10 measurements spanning 23 days, net +934. 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
Measured (UTC)
Subscribers
Change
30 Aug 2026, 00:55
9,945
+989
27 Aug 2026, 02:13
8,956
-6
23 Aug 2026, 21:03
8,962
-14
20 Aug 2026, 06:04
8,976
-5
16 Aug 2026, 21:53
8,981
-9
13 Aug 2026, 11:25
8,990
-14
10 Aug 2026, 00:30
9,004
-11
7 Aug 2026, 02:21
9,015
+4
6 Aug 2026, 14:30
9,011
no change
6 Aug 2026, 14:23
9,011
first reading
Engagement
25 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 34 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.76%
avg views ÷ 9,945 subscribers
Avg views / post
672
5 posts measured
Reaction rate
2.17%
reactions ÷ views · ER floor
Posts in window
5
of 25 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
25 (13 December 2025 – 27 August 2026)
Views total
3,360
Reactions total
73
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 15:49 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
10m 40s
Average length
1m 20s
Measured directly from 8 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
677 reactions across 25 posts, in 14 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
❤
241
35.6%
👍
185
27.3%
🆒
78
11.5%
🔥
44
6.50%
😍
35
5.17%
🎄
27
3.99%
❤🔥
22
3.25%
🎉
18
2.66%
💯
15
2.22%
👌
4
0.591%
👏
3
0.443%
👨💻
3
0.443%
💔
1
0.148%
😢
1
0.148%
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 25 of the 25 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 677reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 13 December 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.
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فقط تا ۸ شهریور فرصت داری؛ از طریق لینک زیر آموزش دلخواهت رو …
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🧠 پژوهشگران مونپلیه فرانسه در آزمایشی میان نوروساینس، هوش مصنوعی و رباتیک، نشان دادند که برشهای زنده از قشر مغز انسان پس از مرگ میتوانند نوعی یادگیری را تجربه کنند. بافت مغزی که حداکثر ۱۲ ساعت پس از مرگ اهداکنندگان استخراج شده بود، به الکترودها، یک دست رباتیک و پیانوی الکترونیکی متصل شد. پس از سه روز آموزش، بافت توانست ارتباط میان ورودیهای حسی و پاسخهای حرکتی را تا حدی یاد بگیرد و عملک…
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#هوش_مصنوعی #ai #خبر
رباتیک و مبارزات قفس 🥊🔥
🤖 به تازگی یک لیگ مبارزات قفس برای رباتهای انساننما در چین برگزار شده که هیجان اون کمتر از مبارزات قفس انسانی نیست!
در لیگ URKL هر فایتر یک ربات T800 واقعیست که حرکات و تکنیکهای مبارزه توسط تیم نرمافزار روی ربات برنامه نویسی شده و از الگوریتمهای پردازش تصویر و حتی هوش مصنوعی هم استفاده میشه. همچنین یک اپراتور انسانی هم برای مواقع لازم میتونه ربات رو کنترل کنه. جایزه …
#هوش_مصنوعی #آموزش #ایده
📀 با کمک پرامپت زیر میتونین مدل موهای مختلف رو روی چهره خودتون تست کنین 💇♂️
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#هوش_مصنوعی #ai #خبر
🎮 قابل توجه علاقهمندان گیم
📽 ویدیویی که مشاهده میکنین یک بازی تیراندازی اولشخص با تم فضایی هست که کاملا با هوش مصنوعی GPT-5.6 Sol و فقط در ۲۵ دقیقه ساخته شده. این بازی با استفاده از کتابخانهی Three.js طراحی شده و دارای کنترل روان و بافتهای گرافیکی باکیفیت است. شرکت اوپنایآی، مدل GPT-5.6 Sol را قدرتمندترین مدل خود معرفی کرده که برای انجام کارهای پیچیده و همکاری با توسعهدهندگان بهینه شده است…
#هوش_مصنوعی #ai #خبر
🎧 جیپیتی لایو (GPT-Live) معرفی شد🔥
🏢 شرکت OpenAI مدل جدیدی به نام GPT-Live رو منتشر کرده که حالت صوتی این مدل مثل یک فرد واقعی در مکالمه به نظر میرسه. این دستیار هوش مصنوعی میتونه همزمان صحبت کنه، گوش کنه، فکر کنه، منتظر اتمام مکالمه شما و پاسخ باشه. حتی این مدل هوش مصنوعی با گفتن عباراتی مثل "هممم" حس واقعیتر رو برای گفتگو ایجاد میکنه. وقتی شما به لحظهای برای فکر کردن نیاز دارین، ساکت میشه و…
#هوش_مصنوعی #ai #خبر
🔒 کاخ سفید انتشار GPT-5.6 را متوقف کرد!
