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Janusz Piechociński engagement report

@Piechocinski - 221K followers on X

Measured over 77 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 221K followers
Per impression
0.097%
2.1K views on a typical post
Reach
0.94%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.67/day
active 7% of days
Peak time
07:00 UTC
Saturday

A typical post picks up 2 interactions against 221K followers, an engagement rate of 0.001%. Measured over 77 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.1K times each, and 0.097% of those impressions turn into an interaction. That is about 0.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 77 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 327 interactions, about 164x its own typical post. Recurring topics include #hegelmannhub, #januszpiechociński, #logichainexpo.

Measured over 77 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #hegelmannhub, #januszpiechociński, #logichainexpo.

Compared with accounts its own size

Janusz Piechociński's engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 6% 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 0.001%, Janusz Piechociński sits below the 10th percentile of the 205,048 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 205,048 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 07:00 UTC, and Saturday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video18% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 18% 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 269 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 16, 2025164x their median

    Zapraszam na mojego instagrama : https://t.co/pBGXAcnOTX https://t.co/wvmhWuMNAz

    30013140108K viewsView on X
  • Sep 12, 202654x their median

    Jedna trzecia z 220 mld zł budżetu NFZ na 2026 r. pójdzie na ustawowe podwyżki płac. Wpływy ze składki zdrowotnej już nie wystarczają na pokrycie wydatków.

    84111205.3K viewsView on X
  • Oct 2, 202633x their median

    Miauczur dalej czujnie ogląda mecz

    631204.9K viewsView on X
  • Sep 12, 202622x their median

    Kilka kieliszków wypitych w nastoletnim wieku to nie tylko chwilowy ból głowy. Najnowsze badania pokazują, że epizody intensywnego picia w okresie dojrzewania pozostawiają w mózgu trwały ślad, modyfikując strukturę komórkową w obszarach odpowiadających za pamięć i emocje – ze skutkami odczuwalnymi jeszcze w dorosłości.

    333704.8K viewsView on X
  • Oct 2, 202617x their median

    Miauczur wpatrzony w ekran -co oznacza jedno WYGRAMY!!!

    311014.1K viewsView on X
  • Sep 12, 202615x their median

    Od listopada firmę założysz tylko online. Koniec papierowych wniosków do CEIDG

    291002.2K viewsView on X
  • Oct 2, 202611x their median

    Minister wojny USA Pete Hegseth zapowiada głębokie reformy w wojsku i powrót dziesiątek tysięcy żołnierzy do USA. Ogłosił również utworzenie nowego dowództwa ds. sztucznej inteligencji i zwiększenie roli religii w siłach zbrojnych.

    161504.7K viewsView on X
  • Sep 12, 20267.0x their median

    Powiaty są za słabe, by nadzorować szpitale – powinny robić to województwa, zmniejszając liczbę placówek ostrodyżurowych do 200–250 jednostek. To propozycje prof. Piotra Czauderny

    101302.9K viewsView on X
  • Sep 12, 20265.5x their median

    W Stanach Zjednoczonych liczba zgonów z powodu nowotworów powiązanych ze spożywaniem alkoholu podwoiła się na przestrzeni trzech dekad. Przypadki te najczęściej wiązały się z rakiem jelita grubego u mężczyzn oraz rakiem piersi u kobiet.

    50602.9K viewsView on X
  • Sep 12, 20265.0x their median

    Od września we Francji obowiązuje nowy podatek wymierzony w ultra fast fashion. Celem przepisów jest ograniczenie ekspansji chińskich platform sprzedażowych, takich jak Shein, Temu i AliExpress.

    100001.3K 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

#hegelmannhub#januszpiechociński#logichainexpo

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 2 interactions against 221K followers, an engagement rate of 0.001%. Measured over 77 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.1K times each, and 0.097% of those impressions turn into an interaction. That is about 0.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 77 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 327 interactions, about 164x its own typical post. Recurring topics include #hegelmannhub, #januszpiechociński, #logichainexpo.

What is Janusz Piechociński's engagement rate on X?
Janusz Piechociński (@Piechocinski) has an engagement rate of 0.001%, based on the median interactions across 77 original posts from the last 30 days against 221,244 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Janusz Piechociński sits below the 10th percentile of the 205,048 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 @Piechocinski have real engagement?
Its engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size 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 @Piechocinski post?
Most posts go out around 07:00 UTC, and Saturday is its busiest day, at roughly 2.67 posts per day across the measured window.

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