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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
27 measurements spanning 95 days, net +71. 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 8,808–10,093 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
9 Nov 2026, 09:17
9,082
-1
6 Nov 2026, 10:36
9,083
+88
3 Nov 2026, 07:36
8,995
-29
31 Oct 2026, 16:00
9,024
-65
29 Oct 2026, 00:10
9,089
-65
25 Oct 2026, 21:21
9,154
-79
22 Oct 2026, 16:21
9,233
-88
19 Oct 2026, 02:09
9,321
-93
16 Oct 2026, 03:06
9,414
-59
13 Oct 2026, 04:01
9,473
-208
6 Oct 2026, 22:42
9,681
-219
30 Sept 2026, 03:58
9,900
+23
19 Sept 2026, 13:16
9,877
-15
15 Sept 2026, 07:37
9,892
-14
11 Sept 2026, 11:55
9,906
-16
7 Sept 2026, 00:01
9,922
-20
2 Sept 2026, 06:04
9,942
-3
30 Aug 2026, 00:55
9,945
+989
27 Aug 2026, 02:13
8,956
-6
23 Aug 2026, 21:03
8,962
first reading
Engagement
36 posts held, back to 13 December 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.67%
avg views ÷ 9,082 subscribers
Avg views / post
697
9 posts measured
Reaction rate
1.80%
reactions ÷ views · ER floor
Posts in window
9
of 36 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 9 November 2026
Posts held
36 (13 December 2025 – 9 November 2026)
Views total
6,273
Reactions total
113
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 12:19 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
357
Videos
219
Links
329
Lifetime counters from Telegram’s own channel header, read 11 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
15m 39s
Average length
1m 12s
Measured directly from 13 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
855 reactions across 36 posts, in 16 distinct kinds. The most used accounts for 35.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
304
35.6%
👍
225
26.3%
🆒
94
11.0%
🔥
58
6.78%
😍
47
5.50%
💯
33
3.86%
❤🔥
30
3.51%
🎄
27
3.16%
🎉
22
2.57%
👌
4
0.468%
👏
3
0.351%
👨💻
3
0.351%
💔
2
0.234%
✍
1
0.117%
😢
1
0.117%
🫡
1
0.117%
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 36 of the 36 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 855 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 13 December 2025 to 9 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 9 posts held from the last 30 days (11.1%) 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).
##هوش_مصنوعی #ai #خبر
🤖 ربات بادیگارد با قیمت ۲۵ هزار دلار!
🏢 بعد از شاهکار رباتهای T800، شرکت چینی Unitree از ربات انساننمای H2-X KungFu رونمایی کرد که با ترکیبی از حرکات کونگفو و علم رباتیک توانسته توجهات زیادی رو به خودش جلب کنه. این ربات با اجرای حرکت بک فلیپ، ضربات رزمی و... و همچنین پرش از ارتفاع ۴ متری، تواناییهای حرکتی چشمگیری به نمایش گذاشته.
🔪 این ربات در سناریوهای شبیهسازیشده، با مهاجم مسلح مقابله…
با مکتبخونه، بورسیهی دانشگاه هاروارد شو!
🎉 مکتبخونه به مناسبت تولد ۱۵ سالگیش یک قرعهکشی ویژه برگزار کرده؛
از بورسیه دوره آموزشی دانشگاه هاروارد به ارزش ۲۰۰۰ دلار گرفته تا اشتراک ChatGPT Plus و مکتبخونه داره جایزه میده.
🔥 علاوه بر جوایز قرعهکشی، تخفیفهای ویژه تولد مکتبخونه هم فعال شده:
▪️ ۸۰٪ تخفیف اشتراک یکساله
▪️ تا ۷۰٪ تخفیف دورههای آموزشی
⏳ مهلت: تا ۲۲ آبان
🔗 برای مشاهده جوایز و شرایط شرکت در قرعه…
##هوش_مصنوعی #خبر #آموزش
📽 تا حالا شده یک ویدیوی تبلیغاتی هوش مصنوعی یا ریلز واقعی ببینی و بخوای بدونی دقیقا چطور و با چه پرامپتی ساخته شده؟!
