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 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
15 measurements spanning 41 days, net +663. 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 8,912–9,773 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 09:38
9,674
+149
12 Sept 2026, 08:41
9,525
+347
8 Sept 2026, 10:14
9,178
+143
3 Sept 2026, 07:47
9,035
-5
31 Aug 2026, 12:06
9,040
-35
28 Aug 2026, 04:37
9,075
-13
25 Aug 2026, 13:23
9,088
-21
22 Aug 2026, 19:17
9,109
+27
19 Aug 2026, 09:03
9,082
-1
16 Aug 2026, 18:25
9,083
+40
13 Aug 2026, 06:29
9,043
+4
9 Aug 2026, 20:39
9,039
+26
7 Aug 2026, 00:38
9,013
+2
6 Aug 2026, 02:52
9,011
no change
6 Aug 2026, 01:50
9,011
first reading
Engagement
237 posts held, back to 1 August 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 32 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 237 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 01s
Average length
26s
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
950 reactions across 214 posts, in 13 distinct kinds. The most used accounts for 66.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
636
66.9%
👍
128
13.5%
🥰
52
5.47%
🔥
44
4.63%
🆒
30
3.16%
👎
18
1.89%
💘
14
1.47%
🙏
12
1.26%
🤣
5
0.526%
😁
4
0.421%
😈
3
0.316%
💔
2
0.211%
😢
2
0.211%
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 229 of the 237 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 1,010 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 237 most recent posts we hold, published 1 August 2026 to 28 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.
قبل بعد
چطوری یه عکس معمولی تبدیل به یه عکس مناسب برای سایت و اینستاگرام میشه؟
Product Lock:
Use the uploaded product image as the ONLY product reference. Preserve the exact bottle shape, proportions, matte finish, cap, label layout, logo, typography, colors, and packaging details. Do not redesign, rename, or invent label text.
Primary Focus:
Premium black-and-white hero product pho…
ساخت دستیار هوش مصنوعی
تا حالا شده برای هر کاری مجبور باشی دوباره و دوباره به AI توضیح بدی که چی میخوای، چه قوانینی داره و چطور باید جواب بده؟
راه بهتر اینه که برای هر کار، یک دستیار تخصصی داشته باشی.
مثلاً:
دستیار برنامهنویسی
دستیار آموزش زبان
دستیار مطالعه و تحقیق
دستیار تولید محتوا
دستیار تحلیل داده
دستیار کسبوکار
اما ساخت یک دستیار خوب فقط این نیست که بنویسیم تو یک برنامهنویس حرفهای هستی. این پرامپت شاید ج…
بچهها من یه چیزی دیدم و الان واقعاً دارم به این فکر میکنم که شاید چند سال دیگه، لپتاپ اون چیزی که امروز هست نباشه :))
آپدیت جدید ChatGPT رو دیدید؟
ChatGPT Work الان برای خودش یه محیط کامپیوتری داره و میتونی کارها رو توی Cloud بهش بسپری.
یعنی لازم نیست همیشه پشت سیستم خودت باشی یا حتماً یه لپتاپ کنارت باشه. هرجا باشی میتونی بری سراغش و کارت رو ادامه بدی.
شاید هنوز زوده که بگیم «دیگه لپتاپ لازم نداریم»، ولی …
اکانت گوگل وان ۱۸ ماهه:
✅ فلو پرو میشه (ماهی ۱۰۰۰ کریدیت میده که شما میتونی ۷۰..۸۰ تا ویدیو ۸ تا ۱۰ ثانیه ای بسازی باهاش)
✅ بینهایت عکس نانوبنانا میتونید بسازی
https://labs.google/fx/tools/flow
✅ جمنای پرو میشه
https://gemini.google.com
✅ نوت بوک ال ام پرو میشه
https://notebooklm.google.com
google ai studio پرو میشه✅
Aistudio.google.com
📱✅ Prompt:
Use the uploaded reference image as the exact subject.
Preserve the subject’s facial identity with maximum accuracy, including face shape, eyes, eyebrows, nose, lips, skin tone, hairstyle, age, and overall facial proportions.
The subject sits comfortably and confidently on a modern black chair inside a minimalist architectural space with exposed concrete walls and floors.
Outfit:
Black cap,
dark sungla…
این مشکل همه تولیدکنندههای محتواست!
یه عکس خوب داری، ولی وقتی میخوای تبدیلش کنی به استوری، یا باید کراپش کنی یا یه بخش مهم تصویر از بین میره.
اینجاست که AI میتونه کمک کنه.
به جای اینکه عکس رو ببری و خرابش کنی، ازش بخواه تصویر رو برای فرمت استوری گسترش بده. یعنی چی؟
یعنی همون عکس اصلی حفظ میشه، فقط اطرافش به شکل طبیعی کامل میشه تا برای سایز 9:16 آماده بشه.
پرامپت:
This is an image editing task, not a new im…
ساخت ویدیوی طولانی با هوش مصنوعی و MovieFlow AI
ساخت یک فیلم چنددقیقهای با AI بهتره یکجا انجام نشه؛ چون ممکنه ظاهر شخصیت، محیط و سبک بین صحنهها تغییر کنه.
روش بهتر:
داستان رو به چند صحنه کوتاه تقسیم کن و هر صحنه رو جداگانه بساز، سپس کلیپها رو به هم وصل کن.
داستان و استوریبورد
اول داستان رو طراحی کن و مشخص کن هر صحنه چه اتفاقی داره.
شخصیت ثابت
توضیحات شخصیت رو در تمام پرامپتها ثابت نگه دار؛ مثل چهره، لباس، رن…
Showing the 12 most recent of 237 posts we hold for @ai_setayesh. 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.
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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ai_setayesh named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@create named in 2 posts, 16 August 2026 – 19 August 2026
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“• هوش مصنوعی با ستایش •” (@ai_setayesh), 9,674 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ai_setayesh.
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.