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Kornelij engagement report

@Kornelij - 72K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 14, 2026.

Engagement

Per follower
0.013%
of 72K followers
Per impression
0.64%
1.4K views on a typical post
Reach
1.96%
of its followers see a post
Typical post
9
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.07/day
active 3% of days
Peak time
10:00 UTC
Wednesday

Early reading. We have captured 2 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 9 interactions against 72K followers, an engagement rate of 0.013%. Posts are seen about 1.4K times each, and 0.64% of those impressions turn into an interaction. That is about 1.96% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 52K interactions, about 5744x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on September 14, 2026.

Where this sits in the catalog

At 0.013%, Kornelij sits above the 10th percentile of the 205,374 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 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 50% 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 58 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Sep 30, 20255744x their median

    A new document reveals the Israeli government is paying a cohort of 14-18 social media influencers between $6,100 and $7,300 per post https://t.co/jtiMMzJQGD

    34K13K2.9K2.4K7.5M viewsView on X
  • Mar 10, 2026362x their median

    BREAKING: powerful iPhone hacking tools used by Chinese criminals originated from US defense giant L3 Harris. The $LHX zero-click exploits went to Russian spies too. Unbelievable harm to our collective security. Scoop by @lorenzofb, here's why this matters 1/

    2.3K8283063271K viewsView on X
  • Oct 3, 202571x their median

    Now tell me about European values, principles, human rights and democracy. https://t.co/FoXqfXErTY

    45598642339K viewsView on X
  • May 28, 202656x their median

    Robodogs are in the army now #Armenia https://t.co/FQaoclrCZY

    446429629K viewsView on X
  • Jun 11, 202555x their median

    NVIDIA is collaborating with PM @NikolPashinyan of Armenia and @FirebirdCloudAI to deploy thousands of Blackwell GPUs — advancing AI computing across the Caucasus region. This partnership will unlock new opportunities for innovation and economic growth for the country. Learn more: https://t.co/U3kNxkEN62

    34692253438K viewsView on X
  • Apr 13, 202621x their median

    https://t.co/63hL4BhwaS confirms hackers accessed customers’ data https://t.co/TFcf3lepe2

    1155391553K viewsView on X
  • Jun 24, 202511x their median

    Disappointed by @GreeceArmenia's refusal of our family's visa, citing "unreliable information regarding our stay." Given our 2 previous cool visits to Greece and recent travels to the EU states. We're trying to understand the real reason for this decision.

    79312419K viewsView on X
  • Jun 2, 20266.4x their median

    In out latest disinformation update: Storm-1516 operators are now routinely using Facebook ads to promote disinformation campaigns https://t.co/3Dwp6e86hV

    3617234.3K viewsView on X
  • Jun 7, 20265.6x their median

    Armenia elections, participation at 11:00 - 14.48% To compare: ▫️2017 - 344,716 (13.31%) ▫️2018 - 201,252 (7.75%) ▫️2021 - 316,289 (12.21%)

    442318.0K viewsView on X
  • Jun 7, 20265.4x their median

    One of the strangest things in nature is Dmitry Medvedev. He is outside of any ecosystem, even the Kremlin's. I just don't understand the purpose of his existence.

    345912.5K 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 9 interactions against 72K followers, an engagement rate of 0.013%. Posts are seen about 1.4K times each, and 0.64% of those impressions turn into an interaction. That is about 1.96% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 52K interactions, about 5744x its own typical post. Only 2 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 Kornelij's engagement rate on X?
Kornelij (@Kornelij) has an engagement rate of 0.013%, based on the median interactions across 2 original posts from the last 30 days against 71,723 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Kornelij sits above the 10th percentile of the 205,374 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 @Kornelij have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Kornelij post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 0.07 posts per day across the measured window.

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