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 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 12 other registered channels. They sit inside a group of 464 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 108 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 12,799 comparable posts for this entry, running 16 January 2020 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Views and reactions moved apart
On 6 of the 319 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0050 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the keys clone_mutual · clone_source · view_reaction_decoupling, last confirmed 7 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 463 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
413 more channels are in this same group but not listed individually here.
Growth
28 measurements spanning 30 days, net -28,393. 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 1,649,606–1,686,517 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
4 Sept 2026, 22:21
1,653,865
-1,424
3 Sept 2026, 09:55
1,655,289
-1,087
2 Sept 2026, 03:27
1,656,376
-905
1 Sept 2026, 06:14
1,657,281
-865
31 Aug 2026, 06:57
1,658,146
-989
30 Aug 2026, 03:54
1,659,135
-637
29 Aug 2026, 01:17
1,659,772
-1,250
27 Aug 2026, 22:26
1,661,022
-625
27 Aug 2026, 01:24
1,661,647
-538
26 Aug 2026, 03:23
1,662,185
-891
25 Aug 2026, 04:04
1,663,076
-803
23 Aug 2026, 23:45
1,663,879
-1,069
22 Aug 2026, 08:14
1,664,948
-2,142
20 Aug 2026, 21:44
1,667,090
-1,379
20 Aug 2026, 00:51
1,668,469
-596
19 Aug 2026, 01:28
1,669,065
-942
17 Aug 2026, 22:37
1,670,007
-951
16 Aug 2026, 20:35
1,670,958
-1,150
15 Aug 2026, 12:57
1,672,108
-1,794
13 Aug 2026, 22:37
1,673,902
first reading
Engagement
15,074 posts held, back to 13 October 2017 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 1,165 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.25%
avg views ÷ 1,653,865 subscribers
Avg views / post
37,200
318 posts measured
Reaction rate
0.843%
reactions ÷ views · ER floor
Posts in window
318
of 15,074 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 7 September 2026
Posts held
15,074 (13 October 2017 – 7 September 2026)
Views total
11,832,500
Reactions total
99,802
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 12:56 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
≈12,800
Videos
≈1,590
Links
≈6,690
Lifetime counters from Telegram’s own channel header, read 7 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
35m 40s
Average length
36s
Measured directly from 60 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 320 of this channel’s own posts over the last 30 days (4 of the 24-hour readings behind this are interpolated, not measured directly): across 305 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 6.0 hours of being posted; a typical post has already reached 24.6% of its 24-hour view count within the first hour, and 67.8% within the first six; the median 24-hour reach across those posts is 27,300 views — 1.65% of this channel’s own subscriber count (90th percentile 33,120).
8 most recently posted, with a view-velocity reading
60 minutes: 6,543 interp. → 3.0 hours: 14,100 → 6.0 hours: 18,100 → 12 hours: 20,400still climbing at last reading
not yet at 24h
3.0 hoursprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
111,017 reactions across 349 posts, in 14 distinct kinds. The most used accounts for 29.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
32,435
29.2%
😁
21,520
19.4%
💔
15,267
13.8%
👍
13,919
12.5%
👎
10,347
9.32%
🔥
5,358
4.83%
🤬
4,818
4.34%
🤯
4,355
3.92%
😢
774
0.697%
😱
677
0.61%
👏
645
0.581%
🤔
485
0.437%
🥰
325
0.293%
🙏
92
0.083%
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 1,000 of the 1,000 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 327,560 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 April 2026 to 7 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.
🔴 شاید التیامی برای بازار متلاطم موبایل؛ ثبت سفارش واردات دوباره باز شد
▪️بعد از حدود ۶ ماه توقف، ثبت سفارش جدید و ویرایش سفارش های قبلی گوشی در سامانه جامع تجارت دوباره امکان پذیر شد ؛ در مرحله اول، واردکننده ها فقط به اندازه یک هشتم میانگین سابقه واردات سال های ۱۴۰۳ و ۱۴۰۴ امکان ثبت سفارش دارن.
