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 23 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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
10 measurements spanning 79 days, net -10. 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 227–244 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 09:17
229
-1
27 Oct 2026, 19:40
230
-2
19 Oct 2026, 20:56
232
-2
13 Oct 2026, 01:35
234
-4
17 Sept 2026, 16:56
238
-1
9 Sept 2026, 07:42
239
-1
31 Aug 2026, 17:16
240
-2
25 Aug 2026, 04:35
242
+3
17 Aug 2026, 13:17
239
no change
16 Aug 2026, 19:31
239
first reading
Engagement
14 posts held, back to 18 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 1 page 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 14 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 00s
Average length
6m 00s
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
160 reactions across 9 posts, in 14 distinct kinds. The most used accounts for 19.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👏
31
19.4%
🤯
31
19.4%
👍
30
18.8%
👌
16
10.0%
❤
13
8.13%
🏆
8
5.00%
🤔
6
3.75%
🆒
5
3.13%
👀
5
3.13%
🤝
5
3.13%
😐
4
2.50%
🙏
3
1.88%
🥴
2
1.25%
😁
1
0.625%
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 9 of the 14 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 160 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 18 May 2026 to 8 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.
🚨 مایکروسافت درباره یک تهدید جدید هشدار داد
مایکروسافت از شناسایی حمله‌ای جدید خبر داده که از شبکه BNB Smart Chain برای توزیع دستورات بدافزاری استفاده می‌کند.
🔹 مهاجمان با تکنیکی به نام EtherHiding، دستورات مخرب را داخل ادرس کانترکت های BNB Chain قرار می دهند.
🔹 در این حملات، صفحات جعلی CAPTCHA از کاربر می‌خواهند کلیدهای Windows + R را بزند، یک فرمان از پیش آماده را با Ctrl + V وارد کند و سپس Enter بزند؛ در نتیجه، …
📌 دزدی بی‌صدا موقع ترید؛ ربات‌های
ساندویچی چطور جیب شما را می‌زنند؟
تا حالا شده در صرافی‌های غیرمتمرکز (DEX) خرید بزنید و ببینید بلافاصله قیمت چند درصد افت کرد؟ این یک نوسان طبیعی نیست؛ شما طعمه حمله ساندویچی (Sandwich Attack) شده‌اید!
🤖 ربات‌های MEV چطور سود می‌دزدند؟
۱. شناسایی: سفارش شما را قبل از تأیید در صف شبکه (Mempool) می‌بینند.
۲. پیش‌دستی: با کارمزد بالاتر، سریع‌تر از شما می‌خرند تا قیمت بالا برود.
۳. …
سلام به همگی 👋
بعد از یه مدت کم‌کاری و دوری، تصمیم دارم فعالیت کانال رو دوباره و این‌بار با یک برنامه‌ریزی منظم و هدفمند شروع کنم.
برای اینکه محتوای آینده دقیقاً همون چیزی باشه که به کارتون میاد و به عمیقتر شدن دیدگاهتون کمک می‌کنه، می‌خوام نظر خودتون رو بدونم. دوست دارین محتوای سریالی اینده کانال بیشتر روی چه موضوعی تمرکز داشته باشه؟
🚨 هشدار امنیتی
شرکت Microsoft بدافزاری با نام CryptoBandits را شناسایی کرده که از طریق USB منتشر می‌شود.
این بدافزار پس از اتصال فلش آلوده به سیستم:
🔹 آدرس کیف پولی که کپی می‌کنید را با آدرس مهاجم جایگزین می‌کند.
🔹 عبارت بازیابی (Seed Phrase) و اطلاعات حساس کیف پول را سرقت می‌کند.
🔹 می‌تواند منجر به از دست رفتن کامل دارایی‌های کریپتوی شود.
🛡 توصیه‌های امنیتی:
• از اتصال فلش‌های ناشناس به رایانه خودداری کنید.
• پیش …
Btc usdt
دو تا از سناریو هایی که برای اینده قیمت بیت کوین متصور هستم رو طی عکس 1و2
نشون دادم ...
به نظر میرسه رفتار قیمت رو طی این نزول در دو الی سه درایو مجزا ببینیم ...
تفاوت بین سناریو ها ، اینگالف شدن یا نا توانی در اینگالف پیوت رو هستش
49050
همونطور که در نمودار ها میبینین ؛
طی این نزول، اکثریت فقط در حال خرید بودند.
قیمت نزول میکرد و بخشی از معامله گر ها با
این تصور که بازار در حال تخفیف دادن هستش در قیمت‌های به ظاهر ارزان‌تر خرید می‌کردند.
این پارادوکس در نقدینگی و نمودارها همچنان همون جمله قدیمی را تأیید می‌کنند:
وقتی همه می‌خرند، بفروشین و زمانی که همه می‌فروشند، بخرید ...
جمله‌ای که گفتنش آسونه
اما عمل کردنش شاید یکی از سخت‌ترین کارهای ممکن باشه …
https://youtu.be/q9y0mn7QSmk?si=AElUBjHPw91FQdoE
این ویدیو از تیم انتن دقیقا منو یاد پروسه ای که تو کریپتو اتفاق افتاده ...
منتها بعد از حباب دات کام دنیا تجربه ای تو این موضوع داشته
برای همین بر خلاف حباب دات کام که یه شبه تو بازه کوتاه و پشت هم اتفاق افتاده
بازار کریپتو به تدریج و طی چند سال اون حباب حرکت ولیه شو از دست داده
اخرین موج کریپتو همین ماجرای ایر دراپ ها بوده
که اخرین حجم نقدینگی برای این بازار بوده
از…
Showing the 12 most recent of 14 posts we hold for @RahnegarR. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
uniquegold|یونیک گلد @uniquegoldd · 108,490 Telegram ranks this channel #19 of 60 here — alongside 59 others — read 16 August 2026
خبرفوری 🔖 @khabbar_fouri · 22,737 Telegram ranks this channel #32 of 48 here — alongside 47 others — read 19 September 2026
سیگنال فارکس ARAD @ARAD_FOREEX · 21,952 Telegram ranks this channel #39 of 65 here — alongside 64 others — read 7 September 2026
تحلیل بیت‌کوین طالس @ProfessionalBitcoinDaily · 22,942 Telegram ranks this channel #72 of 89 here — alongside 88 others — read 17 September 2026
This channel appears in 4 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Rahnegar (ره نگار)” (@RahnegarR), 229 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/RahnegarR.
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.
