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Telegram profile photo for Валерия Гайя Германика

Channel

Валерия Гайя Германика

@leragermanica

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

23,599subscribers

+508 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001622777692
TypeChannel
Username@leragermanica
DescriptionКиномир и другое Мои картины https://t.me/GermanicaArt Реклама в канале @Sveta283 https://gosuslugi.ru/snet/67e3af8fd1f
Created11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/leragermanica

Topic

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 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

23,08823,59923,343.55 August 202612 November 2026
65 measurements spanning 98 days, net +508. 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 23,011–23,676 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 09:4423,599+35
10 Nov 2026, 09:2223,564-4
8 Nov 2026, 20:5923,568-8
7 Nov 2026, 11:5023,576-9
6 Nov 2026, 15:0023,585+4
5 Nov 2026, 14:0523,581+11
4 Nov 2026, 11:0623,570+11
3 Nov 2026, 11:4523,559-5
2 Nov 2026, 12:1923,564+2
1 Nov 2026, 13:1023,562+51
31 Oct 2026, 10:0423,511+7
30 Oct 2026, 13:3723,504+14
29 Oct 2026, 16:3923,490+9
28 Oct 2026, 13:2423,481-5
27 Oct 2026, 14:4423,486-10
26 Oct 2026, 12:1823,496-9
25 Oct 2026, 15:4723,505+1
24 Oct 2026, 12:5123,504+8
23 Oct 2026, 11:5823,496+4
22 Oct 2026, 14:3623,492first reading

Engagement

385 posts held, back to 2 August 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 121 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 23,599 subscribers
Avg views / post
4,060
118 posts measured
Reaction rate
3.49%
reactions ÷ views · ER floor
Posts in window
118
of 385 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
WindowRolling 30 days · latest post in window 12 November 2026
Posts held385 (2 August 2026 – 12 November 2026)
Views total478,492
Reactions total16,713
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 02:44 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
≈3,950
Videos
≈739
Links
≈437

Lifetime counters from Telegram’s own channel header, read 13 November 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
25m 47s
Average length
44s

Measured directly from 35 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

57,703 reactions across 366 posts, in 24 distinct kinds. The most used accounts for 20.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11,98120.8%
🤣10,53618.3%
❤‍🔥8,80715.3%
💯7,82513.6%
❤4,4047.63%
🕊2,0833.61%
🙏2,0523.56%
😭1,6472.85%
👍1,2602.18%
⚡8701.51%
🤪8321.44%
custom 52244605345349161027291.26%
custom 52333184450214171187061.22%
custom 54631864776828015416431.11%
🍓6401.11%
custom 54609177514030039725841.01%
🤩4570.792%
🗿3560.617%
🍾3460.6%
🤯2890.501%
4 further kinds6561.14%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 385 of the 385 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 60,050 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 385 most recent posts we hold, published 2 August 2026 to 12 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
124
across the posts below
Posts paid on
67
of 385 we hold a reading for · 17%
Most on one post
12
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @leragermanica. 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 385 most recent posts we hold for this entry, published 2 August 2026 to 12 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.

Advertising

Ad load
0.26%
1 of 385 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
4,020
over 1 measured post
Median views · rest
4,030
over 384 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2vtzqxmwng3129 August 202629 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 385 most recent posts we hold, published 2 August 2026 to 12 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 25 of 118 posts held from the last 30 days (21.2%) 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).

12 Nov 2026, 17:08 UTC≈1,680 views107 reactionsread 13 November 2026
Photo

Рекомендация на вечер: если совсем нечего смотреть, посмотрите, во что вы превратились. Возможно, это самая страшная картина из всех, что вам доводилось видеть.

😭43🤣30🔥15💯8👀4❤3custom 54609177514030039723custom 52244605345349161021

12 Nov 2026, 16:36 UTC≈1,990 views117 reactionsread 13 November 2026

Новая горничная каждый день говорит мне, что она православная. На второй день работы она поставила на аватарку икону. В общем, если я не выхожу на связь, вызывайте рпц.