▪️فعلا ثبت سفارش گوشی های زیر ۴۰۰ یورو امکان پذیره و واردات گوشی های گران تر و پرچمدارها همچنان محدود خواهد بود.
+ قیمت…
⭕️ بزرگترین صحنه رقابتهای فنی و حرفهای کشور، جایی برای نمایش تخصص جوانان ماهر در استانداردهای نزدیک به سطح جهانی.
🔸 انجمن تجارت الکترونیک به همراه آروانکلاد، اسپارا، بیتپین، جیبیت، دیجیکالا و لیان کپیتال، حامی رشتههای فناوری اطلاعات این دوره هستیم:
توسعه نرمافزار | امنیت سایبری | مدیریت سیستمهای شبکه | پردازش ابری | فناوریهای وب | توسعه اپلیکیشن موبایل | طراحی گرافیک | رباتیک
⏳ مهلت ثبتنام: تا ۳۱ شهریور
…
📺 5 چنل یوتیوب ، اگه میخوای ادیت یاد بگیری ولی نوبی 🤭
▪️به جای اینکه بری تو یوتیوب بشینی عشق ابدی نگاه کن ، برو محتوای این چندتا چنل یوتیوب رو دنبال کن ، بهت قول میدم از صد تا پکیج و دوره ادیت بهتره!
1️⃣چنل Justin Odisho
همین اولین چنل واسه تازه کاراست ، پریمیر یاد میده خوبم یاد میده ، سریع هم یاد میده! باهاش از تکنیک های موزیک ویدیویی تا سبک اینستاگرامی رو یاد میگیرید.
2️⃣چنل Joey Edits
بیس نرمافزاری که یاد می…
🤖 تا چند ماه دیگر، AI Agentها بخش بزرگی از کارهای روزمره را انجام میدهند...
سؤال اینجاست؛ شما کاربر آنها هستید یا سازندهشان؟
در دوره ساخت AI Agent های تصمیمگیر با N8N و LangChain یاد میگیرید Agentهای هوشمندی بسازید که:
⚡ تصمیم بگیرند
⚡ وظایف را بهصورت خودکار انجام دهند
⚡ با ابزارها و APIهای مختلف ارتباط برقرار کنند
⚡ برای کسبوکارها راهکارهای واقعی ایجاد کنند.
این مهارتی است که امروز شرکتها به دنبال آن هستند…
وقتی آمبولانس از پشت سر به تاکسی سایبرکب نزدیک میشه، ماشین به صورت خودکار میره کنار تا راه آمبولانس باز بشه :/
آدم حس میکنه این تاکسی های سایبرک دیگه تهِ تکنولوژیه...!
@RoidBest
📺 ویدیوهای چندساعته یوتیوب رو تو چند دقیقه قورت بده!
📰گاهی یه ویدیوی ۲ یا ۳ ساعته پر از اطلاعات مفیده، ولی واقعا وقت نداریم بشینیم کامل ببینیمش؛ مخصوصا وقتی ویدیو انگلیسی باشه.
📰با این روش میتونی متن کامل ویدیو + زمان بندی بخش ها رو استخراج کنی و بعد بدی به هوش مصنوعی تا برات خلاصه اش کنه.
1️⃣لینک ویدیوی یوتیوب رو داخل یک ابزار استخراج Transcript وارد کن و متن ویدیو رو بگیر.
🔄Website
2️⃣موقع دریافت متن، گزینه Tim…
همهچیز برای مدرسه! 🎒
از دیجیکالا بخر، با اعتبار بلوجونیور!
تمام وسایل مدرسه رو در یک خرید، اقساطی و بدون دردسر تهیه کن. 🛍
😊لینک خرید از سایت دیجیکالا
برای شروع مدرسه آماده شو!
