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Mikdat Kadıoğlu engagement report

@Mikdatca - 222K followers on X

Measured over 7 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Per follower
0.054%
of 222K followers
Per impression
1.09%
11K views on a typical post
Reach
4.93%
of its followers see a post
Typical post
119
interactions (median)
Saved
0.009%
1 bookmarks on a typical post
Posting rate
2.8/day
active 47% of days
Peak time
08:00 UTC
Sunday

Early reading. We have captured 7 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 119 interactions against 222K followers, an engagement rate of 0.054%. Posts are seen about 11K times each, and 1.09% of those impressions turn into an interaction. That is about 4.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 29% link out. The account's strongest tracked post pulled 575 interactions, about 4.8x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 2, 2026. Recurring tag: #teknofestgüneydoğu.

Where this sits in the catalog

At 0.054%, Mikdat Kadıoğlu sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 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 08:00 UTC, and Sunday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link29% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 29% 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 437 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

  • Sep 10, 20264.8x their median

    Ooooo bizim ayı davetsiz misafir olarak gece gelip bahcemizi yine dümdüz etmiş. Sanırsın mübarek fasulye ve mısır ile büyümüş. Ayı işte 😬 https://t.co/lhTUT7tqNC

    518847217K viewsView on X
  • Sep 7, 20263.5x their median

    Üç hafta önce MIT, yapay zekanın yükseköğretime etkilerine ilişkin önemli bir çalışma yayımladı. Çalışmada üniversitelere yönelik 50’yi aşkın somut öneri yer alıyor. MIT’nin 50’yi aşkın önerisinin tamamını MEF Üniversitesi’nde yürüttüğümüz çalışmalarla karşılaştırdığımızda, hemen hemen hepsini ya halihazırda uyguladığımızı ya da Yapay Zeka Politikamız kapsamında ele aldığımızı gördük. Aşağıda eklediğim çalışmada karşılaştırmayı 13 başlık altında sunuyorum. Karşılaştırmayı kısa ve anlaşılır tutmak için, üniversite genelini ilgilendiren kritik konuları öne çıkardık ve birbiriyle ilişkili önerileri birleştirdik. Hazırladığımız bu karşılaştırmayı bir üst yazı ile MIT’nin çalışmasını yapan grup başkanına da dün gönderdim. Dünyanın öncü üniversiteleriyle aynı yönde ilerlemek, bazı başlıklarda ise onlardan daha önce harekete geçmiş olmak benim için büyük bir gurur kaynağı. Çok hızlı bir dönüşümün içindeyiz. Yapay Zeka Yetkinliğini 2026–2027 akademik yılından itibaren yeni kayıt olan lisans öğrencilerimiz için mezuniyet koşulu haline getirerek bu dönüşümü yalnızca birkaç ders veya projeyle sınırlamadık; eğitim sistemimizin ve üniversite kültürümüzün kalıcı bir parçası yaptık. Böylece MEF Üniversitesi, değişimi geriden takip eden değil, ona yön veren üniversiteler arasında yer almaya devam ediyor. @MEFuniversitesi https://t.co/Xdq1z75K8V

    352630581K viewsView on X
  • Feb 6, 20263.5x their median

    "Afetlere Dirençli Kentler: Yerel Yönetimler İçin Afet Politikaları" KİTABINI ÜÇRETSİZ OLARAK İNDİRMEK İÇİN TIKLAYINIZ!✋ İSTANBUL – Marmara Belediyeler Birliği (MBB), 6 Şubat depremlerinin 3. yılında yerel yönetimlerin afet politikalarına yön verecek stratejik bir eseri MBB Kültür Yayınları’ndan yayınladı. Prof. Dr. Mikdat Kadıoğlu tarafından kaleme alınan "Afetlere Dirençli Kentler" kitabı afet yönetiminde müdahale yerine "risk azaltma" dönemini başlatmayı hedefliyor. https://t.co/e015PQV4jl

    3286898108K viewsView on X
  • Sep 29, 20262.0x their median

    Bu gun surekli meteorolojik uyari verenler var. Bu mavi yerler disindakilere inanma varandas https://t.co/wGyEfm9Dwx

    2101912017K viewsView on X
  • Sep 27, 2026

    Mustafa Hocanın İstanbulun trafiğini çözmek için söylemediği: Yallah köyünüze, bu şehirde yer mer kalmadı!.. 😛 https://t.co/M5vidSYwjO

    10368211K viewsView on X
  • Sep 27, 2026

    Radar (20:00): Yağış kuşağı Afyon–Eskişehir–Konya kuzeyi hattında yoğun (sarı çekirdekler) ve kuzeydoğuya, Ankara'ya doğru ilerliyor. Ankara'nın hemen güneyinde ve Tuz Gölü çevresinde yıldırım işaretleri var. Ankara skew-T (955 m, 20:00): •LCL ≈ 1018 m, yani bulut tabanı yerden yalnızca ~60 m yukarıda. Hava neredeyse doymuş. •2000–6000 m arası sıcaklık ile çiy noktası üst üste. Bu, derin ve nemli bir bulut katmanı demek (nimbostratus tipi, içine gömülü konvektif hücreler). •Tcon 32 °C, akşam saatinde bu değere ulaşılamaz. Yağışı ısınma değil, sinoptik zorlama (oluk/cephe) getiriyor. •Profil nemli adyabata yakın, kararsızlık zayıf-orta düzeyde. Kısa süreli kuvvetli sağanak ve yer yer gökgürültüsü beklenir. Donma seviyesi yaklaşık 3,5 km olduğu için dolu olasılığı düşük. •Rüzgâr yerde zayıf, yükseklikle batılıya dönüp kuvvetleniyor. 200 hPa'da jet etkisi görülüyor.

    9811807.6K viewsView on X
  • Sep 27, 2026

    Kadı Mikdat'tan Payitaht Kadısına! 📣 https://t.co/hTPRj9FNe6

    417406.8K viewsView on X
  • Sep 30, 2026

    🌧️Sakarya'ya tek günde eylül ayı toplamının 2,5-3 katı yağış düştü 📍Adapazarı’nda metrekareye düşen 133,6 kilogram yağış, 1951'den bu yana yapılan ölçümlerde kaydedilen en yüksek miktar oldu ❝Küresel ısınmadaki her 1 derecelik artışın en şiddetli günlük yağışları yaklaşık yüzde 7 güçlendirmesi bekleniyor❞ #Yeşilhat🌱 #ÖzelHaber📝 https://t.co/ulaYpaAzao

    64011.9K 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

#teknofestgüneydoğu

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 119 interactions against 222K followers, an engagement rate of 0.054%. Posts are seen about 11K times each, and 1.09% of those impressions turn into an interaction. That is about 4.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 29% link out. The account's strongest tracked post pulled 575 interactions, about 4.8x its own typical post. Only 7 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 Mikdat Kadıoğlu's engagement rate on X?
Mikdat Kadıoğlu (@Mikdatca) has an engagement rate of 0.054%, based on the median interactions across 7 original posts from the last 30 days against 222,327 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.054%, Mikdat Kadıoğlu sits above the 25th percentile of the 204,956 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 @Mikdatca have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Mikdatca post?
Most posts go out around 08:00 UTC, and Sunday is its busiest day, at roughly 2.8 posts per day across the measured window.

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