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المُهندس زياد engagement report

@ii7_8 - 298K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Middle of its size range
Per follower
0.207%
of 298K followers
Per impression
2.53%
24K views on a typical post
Reach
8.19%
of its followers see a post
Typical post
616
interactions (median)
Saved
1.22%
296 bookmarks on a typical post
Posting rate
1.97/day
active 20% of days
Peak time
19:00 UTC
Wednesday

A typical post picks up 616 interactions against 298K followers, an engagement rate of 0.207%. Measured over 12 original posts, its engagement rate beats 74% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 2.53% of those impressions turn into an interaction. That is about 8.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 83% carry an image or video and 8% link out. The account's strongest tracked post pulled 23K interactions, about 37x its own typical post.

Measured over 12 original posts from a 30-day window, last computed on September 5, 2026.

Compared with accounts its own size

المُهندس زياد's engagement rate beats 74% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 72% 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 0.207%, المُهندس زياد sits above the 50th percentile of the 66,393 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile119.5%

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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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 video83% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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.
  • 8% 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 632 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

  • Apr 15, 202637x their median

    https://t.co/ZgmnYYiWKf

    18K2.8K1812.1K7.8M viewsView on X
  • Sep 2, 20269.9x their median

    — C.S. Lewis https://t.co/md9TyWjz5r

    5.1K94172996K viewsView on X
  • Sep 3, 20268.9x their median

    عميق جداً هذا المقطع، يُذكرني بهذا الاقتباس الجميل : ” أنت ما تأخرت؛ أنت قاعد تتهيأ لشيء ما تخيلته “ بعض الفصول تستغرق وقتًا أطول لأنها تغيّرك بطرق سيحتاجها الفصل القادم. 🤍 https://t.co/BgKJ6Rhd8j

    4.3K1.1K4751264K viewsView on X
  • Feb 19, 20266.1x their median

    https://t.co/f0r4P9XnHX

    3.3K309141191.3M viewsView on X
  • Sep 2, 20263.3x their median

    النكتة البائخة.. نهايتها أليمة! منذ قليل خرجت من مطعم مع العائلة، وأمام الباب سيارة متهالكة جدًا، فالتفت إلى أبنائي، وفي لحظة من لحظات توزيع الحِكم التي لا داعي لها، قلت: «من يشترك في تابي وتمارا.. هذه نهايته!» ولسوء حظي، خرج صاحب السيارة في اللحظة نفسها، رجل أمن بسيط، وكان قد سمعني، فقال: «وش فيها السيارة؟» هنا اشتغلت غريزة النجاة، فقلت بسرعة: «كلنا مررنا بهذه الظروف.. ابتدأنا من هنا!» ومشيت، والعائلة كلها تضحك علي. كنت أحاول تعليم أبنائي درسًا في الإدارة المالية، فانتهى الدرس بتعليمي أنا فضيلة الصمت.

    98847879212.5M viewsView on X
  • Aug 22, 20262.0x their median

    https://t.co/jVfX38oXh1

    1.0K132642529K viewsView on X
  • May 31, 20261.6x their median

    What was the best book you read in May?

    38143379171833K viewsView on X
  • Sep 1, 2026

    أعجبني جداً هذا الاقتباس العميق: "بإمكان امرأة واحدة أن تعلمك أكثر مما يمكن أن تعلمك به سنوات من الزمن، لأن بعض اللمسات ليست جسدية... إنها فكرية وروحية ووجودية." فعلاً لأن تأثيرها لا يأتي من الجسد أو اللمس الحسي، بل من اللمس العقلي (كيف تغير تفكيرك)، واللمس الروحي (كيف تهدّئ روحك أو توقظها)، واللمس الوجودي (كيف تغيّر معنى وجودك وشعورك بذاتك). ليست كل العلاقات تُعلّم… لكن أحيانًا علاقة واحدة صادقة وعميقة كفيلة بأن تنضجك وتُشفِيك وتغيّر مسار وعيك كلّه. ❤️

