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 9 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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
33 measurements spanning 43 days, net -4,527. 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 106,587–112,472 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 06:16
107,266
-216
15 Sept 2026, 22:40
107,482
-139
14 Sept 2026, 05:16
107,621
-161
12 Sept 2026, 10:41
107,782
-213
10 Sept 2026, 07:57
107,995
-305
7 Sept 2026, 02:59
108,300
-288
4 Sept 2026, 08:16
108,588
-111
2 Sept 2026, 23:16
108,699
-95
1 Sept 2026, 23:34
108,794
-72
1 Sept 2026, 03:03
108,866
-109
30 Aug 2026, 23:27
108,975
-118
29 Aug 2026, 22:24
109,093
-98
28 Aug 2026, 20:16
109,191
-104
27 Aug 2026, 17:09
109,295
-84
26 Aug 2026, 19:55
109,379
-95
25 Aug 2026, 17:39
109,474
-63
24 Aug 2026, 20:14
109,537
-221
23 Aug 2026, 04:09
109,758
-195
21 Aug 2026, 12:56
109,953
-185
20 Aug 2026, 09:13
110,138
first reading
Engagement
453 posts held, back to 4 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 99 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.20%
avg views ÷ 107,266 subscribers
Avg views / post
6,660
292 posts measured
Reaction rate
0.429%
reactions ÷ views · ER floor
Posts in window
292
of 453 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. It is computed over the 290 of 292 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 21 September 2026
Posts held
453 (4 August 2026 – 21 September 2026)
Views total
1,943,355
Reactions total
8,304
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 22:35 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
≈2,450
Videos
≈404
Links
≈7,440
Lifetime counters from Telegram’s own channel header, read 21 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
37m 31s
Average length
27s
Measured directly from 84 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
14,615 reactions across 441 posts, in 24 distinct kinds. The most used accounts for 38.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,568
38.1%
🤣
2,887
19.8%
👍
1,992
13.6%
🐳
1,007
6.89%
💔
551
3.77%
👎
412
2.82%
🖕
327
2.24%
❤🔥
272
1.86%
😁
251
1.72%
😭
203
1.39%
💋
200
1.37%
🤯
188
1.29%
🍓
187
1.28%
🔥
139
0.951%
😐
122
0.835%
😡
113
0.773%
😱
59
0.404%
👾
55
0.376%
👌
28
0.192%
😈
19
0.13%
4 further kinds
35
0.239%
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 451 of the 453 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 15,031 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 453 most recent posts we hold, published 4 August 2026 to 21 September 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
3
across the posts below
Posts paid on
3
of 453 we hold a reading for · 0.7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @YamYamProxy. 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 453 most recent posts we hold for this entry, published 4 August 2026 to 21 September 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.
چتباتهای هوش مصنوعی رو به دستیار اختصاصی سیستمتون تبدیل کنید!
پروژه Dana یک MCP Server متنباز و سلفهاستد با Pythonه که ابزارهایی مثل Claude، ChatGPT و Grok رو به سیستم شما متصل میکنه.
با کمک Tailscale، هوش مصنوعی میتونه مستقیماً با فایلها، کدها، Docker، دیتابیس، تستها و حتی مرورگر کار کنه؛ ضمن اینکه با مدیریت کانتکست و کش، مصرف توکن رو هم کاهش میده.
https://github.com/seyed-ali-002/Dana-MCP-Server
پروکسی …
این اسپیس بهتون اجازه میده عکس اپلود کنید و با متن پرامپت ویدیو تولید کنید از مدل Wan2.2 14B Fast Preview استفاده میکنه که درسته این نسخه ضعیف شدس برای ویدیو های حرفه ای مناسب نیست ولی برای استفاده های کوچیک مثلا انیمیشنی کردن عکس خوبه
تایم ویدیو رو بیشتر میتونید کنید همچنین کیفیتش هم بیشتر میتونید کنید:
huggingface.co/spaces/kulkas2pintu/wan555
ولی در نهایت این اسپیس ها برای تست هستن اگه استفاده دائمی میخواید ب…
✅ ما حتی #کانفیگ_رایگان هامون رو هم با لینک ساب میدیم (تکنولوژیا)
▶️https://yamyamproxyy.github.io/Yamyamproxy/
⚪️بیش از ۲۰ لوکیشن از سراسر دنیا
مراحل دریافت کانفیگ رایگان:
وارد سایت بالا بشید
سابسکرایبشن رو کپی کنید
کافیه دیوایس تون رو داخل سایت انتخاب کنید تا روش اضافه کردنش رو بهتون یاد بده
همچنین از سایت میتونید لوکیشن موردنظر تون رو به صورت تکی انتخاب کنید
برای اکانت های مهم استفاده نکنید مثل ترید
➖➖➖➖ ➖➖➖➖
🐳…
یه اتصال تازه پیدا کردم که دستیار هوش مصنوعیتون رو به یک استودیوی صدا و تصویر تبدیل میکنه.
