Канал для тех, кто хочет в КИНО, но не готов страдать.
Кастинги‼️
Кастинг-директор с бокалом вина.
Любимые места,лайфхаки и немного здорового пофигизма.
Для связи - @MariAntikus
№ 6336798000
Created
Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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
62 measurements spanning 91 days, net +1,263. 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 13,233–14,877 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
6 Nov 2026, 03:48
14,687
+17
5 Nov 2026, 04:31
14,670
+18
4 Nov 2026, 03:47
14,652
+8
3 Nov 2026, 07:07
14,644
+8
2 Nov 2026, 07:16
14,636
+9
1 Nov 2026, 08:00
14,627
+7
31 Oct 2026, 11:06
14,620
+9
30 Oct 2026, 13:16
14,611
+8
29 Oct 2026, 15:59
14,603
+18
28 Oct 2026, 16:00
14,585
+11
27 Oct 2026, 18:20
14,574
+7
26 Oct 2026, 20:19
14,567
+8
25 Oct 2026, 22:38
14,559
+4
24 Oct 2026, 20:50
14,555
+19
23 Oct 2026, 17:46
14,536
+21
22 Oct 2026, 19:36
14,515
+10
21 Oct 2026, 15:14
14,505
+5
20 Oct 2026, 13:45
14,500
+8
19 Oct 2026, 14:46
14,492
+14
18 Oct 2026, 12:59
14,478
first reading
Engagement
64 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.6%
avg views ÷ 14,687 subscribers
Avg views / post
3,900
17 posts measured
Reaction rate
1.41%
reactions ÷ views · ER floor
Posts in window
20
of 64 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 5 November 2026
Posts held
64 (13 July 2026 – 5 November 2026)
Views total
66,380
Reactions total
934
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 06:53 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
380
Videos
148
Links
433
Lifetime counters from Telegram’s own channel header, read 6 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
2m 21s
Average length
18s
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
3,131 reactions across 55 posts, in 26 distinct kinds. The most used accounts for 47.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,484
47.4%
🔥
534
17.1%
👍
276
8.82%
❤🔥
194
6.20%
🤝
96
3.07%
😁
84
2.68%
🙏
75
2.40%
💯
61
1.95%
🥰
54
1.72%
👏
35
1.12%
🤗
33
1.05%
🍾
32
1.02%
🤔
32
1.02%
🎉
29
0.926%
🤩
29
0.926%
💔
17
0.543%
🤣
14
0.447%
⚡
12
0.383%
👌
10
0.319%
😍
8
0.256%
6 further kinds
22
0.703%
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 56 of the 64 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 3,131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 13 July 2026 to 5 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 56 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @usova_cast. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 64 most recent posts we hold for this entry, published 13 July 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 10 of 20 posts held from the last 30 days (50.0%) 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).
Кастинг в полный метр
🎬
Ранее я его уже размещала, теперь хотят посмотреть мальчиков постарше, но тех кто уже высылал ранее ( 11 летних), пока ещё не отметают. КОММЕНТАРИи ОТ РЕЖИССЁРА (как играть сцену):
«Играем в сцене: "Папу убили". К фразе "Я люблю тебя" желательно разрыдаться.».
🎭 АРСЕНИЙ, 13-15 лет - сын главного героя.
Тот возраст, когда ребёнок уже многое понимает по-взрослому, но ещё не сломан системой 🌟 В…
📱 ВЫ ЧИТАЕТЕ 10 КАНАЛОВ С КАСТИНГАМИ
Сохраняете. Откладываете «на потом».
Потом ОТБОР закрывается — и вы думаете, что не успели.
Причина другая. У вас нет готовой анкеты и самопробы. Каждый раз нужно собирать всё заново: искать фото, писать текст, снимать видео. На это нет времени, и вы снова откладываете...
Так проходит год. Сохранённых объявлений сотня, откликов ноль.
Готовая база решает это за пять минут. Увид…
💭 Я устала слышать этот вопрос и решила разобраться сама.
Почему некоторые кастинг-директора берут только актеров из «пятерки»? Почему Щепка, Щука, ГИТИС, ВГИК и МХАТ, а остальные как будто не существуют?
Сразу скажу: я не против этих вузов. Там правда дают мощную базу. Но я решила копнуть глубже и понять, откуда растут ноги у этого «святого списка».
Вот что я нарыла (это мои наблюдения, не истина в последней инста…
Полезный пост…Дочитайте до конца, ведь польза бывает разная… 🤷♀️
три простые вещи, которые спасают меня каждый день. И, возможно, спасут и вас.
Недавно поймала себя на мысли: опять забыла, что у меня в названии канала стоит слово «гедонист». Давно об этом не писала. А ведь когда-то оно появилось там не случайно.
Так что исправляюсь …и сегодня.
Три ритуала, которые держат меня на плаву в профессии, где легко очерств…
Я очень люблю ваши самопробы и правда жду каждую. Но есть момент, который делает мою работу сложнее, чем могло бы быть: файлы на Яндекс.Диске, которые у меня не открываются, и видео, которые нужно скачивать отдельно, чтобы посмотреть (у вас ваш Яндекс диск скорее всего открывается, но не откроется у других).
А работа у меня весёлая: мне нужно сделать очень много - быстро и "вчера" - для продюсеров и режиссёров. И пр…
Вы давно просили пробы для детей и это действительно отличная возможность 🤍
Кастинг этот я уже размещала, но нужно переписать сцену с ❗️ КОММЕНТАРИЯМИ ОТ РЕЖИССЁРА (как играть сцену):
«Играем в сцене: "Папу убили". К фразе "Я люблю тебя" желательно разрыдаться. Сцена та же, просто чтобы эту задачу держали».