    76411891124K viewsView on X
  • Sep 4, 2026

    تقول صاحبة المقطع: «عندما قالوا لي: لقد تعاملتِ مع الأمر بشكل جيد؟ – لا، لم أفعل. انتظرت حتى عاد زوجي إلى المنزل وبكيت له.» أعظم نعمة وجود شخص نرتاح له وننهار أمامه، شخص يمكننا إسقاط كل الأقنعة أمامه دون خوف، وإظهار الضعف بلا خجل. ❤️ https://t.co/7xT28AThKb

    7104715355K viewsView on X
  • Sep 1, 2026

    تيلا كومان - معالجة نفسية متخصصة في الصدمة والإهمال العاطفي تفسر مفارقة غريبة: أكثر الأشخاص غير المستقرين عاطفيًا -بدون علاج- هم نفسهم "المعالجين" في شلة الأصدقاء. والسبب؟ إنهم يهدّون الآخرين كطريقة لا واعية للحصول على التهدئة اللي هم محرومين منها، بدون ما يضطرون يكونون ضعفاء أو يطلبون المساعدة. التنظيم العاطفي سلوك مُكتسب تيلا توضح نقطة أساسية: الإنسان ما ينولد وهو يعرف يهدّي نفسه. نتعلم التنظيم العاطفي من خلال "التنظيم المشترك Co-regulation" مع الأهل في الطفولة. يعني لما الطفل يكون متوتر أو يبكي، الأب أو الأم يهدّونه ويرجعونه لحالة هدوء. ومع الوقت الطفل يتعلم يسويها لنفسه. ماذا يصير لو ما حصل هذا الشيء؟ لو الطفل ما حصل على هذا التهدئة الكافية.. ما يتعلم يهدّي نفسه بشكل طبيعي. فيكبر وهو لا زال معتمد على تنظيم خارجي - يعني يحتاج شخص ثاني يهديه. وهنا يجي دور "الإهمال العاطفي": وهو إن الطفل يتعود يتخلى عن احتياجاته لأنه اتبرمج إنه التعبير عنها = خطر على علاقته بأهله. لماذا يصبحون "المعالجين" في الشلة؟ هنا الذكاء اللاواعي يشتغل. الشخص اللي عاش إهمال عاطفي يلاقي نفسه دايمًا هو اللي يهدّي أصدقائه ويسمع لمشاكلهم ويحتويهم. لكن الحقيقة؟ هو وقت ما يهدّي غيره.. هو فعليًا يلمس التهدئة اللي هو محتاجها هو نفسه، بدون ما يكون ضعيف أو معرض للأذى. يعني يحصل على الأمان العاطفي اللي يشتاق له، بدون ما يواجه احتياجاته الشخصية أو يكون مكشوف وضعيف. تيلا توصفها بـ "حركة ذكية جدًا" من العقل الباطن. لذلك: اللي يبان إنه "صديق معالج وقوي" غالبًا يكون من داخله غير مستقر ويعاني. وهذا الدور مو بالضرورة صحي 100%.. لأنه يجي من مكان حرمان، مو من وفرة. والحل يبدأ لما الشخص يدرك إنه يستحق يتلقى نفس التهدئة اللي يقدمها لغيره، ويطلبها بدون ما يحس إنها خطر.

    394554525K 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 616 interactions against 298K followers, an engagement rate of 0.207%. Measured over 12 original posts, its engagement rate beats 74% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 2.53% of those impressions turn into an interaction. That is about 8.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 83% carry an image or video and 8% link out. The account's strongest tracked post pulled 23K interactions, about 37x its own typical post.

What is المُهندس زياد's engagement rate on X?
المُهندس زياد (@ii7_8) has an engagement rate of 0.207%, based on the median interactions across 12 original posts from the last 30 days against 298,138 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.207%, المُهندس زياد sits above the 50th percentile of the 66,393 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 @ii7_8 have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range 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 @ii7_8 post?
Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 1.97 posts per day across the measured window.

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