🤣100custom 546091775140300397212🔥2🗿1custom 52244605345349161021custom 52333184450214171181

12 Nov 2026, 15:03 UTC≈2,280 views86 reactionsread 13 November 2026
File

Музыка которая сводит с ума в любом возрасте, всегда и всех

💯49❤14⚡10🔥5🕊5👀1🗿1custom 52244605345349161021

12 Nov 2026, 13:53 UTC≈2,640 views135 reactionsread 13 November 2026

Есть у меня пара подружек-интеллектуалок. Бывает, соберёмся с ними вечерком и обсуждаем, как плох стал русский человек, как сузился весь, как оглупел и озлобился. А я говорю: «Девочки, надо понять человека. Рождаешься ты одинокий, на холодной, огромной земле. Она так широка, что не каждый и пару себе в жизни найдёт. И каждый сидит по своим углам и плачет, и света нет впереди. Да я и сама в ахере».

❤77🤣23🔥10💯8custom 54609177514030039727⚡4custom 52244605345349161023🕊2

12 Nov 2026, 09:39 UTC≈2,980 views129 reactionsread 13 November 2026
Photo

Противоположности способны быть друг другу опорой, если перестанут требовать сходства.

💯73❤39🙏7🔥5custom 54631864776828015413⚡2

12 Nov 2026, 07:54 UTC≈3,060 views116 reactionsread 13 November 2026
Photo

Доброе утро! Курт Воннегут сообщает: Люди нуждаются в хорошей лжи, потому что кругом слишком много плохой. *** Я пишу как ребёнок. Я не злоупотребляю длинными предложениями. Я не пользуюсь точкой с запятой. Я избегаю иронии — мне не нравится, когда люди говорят одно, а имеют в виду другое. Поэтому меня читают школьники. *** Искусство — не способ зарабатывать на жизнь. Но это очень человечный способ делать жизнь б…

❤83🕊14💯13🔥3custom 52244605345349161023

11 Nov 2026, 15:38 UTC≈3,820 views175 reactionsread 13 November 2026

Загадки, которые были опубликованы в «Мурзилке» 30 лет назад. 1. Чтобы спереди погладить, нужно сзади полизать. (Почтовая марка) 2. Кругом волоса, посредине колбаса. (Кукуруза) 3. Сверху черно, внутри красно, как засунешь, так прекрасно. (Галоши) 4. Волос на волос, тело на тело, и начинается темное дело. (Веки) 5. То холодный — то горячий, то висячий — то стоячий. (Душ) 6. Туда — сюда — обратно, тебе и мне прия…

🤣126❤22custom 52333184450214171189🍌7🔥3custom 54631864776828015413👀2🤪2

11 Nov 2026, 14:09 UTC≈3,660 views61 reactionsread 13 November 2026

https://t.me/swideteli/114183 Прежде чем спрашивать, умеет ли Валерия Гай Германика играть на двухрядной гей-гармонике, следует спросить себя: может ли подобный вопрос стать всеобщим законом разума? И если да, то готово ли человечество к последствиям?

🤣44❤12custom 52333184450214171184⚡1

11 Nov 2026, 07:57 UTC≈6,620 views116 reactionsread 13 November 2026
Photo

Что происходит, когда мы перестаём читать книги? Демократия слабеет, глупость процветает, и, возможно, что ничуть не лучше, мы становимся менее крутыми. «Пожалуйста, прочитайте уже чёртову книгу». Майкл Себастьян, Esquire.

❤70💯22🕊14🤣6🔥3⚡1

11 Nov 2026, 06:04 UTC≈3,690 views86 reactionsread 13 November 2026
Photo

Доброе утро.