🎭 АРСЕНИЙ, 11 лет - сын главного героя.
Тот возраст, когда ребёнок уже многое понимает по-взрослому, но ещё…
Друзья, мои хорошие! 🤗
Ищу двух актёров. Проект секретный ✨ Деталей не раскрою, но если вы мне верите на слово (а вы, надеюсь, верите), то это стоит самопробы 🌱
Ставки обсуждаю с каждым отдельно. Вы для меня не строчка в списке - вы человек, с которым хочется работать по-честному 🤍
Опишу героев так, чтобы вы сразу почувствовали: ваше это или нет 🙂
🎭 УЛЬЯНА, 42 года - старшая сестра главного героя, разница семь ле…
Санкт-Петербург, спасибо за всё ❤️
Я так давно собиралась сюда, и теперь понимаю, что не напрасно.
Этот город встретил меня своей особенной погодой, атмосферой и, самое главное, людьми.
Честно признаюсь, я почти всё время провела в работе и не успела в полной мере прочувствовать его ритм и красоту. Но даже то, что удалось уловить, оставило глубокий след в сердце.
Отдельное, огромное спасибо каждому, кто хотел вст…
Кастинг-Директор и Гедонист - Анастасия Усова pinned «3️⃣1️⃣8️⃣1️⃣1️⃣ для работы ⚠️ Сначала про Google Диск Когда выставляете пробы на него - обязательно открывайте доступ для просмотра ВСЕМ, у кого есть ссылка. Если этого не сделать, то сильно затягивает процесс просмотра, потому что приходится ждать, пока…»
Showing the 12 most recent of 64 posts we hold for @usova_cast. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@usova_cast edited 4 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
29 August 2026
Posts recorded as deleted after publishing
We recorded 6 posts on @usova_cast 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
5 November 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
1
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Решила обновить карту подписчиков. Кто вы по географической душе?
МСК69%
СПб26%
Регионы РФ11%
The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Выберите идеальные для вас день и время, чтобы мы назначили дату общего эфира/созвона.
Понедельник34%
Среда35%
Днем после 15.0043%
Вечером после 18.0051%
The shares total 163%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 64 most recent posts we hold, published 13 July 2026 to 5 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 5 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.
Кастинги Гильдии кастинг-директоров @castgcd · 34,477 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 4 September 2026
magic.bears casting (кастинги Бориса Ржезака) @Casting_by_magic_bear · 22,530 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 22 September 2026
Кастинг-директор Светлана Рюрикова/Токсичная бабка @rjurickcasting1 · 20,185 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 29 September 2026
gogotova_casting @gogotovacasting · 32,391 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 6 September 2026
NEWCAST🎬 @newcast2023 · 21,206 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 27 September 2026
Будни кастинг-директора @APTUCTbI · 23,359 Telegram ranks this channel #12 of 86 here — alongside 85 others — read 20 September 2026
ТАТА_cast @tatazalinyan_cast · 29,019 Telegram ranks this channel #15 of 86 here — alongside 85 others — read 10 September 2026
Boom_casting @boom_casting · 22,023 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 24 September 2026
filmcastanna @filmcastanna · 22,090 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 23 September 2026
Кастинги Москва @kastingi2 · 86,478 Telegram ranks this channel #25 of 89 here — alongside 88 others — read 22 August 2026
Кастинги от 5000 🎥 @castings5000 · 21,516 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 25 September 2026
Кастинги Москвы @casting_msk · 35,759 Telegram ranks this channel #28 of 92 here — alongside 91 others — read 3 September 2026
Ирина Нашутинская_кастинг @irinanashutinskaya_casting · 23,959 Telegram ranks this channel #30 of 86 here — alongside 85 others — read 19 September 2026
Валерия Гайя Германика @leragermanica · 23,581 Telegram ranks this channel #31 of 91 here — alongside 90 others — read 18 September 2026
TalentGuru | Кастинг в кино @talent_guru · 25,637 Telegram ranks this channel #31 of 84 here — alongside 83 others — read 14 September 2026
Кастинги в кино | Анна Денисова и Ася Аристова 🎥 @DenisovaAristovaCasting · 33,156 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 5 September 2026
КАСТИНГИ ДЛЯ ДЕТЕЙ @kasting_deti_spb_moskow · 32,759 Telegram ranks this channel #32 of 84 here — alongside 83 others — read 4 September 2026
Министерство кастинга @primepeople · 24,641 Telegram ranks this channel #33 of 87 here — alongside 86 others — read 18 September 2026
КАСТИНГИ Fancy People @fancypeolechannel · 23,227 Telegram ranks this channel #47 of 84 here — alongside 83 others — read 19 September 2026
Кастинги для актеров в Москве @castingsactors · 27,580 Telegram ranks this channel #50 of 88 here — alongside 87 others — read 11 September 2026
ТОП Кастинги от Дени Актеры/Модели/Зрители в шоу/АМС Москва (Клипы/Реклама/Кино/Шоу в ТВ) @top_kasting · 33,583 Telegram ranks this channel #52 of 85 here — alongside 84 others — read 6 September 2026
Кастинги в Москве @castings · 63,701 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 22 August 2026
Детские кастинги Москвы @kidscastingmsk · 30,101 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 8 September 2026
КАСТИНГИ @kastingi3 · 86,076 Telegram ranks this channel #56 of 86 here — alongside 85 others — read 22 August 2026
This channel appears in 36 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Кастинг-Директор и Гедонист - Анастасия Усова” (@usova_cast), 14,687 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/usova_cast.
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.