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Channel

أداة توليد أوامر الذكاء الاصطناعي

@GeneratePromptAi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

8,702subscribers

+135 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002646493707
TypeChannel
Username@GeneratePromptAi
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/GeneratePromptAi

Topic

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

8,5678,7028,634.57 August 2026 — 8,567 subscribers7 August 2026 — 8,568 subscribers9 August 2026 — 8,592 subscribers12 August 2026 — 8,601 subscribers16 August 2026 — 8,615 subscribers19 August 2026 — 8,619 subscribers22 August 2026 — 8,614 subscribers25 August 2026 — 8,607 subscribers28 August 2026 — 8,608 subscribers31 August 2026 — 8,639 subscribers2 September 2026 — 8,650 subscribers7 September 2026 — 8,659 subscribers12 September 2026 — 8,692 subscribers15 September 2026 — 8,702 subscribers7 August 202615 September 2026
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)SubscribersChange
15 Sept 2026, 08:418,702+10
12 Sept 2026, 03:598,692+33
7 Sept 2026, 21:188,659+9
2 Sept 2026, 17:428,650+11
31 Aug 2026, 02:448,639+31
28 Aug 2026, 13:158,608+1
25 Aug 2026, 07:388,607-7
22 Aug 2026, 18:188,614-5
19 Aug 2026, 09:548,619+4
16 Aug 2026, 16:538,615+14
12 Aug 2026, 19:038,601+9
9 Aug 2026, 20:118,592+24
7 Aug 2026, 03:588,568+1
7 Aug 2026, 01:478,567first reading

Engagement

27 posts held, back to 30 June 2026the 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
WindowRolling 30 days · latest post in window 26 August 2026
Posts held27 (30 June 202626 August 2026)
Views total641
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 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
ReactionCountShareShare, drawn
23675.2%
🔥3511.1%
👍299.24%
🤯72.23%
👏51.59%
😍10.318%
🥰10.318%

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.

Recent posts

26 Aug 2026, 15:35 UTC641 views11 reactionsread 28 August 2026
Photo

ليش تبدأ من الصفر إذا عندك مكتبة جاهزة؟! مع مكتبة البرومبتات من GeneratePrompt 💜 بتلقى Prompts احترافية جاهزة لمختلف المجالات تساعدك تبدأ أسرع وتوصل لنتائج أفضل سواء كنت: ✅ مسوّق ✅ مصمم ✅ صانع محتوى ✅ صاحب مشروع وفّر وقت كتابة الـ Prompts وركّز على تنفيذ أفكارك.. اكتشفها الآن!

👍74

24 Aug 2026, 14:02 UTC852 views6 reactionsread 28 August 2026
Video

فكرتك تستحق تظهر مثل ما تخيلتها 🎬 لكن البداية دائمًا تكون بـ Prompt احترافي مع أداة توليد أوامر الفيديو من GeneratePrompt 💜 ✅ أوامر احترافية ✅ وصف دقيق للمشاهد ✅ حركة الكاميرا والإضاءة ✅ نتائج أقوى ومحاولات أقل انت ركّز على الفكرة وخَلّ علينا الـ Prompt.. جربها الآن.

6

21 Aug 2026, 17:39 UTC≈3,140 views10 reactionsread 28 August 2026
Photo

مو أي Prompt يطلع لك نتيجة احترافية 👀 مثل أي وصفة إذا ناقصها مكوّن واحد.. النتيجة كلها تتغير وعشان كذا منصة GeneratePrompt Ai 💜 https://app.generateprompt.ai تضيف لفكرتك وتعدلها وتصيغها الصياغة الكامله اللي يفهمها الذكاء الاصطناعي: ✅ الدور ✅ الخلفية ✅ الهدف ✅ الشروط ✅ شكل النتيجة ✅ مثال وأنت بس ركّز على الفكرة وخلّ الباقي علينا.

10

18 Aug 2026, 14:00 UTC≈1,770 views14 reactionsread 28 August 2026

🌟 جميع الخدمات التي نقدمها لكم ( عبر منصة GeneratePrompt ) 👇: 1- توليد أوامر الذكاء الاصطناعي : 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

11👍3

17 Aug 2026, 14:29 UTC≈1,590 views6 reactionsread 28 August 2026
Video

ترا المشكلة مو في الذكاء الاصطناعي ! 👀 المشكلة إنك غالباً تشرح له أكثر مما يحتاج.. كل اللي عليك.. اكتب فكرتك بطريقتك 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 جربها الآن: https://app.generateprompt.ai

6

13 Aug 2026, 14:01 UTC≈2,060 views8 reactionsread 28 August 2026
Video

الذكاء الاصطناعي مو دائماً يفهم ثقافتك.. ما يفهم وش يعني الكشتة؟ الدبكة؟ أو المقلوبة؟ هنا يجي دور GeneratePrompt 💜 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.

6🤯2

9 Aug 2026, 14:01 UTC≈2,490 views15 reactionsread 28 August 2026
Photo

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

12🔥3

8 Aug 2026, 17:00 UTC≈2,100 views26 reactionsread 28 August 2026
Photo

🚨 طلبتوه كثير… وقريباً بنقول لكم: تم ! 💜📱 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 👀🔥

24👍1👏1

8 Aug 2026, 13:12 UTC≈6,980 views15 reactionsread 28 August 2026
Photo

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 !! ✅ تقدر تجرب النسخة الإحترافية مجاناً لمدة 7 أيام من هنا 👇 ـ https://app.generateprompt.ai ✅ أو النسخة المجانية مدى ا

10🔥3🤯2

5 Aug 2026, 21:09 UTC≈2,340 views12 reactionsread 28 August 2026
Video

🚨 قبل ما تطلب اي شي من ChatGPT… مرر طلبك على موقعنا : GeneratePrompt.ai وخلال لحظات يحول طلبك من أمر ضعيف إلى أمر قوي يرفع إنتاجية و نتائج ChatGPT من 100% إلى 300% 😱!! ✅ مجاناً وبدون تسجيل.

🔥75

5 Aug 2026, 14:57 UTC≈2,080 views14 reactionsread 28 August 2026
Photo

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

9👏2🤯2👍1

4 Aug 2026, 19:34 UTC≈1,870 views10 reactionsread 28 August 2026
Photo

تحسب نفسك محترف في كتابة أوامر الذكاء الاصطناعي ؟ سوينا لك اختبار ذكي، يكشف مستواك الحقيقي من خلال 8 أسئلة عملية. خلال دقيقة، راح تحصل على: ✅ تقييم لمستواك ✅ تحليل لأربع مهارات أساسية ✅ نصيحة مخصصة تساعدك تطور أضعف نقطة عندك جرب الاختبار الحين، وشاركنا كم حصلت 👇 🔗 رابط الاختبار : https://check-your-prompting-skills.netlify.app

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.