🔥47🤣17👀13❤8custom 52333184450214171181

10 Nov 2026, 17:24 UTC≈4,120 views144 reactionsread 13 November 2026
Video

Короткометражный фильм «Downside Up» («Всё наоборот», 2016) бельгийского режиссёра Петера Гескьера (Peter Ghesquière). Продолжительность — около 14 минут. Это антиутопия, в которой большинство людей рождаются с синдромом Дауна, а люди без него считаются отклонением от нормы. Главный герой — мальчик, который оказывается «не таким», как все. Через его историю режиссёр исследует, кто вообще придумал нормальность и поче…

🔥45custom 522446053453491610245❤26💯10🗿6🕊4custom 52333184450214171184custom 54609177514030039724

10 Nov 2026, 16:15 UTC≈3,910 views40 reactionsread 13 November 2026
Photo

Господа, хватит скупать безвкусную роскошь! На аукционе VLАDEY выставили настоящие музейные сокровища. Кабаков — эстимейт до 300 тысяч евро, Виноградов и Дубосарский — до 200 тысяч, Новиков — до 100 тысяч, Цой — до 20 тысяч. Русский авангард, концептуализм, легендарные имена. Всё можно унести домой, если хватит денег и наглости. Покупайте искусство. Пора всех могнуть уже. Осенние торги VLADEY, 21 ноября в 15:00. …

🔥23❤10custom 52333184450214171186🤩1

Showing the 12 most recent of 385 posts we hold for @leragermanica. 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 2 posts on @leragermanica 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
16 August 2026
Most recent seen missing
2 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 55 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Свидетели и Егоры
@swideteli · 24,536
4 posts
🟠 Лёгкий Стресс
@LegkyStress · 184
3 posts
Дружок, это Южинский кружок
@umamleev · 9,451
3 posts
Бахчисарайские гвоздики
@darkmgimo · 107,938
2 posts
Гештальт-богадельня ❤️
@geshtalt_ekb · 162
2 posts
Ход Конева
@knightsmove · 41,094
2 posts
Николай Киселев
@ministryofthedeliciousthings · 502
2 posts
Видео Дневник
@visualartdiary · 708
2 posts
Matt+
@GoodBoiWorld · 424
1 post
Оксана Пронина| ТОЧКА ОПОРЫ
@OKSANA_PRONINA12 · 143
1 post
RedGlasses Invest
@RedGlassesInvest · 300
1 post
Сергей Красовский ll
@actorkrass · 70
1 post
Angi_life
@anji_life · 32
1 post
Анна Глазырина
@anna_glazyrina27 · 56
1 post
📜 Свиток Клио: понятная история.
@clioscroll · 4,449
1 post
🎪✨🫀💌🪡🗺🎠
@criteriumveritatis · 477
1 post
DOSHLO?!
@doshlo · 7,898
1 post
DIR. ELVIROVA
@elvirova_e · 42
1 post
КиноИскусствоЖизнь-Елена Мирскова
@filmartlife · 62
1 post
FÓLGA
@folgaolgatg · 367
1 post
Фром Сара виз Лав💌
@fromsarawithluv · 105
1 post
Красавчик Браммелл
@gentlemantodays · 360
1 post
Глумление и драма
@glumlenieidrama · 307
1 post
Серый Плед Production🎬
@greyplaid_production · 77
1 post
Верю - не верю
@ibelievenot · 866
1 post
Кейт Бланш
@kate_blanche · 321,787
1 post
Катрин
@katrin_waaay · 118
1 post
KINO LAB
@kinolaba · 194
1 post
KINO MURATOVA
@kinomuratova · 199
1 post
Героиня Cool Girl
@kurochki_govoryat · 36,495
1 post
Лавруша
@lawr_purga · 236
1 post
Леся печатает…
@lesyagrii · 400
1 post
Живой хронотоп
@life_hronotopus · 106
1 post
Катя Олеговна
@lupka_za · 28
1 post
Марк Калмыков
@markkalm · 79,044
1 post
КАМАСУТРА для чайников
@maru_kamasutra · 92
1 post
ÁYDAROOM
@masharayda · 60
1 post
здесь жил и работал
@memedeath · 50
1 post
полоротов.тхт
@micromedia666 · 11,912
1 post
Шелуха Тарковского
@notabulloff · 108
1 post
Inner Room / путь внутрь
@psy_innamakarenko · 366
1 post
Красная Евразия
@redeurasia · 2,613
1 post
ПолБорща и Ложка
@redsoupwithsmetana · 3
1 post
resort
@resortagain · 5,477
1 post
хᴀᴩдᴋᴏᴩ ᴨᴏ-ᴩуᴄᴄᴋи 💦 (закрыт)
@russkiymotiv · 40
1 post
Дядя Шура Zа победу!
@schura_kostarev · 67
1 post
Леонардо Ди Ванче
@skvir · 20,797
1 post
По прозвищу Зверь🐘
@slovopazanagaraev · 497
1 post