🔥معرفی 6 مگا پرامپت برای تبدیل ChatGPT به یک مشاور بیزینس!
1⃣ ساخت مدل درآمدی پایدار!
به عنوان مشاور مالی و استراتژیک کسب و کارهای آنلاین بهم کمک کن یک مدل درآمدی پایدار طراحی کنم اطلاعات فعلی بیزینسم رو بهت میدم تو بر اساسش تحلیل کن و بهم بگو چه روشهای درآمدی دیگه ای میتونم اضافه کنم که وابستگی من به فقط یک محصول یا سرویس کم بشه مدل درآمدی پیشنهادی باید قابل پیاده سازی مقیاس پذیر و هوشمند باشه
اطلاعات پایه بیزینس…
فیچرهای AI؛ سکوی پرتاب محصول یا هدررفت منابع؟
افزودن یک قابلیت AI به محصول، فقط به جذاببودن ایده ختم نمیشه. ممکنه یک فیچر توی دمو فوقالعاده به نظر برسه، اما وقتی وارد محصول واقعی بشه، نهتنها ارزش مورد انتظار رو ایجاد نکنه، بلکه زمان و منابع زیادی هم از تیم بگیره.
بهتره قبل از پیادهسازی، به چند سوال مهم پاسخ بدیم:
این قابلیت قراره کدوم مسئله کاربر رو حل کنه؟
با افزودنش، کدوم شاخص محصول بهتر میشه؟
برای پیادهس…
🔥مدل های GPT-6 Astra و Claude Fable 5.1 رو رایگان تست کنید!
📰دو تا از جدیدترین مدل های OpenAI و Anthropic حالا از طریق بعضی AI Routerها قابل تست هستن و میتونید بدون خرید اشتراک مستقیم، عملکردشون رو امتحان کنید.
➡️GPT-6 Astra
➡️Claude Fable 5.1
+ هر دو مدل برای کارهای سنگین مثل کدنویسی، استدلال، تحقیق و کارهای چندمرحله ای ساخته شدن.
++ اگه دنبال تست این مدل ها هستید، قبل از خرید اشتراک میتونید با چند پرامپت سخت و …
👎83❤49👍11🤬1
Showing the 12 most recent of 15,074 posts we hold for @roidbest. 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.
Posts edited after publishing
@roidbest edited 15 posts 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
8 August 2026
Most recent edit
7 September 2026
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 52 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
26
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
26
vacant every time we have ever looked
@roidbest named 26 handles 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.
@takbest named in 315 posts, 8 August 2026 – 8 August 2026
@instapicobot named in 9 posts, 8 August 2026 – 8 August 2026
@pawsog_bot named in 5 posts, 8 August 2026 – 8 August 2026
@roidbeat named in 4 posts, 8 August 2026 – 8 August 2026
@roidbes named in 3 posts, 8 August 2026 – 8 August 2026
@virustotalav_bot named in 2 posts, 8 August 2026 – 8 August 2026
@canva named in 2 posts, 8 August 2026 – 8 August 2026
@roid_admin named in 2 posts, 8 August 2026 – 8 August 2026
@roidbesr named in 2 posts, 8 August 2026 – 8 August 2026
@pavel named in 1 post, 8 August 2026 – 8 August 2026
@instapici named in 1 post, 8 August 2026 – 8 August 2026
@raghs_honar named in 1 post, 8 August 2026 – 8 August 2026
@ro8dbest named in 1 post, 8 August 2026 – 8 August 2026
@uptotgbot named in 1 post, 8 August 2026 – 8 August 2026
@insapico named in 1 post, 8 August 2026 – 8 August 2026
@roidbeet named in 1 post, 8 August 2026 – 8 August 2026
@game_universs named in 1 post, 8 August 2026 – 8 August 2026
@aminbarrzegar named in 1 post, 8 August 2026 – 8 August 2026
@roidnest named in 1 post, 8 August 2026 – 8 August 2026
@roifbest named in 1 post, 8 August 2026 – 8 August 2026
@roixbest named in 1 post, 8 August 2026 – 8 August 2026
@seo_for_managers named in 1 post, 8 August 2026 – 8 August 2026
@social_maana named in 1 post, 8 August 2026 – 8 August 2026
@baran_tarahi named in 1 post, 8 August 2026 – 8 August 2026
@khalaji_fooroosh named in 1 post, 8 August 2026 – 8 August 2026
@marknama named in 1 post, 8 August 2026 – 8 August 2026
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.
