Education — 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 19 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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
64 measurements spanning 96 days, net -1,032. 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 25,364–26,706 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
9 Nov 2026, 07:18
25,519
-13
8 Nov 2026, 00:46
25,532
-11
6 Nov 2026, 19:38
25,543
-15
5 Nov 2026, 21:36
25,558
-10
4 Nov 2026, 22:14
25,568
-7
3 Nov 2026, 19:37
25,575
-9
2 Nov 2026, 17:35
25,584
-13
1 Nov 2026, 17:49
25,597
-6
31 Oct 2026, 16:19
25,603
-12
30 Oct 2026, 17:55
25,615
-21
29 Oct 2026, 19:18
25,636
-26
28 Oct 2026, 17:57
25,662
-18
27 Oct 2026, 21:11
25,680
-9
26 Oct 2026, 21:27
25,689
-6
25 Oct 2026, 21:45
25,695
-13
24 Oct 2026, 23:16
25,708
-29
23 Oct 2026, 20:11
25,737
-7
22 Oct 2026, 18:06
25,744
-5
21 Oct 2026, 12:29
25,749
-5
20 Oct 2026, 08:46
25,754
first reading
Engagement
52 posts held, back to 24 July 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 140 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.94%
avg views ÷ 25,519 subscribers
Avg views / post
1,520
3 posts measured
Reaction rate
0.242%
reactions ÷ views · ER floor
Posts in window
3
of 52 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 29 October 2026
Posts held
52 (24 July 2024 – 29 October 2026)
Views total
4,547
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 08:49 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
Photos
244
Videos
318
Links
143
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
56s
Average length
56s
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
1,681 reactions across 46 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,681
100.0%
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 47 of the 52 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 1,681 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 24 July 2024 to 29 October 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
10
of 48 we hold a reading for · 21%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hajimohamaditg. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 52 most recent posts we hold for this entry, published 24 July 2024 to 29 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) 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).
❌تو از بقیه عقب نیفتادی!
💡هنوزم فرصت داری ورق رو به نفع خودت برگردونی!
شاید تا امروز از خیلی از فرصتها استفاده نکرده باشی، اما هوش مصنوعی میتونه همون فرصتی باشه که تو رو چند قدم از بقیه جلو میندازه. 🚀
لازم نیست از قبل متخصص باشی؛ فقط باید بدونی از کجا شروع کنی.
💸 جمعه تو وبینار رایگان «۱۰ فرصت واقعی برای کسب درآمد از هوش مصنوعی» قراره با مسیرهایی آشنا بشی که میتونن شروع یه تغییر جدی تو درآمدت باشن.
👇 هنوز دی…
🚨 خبر مهم: آخرین فرصت آفر ۱۸ ماهه گوگل
احتمال خیلی زیاد این پیشنهاد استثنایی فقط تا آخر همین هفته فعال باشه و بعد از اون کلاً بسته بشه.
ما تعداد محدودی از این اکانتها رو با ۹۴٪ تخفیف اختصاصی برای دانشجویانمون تهیه کردیم تا ۱۸ ماه دسترسی قطعی به هوش مصنوعی پرو گوگل داشته باشند.
اگر هنوز اکانتتون رو ارتقا ندادید تعلل نکنید؛ چون با اتمام این موجودی، دیگه به هیچوجه نمیتونم این آفر رو با این شرایط براتون شارژ کنم…
⚡⚡ قویترین هوش مصنوعی جهان معرفی شد!
🔥 جمنای ۴ گوگل (آرگان - Argon) با سنگینترین حجم خروجی و سرعتی فوقالعاده، همین الان برای کاربران Google Pro فعال شد!
چرا جمنای ۴ (آرگان) الان بیرقیبه؟ 👇
🚀 خروجیهای فوقسنگین و یکتکه: نوشتن پروژههای کامل، کدهای طولانی و مقالات جامع، یکجا و بدون نصفه موندن!
🧠 تفکر عمیق با سرعت برق: حل پیچیدهترین مسائل، دیباگ کدهای سنگین و تحلیل فایلهای چندصد صفحهای فقط در چند ثانیه.
…
از وقتی گروکبات (Grok) جدید اومده، تونستم یه تیم کامل از ایجنتهای هوش مصنوعی برای خودم بسازم.
قشنگ انگار چند تا نیروی متخصص به تیم خودم اضافه شدن که ۲۴ ساعته دارن کار میکنن!
فردا (جمعه) ساعت ۱۴
توی وبینار «۱۰ تکنیک درآمد از AI»،
میخوام روش دقیق ساخت همین ایجنتهای پولساز رو بهتون آموزش بدم.
