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By Nobadi engagement report

@tweetyagmuru - 81K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Bottom 10% for its size
Per follower
0.003%
of 81K followers
Per impression
0.406%
492 views on a typical post
Reach
0.61%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 23% of days
Peak time
05:00 UTC
Monday

A typical post picks up 2 interactions against 81K followers, an engagement rate of 0.003%. Measured over 40 original posts, its engagement rate beats 7% of 6,874 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 492 times each, and 0.406% of those impressions turn into an interaction. That is about 0.607% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 9 interactions, about 4.5x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on September 5, 2026.

Compared with accounts its own size

By Nobadi's engagement rate beats 7% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 4 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 20% 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 0.003%, By Nobadi sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 05:00 UTC, and Monday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video3% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 3% 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 147 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

  • Sep 3, 20264.5x their median

    •• Öyle bir sis çöktü ki artık kimse ne önünü görebiliyor ne arkasından ne sağından nede solundan emin değil.. Ne demiş adam; öyle kalakaldık sisin ortasında..

    9000563 viewsView on X
  • Aug 29, 20263.5x their median

    •• Mersin’den Günaydın 🙋‍♂️

    7000485 viewsView on X
  • Sep 4, 20263.0x their median

    •• Neyse şunun şurasında ne kaldı ki sona. Yıllar ay, ay lar hafta, haftalar gün gibi gelmiyor mu size de.. Daha nekadar kaldı ki?

    5100457 viewsView on X
  • Sep 3, 20262.5x their median

    •• Kendinden nekadar verirsen o kadar eksilirsin.. Herşey kararında olmalı ölçülü olmalı..

    5000510 viewsView on X
  • Aug 10, 20262.5x their median

    •• Şehit katilini affetmek kimsenin haddine değildir. Şehitin kanının, gazinin ve yakınlarının ahı çok ağırdır.. Kimse taşıyamaz.. Demedi demeyin..

    5000563 viewsView on X
  • Sep 4, 20262.0x their median

    •• Karanlığın sessizliği çöktü..

    4000468 viewsView on X
  • Sep 3, 20262.0x their median

    •• Bazılarından o kadar az kaldı ki ! Amaçsız kötü bir kalabalıkta ne görülüyor ne de duyuluyor.. Keşke bazıları bazılarını bulabilse birlik olsa hayata karşı..

    4000643 viewsView on X
  • Sep 3, 20262.0x their median

    •• Eskiden insanların iyi veya kötü bir karakteri kendi doğruları çizgileri vardı.. Şimdi herşey kopyala yapıştır..

    4000655 viewsView on X
  • Aug 10, 20262.0x their median

    •• Ö.Ö kendine verilen rolü oynadı aynı k.k gibi.. K.k söylenenleri nasıl takmıyorsa o da takmayacak halk nasıl olsa 2 güne unutup gidiyor. Kimler neler yaptı hepsini unutmadı mı? Chp ve yp ile birlikte ümitlenenler umutlananlar da son durumla birlikte havlu attı.. Şimdi 2-3 aya yeni bir aktör çıkartacaklar bu seferde onunla oyalanacak millet. Bekleyip görelim.. ..

    3100542 viewsView on X
  • Sep 5, 20261.5x their median

    •• Benim için hep aynı da sizin için bir haftasonu.. Yani sizlere gzl bir haftasonu diliyorum..

    3000455 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 2 interactions against 81K followers, an engagement rate of 0.003%. Measured over 40 original posts, its engagement rate beats 7% of 6,874 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 492 times each, and 0.406% of those impressions turn into an interaction. That is about 0.607% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 9 interactions, about 4.5x its own typical post.

What is By Nobadi's engagement rate on X?
By Nobadi (@tweetyagmuru) has an engagement rate of 0.003%, based on the median interactions across 40 original posts from the last 30 days against 81,097 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, By Nobadi sits above the 10th percentile of the 66,258 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 @tweetyagmuru have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (6,874 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 @tweetyagmuru post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

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