Read from Telegram’s recommendation API, most recently 8 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.
NimCllub VPN @nimcllub · 127,973 Telegram ranks this channel #1 of 59 here — alongside 58 others — read 5 September 2026
خرید کانفیگ ویتوری وایرگارد @vpntv · 319,054 Telegram ranks this channel #1 of 33 here — alongside 32 others — read 1 September 2026
عصر گویش | هوش مصنوعی @asrgooyeshpardaz · 100,307 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 24 August 2026
آکادمی آیولرن | هوش مصنوعی و برنامه نویسی @aiolearn · 161,775 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 24 August 2026
تولید محتوا |هوش مصنوعی| زنگ دانش @zangedanesh · 59,453 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 22 August 2026
اینترنت آزاد | SPDNET VIP ⚡️ @spdnetVIP · 60,020 Telegram ranks this channel #1 of 40 here — alongside 39 others — read 22 August 2026
میلی تک | Militech @militech_ir · 104,474 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 15 August 2026
[ روزمرگی اقتصاد ] @roozecoo · 104,152 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 14 August 2026
تکنولوژی،خبری،هوش مصنوعی، @ITSecurityComputer · 177,752 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 12 August 2026
Arshya @xArshya · 35,072 Telegram ranks this channel #2 of 37 here — alongside 36 others — read 2 September 2026
OXNET CHANNEL @oxnet_ir · 47,642 Telegram ranks this channel #2 of 47 here — alongside 46 others — read 30 August 2026
هوش مصنوعی [ AI ] @iFutureAI · 43,565 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 28 August 2026
Passer VPN @PasserMobile01 · 65,316 Telegram ranks this channel #2 of 66 here — alongside 65 others — read 21 August 2026
ترفند آموزش تکنولوژی و فناوری @CEngineer93 · 101,298 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 15 August 2026
دانشجو برتر 🎓 @danshjo_bartar · 100,141 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 15 August 2026
بیتکوین سیگنال ارزدیجیتال @news_farsi_airdrop · 126,555 Telegram ranks this channel #2 of 52 here — alongside 51 others — read 13 August 2026
تکنولوژی + خبرای مهم با پیام @payam_nsi · 148,150 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 12 August 2026
VPN CLUB @wbnet · 229,526 Telegram ranks this channel #2 of 70 here — alongside 69 others — read 11 August 2026
اینترنت آزاد | SPD Net @spdnet · 541,098 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 11 August 2026
پرامپت | هوش مصنوعی @promptfre · 443,745 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 10 August 2026
هوش مصنوعی و تکنولوژی |موب سک @mobsec_ai · 491,760 Telegram ranks this channel #2 of 75 here — alongside 74 others — read 10 August 2026
هوش مصنوعی | تکنولوژی @Farda_Ai · 758,964 Telegram ranks this channel #2 of 78 here — alongside 77 others — read 8 August 2026
Blue Moon @bluemoon · 35,129 Telegram ranks this channel #3 of 56 here — alongside 55 others — read 2 September 2026
نیما نیکخواه | یوتیوب گرام 💎 @YouTube_Graam · 148,481 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 28 August 2026
This channel appears in 994 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
408 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“کانال دانلود تکنولوژی هوش مصنوعی” (@roidbest), 1,653,865 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/roidbest.
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.