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 10 September 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
29 measurements spanning 34 days, net -564. 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 21,606–22,340 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
10 Sept 2026, 17:01
21,691
-35
7 Sept 2026, 16:21
21,726
-12
4 Sept 2026, 18:57
21,738
-30
3 Sept 2026, 01:34
21,768
-7
2 Sept 2026, 01:02
21,775
-11
1 Sept 2026, 02:04
21,786
-19
31 Aug 2026, 00:38
21,805
-15
30 Aug 2026, 00:27
21,820
-26
29 Aug 2026, 01:48
21,846
-16
28 Aug 2026, 03:04
21,862
-35
27 Aug 2026, 01:08
21,897
-19
26 Aug 2026, 00:02
21,916
-11
25 Aug 2026, 02:15
21,927
-13
23 Aug 2026, 13:27
21,940
-30
22 Aug 2026, 00:37
21,970
-22
20 Aug 2026, 19:02
21,992
-32
19 Aug 2026, 15:43
22,024
-18
18 Aug 2026, 17:03
22,042
-15
17 Aug 2026, 20:13
22,057
+14
16 Aug 2026, 22:17
22,043
first reading
Engagement
21 posts held, back to 16 August 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.59%
avg views ÷ 21,691 subscribers
Avg views / post
562
2 posts measured
Reaction rate
10.6%
reactions ÷ views · ER floor
Posts in window
2
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 27 August 2026
Posts held
21 (16 August 2025 – 27 August 2026)
Views total
1,124
Reactions total
119
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:35 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
Video runtime
1m 07s
Average length
1m 07s
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
1,450 reactions across 21 posts, in 14 distinct kinds. The most used accounts for 33.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
484
33.4%
🔥
343
23.7%
👍
275
19.0%
🤣
84
5.79%
🎉
74
5.10%
👏
64
4.41%
😍
59
4.07%
👎
30
2.07%
🤷♂
22
1.52%
🥰
6
0.414%
❤🔥
5
0.345%
🤩
2
0.138%
😁
1
0.069%
😢
1
0.069%
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 21 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 1,450 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 16 August 2025 to 27 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.
Telegram Stars
Stars received
24
across the posts below
Posts paid on
2
of 21 we hold a reading for · 10%
Most on one post
20
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @IRA_Team. 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 21 most recent posts we hold for this entry, published 16 August 2025 to 27 August 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.
⭐️ خدمات ما محدود به ربات های دانلودر نیست و ربات های هوش مصنوعی، چت ناشناس، بازی، خدمات مجازی و هر نوع ربات دیگه تو لیست خدمات ما هست.
⚡️ کیفیت کار ما با سایر دوستان بسیار متفاوت هست و اکثر چنل های بزرگ و تاپ برای طراحی ربات هاشون با ما کار میکنن، اگه دنبال بهترین کیفیت هستید جای دیگه نرید.
📞 جهت طراحی اختصاصی ربات های شما، با ما در ارتباط باشید:
⭐️ @AbolfazlKaj
⭐️ طراحی ربات های دانلودر، با بالاترین و بهترین کیفیت، در سریع ترین زمان ممکن!
💎 ساندکلود دانلودر
💎 اسپاتیفای دانلودر
💎 یوتیوب دانلودر
💎 اینستاگرام دانلودر
💎 تیکتاک دانلودر، 💎 توییتر دانلودر، 💎 پینترست دانلودر و ...
✅ تمامی دانلودرها با بالاترین کیفیت ممکن طراحی شدن و وب سرویس اونها بدون واسطه به صورت مستقیم متصل به پلتفرم مربوطه هست!
📞 جهت طراحی اختصاصی ربات های شما، با ما در ارتباط باشید:
⭐️ @AbolfazlKaj
🔴 بعضی از دوستان موقع نصب به مشکل خوردن و دیتابیس کامل نصب نشده، اگه توی دیتابیستون همه جدولها نبودن (حدود ۹ تا جدول) این رو جایگزین table.php داخل پوشه lib کنید و مجدد نصب کنید.
@IRA_Team
🥸 از این سورس میتونید به عنوان شاهکار یاد کنید، از بات های کانفیگ رایگانی که حداقل 20 30 میلیون خرج کد نویسیشون شده کامل تر و بهتره، و رایگان در خدمت شماست!
😃 یکی از خفن ترین قابلیت های این نسخه تغییر نام خودکار کانفیگه، وقتی براش کانفیگ میفرستید خودش اسم کانفیگ رو عوض میکنه و توی اسم آیدی رباتتون رو هم درج میکنه :)
💬 لیست تغییرات این نسخه با توضیحات کامل:
🔸 توی نسخه جدید جای این که دونه دونه کانفیگ بفرستید میتون…
📂 سورس ربات کانفیگ رایگان itVPN v2.0
📝زبان توسعه دهنده: PHP
📜 قابلیت های ربات:
✅ - سیستم رفرال پیشرفته
✅ - تنظیم سکه مورد نیاز VPN
✅ - مشاهده کانفیگها در بخش سرویسهای من
✅ - افزودن کانفیگ (vmess, vless, trojan, ss) از پنل مدیریت
✅ - تنظیم بینهایت کانال جوین اجباری
✅ - سیستم آمار پیشرفته و کامل
✅ - افزایش و کاهش سکه کاربر
✅ - ارسال پیام به کاربر و ارسال/فوروارد همگانی
✅ - تنظیم بخش های مختلف ربات از پنل مدیریت
✅…
😎 با آپدیت های تلگرام خودتو ربات هاتو آپدیت کن!
