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Max Kupriianov engagement report

@its_xlab - 204K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Per follower
0.004%
of 204K followers
Per impression
0.546%
1.5K views on a typical post
Reach
0.72%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.6/day
active 37% of days
Peak time
06:00 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 8 interactions against 204K followers, an engagement rate of 0.004%. Posts are seen about 1.5K times each, and 0.546% of those impressions turn into an interaction. That is about 0.717% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 06:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% link out. The account's strongest tracked post pulled 1.8K interactions, about 231x its own typical post. 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 7, 2026.

Where this sits in the catalog

At 0.004%, Max Kupriianov sits above the 10th percentile of the 157,632 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 157,632 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,982 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 percentile83.1%

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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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 link20% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 20% 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 121 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

  • Aug 15, 2026231x their median

    you can tell how inexperienced an engineer is by the degree in which they believe in autoscaling.

    1.7K559338440K viewsView on X
  • Aug 8, 2026207x their median

    iOS 27 Beta 4, succesfull jailbreak 🫣 https://t.co/YviFRxqqwe

    1.6K69276137K viewsView on X
  • Sep 25, 2026149x their median

    Get a free VM from your terminal or from @muse. Zero sign-up. One command. ssh https://t.co/FirFUelvdb https://t.co/T3WqIOe3pJ

    1.0K783935353K viewsView on X
  • Aug 8, 202671x their median

    Cloudflare lost my file from R2 yesterday, I cannot believe this. I've moved every single point of failure out of CF already except R2, because it's so simple and HAD ONE JOB S3 might be treated like a database, R2 is definitely not. https://t.co/RybrgF6lAl

    5181228687K viewsView on X
  • Aug 20, 202647x their median

    I preordered my first ESP32-s31 module yesterday, we’re entering a new era https://t.co/TXtBTxWJGS

    32119267170K viewsView on X
  • Jul 20, 202628x their median

    Grilled, vaporized, or blown to pieces, how do you want your aliens served? 👨‍🍳 Serious Sam: Shatterverse is coming soon to PC, PS5, and Xbox Series. https://t.co/rQyNzX7SHh

    195167220K viewsView on X
  • Aug 21, 202626x their median

    Introducing the Aikido Box errrrr... Machine | Signature Edition ✨ Our GPU servers, that run continuous penetration tests on your critical applications, fully within your premises. For regulated industries. https://t.co/7iYzIZY7yu

    1631128620K viewsView on X
  • Sep 2, 202615x their median

    agent in a durable object, imagine https://t.co/9OWMHB4bV4

    1093727.6K viewsView on X
  • Jul 23, 202610x their median

    ...wait someone created a lounge in the terminal called ssh https://t.co/JxpgZPuSc4 https://t.co/LbM2whiJ7o

    772226.6K viewsView on X
  • Jul 24, 20262.4x their median

    https://t.co/HvsvcFDeVc by @mapiorowski works so well on built-in X app browser thanks to Microterm https://t.co/S2xlvgvHyn

    133305.0K 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 8 interactions against 204K followers, an engagement rate of 0.004%. Posts are seen about 1.5K times each, and 0.546% of those impressions turn into an interaction. That is about 0.717% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 06:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% link out. The account's strongest tracked post pulled 1.8K interactions, about 231x its own typical post. 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 Kupriianov's engagement rate on X?
Max Kupriianov (@its_xlab) has an engagement rate of 0.004%, based on the median interactions across 5 original posts from the last 30 days against 204,343 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Max Kupriianov sits above the 10th percentile of the 157,632 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 @its_xlab have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @its_xlab post?
Most posts go out around 06:00 UTC, and Friday is its busiest day, at roughly 0.6 posts per day across the measured window.

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