🎬 ابزار هوش مصنوعی Rea-Video میتونه ویدیوها رو فریم به فریم تحلیل کنه و جزئیاتی مثل حرکت دوربین، نورپردازی، افکتها، موسیقی و ترنزیشنها رو استخراج کنه و حتی برای هر سکانس، پرامپت و نحوه بازسازی اون سکانس رو تحلیل کنه و بازنویسی کنه تا با اون پرامپت بتونی ویدیوهای مشابه رو با ا…
💎 کانال آموزش هوشمصنوعی دانشگاه شریف
💡 @Ai_Tv
🎯دورههای رایگان به همراه گواهینامه
💡 @udemyforever
🎯آموزش برنامه نویسی و طراحی سایت
💡 @Computerr_Programming
🎯آموزش HTML | CSS و JavaScript + هوشمصنوعی در طراحی سایت
💡 @htmlcss_channels
🎯آموزش از برنامهنویسی تا هوش مصنوعی
💡 @Python_0to100
🎯آموزش شبکه و امنیت
💡 @DENAIT
🎯مسیر روشن برنامه نویسی
💡 @i_CODE
🎯قدیمی ترین کانال پایتون ایران
💡 @LearnPY
🎯دورهمی برنامهنو…
#هوش_مصنوعی #آموزش
💎 پرامپتهای خاص و کوتاه چت جیپیتی
👈 مشاهده مثال 👉
📜 A Collection of 25 of the Best and Most Exciting ChatGPT Prompts
🔻share with your friends🔻
🔹@OpenCV_olc🔹
#هوش_مصنوعی #ai #خبر
🤖 گوگل از Genie 4 رونمایی کرد. مدلی از هوش مصنوعی که میتونه دنیاهای مجازی تعاملی بسازه و به کاربران اجازه بده فقط با چند کلمه، محیط رو تغییر بدن!
🌍 از تغییر آبوهوا و اضافه کردن اشیای جدید گرفته تا تولید موسیقی و صداهای محیطی، همه چیز میتونه در لحظه اتفاق بیفته. این فناوری همچنین پتانسیل زیادی برای بازیسازی، تولید پیشنمایش فیلم و آزمایش رباتها در محیط مجازی داره.
📜 Google has unveiled Genie …
#هوش_مصنوعی #خبر
🐝 شرکت آمازون دستیار هوش مصنوعی پوشیدنی خودش رو معرفی کرد!
🏢 آمازون دو گجت هوش مصنوعی جدید به نامهای Bee Frontier و Bee Eclipse معرفی کرده که میتونن مکالمات روزمره رو ثبت و خلاصه کنن، کارهای مهم رو یادآوری کنن و حتی برای نوشتن ایمیل و مدیریت تقویم کمک کنن.
⌚️ مدل Frontier به لباس یا مچ دست وصل میشه و مدل Eclipse به پشت گوشی متصل میشه. قیمت این گجتها از حدود ۷۵ دلار شروع میشه و بعضی امکانات پیشرف…
#هوش_مصنوعی #ai #خبر
🤖 دیگه رباتها هم میتونن فقط با تماشا کردن یاد بگیرن!
🏢 شرکت Skild AI به تازگی از مدل جدید S1 رونمایی کرده که شیوه آموزش رباتها را عوض میکنه. به جای اینکه برای هر مهارت به ربات، کدنویسی و آموزش جداگانه داشته باشیم، کافیه انجام یک کار رو در قالب ویدیو بهش نشون بدیم. ربات s1 میتونه از روی همون ویدیو، کارهای چندمرحلهای مثل آمادهکردن قهوه، پخت پنکیک یا سرهمکردن قطعات را اجرا کنه و اگر شرایط حین …
#هوش_مصنوعی #ai #آموزش
✏️ عکست رو به یک نقاشی فان تبدیل کن!
به تازگی توی شبکههای اجتماعی یک سبک فان از تصویر راه افتاده که کاربران عکسهاشون رو به نقاشیهای ساده و کمی شلخته تبدیل میکنن، چیزی شبیه نقاشی بچهها 😄🎨
کافیه برای ساخت این تصاویر از پرامپت زیر استفاده کنین:
📜 A new social media trend is turning ordinary photos into cute, messy doodles that look like children’s drawings—in just a few minutes! 🎨
🧷 Prompt: Tu…
##هوش_مصنوعی #ai #خبر
🦆 ربات اردکی ۴۰۰ دلاری معرفی شد!
