Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
24 measurements spanning 33 days, net +346. 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 23,917–24,866 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:15
24,686
-31
15 Sept 2026, 20:15
24,717
-24
14 Sept 2026, 02:57
24,741
-15
12 Sept 2026, 10:01
24,756
+730
10 Sept 2026, 10:17
24,026
-29
7 Sept 2026, 06:56
24,055
-31
4 Sept 2026, 14:21
24,086
-22
3 Sept 2026, 00:43
24,108
-12
2 Sept 2026, 01:32
24,120
-18
31 Aug 2026, 22:15
24,138
-13
30 Aug 2026, 18:35
24,151
-24
29 Aug 2026, 18:25
24,175
-18
28 Aug 2026, 17:26
24,193
-14
27 Aug 2026, 14:13
24,207
-14
26 Aug 2026, 14:53
24,221
-15
25 Aug 2026, 14:45
24,236
-6
24 Aug 2026, 15:44
24,242
-24
22 Aug 2026, 20:16
24,266
-13
21 Aug 2026, 11:06
24,279
-3
20 Aug 2026, 11:17
24,282
first reading
Engagement
21 posts held, back to 28 May 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 36 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.59%
avg views ÷ 24,686 subscribers
Avg views / post
1,380
1 post measured
Reaction rate
0.58%
reactions ÷ views · ER floor
Posts in window
1
of 21 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 30 August 2026
Posts held
21 (28 May 2026 – 30 August 2026)
Views total
1,380
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:48 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
34s
Average length
34s
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
324 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 85.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
276
85.2%
🔥
21
6.48%
👌
17
5.25%
👍
4
1.23%
🆒
3
0.926%
😍
3
0.926%
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 19 of the 21 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 324 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 28 May 2026 to 30 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.
هایدرود رفیق 🪐
برای ادیت و تدوین
فقط کافیه دیوونه خلاق، باحال و پر از ایده جدید باشی 🚀
🥇کار بشکل پروژهای و دورکاری هستش
💵حقوق نسبت به تعداد پروژه ای که میرسید انجام بدید بالاتر میره
و تا صبح پروژه هست ! (ماهی بالای 1200 تا ویدیو)
🫀شرایط:
کار بلد و متعهد به کارت باشی
روحیه کار تیمی خوب داشته باشی
باسلیقه، خلاق و ایده پرداز باشی
🧠الزامی ها:
کار با پریمیر و افتر افکت رو فول باشی 😎
خوش رویی، لبخند و باحال بودن ه…
🔥 آپدیت جدید دوره هوش مصنوعی منتشر شد! 😍
جلسات کامل آموزش Claude AI از صفر تا صد به دوره اضافه شده!
و این تازه شروع آپدیت هاس...
بهزودی بخش اختصاصی تکنیکهای درآمدزایی با Claude AI هم به دوره اضافه میشه تا یاد بگیری چطور از این ابزار برای کسب درآمد استفاده کنی. 🚀
پرامپت عکس پروفایل جدید اووردم براتون🙂↔️ با GPT بسازید:
Upload one reference image before generating.
MAIN PROMPT
Create an ultra-realistic luxury studio fashion portrait of the uploaded person wearing a plain black polo shirt.
FORMAT LOCK
Vertical 9:16 composition. Waist-up portrait. Subject centered. Premium commercial campaign framing. Magazine-cover quality.
IDENTITY LOCK
Use the uploaded image as the only ide…
این عکس خمیری ها خیلی ترند شده بسازید حتما:
MAIN PROMPT
Transform the uploaded image into a highly detailed absurdist claymation world while preserving the exact original composition, object placement, perspective, camera angle, framing, proportions, and scene structure.
FORMAT LOCK
Preserve the original aspect ratio, composition, crop, camera distance, perspective, subject scale, and environmental layout. Do not m…
عکسای آسانسوریتونو اینجوری درست کنین😍
عکسو با این پرامت بدید چت جی پی تی:
‼️ نوشته و رنگ نوشته رو تو پرامپت خودتون تغییر بدید به چیزی که میخواید باشه
MAIN PROMPT
Upload one reference image before generating.
