per impression
0.331%
40K views on a typical post
Reach
3.20%
of its followers see a post
Typical post
131
interactions (median)
Saved
0.02%
8 bookmarks on a typical post
Posting rate
3.1/day
active 97% of days
Peak time
16:00 UTC
Friday

A typical post picks up 131 interactions against 1.2M followers, an engagement rate of 0.011%. Measured over 43 original posts, its engagement rate beats 34% of 20,444 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 40K times each, and 0.331% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 49% carry an image or video, 19% are part of a thread and 7% link out. The account's strongest tracked post pulled 45K interactions, about 340x its own typical post.

Measured over 43 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Max Lugavere's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 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 23% 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 0.011%, Max Lugavere sits above the 10th percentile of the 204,491 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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 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 video49% of posts+111%+108% to +115%34K
Outbound link7% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 49% 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.
  • 7% 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 312 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 11, 2026340x their median

    I've seen many people saying the tiger at Yorkshire Wildlife Park should have been shot when the man entered its enclosure. I couldn't disagree more. From the footage I've seen, it looks extremely difficult to even get into that enclosure in the first place. And from what I've heard, the staff did an incredible job reacting as quickly as they did, while showing restraint and avoiding killing an innocent tiger. These are apex predators. They are extremely dangerous animals that will naturally attack humans when confronted in their territory. Hopefully this magnificent animal isn't put down in the aftermath of this tragedy. The tiger did nothing wrong. https://t.co/0yVvBgf9MA

    38K2.9K3.3K6247.1M viewsView on X
  • Sep 13, 2026144x their median

    Playing video games was associated with a decreased risk of dementia and better cognitive function and brain structure in a study of ~500k people. https://t.co/zQ3XiNYhh4

    17K1.7K155191884K viewsView on X
  • Jul 30, 2026138x their median

    1900 calories, 256 grams protein. 0 cooking, 0 clean up. https://t.co/vIvxchUfEx

    17K3727154202.5M viewsView on X
  • Sep 17, 2026134x their median

    An afternoon nap can restore brain neuroplasticity. https://t.co/oo6TrtGOoZ

    15K1.9K1564211.0M viewsView on X
  • Oct 2, 2026130x their median

    it’s honestly insane how much of the modern tech tree has been unlocked because of a single guy thanks to Elon we have - online payments - mass market electric cars - batteries and grid-scale energy storage - self driving cars and robotaxis - humanoid robots - advanced brain computer interfaces - next generation tunneling - reusable rockets -global satellite internet - basically the modern space industry - Moon and Mars transportation - orbital compute and space data centers - frontier AI - gigantic AI supercomputers - physical world AI and the wildest part is that these branches are now starting to merge there is a very real chance that this one guy ends up being the reason humanity reaches Kardashev II genuinely the man of the millennium

    15K1.4K618178834K viewsView on X
  • Sep 23, 202699x their median

    The best snack for fat loss is apples. They rank near the top of the satiety index meaning. They're 86% water & under 100 calories. The fiber in apples slows digestion, feeds good gut bacteria, and keeps hunger hormones in check. Apples are the best snack when cutting. Eat them.

    12K48028158525K viewsView on X
  • Sep 22, 202697x their median

    I would 100% be reporting this clown to management. This is dangerous, not effective, and takes up nearly every plate in the gym. Congrats, you look like a jackass and everyone hates you. Do not do this, obviously. https://t.co/ppRaesvYZg

    11K2281.4K2569.7M viewsView on X
  • Sep 24, 202679x their median

    Took an uber to the gym this morning. Naturally, we spoke about politics. The driver said, “This administration is violating the constitution.” I said cool, which part of the constitution? He said he didn’t know offhand. While I’m not here to say this administration isn’t violating the constitution, the fact that people say things like this with zero knowledge about it…that’s fascinating.

    9.8K24229313241K viewsView on X
  • Sep 17, 202672x their median

    Owning a cat is linked to twice the odds of schizophrenia. https://t.co/lcMrJTsOBx

    8.0K5884224381.2M viewsView on X
  • Oct 18, 202659x their median

    When you lose your appetite for food you lose your appetite for life. People on GLP-1 have this absence of gusto in them that makes them poor companions. They are almost as unpleasant to be with as longevity-health optimizers.

    7.1K43178134444K 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 131 interactions against 1.2M followers, an engagement rate of 0.011%. Measured over 43 original posts, its engagement rate beats 34% of 20,444 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 40K times each, and 0.331% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 49% carry an image or video, 19% are part of a thread and 7% link out. The account's strongest tracked post pulled 45K interactions, about 340x its own typical post.

What is Max Lugavere's engagement rate on X?
Max Lugavere (@maxlugavere) has an engagement rate of 0.011%, based on the median interactions across 43 original posts from the last 30 days against 1,235,908 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, Max Lugavere sits above the 10th percentile of the 204,491 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 @maxlugavere have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 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 @maxlugavere post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 3.1 posts per day across the measured window.

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