🥸 توی پارت قبلی بهتون یاد دادم چطور رنگ دکمه های رباتتونو عوض کنید، حالا توی پارت جدید میریم سراغ استفاده ایموجی پرمیوم در ربات :)
💎 ایموجی پرمیوم در دکمه های ربات:
🔩 توی آپدیت جدید تلگرام میتونید توی دکمه های رباتتون یا متن های ربات از ایموجی پرمیوم استفاده کنید، برای این کار کافیه اکانت تلگرام سازنده ربات پرمیوم تلگرام داشته باشه و از کلید icon_custom_emoji_id برای…
😎 با آپدیت های تلگرام خودتو ربات هاتو آپدیت کن!
🥸 تلگرام دوتا آپدیت خفن داده، یکی تغییر رنگ دکمه های ربات و یکی ایموجی پرمیوم توی دکمهها و متن های ربات، که توی این آموزش بهتون یاد میدم چطور استفاده کنید ازشون :)
🎨 تغییر رنگ دکمه های ربات:
🔩 توی آپدیت جدید تلگرام توی دکمه های رباتتون بجز text, callback_data و ... میتونید یه کلید جدید معرفی کنید به اسم 'style' که این استایل مقادیری مثل danger, success, primary میگ…
📂 سورس وب سرویس شناسایی پورن - itNsfw v1.0
📝زبان توسعه دهنده: PHP
📜 قابلیت ها:
✅ - نوشته شده با زبان PHP
✅ - خروجی کامل اطلاعات عکس
✅ - درصد اطمینان نتیجه
✅ - تشخیص دقیق نوع مدیا (Porn, Sexy, Neutral, Hentai, Drawing)
✅ - کد نویسی بهینه و مناسب
✅ - اطلاعات کامل و دقیق عکس
✅ - و ...
👨💻 این سورس توسط @AbolfazlKaj نوشته شده و در کانال @IRA_Team برای اولین بار منتشر شده ذکر منبع/نویسنده اجباریست!
📣 @IRA_Team
📂 سورس وب سرویس قیمت کریپتو (نوبیتکس) - itNobitex v1.0
📝زبان توسعه دهنده: PHP
📜 قابلیت ها:
✅ - نوشته شده با زبان PHP
✅ - خروجی اطلاعات ارز به صورت تومان و دلار
✅ - پشتیبانی از +400 ارز مختلف
✅ - خروجی تمیز، مرتب و حرفهای
✅ - کد نویسی بهینه و مناسب
✅ - اطلاعات کامل و دقیق ارز مورد نظر
✅ - خروجی سریع
✅ - و ...
👨💻 این سورس توسط @AbolfazlKaj نوشته شده و در کانال @IRA_Team برای اولین بار منتشر شده ذکر منبع/نویسنده ا…
خیلی یهویی داشتم یاد گذشتهها میکردم یاد یه رفیق قدیمی افتادم.
اونایی که مارو میشناسن میدونن قدمت ما از ۹۰ درصد چنلای سورس امروزی بیشتره. اون روزای اول که شروع کرده بودم یادگیری و ایجاد تیم و چنل و بات و ... یه بات ساز اپن سورس ران کرده بودم. یه بنده خدایی اومد اون رباتو هک کرد توکن بات مارو درآورد یه سری حرکت زد و این داستانا. ما رفتیم پیوی بنده خدا باهاش صحبت کردیم که چرا این حرکتو زدی بات مارو هک کردی و باهم بحث ک…
🤔 چطور سورس کد های داخل کانال رو نصب کنیم؟
🥸 سورس کد های داخل کانال معمولا برعکس سایر کانالها توسط خودم نوشته میشه و قرار میگیره، بنابراین روش نصب همشون تقریبا به یک شکله.
🤠 تو آخرین سورس کدی که داخل کانال قرار دادیم یه روش جدید رو پیاده سازی کردم، روشی که همه چیز خودکار انجام میشه بنابراین هردو روش رو بهتون یاد میدم:
1️⃣ نصب سورسها به روش قدیمی:
🔴 ابتدا وارد سیپنل بشید و از بخش DataBase Wizard یک دیتابیس ایجاد…
❤29🔥14👍13👏1
Signed [🌲]
Showing the 12 most recent of 21 posts we hold for @IRA_Team. 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 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 10 September 2026 — this
entry's latest reading, not the date you are reading this.
“آیرا تیم | سورس ربات” (@IRA_Team), 21,691 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/IRA_Team.
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.