Create a realistic mirror-selfie fashion photograph using the uploaded image as the identity, outfit, environment, and pose reference.
FORMAT LOCK — CRITICAL
Strict vertical 3:4 composition, full-body portrai…
نمیخوام خورد خورد اضافه کنم که گیج بشین دارم با یه دسته بندی منظم و طبقه بندی شده جوری یادتون میدم که همه چیزشو درک کنید و باهاش کارای خفن کنین
چند روز صبر کنید یجا کل آپدیتای دوره اضافه میشه براتون
صبح تا شب دارم آپدیتای دوره هوش مصنوعیو براتون ضبط میکنم
هرچیزی که گفته بودین میخواید اضافه بشه
از همه مهمتر آموزش کامل claud Ai هست که مو به مو دارم آموزشش میدم بهتون❤️🔥
اینیکی همخیلی خفنه حتما تستش کنید:
Analyze the style reference image and generate an image of the uploaded subject into the scene described in this prompt.
First, deeply analyze the reference image to extract every visual detail with reference precision.
ROLE & AESTHETIC:
Saturated red gradient profile editorial poster.
IDENTITY ANCHOR:
Use attached image for face only. Preserve exact facial identity, skin tone,…
یه عکس از چهرتون همراه این پرامپت بدین به چت جی پی تی تا همچین عکس خفنی بسازین😎👇🏻
A high-end 8K cinematic black-and-white portrait of a man in a sharp, professional suit, looking away from the camera with a focused, stoic expression. He is standing in a three-quarter profile against a solid, deep black background.
Face like refrnce photo natural skin texture. He is wearing a dark tailored blazer over a crisp white …
پرامت ساخت این تصویر با مدل GPT:
Use the uploaded photo as the identity reference and preserve the exact facial features, hairstyle, beard, skin tone, body proportions, clothing, and overall likeness from the reference image.
Create a cinematic street scene where the subject stands completely still in the center of a crowded urban environment while hundreds of people move rapidly around them. The subject remains pe…
✨ آخرین ثبتنام دوره تخصصی هوش مصنوعی فقط تا ۱۲:۰۰ امشب ✨
جا نمونی!!!
❌❌❌❌❌❌❌❌❌❌❌❌
برای ثبتنام کافیه وارد لینک زیر بشید.
بعد از تکمیل ثبتنام، لینک دسترسی به کلاس براتون ارسال میشه ✅
‼️قیمت اصلی دوره : ۱۴ میلیون تومان
✅ قیمت با تخفیف برای آخرین بار : ۴/۸۰۰ تومان
❌❌❌❌❌❌❌❌❌❌❌❌
👇🏻👇🏻👇🏻 لینک ثبتنام 👇🏻👇🏻👇🏻
با فیلترشکن خاموش وارد شوید
https://vstudiotv.reb.ir/hoshe-masnoei/
❤4
Showing the 12 most recent of 21 posts we hold for @mohamadesfehaniyan. 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.
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 15 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.
دنی دوئن| کلاب ترمیناتور های هوش مصنوعی @dani_douen · 24,677 Telegram ranks this channel #35 of 74 here — alongside 73 others — read 15 September 2026
آموزش تدوین🎬فرزاد یعقوبی @editorfarzad · 52,803 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 25 August 2026
GG Bax @ggbaxes · 26,556 Telegram ranks this channel #52 of 71 here — alongside 70 others — read 12 September 2026
pouyasasani7 @pouyasasani7 · 31,311 Telegram ranks this channel #52 of 78 here — alongside 77 others — read 6 September 2026
ایدههای جدید و خلاقانه محتوا - محمد مهدی میرزایی @contentideass · 30,805 Telegram ranks this channel #62 of 79 here — alongside 78 others — read 6 September 2026
نوری | تولید محتوا @abolfazl_nouriii · 95,761 Telegram ranks this channel #63 of 77 here — alongside 76 others — read 16 August 2026
This channel appears in 6 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“مدرسه هوش مصنوعی محمد اصفهانیان” (@mohamadesfehaniyan), 24,686 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mohamadesfehaniyan.
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.