Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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 the other topics.
Growth
65 measurements spanning 97 days, net -1,279. 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 35,676–37,339 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:18
35,868
-18
9 Nov 2026, 11:36
35,886
-24
8 Nov 2026, 04:52
35,910
-18
6 Nov 2026, 23:41
35,928
-20
5 Nov 2026, 21:54
35,948
-9
5 Nov 2026, 01:08
35,957
-18
4 Nov 2026, 03:26
35,975
-13
2 Nov 2026, 23:45
35,988
-3
2 Nov 2026, 00:04
35,991
-11
1 Nov 2026, 01:48
36,002
-12
31 Oct 2026, 03:28
36,014
-16
29 Oct 2026, 23:59
36,030
-6
29 Oct 2026, 01:40
36,036
-15
28 Oct 2026, 02:28
36,051
-7
26 Oct 2026, 22:55
36,058
-9
25 Oct 2026, 22:08
36,067
-5
24 Oct 2026, 23:18
36,072
-23
23 Oct 2026, 22:46
36,095
-2
22 Oct 2026, 19:48
36,097
-8
21 Oct 2026, 18:27
36,105
first reading
Engagement
35 posts held, back to 20 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 178 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.86%
avg views ÷ 35,868 subscribers
Avg views / post
669
8 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
8
of 35 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 8 November 2026
Posts held
35 (20 September 2025 – 8 November 2026)
Views total
5,349
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 05:49 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
8s
Average length
8s
Measured directly from 1 video 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
193 reactions across 31 posts, in 4 distinct kinds. The most used accounts for 93.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
180
93.3%
👍
9
4.66%
🤔
3
1.55%
😁
1
0.518%
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 32 of the 35 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 20 September 2025 to 8 November 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
Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
جوجل أطلقت منصة تعليم جديدة، مجانية بالكامل ومفتوحة رسمي لكل الناس في مصر وأفريقيا،
تقدر تتعلم منها من موبايلك وتوفر فلوس الكورسات! 🎓🚀
اسمها Skilling Africa with Google، ودي منصة بتجمع
أكتر من 15 مبادرة وشهادة معتمدة من جوجل في مكان واحد،
في مجالات زي:
👈 الذكاء الاصطناعي التوليدي وهندسة الأوامر.
👈تحليل البيانات والأمن السيبراني وتصميم UX.
👈البرمجة وتطوير الويب وسحابة Google Cloud.
👈 إدارة المشاريع الصغيرة وتطوير البي…
🤖 عايز تبدأ في الذكاء الاصطناعي التوليدي؟
• مصادر للمبتدئين وشروط الوصول.
• خارطة طريق وتطبيق عملي.
• ٣ أوامر AI للتعلّم والتدريب.
https://www.prceg.com/2026/11/generative-ai-free-courses.html
📊 تريد البدء في تحليل البيانات؟
• خارطة طريق من الجداول إلى مشروع عملي.
• مصادر للتعلم مع توضيح شروط الشهادات.
• 3 أوامر AI للفهم والتطبيق والاستعداد للمقابلات.
الدليل: https://www.prceg.com/2026/11/data-analysis-free-courses.html
لماذا ننشغل بالمهام البسيطة ونؤجل العمل الأهم لآخر اليوم؟ 🐸
في كتاب (ابدأ بالأهم - Eat That Frog)، يثبت براين تريسي أن إنجاز أصعب مهمة صباحاً يصنع 80% من نجاحك!
حولنا الكتاب إلى 5 أوامر ذكاء اصطناعي جاهزة للنسخ.. الرابط 👇
📖 انسخ الأوامر الـ 5 كاملة لتطبيق كتاب "ابدأ بالأهم ولو كان صعباً" والقضاء على التسويف في ChatGPT وGemini من هنا:
https://www.prceg.com/2026/11/eat-that-frog-ai-prompts.html
كيف تنجز عمل 8 ساعات في ساعتين فقط؟ ⚡
في كتاب (العمل العميق - Deep Work)، يثبت كال نيوبورت أن تفقد الجوال لـ 30 ثانية يفقد عقلك 20 دقيقة لاستعادة تركيزه!
حولنا الكتاب إلى 5 أوامر ذكاء اصطناعي جاهزة لـ ChatGPT.. 👇
الأوامر الـ 5 تشمل:
1. فلترة المهام (80/20)
2. جدولة الكتل الزمنية بالدقيقة
3. روتين الدخول في التركيز (3 دقائق)
4. درع المشتتات والجوال
5. روتين إغلاق العمل
📖 انسخها كاملة بضغطة زر من هنا:
https://www.…
لماذا نفشل في الالتزام بالعادات الجديدة بعد أسبوع واحد؟ 🎯
في كتاب (العادات الذرية - Atomic Habits)، السر ليس في قوة الإرادة بل في "النظام اليومي".
