Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 87% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 39 days, net +135. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,547–8,722 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 08:41
8,702
+10
12 Sept 2026, 03:59
8,692
+33
7 Sept 2026, 21:18
8,659
+9
2 Sept 2026, 17:42
8,650
+11
31 Aug 2026, 02:44
8,639
+31
28 Aug 2026, 13:15
8,608
+1
25 Aug 2026, 07:38
8,607
-7
22 Aug 2026, 18:18
8,614
-5
19 Aug 2026, 09:54
8,619
+4
16 Aug 2026, 16:53
8,615
+14
12 Aug 2026, 19:03
8,601
+9
9 Aug 2026, 20:11
8,592
+24
7 Aug 2026, 03:58
8,568
+1
7 Aug 2026, 01:47
8,567
first reading
Engagement
27 posts held, back to 30 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.37%
avg views ÷ 8,702 subscribers
Avg views / post
641
1 post measured
Reaction rate
1.72%
reactions ÷ views · ER floor
Posts in window
1
of 27 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 August 2026
Posts held
27 (30 June 2026 – 26 August 2026)
Views total
641
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:46 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
3m 31s
Average length
30s
Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
314 reactions across 27 posts, in 7 distinct kinds. The most used accounts for 75.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
236
75.2%
🔥
35
11.1%
👍
29
9.24%
🤯
7
2.23%
👏
5
1.59%
😍
1
0.318%
🥰
1
0.318%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 27 of the 27 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 314 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 30 June 2026 to 26 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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تضيف لفكرتك وتعدلها وتصيغها الصياغة الكامله اللي يفهمها الذكاء الاصطناعي:
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✅ مثال
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ـ GeneratePrompt.ai
2- فحص وتحسين الأوامر
ـ GeneratePrompt.ai/prompt-checker
3- كاشف نصوص الذكاء الاصطناعي
ـ GeneratePrompt.ai/ai-detector
4- إعادة صياغة النصوص بأسلوب بشري
ـ GeneratePrompt.ai/ai-humanizer
5- مولد أوامر ChatGPT
ـ GeneratePrompt.ai/chatgpt-prompt-generator
6- مولد أوامر DeepSeek
ـ GeneratePrompt.ai/d…
ترا المشكلة مو في الذكاء الاصطناعي ! 👀
المشكلة إنك غالباً تشرح له أكثر مما يحتاج..
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وخلّ منصة GeneratePrompt 💜
ترتّبها وتحوّلها إلى Prompt احترافي
تفهمه منصة الذكاء الاصطناعي اللي تستخدمها
✅ محاولات أقل
✅ نتائج أدق
✅ ووقت أكثر للإبداع
ركّز على الفكرة وخَلّ الباقي علينا
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الذكاء الاصطناعي مو دائماً يفهم ثقافتك..
ما يفهم وش يعني الكشتة؟ الدبكة؟ أو المقلوبة؟
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ـ http://app.generateprompt.ai
منصة عربية مصممة عشان تفهم لغتك..ثقافتك وطريقة تعبيرك... ثم تحوّلها إلى Prompt احترافي يفهمه الذكاء الاصطناعي بالشكل الصحيح
لأن أفضل النتائج.. تبدأ لما تتكلم مع الـ AI بلغتك.
1. أفتح ChatGPT
2. أرفع صورتك
3. ألصق البرومبت التالي 👇 :
Graphic vector illustration portrait of a young Indian man looking up thoughtfully, messy textured black hair, light beard and stubble, wearing large black over-ear studio headphones and a vibrant red hoodie. Low-angle close-up shot, stylized comic book graphic novel aesthetic, detailed pencil draft lines, bold watercolor paint splatters in turquoise and crims…
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اشتغلنا على الخطوة اللي كثير منكم كان ينتظرها وهي : تطبيق الموبايل.
بدون ما تفتح المتصفح كل مرة،
وبدون ما تكون قدام الكمبيوتر.
📱 افتح التطبيق
✍️ اكتب فكرتك
🤖 وخذ أمر احترافي جاهز للذكاء الاصطناعي
نعمل حالياً على تطبيق توليد الأوامر للموبايل…
وقريب بيكون بين أيديكم 👀🔥
6.5 مليون برومبت 🤯!!
هذا عدد البرومبتات اللي أنشأها مستخدمين الذكاء الاصطناعي من خلال منصتنا، عشان يحصلون على نتائج أقوى وأكثر دقة من أدوات الذكاء الاصطناعي.
بينما ما زال هناك الكثير من الناس يعيدون كتابة طلباتهم بأكثر من طريقة، ويجربون مرة ومرتين، لكن النتيجة تظل عامة أو بعيدة عن اللي يتوقعونها !!
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ـ https://app.generateprompt.ai
✅ أو النسخة المجانية مدى ا…
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وخلال لحظات يحول طلبك من أمر ضعيف إلى أمر قوي
يرفع إنتاجية و نتائج ChatGPT من 100% إلى 300% 😱!!
✅ مجاناً وبدون تسجيل.
هل سمعت قبل كذا عن فيلم مفتوح المصدر؟ 🎬🍿
إيه نعم، مثل ما قريت بالضبط !!
فيلم الرعب والتشويق Hell Grind يعتبر أول فيلم سينمائي كامل مصنوع بالذكاء الاصطناعي، والحين صار متاح للجميع كمشروع مفتوح المصدر، بمناسبة مهرجان Higgsfield Global Film Festival.
الفيلم مدته 95 دقيقة كاملة، وتكلف إنتاجه 500 ألف دولار فقط، وانعرض في مهرجان كان السينمائي
والموضوع ما وقف هنا، حتى وسائل إعلام عالمية كبيرة تكلمت عنه، وتصدر عناوين الأ…
تحسب نفسك محترف في كتابة أوامر الذكاء الاصطناعي ؟
سوينا لك اختبار ذكي، يكشف مستواك الحقيقي من خلال 8 أسئلة عملية.
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❤10
Showing the 12 most recent of 27 posts we hold for @GeneratePromptAi. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@GeneratePromptAi edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“أداة توليد أوامر الذكاء الاصطناعي” (@GeneratePromptAi), 8,702 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/GeneratePromptAi.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.