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 17 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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.

Каждой твари - кампари
@tvrkmpr · 22,723
#1
ДАША ЛЕБЕДЕВА
@lebedevadao · 4,982
#2
Наталья Николаева/Кастинг/Агент
@sevenfilmsactors · 14,451
#3
Антиглянец
@sncmag · 299,576
#4
Героиня Татлера
@tatlersheroine · 102,518
#5
Кровавая барыня
@bloodysx · 1,172,481
#6
СОБЧАК
@ksbchk · 381,288
#7
НЕБОЖЕНА
@imnotbozhena · 503,516
#8
Лёша Зотов
@leshazotov · 7,473
#9
Анна Меликян
@melikyananna · 15,994
#10
диагноз: мирохина
@mirohina_a · 11,769
#11
Новости кинопроизводства
@filmres · 37,684
#12
Актерская Соцсеть
@talentSocial · 13,923
#13
РУССКОЕ КИНО В ТОПЕ
@rkvt_2020 · 34,375
#14
Бабская курилка
@kureelka · 124,121
#15
Зинаида Пронченко
@ZinaidaPronchenko · 74,382
#16
Alperina
@alperina · 12,354
#17
кино про тебя
@kinoprotebya · 41,848
#18
Канал Ханта
@channel_hant · 5,914
#19
Вероника Степанова
@veronikastepanova20011 · 485,372
#20
ОСА Кастинг АГЕНТ Москва
@kastingOCA · 12,466
#21
Режиссер Гончуков 🎥
@agonch · 5,788
#22
Светский интроверт
@svintrovert · 83,244
#23
БК медиа
@kinometro · 32,926
#24
Профпригодный режиссер
@films74 · 8,614
#25
БП онлайн
@bponline · 111,513
#26
Для актеров про кино
@alekc_korytov · 19,129
#27
КПП для Актёров
@kppforactors · 3,061
#28
Не последние люди в городе
@neposlednielyudi · 57,220
#29
КЦ
@ekatziner · 8,058
#30
Кастинг-Директор и Гедонист - Анастасия Усова
@usova_cast · 14,757
#31
Агент и Продюсер Ирина Морозова
@irinamorozovaagent · 12,207
#32
Юлия Назметова
@nazmetova_kino · 15,195
#33
Кастинг // Арина Сержантова
@casting_serzhantova · 18,220
#34
Ермолов/Ermolov
@ermolov21 · 5,090
#35
🐍МОСКВИЧКА🐍
@glavmoskvichka · 32,596
#36
StarDust Agency
@stardust_agency · 4,181
#37
Артемий Лебедев
@temalebedev · 971,105
#38
НЕПРОЗАМУЖ
@mortalbeauty · 46,343
#39
Бахчисарайские гвоздики
@darkmgimo · 107,938
#40
Мария Маханько кинорежиссёр
@MariaMakhanko · 5,581
#41
Мафа
@oksanamafa · 1,974
#42
Кастинг треп
@yasozdall · 9,065
#43
Фёдор, Бонд и Чук
@FBChu · 46,660
#44
TALOCHKiNO°
@TALOCHKiNAvera_official · 17,371
#45
БОЖЕНА
@bozhenabozhenabozhena · 67,375
#46
Кастинги в кино | Анна Денисова и Ася Аристова 🎥
@DenisovaAristovaCasting · 33,225
#47
MILA PROSVIRINA 🖇️
@lyudmila_wtf · 2,472
#48
Нетипичный агент
@che_agent · 5,984
#49
Гильдия Актерских Агентов
@agentsguild · 7,787
#50
Golden Chihuahua
@goldchihuahua · 91,166
#51
Bеликий проКАСТинатор
@borisovacast · 13,387
#52
Bazelevs
@bazelevs_official · 4,299