حولنا قواعد الكتاب الـ 4 إلى 5 أوامر ذكاء اصطناعي جاهزة للنسخ.. الرابط 👇
https://www.prceg.com/2026/11/atomic-habits-ai-prompts.html
إيه أكتر عادة حاولت تبدأها السنة دي وبطلتها بعد أول أسبوع؟ 🤔
(١- القراءة اليومية | ٢- تعلم الإنجليزي | ٣- الرياضة | ٤- التركيز وتقليل الموبايل)
في كتاب "العادات الذرية" (Atomic Habits)، جيمس كلير بيقول
إن المشكلة عمرها ما كانت في ضعف إرادتك، المشكلة في "النظام" اللي بتبدأ بيه!
عشان كدة في نادي القراءة العملية عملنالك النهاردة حاجة مختلفة لأول مرة:
حولنا الكتاب كله لـ 5 أوامر ذكاء اصطناعي (Prompts) جاهزة للنسخ بضغ…
محاضرة مجانية عن ازاي تعمل محتوى بدون تصوير ولا تسجيل بالذكاء الاصطناعي
تقدر تشوفها من هنا
https://brainsmingle.com/recording/ff28832d-eaa0-49c3-9a8e-ad1284fac421
لما نقول حرب أكتوبر، يبقى لازم نذكر أسطورة الصاعقة المصرية، أسد سيناء الشهيد العميد:
(ابراهيم الرفاعي)
في الفيديو القصير ده، هتعرف لمحة عن بطولات البطل العظيم ده.
اللي أسس "المجموعة 39 قتال" بعد نكسة يونيو 1967 مباشرة تحت قيادته، وجمع فيها عناصر من قوات الصاعقة البرية والبحرية والضفادع البشرية..
وكان هو القائد اللي بيرسم خطة كل عملياتهم وبيشارك معاه في الميدان. المجموعة دي كابوس للعدو بسبب عملياتها الجريئة وظل الق…
ارفع صورتك لـ ChatGPT وخليه يعمل لك صورة بتشرح شغلك في لقطة واحدة 👇
لما تستخدم البرومت ده هيعملك صورة كاريكاتير احترافية ليك زي الصورة دي
Create a caricature of me and my job based on this photo. Show my personality, profession, work style, and the tools I use in one creative image. Keep my face recognizable, make it polished and expressive, and turn it into a personal brand style poster.
ولو جرّبتها حط النتيجة في…
شخصية نديم عاملة قلق على منصة Threads 🧿🔥👏
لو متعرفش "نديم" ، فهو شخصية خيالية عملتها عشان تقدم محتوى في تطوير الذات والتعلم الذاتي..
أيوه لو متابعني من زمان هتعرف انها امتداد لبراند نادي القراءة العملية اللي عملته زمان.
اللي عايز اشاورلك عليه إنك تقدر تعمل شخصية للبراند و البيزنس بتاعك، أو شخصية بديلة تقدم المحتوى مكانك، بدون تصوير ولا معدات..
وبالتالي تقدر تزود الوعي والمتابعين والمبيعات بطريقة غير تقليدية وكله …
Showing the 12 most recent of 35 posts we hold for @prccourses. 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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Marketing @digitalmarketing34 · 162,407 Telegram ranks this channel #10 of 53 here — alongside 52 others — read 12 August 2026
English @English2020free · 221,342 Telegram ranks this channel #12 of 72 here — alongside 71 others — read 11 August 2026
د. عبدالرحمن باعباد | تجارة إلكترونية 👨🏻💻 @abdubaabbad · 47,215 Telegram ranks this channel #17 of 73 here — alongside 72 others — read 26 August 2026
فلسكو - FULLSCO @tufazy · 49,208 Telegram ranks this channel #21 of 75 here — alongside 74 others — read 25 August 2026
دليل و مجالات الربح من الانترنت @m3_freelance · 38,392 Telegram ranks this channel #35 of 64 here — alongside 63 others — read 30 August 2026
د. محمد الخالدي - بناء الإنسان @drrmohh · 39,094 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 31 August 2026
Oussamadcsi _ برمجة و تطوير الذات @codingbasics · 21,656 Telegram ranks this channel #43 of 59 here — alongside 58 others — read 21 September 2026
TG Server (sixty_challenge) @TGserver1 · 20,008 Telegram ranks this channel #50 of 82 here — alongside 81 others — read 27 September 2026
معارف - مصادر تعليمية في كل المجالات @m3aarf · 337,887 Telegram ranks this channel #56 of 71 here — alongside 70 others — read 10 August 2026
مقهى الأدب @kutubpdfbook · 19,418 Telegram ranks this channel #58 of 85 here — alongside 84 others — read 30 September 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“انشاء صور وفيديوهات بالذكاء الاصطناعي - نادي القراءة” (@prccourses), 35,868 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/prccourses.
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.