🤖 هاگینگفیس ربات میکروداک را به تازگی معرفی کرده است که یک ربات کوچک شبیه اردک که بهطور ویژه برای آموزش و تست الگوریتم یادگیری تقویتی (RL) طراحی شده است.
📜 این ربات تنها دو پا دارد، به یک منقار برای برداشتن اشیا و مجموعهای از حسگرها مجهز است. میتوان به آن آموزش داد که نور را دنبال کند، اشیا را پیدا و جمعآوری کند، به محیط اطراف واکنش نشان دهد و حتی حرکات نمایش…
👍14🔥2❤1
Showing the 12 most recent of 36 posts we hold for @OpenCV_olc. 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 recorded as deleted after publishing
We recorded 5 posts on @OpenCV_olc 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
9 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
2
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 22 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.
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.
مغز آینده |NextBrain @NextBrain_ir · 19,745 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 29 September 2026
پایتون | Data Science | Machine Learning @Python4all_pro · 24,119 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 16 September 2026
کتابخانه مهندسی کامپیوتر و پایتون @programmers_street · 30,945 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 6 September 2026
دوره های یودمی را رایگان بیاموزید و گواهینامه بگیرید. @udemyforever · 30,449 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 6 September 2026
آقای هوش مصنوعی @MrArtificialintelligence · 20,689 Telegram ranks this channel #10 of 94 here — alongside 93 others — read 26 September 2026
Learn Python @learnpy · 21,296 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 23 September 2026
اخبار هوش مصنوعی @Ai_NewsTv · 27,210 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 10 September 2026
هوش مصنوعی |یادگیری ماشین| علم داده @Ai_Tv · 26,540 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 12 September 2026
مجله هوش مصنوعی @HomeAI · 32,870 Telegram ranks this channel #15 of 91 here — alongside 90 others — read 5 September 2026
آموزش کامل مقاله نويسی با هوش مصنوعی @tephd5 · 55,164 Telegram ranks this channel #17 of 81 here — alongside 80 others — read 23 August 2026
خانه موبایل و کامپیوتر @PcAndMob · 23,817 Telegram ranks this channel #19 of 73 here — alongside 72 others — read 15 September 2026
آموزش پایان نامه و مقاله نویسی پژوهه @pajoohehgroup · 59,230 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 22 August 2026
آموزش کامپیوتر | رفع مشکلات کامپیوتری @tamirpc_com · 22,597 Telegram ranks this channel #24 of 72 here — alongside 71 others — read 19 September 2026
ژورنال آکادمیک @journalacademic · 26,504 Telegram ranks this channel #25 of 78 here — alongside 77 others — read 12 September 2026
کتابخانه انگلیسی من🎧😍 @EnglishAudioLibrary · 42,145 Telegram ranks this channel #26 of 83 here — alongside 82 others — read 30 August 2026
Power BI | تحلیل داده | SQL @PowerBI_ir · 22,001 Telegram ranks this channel #27 of 89 here — alongside 88 others — read 22 September 2026
DLeX: AI Python @ai_python · 21,294 Telegram ranks this channel #29 of 94 here — alongside 93 others — read 23 September 2026
Computer Help @P30_H3LP · 24,845 Telegram ranks this channel #29 of 76 here — alongside 75 others — read 14 September 2026
برنامه نویسی پایتون | هوش مصنوعی | دیتاساینس @persianovin_channel · 19,180 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 4 October 2026
Data Science | علم داده @DataScience_ir · 50,222 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 25 August 2026
هوش مصنوعی در پژوهش @AI_in_Research · 305,648 Telegram ranks this channel #38 of 92 here — alongside 91 others — read 19 August 2026
• AI & Python • @AIPyth0n · 22,537 Telegram ranks this channel #41 of 66 here — alongside 65 others — read 21 September 2026
Machine Learning | یادگیری ماشین @MachineLearning_ir · 34,710 Telegram ranks this channel #41 of 90 here — alongside 89 others — read 3 September 2026
Computer Science | علم کامپیوتر @Computer_Science100 · 46,750 Telegram ranks this channel #43 of 74 here — alongside 73 others — read 27 August 2026
This channel appears in 40 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.
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.
“OpenCV | Python” (@OpenCV_olc), 9,082 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/OpenCV_olc.
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.