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Channel

RUSSIAN CODE | СЕРИАЛЫ

@russian_c0de

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

15,815subscribers

+5,177 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002414236298
TypeChannel
Username@russian_c0de
DescriptionОфициальный канал продюсерской компании RUSSIAN CODE. «Камбэк», «Праздники», «Вечерняя школа», «Мистер Ноготь», Трёшка», «На льду», «История его служанки» и др. https://russiancode.ru [email protected]
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/russian_c0de

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 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 10 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@bsbp_otavtorov30 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (24–6)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 123 comparable posts for this entry, running 3 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 10 channels, the one whose matching posts we hold earliest is @trushinivan. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 10 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

10,63815,81513,226.56 August 202611 November 2026
62 measurements spanning 97 days, net +5,177. 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 9,861–16,592 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
11 Nov 2026, 12:4915,815+59
9 Nov 2026, 20:2715,756-14
8 Nov 2026, 14:3715,770-15
7 Nov 2026, 05:4715,785+3
6 Nov 2026, 05:4615,782+80
5 Nov 2026, 04:0915,702+744
4 Nov 2026, 01:5614,958+354
3 Nov 2026, 02:5814,604-24
2 Nov 2026, 03:4014,628-6
1 Nov 2026, 04:1914,634-7
31 Oct 2026, 06:4814,641-6
30 Oct 2026, 09:2814,647-17
29 Oct 2026, 07:5714,664-18
28 Oct 2026, 03:5714,682-19
27 Oct 2026, 02:0714,701-16
26 Oct 2026, 00:5414,717-20
24 Oct 2026, 23:4414,737-5
24 Oct 2026, 01:0814,742-11
22 Oct 2026, 22:0614,753-19
21 Oct 2026, 19:3714,772first reading

Engagement

181 posts held, back to 3 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 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.0%
avg views ÷ 15,815 subscribers
Avg views / post
3,640
41 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
42
of 181 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 held181 (3 August 2026 – 12 November 2026)
Views total149,360
Reactions total2,184
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 06:51 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
≈3,160
Videos
≈649
Links
≈1,450

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
39m 49s
Average length
50s

Measured directly from 48 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

11,978 reactions across 171 posts, in 20 distinct kinds. The most used accounts for 70.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8,43470.4%
🔥1,71714.3%
👍7226.03%
😁3192.66%
😍2091.74%
💔1491.24%
💘1130.943%
🤣860.718%
💋430.359%
💅360.301%
🎉330.276%
🍓310.259%
👏310.259%
custom 5201925231974833732280.234%
⚡100.083%
🤝80.067%
🍾50.042%
💯20.017%
👌10.008%
🕊10.008%

Custom emoji. One row above is a 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 count beside it is 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 174 of the 181 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 12,171 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 181 most recent posts we hold, published 3 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
8
across the posts below
Posts paid on
7
of 174 we hold a reading for · 4%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @russian_c0de. 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 181 most recent posts we hold for this entry, published 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 42 posts held from the last 30 days (16.7%) 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, 14:42 UTC≈6,000 views103 reactionsread 13 November 2026
Video

Смогут ли Спицыны примириться? Новая серия «Истории его служанки» снова разбивает нам сердце. Смотрим сегодня в полночь в онлайн-кинотеатрах Иви и Start Мы в TG | MAX | ВК 🔴

❤74💔17👍12

12 Nov 2026, 11:53 UTC≈1,070 views118 reactionsread 13 November 2026
Forwarded from @serialogia_mlgPhoto

«История его служанки»: 2 сезон vs 1 сезон Стартовал второй сезон костюмированной драмы «История его служанки». В июле проект возглавил Российский рейтинг сериалов «Медиалогии», а в августе занял 7 место. Мы решили выяснить, как пользователи реагировали на выход стартовых серий первого и второго сезонов. Выборка: неделя до релиза и неделя после. 1 сезон Количество сообщений — 4 030 Вовлеченность — 759 тыс. 2 сез…

❤90🔥24👍4

12 Nov 2026, 11:07 UTC≈1,550 views24 reactionsread 13 November 2026
Video

В рамках интервью для программы «Кино в деталях» Владимир Вдовиченков рассказал о нашем проекте «Вор в загоне». Актёр поделился подробностями работы над ролью криминального авторитета, который из-за панических атак вынужден обратиться за помощью к будущему зятю — психологу. ➡️Полная беседа — здесь. А комедию «Вор в загоне» смотрите на Кинопоиске, Иви (в подписке Яндекс.Плюс) и Premier. Мы в TG | MAX | ВК 🔴