شرکت ElevenLabs در ۱۴ سپتامبر ۲۰۲۶ قابلیتهای خلاقانه رو به اتصال MCP خودش اضافه کرده. حالا داخل Claude، ChatGPT، Cursor یا Hermes میتونید با یک درخواست گویندگی، دوبله، موسیقی، افکت، عکس و ویدیو بسازید. خروجی هم مستقیم وارد ElevenCreative میشه تا ویرایشش کنید.
نصب سرور یا API key لازم نیست؛ با حساب ElevenLabs وصل میشید.
ن…
یه مدل جدید پیدا کردم که صدای فارسی رو حتی در محیطهای شلوغ به متن تبدیل میکنه.
مدل Grok Voice Transcribe 2.0 روز ۱۸ سپتامبر ۲۰۲۶ منتشر شده. فایل، جلسه، پادکست و صدای زنده رو رونویسی میکنه، زبان رو خودکار تشخیص میده و زمان کلمهها و گویندهها رو جدا تحویل میده. فارسی هم بین ۲۵ زبان رسمی هست.
شرکت SpaceXAI میگه دقت نسخه جدید در ارزیابیهای داخلی تا دو برابر بهتر شده؛ اما کیفیت فارسیش هنوز نیاز به تست واقعی داره.
…
سم آلتمن میگه با اینکه سورا محصول خوبی بود، اما اوپنایآی جلوش رو گرفت و پروندهش رو بست.
اون معتقده سورا واقعاً خوب کار میکرد و Atlas هم یه مرورگر فوقالعاده بود، ولی با این حال کار روی هر دوتاشون رو متوقف کردن.
دلیلش هم این بوده که میخواستن توان پردازشی و نیروی انسانی تیم، بره سمت چیزی که از نظر خودش اولویت و اهمیت بهمراتب بیشتری داره.
سورا واقعا عالی بود و حیف شد
پروکسی | پروکسی
➖➖➖➖ ➖➖➖➖
🐳 @YamYamProxy
…
۲ سرویس ابری جالب برای اجرای AI و Agentها
اگر دنبال محیطی هستید که بدون دردسر سرور راهاندازی کنید و روی پروژههای AI کار کنید، این دو سرویس میتونن جالب باشن
Superserve.ai
یک محیط لینوکسی ایزوله برای AI Agentها؛ Agent میتونه داخلش کد اجرا کنه، فایل و پکیج داشته باشه و کارهای مختلفش رو انجام بده.
Deepnote.com
یک محیط ابری برای Python، AI و Data Science که ترمینال و محیط لینوکسی هم در اختیارتون میذاره. حتی بعضی کا…
قابلیت Google Search داره از «جستجو» تبدیل میشه به یه دستیار زنده.
با Gemini 3.8 Live میتونی دوربین رو بگیری سمت چیزی، همون لحظه سو ال بپرسی و قدم به قدم راهنمایی بگیری.
یعنی به جای سرچ کردن دربارهی چیزی، میتونی همون چیز رو به گوگل نشون بدی و باهاش حرف بزنی!
پروکسی | پروکسی | پروکسی
پروکسی | پروکسی | پروکسی
پروکسی | پروکسی | پروکسی
پروکسی | پروکسی | پروکسی
پروکسی | پروکسی | پروکسی
پروکسی | پروکسی
➖➖➖➖ ➖➖➖➖
🐳…
دونالد ترامپ، رئیسجمهور آمریکا، انگار با اسم هوش مصنوعی (Artificial Intelligence) حال نمیکنه و معتقده این عبارت دیگه جواب نمیده!
املاکی پیشنهاد داده از این به بعد کلاس کار رو ببریم بالاتر و روی این حوزه، اسمهای دهنپرکنی مثل هوش برتر (Superior Intelligence)،
هوش مفرط (Extreme Intelligence) یا اصلاً هوش اعلا (Supreme Intelligence) رو بذاریم.
حالا برای اینکه کار رو یه سره کنه، خودش آستین بالا زده و یه نظرسنجی را…
🤣44😐30👍6❤3🐳1
Signed صدف 🐚
Showing the 12 most recent of 453 posts we hold for @YamYamProxy. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
چکار کنم؟
این ماه ۱۰۰۰ اشتراک فروخته شده داخل ربات
ولی فقط چند نفر شرکت کردن
چالش رو تمدید کن13%
همینا خوبه15%
از تاکتیک های ناشناخته استفاده کن28%
نه نون داریم نه بنزین...م تو فلسطین70%
The shares total 126%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 127%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 453 most recent posts we hold, published 4 August 2026 to 21 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 12 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.
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.
ZingHup|زینگ هاپ @ZingHup · 1,134 (as read 23 August 2026)#1
Read from Telegram’s recommendation API, most recently 23 August 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.
پارادایز @Paradiseoffiicial · 25,302 Telegram ranks this channel #4 of 77 here — alongside 76 others — read 14 September 2026
𝗟𝗶𝘁𝘁𝗹𝗲 𝗣𝗿𝗶𝗻𝗰𝗲 | کتاب @LittlePrinceChnl · 55,231 Telegram ranks this channel #74 of 81 here — alongside 80 others — read 23 August 2026
This channel appears in 2 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
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.