#53
OM PRODUCTION
@OM_PRODUCTION_tg · 5,773
#54
ORIGINAL+
@originalfestival · 2,021
#55
Кинсайдер
@kinsidermag · 4,829
#56
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,007
#57
Кинопоиск | Индустрия
@kinopoisk_Industry · 28,556
#58
VODоворOTT
@vodott · 14,573
#59
Раньше всех. Ну почти.
@bbbreaking · 1,975,202
#60
Mash
@mash · 3,140,033
#61
Осторожно, новости
@ostorozhno_novosti · 1,621,101
#62
Только никому...
@spletni_tg · 186,947
#63
Вызывной
@callbackhere · 5,760
#64
Масло в огонь
@maslovogon · 11,767
#65
Стрелец-Молодец
@strelets_molodec · 348,609
#66
Baza
@bazabazon · 1,556,528
#67
Комендант кинокрепости
@textortexel · 17,557
#68
ЕЖ
@ejdailyru · 663,755
#69
Сергей Минаев
@minaevlife · 317,610
#70
Лука Ебков
@luka_ebkov · 428,911
#71
ТАТА_cast
@tatazalinyan_cast · 29,201
#72
mc2 - Место силы
@mc2_prod · 10,245
#73
Продюсер Kartoz
@kartozz · 124,260
#74
V_B
@vasilieva_balabanova · 10,344
#75
gogotova_casting
@gogotovacasting · 32,566
#76
Осторожно, Москва
@ostorozhno_moskva · 396,349
#77
Filipp Korshunov master-classes
@filkorshunov · 2,590
#78
РБК. Новости. Главное
@rbc_news · 912,968
#79
NOVACASTING
@novacasting137 · 16,089
#80
Парни из Читальни
@ghostwood · 5,357
#81
MUR
@fashion_mur · 205,098
#82
кинобудет
@budetkino · 2,625
#83
CAST by Masha
@CastByMasha · 8,912
#84
Беспощадный пиарщик
@prbezposhady · 151,213
#85
Павел Дроздов. Кинорежиссёр
@PavelDrozdovDir · 1,956
#86
ActorClub
@ActorClubb · 5,485
#87
Кастинги Гильдии кастинг-директоров
@castgcd · 34,670
#88
Так нагло
@taknaglo · 24,841
#89
Скромное Обаяние Пацана
@kukan_sportif · 37,922
#90
Дневник Лауры Д
@Lauradjagadiary · 75,482
#91

Read from Telegram’s recommendation API, most recently 18 September 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.

Каждой твари - кампари
@tvrkmpr · 22,723
Telegram ranks this channel #16 of 90 here — alongside 89 others — read 20 September 2026
БЕЛАЯ СТУДИЯ
@belayastudia_dz · 24,205
Telegram ranks this channel #45 of 94 here — alongside 93 others — read 16 September 2026
Говорящая Тыква
@talking_pumpkin · 32,189
Telegram ranks this channel #58 of 85 here — alongside 84 others — read 5 September 2026
МАЛАХОВ
@and_malakhov · 39,804
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 30 August 2026

This channel appears in 4 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Валерия Гайя Германика” (@leragermanica), 23,599 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/leragermanica.

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.