Film & TV — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
12 measurements spanning 42 days, net +54. 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 6,964–7,034 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 13:55
7,026
+7
10 Sept 2026, 00:37
7,019
+17
5 Sept 2026, 03:40
7,002
+2
1 Sept 2026, 05:16
7,000
-3
28 Aug 2026, 18:44
7,003
+10
22 Aug 2026, 19:59
6,993
-5
19 Aug 2026, 15:03
6,998
+11
16 Aug 2026, 17:58
6,987
+6
13 Aug 2026, 07:05
6,981
-6
10 Aug 2026, 08:11
6,987
+15
7 Aug 2026, 01:30
6,972
no change
7 Aug 2026, 01:18
6,972
first reading
Engagement
23 posts held, back to 13 July 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 12 pages 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 23 posts for this entry, the most recent from 14 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 38s
Average length
49s
Measured directly from 2 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
2,754 reactions across 23 posts, in 17 distinct kinds. The most used accounts for 54.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,493
54.2%
🔥
735
26.7%
👍
346
12.6%
😎
41
1.49%
😁
31
1.13%
😢
23
0.835%
🤨
20
0.726%
🥰
20
0.726%
❤🔥
18
0.654%
😱
8
0.29%
👏
5
0.182%
👌
4
0.145%
🫡
4
0.145%
🍓
3
0.109%
☃
1
0.036%
🤷♂
1
0.036%
🥱
1
0.036%
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 23 of the 23 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 2,754 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 13 July 2026 to 14 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.
Також пропонуємо до вашої уваги мелодраму під назвою "Мишоловка" ☺️
Реліз підготовлено на замовлення сайту 💥ЮаКіно💥
Сюжет: 20-річна студентка коледжу Марго підробляє в буфеті місцевого кінотеатру, де знайомиться з 33-річним Робертом — мовчазним і трохи незграбним постійним глядачем. Між ними починається легкий флірт, як згодом переростає в інтенсивне листування. У текстових повідомленнях Роберт розкривається як дот…
Також до вашої уваги мелодраматична комедія під назвою "Настроювач"😏
Реліз підготовлено на замовлення сайту 💥ЮаКіно💥
Сюжет: Нікі — талановитий настроювач піаніно, чий винятковий музичний слух допомагає йому бездоганно відчувати кожен інструмент. Проте незвичайний дар відкриває перед ним зовсім інший світ, коли він виявляє, що його здібності ідеально підходять для зламування сейфів.
Опинившись втягнутим у небезпечну…
До вашої уваги драма від режисера Яна Комаса під назвою "Річниця"😎
Реліз підготовлено на замовлення сайту 💥ЮаКіно💥
Сюжет: Стрічка розповідає про родину Тейлорів, яка збирається у Джорджтауні, щоб відсвяткувати 25‑ту річницю шлюбу професорки Еллен та ресторатора Пола. Святкова атмосфера руйнується після появи Ліз — нареченої їхнього сина Джоша, колишньої студентки Еллен, яка приносить у подарунок книгу «Зміна: Новий…
Вечір добрий, шановні! Тримаємо вас в курсі стосовно перебігу роботи над Гранд Туром. 7 епізод вже перекладений, почали озвучувати. Реліз буде до кінця наступного тижня.🥃😎
Також сьогодні будуть публікації фільмів, які наш колектив переклав та озвучив на замовлення UaKino🥰
Ще раз доброго вечора! Повертаємося до нашого Гранд Туру. На часі 7 епізод вже в процесі перекладу. Підтримати реалізацію 3 сезону, можна за ось цим посиланням:
🚗Банка під "Гранд Тур s03"🛺
https://send.monobank.ua/jar/AX5nQTPeaC
Вечір добрий! До вашої уваги 6 епізод 3 сезону Гранд Тур ☺️
Проєкт реалізується за ГЛЯДАЦЬКОЇ ПІДТРИМКИ 😘
Сюжет: Троє чоловіків, які люблять життя, авто, розваги та добряче по дуркувати😁
PS - 🚀Вже на UaKino 🚀
Решта посилань робочі
Online: https://cutt.ly/2tTufzCj
Fex Online: https://cutt.ly/PyoeBHPJ
Fex для завантаження: https://cutt.ly/HyoeALZD
Toloka: https://cutt.ly/ftTyehsZ
🚗Банка під "Гранд Тур s03"
https:/…
Ще один сезон "Ферми" закрили. Висловлюємо всім велетенську подяку, що долучилися і підтримали реалізацію проєкту. Чекаємо тепер на 6 сезон💪
Підтримати В одне рило❤️
https://send.monobank.ua/jar/8N5Zogfmxi
Вечір добрий! Заключний епізод 5 сезону "Ферма Кларксона" 🥰
Проєкт реалізується за ГЛЯДАЦЬКОЇ ПІДТРИМКИ 😘
Сюжет: Жорстка пропаганда аграрного гумору здорової людини😁
PS - 🚀Вже на UaKino 🚀
Online: https://cutt.ly/Mt9tDiaQ
Fex Online: https://cutt.ly/NyyFKo8w
Fex для завантаження: https://cutt.ly/ZyyFnymq
Toloka: https://cutt.ly/Ct9j4NZv
Підтримати В одне рило❤️
https://send.monobank.ua/jar/8N5Zogfmxi
❤160🔥36👍6🫡3😎2☃1
Showing the 12 most recent of 23 posts we hold for @v_odne_rilo. 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
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 3 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.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Людина, якої ніколи не було (фільм, 1956)(uk.wikipedia.org) “…дубляж виконала студія «В одне рило» у 2024 році{{Cite web|url=https://t.me/v_odne_rilo/1772|title=В одне рило. Допис від 25 січня…” read 13 September 2026
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“☀️В одне рило☀️” (@v_odne_rilo), 7,026 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/v_odne_rilo.
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.