📄 دولت آمریکا از OpenAI خواسته است به دلیل نگرانیهای امنیتی، عرضه عمومی مدل GPT-5.6 را به تعویق بیندازد. بر اساس گزارش اینفورمیشن، این مدل در مرحله نخست تنها در اختیار گروه محدودی از شرکای OpenAI قرار میگیرد و دسترسی کاربران در دوره آزمایشی با تأیید دولت آمریکا انجام خواهد شد. این اقدام بخشی از رویکرد جدید دولت آمریکا برای نظارت بر انتشار مدلهای پیشرفته …
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❤31👍1
Showing the 12 most recent of 25 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.
Citation-graph rank
Citation-graph rank — 240,950 of 1,626,935entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 6 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.
آموزش کامل مقاله نويسی با هوش مصنوعی @tephd5 · 56,676 Telegram ranks this channel #17 of 81 here — alongside 80 others — read 23 August 2026
آموزش پایان نامه و مقاله نویسی پژوهه @pajoohehgroup · 60,979 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 22 August 2026
کتابخانه انگلیسی من🎧😍 @EnglishAudioLibrary · 40,920 Telegram ranks this channel #26 of 83 here — alongside 82 others — read 30 August 2026
Data Science | علم داده @DataScience_ir · 49,655 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 25 August 2026
هوش مصنوعی در پژوهش @AI_in_Research · 245,312 Telegram ranks this channel #38 of 92 here — alongside 91 others — read 19 August 2026
Computer Science | علم کامپیوتر @Computer_Science100 · 46,397 Telegram ranks this channel #43 of 74 here — alongside 73 others — read 27 August 2026
آکادمی آیولرن | هوش مصنوعی و برنامه نویسی @aiolearn · 162,323 Telegram ranks this channel #47 of 86 here — alongside 85 others — read 24 August 2026
تولید محتوا |هوش مصنوعی| زنگ دانش @zangedanesh · 59,426 Telegram ranks this channel #48 of 85 here — alongside 84 others — read 22 August 2026
عصر گویش | هوش مصنوعی @asrgooyeshpardaz · 100,515 Telegram ranks this channel #49 of 89 here — alongside 88 others — read 24 August 2026
بانک مقالات، پروپوزال و پایاننامه @tephd6 · 45,085 Telegram ranks this channel #52 of 88 here — alongside 87 others — read 27 August 2026
آموزش برنامه نویسی و هوشمصنوعی | Max academy @max_academy · 70,656 Telegram ranks this channel #52 of 83 here — alongside 82 others — read 20 August 2026
مهندسی کامپیوتر @maghalecomputer · 60,138 Telegram ranks this channel #56 of 85 here — alongside 84 others — read 22 August 2026
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 77,941 Telegram ranks this channel #59 of 87 here — alongside 86 others — read 19 August 2026
استخدامی ICDL فناوری اطلاعات کامپیوتر @ICDL100 · 65,461 Telegram ranks this channel #69 of 91 here — alongside 90 others — read 21 August 2026
پاسخ آزمون های نهاد | دروس معارف @Drs_maref · 50,120 Telegram ranks this channel #75 of 91 here — alongside 90 others — read 25 August 2026
مهندس یار @mohandesyar · 65,177 Telegram ranks this channel #86 of 90 here — alongside 89 others — read 21 August 2026
This channel appears in 16 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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“OpenCV | Python” (@OpenCV_olc), 9,945 subscribers as measured 30 August 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.