این کلاس کاملاً رایگانه
همین الان از لینک زیر جاتون رو رزرو کنید:👇
🌐 hamyar.co/ai-webinar/
🌐 hamyar.co/ai-webinar/
من این امکان رو برای دانشجوهام گذاشته بودم
اما با وجود دلار ۲۵۰ تومنی گفتم برای شما هم بذارم
با گرفتن جمنای ۱۸ ماهه به صورت کاملا شخصی و روی جیمیل خودتون
تا ۱ سال و نیم دیگه استرس قیمت دلار رو برای داشتن اکانت هوش مصنوعی ندارید
فقط چون من دارم اینا رو دلاری میگیرم. تعدادش محدوده و نمیدونم بتونم باز بگیرم یا نه
پس همین الان بگیرید و خیال خودتون رو راحت کنید
🌐 https://hamyar.co/google-ai-account/
🌐 https://hamyar.c…
سلام به همه
خبر خوب اینکه شرایطی رو فراهم کردیم تا بتونید هوش مصنوعی گوگل (Gemini) رو با یک قیمت باورنکردنی تهیه کنید.
🌟 اکانت ۱۸ ماهه جمنای (هوش مصنوعی گوگل)
🔸 ارزش اصلی: ۳۰۰ دلار
🔸 تخفیف ویژه : ۹۰ درصد!
🔸 فعالسازی: به صورت اختصاصی روی جیمیل خودتون
🔸 تحویل در لحظه
⚠️ توجه مهم: به دلیل دلاری بودن اکانت، تعداد بسیار محدوده و ممکنه افزایش قیمت داشته باشه. پس اگر میخوای این ابزار قدرتمند رو با کمترین هزینه روی جیمی…
سلام به شما
ربات همیار آکادمی افتتاح شد 🥳
دانشجویان عزیز میتوانند:
- دورههای خود را ببینند.
- از تیکت پشتیبانی استفاده کنند و سوال بپرسند و پاسخ دریافت کنند.
🎁 در ضمن هدیه ۵ میلیون تومانی تمدید پشتیبانی ۳ ماهه برای هر دورهای که شما میخواهید، هدیه عضویت در بات است.
این هدیه را از دست ندهید 😍
برای استفاده از این ربات بر روی ای دی زیر بزنید:
@hamyar_aibot
@hamyar_aibot
بزودی امکانات جدید نیز اضافه میشود ...
موس…
ثبت نام دوره تخصصی N8N شروع شد 🚀
ترندترین تخصص دنیا با امکان گرفتن پروژههای جذاب ریالی و دلاری، اکنون در دسترس شماست. در کاربردیترین و بهروزترین دوره n8n ایران، یاد میگیرید چگونه کسبوکارها را متحول کنید.
👨🏫 مدرسین:
علی حاجیمحمدی و محمد جعفری
آنچه در این آموزش جامع مسلط میشوید:
🔹 یادگیری n8n به صورت کاملا تخصصی و پروژهمحور
🔹 اتصال مستقیم سایت و شبکههای اجتماعی به هوش مصنوعی
🔹 ساخت باتهای هوشمند برای تلگ…
🔵 جزوه فارسی مهندسی پرامپت Claude 👇🏻
نسخه فارسی و کاربردی آموزش اصلی مهندسی پرامپت کلاد، همراه با مثالهای بومی 🇮🇷✨
📥 رایگان دانلودش کنید و ازش استفاده کنید:
https://hamyar.co/claude-ebook/
🔥 بالاخره بعد از یک سال!
قراره تو یک کلاس آنلاین، جدیدترین و آپدیتترین مسیرهای کسب درآمد از هوش مصنوعی رو قدمبهقدم بهتون بگم.
👇 برای دریافت لینک وبینار، همین الان ثبتنام کنید: 🔗 https://hamyar.co/ai-webinar/
سلام خدمت دوستان عزیزم
ظرفیت جلسات مشاوره مردادماه باز شد.
اگر حس میکنید وقتشه که:
🔹 چالشهای فعلی شغلتون رو اصولی برطرف کنید
🔹 برای شرایط جدید، دنبال ایدههای رشد هستید
🔹 یا قصد دارید مسیر شغلی و فضای کار جدیدی رو استارت بزنید...
📌 یک جلسه مشاوره هدفمند میتونه مسیرتون رو شفافتر و کارتون رو خیلی راحتتر کنه. 🎯
برای رزرو زمان مشاوره، لطفاً فرم زیر رو تکمیل کنید. همکاران من در اسرع وقت برای هماهنگی با شما تماس …
👍2
Showing the 12 most recent of 52 posts we hold for @hajimohamaditg. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@hajimohamaditg 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
24 October 2026
Most recent edit
24 October 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @hajimohamaditg as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
1 September 2026
Most recent seen missing
27 September 2026
Median time before seen missing
7 months
Seen missing in the last 30 days
0
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
Named by 2 registered channels — 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.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ali Hajimohamadi” (@hajimohamaditg), 25,519 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/hajimohamaditg.
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.