❤18🔥5👍1

12 Nov 2026, 07:33 UTC≈1,760 views34 reactionsread 13 November 2026
Photo

Я через 0.001 секунду после того, как снег коснулся земли: 📸 Илья Макаров и Динара Курбанова — на съемках второго сезона комедии «Вечерняя школа». Ждите премьеру на СТС! Мы в TG | MAX | ВК 🔴

❤28👍3💯2🔥1

11 Nov 2026, 14:24 UTC≈1,920 views25 reactionsread 13 November 2026
Video

Источник надежный 🤭 Все серии комедии «Вор в загоне» — смотрите на Кинопоиске (ТОП-2), Иви (в подписке Яндекс.Плюс) и Premier Мы в TG | MAX | ВК 🔴

👍16❤8😁1

11 Nov 2026, 11:05 UTC≈2,280 views37 reactionsread 13 November 2026
Photo

Завершился краснодарский этап съёмок нашей комедии «СуперВовик» для СТС! Краснодар стал важной частью визуального мира сериала. В объективы камер попали узнаваемые городские пространства, улицы исторического центра, парки и другие знаковые места кубанской столицы. Теперь съёмочная группа перемещается в Москву. Напомним, в центре сюжета — почти сорокалетний Вовик (Михаил Тройник), обычный таксист, который решает кар…

❤30👍5🔥2

11 Nov 2026, 08:18 UTC≈2,720 views51 reactionsread 13 November 2026
Photo

Фраза «мне нечего надеть» вышла на новый уровень 🤭 📸 бэкстейдж со съемок нового сезона сериала «Иванько», премьеру которого ждём на ТНТ и Кинопоиске! Мы в TG | MAX | ВК 🔴

🔥34❤11👍4😍2

10 Nov 2026, 14:47 UTC≈8,190 views133 reactionsread 13 November 2026
Photo

В «Истории его служанки»музыка — не просто фон, а полноценный язык чувств, который помогает раскрыть характеры героев и передать их переживания. Как в музыкальной вселенной сериала соединились разные эпохи? Почему современный хит группы «Руки Вверх!» зазвучал как старинный романс и какую роль в этом эксперименте сыграли Пушкин и Чайковский? «Это не просто кавер хита „Руки Вверх!“, это высказывание Анны Авериной, эм…

❤106👍13🔥12👏2

10 Nov 2026, 12:23 UTC≈2,550 views41 reactionsread 13 November 2026
Video message

Video message, posted without a caption

❤26🔥9👍6

10 Nov 2026, 12:23 UTC≈2,220 views39 reactions1 Starread 13 November 2026
Video message

Video message, posted without a caption

❤29🔥8👍2

10 Nov 2026, 12:23 UTC≈3,310 views35 reactionsread 13 November 2026
Photo

«ГУДОВЫ-2» — СНЯТО! Вчера на съёмочной площадке второго сезона нашей семейной комедии «Гудовы» прозвучало последнее «Стоп! Снято!». Гудовы не были бы Гудовыми, если бы их жизнь обходилась без приключений. Во втором сезоне любимых героев ждут новые испытания, любовные дилеммы, бытовые катастрофы, кулинарные баталии и даже новый член семьи. К своим ролям вернулись Алексей Розин, Павел Майков, Олеся Железняк, Влад Пр…

❤22🔥8👏5

10 Nov 2026, 08:55 UTC≈2,090 views56 reactionsread 11 November 2026
Photo

📸 КАМ-БЭК-СТЕЙДЖ! Собрали для вас свежие кадры со съёмок полнометражного спешела «Камбэк. В лето» — фильм, который согреет нас этой зимой. Новая встреча с любимыми героями уже в декабре на Кинопоиске! А пока присоединяйтесь к тем, кто уже ждёт премьеру: нажимайте «буду смотреть» на странице проекта. Нас уже больше 300 000🔥 Мы в TG | MAX | ВК 🔴

❤43🔥8👍4💋1

Showing the 12 most recent of 181 posts we hold for @russian_c0de. 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

@russian_c0de edited 3 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
25 August 2026
Most recent edit
27 August 2026

Forward network

Republished by

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

Republished by 57 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

История его служанки (ИЕС) | от создателей проекта
@bsbp_otavtorov · 30,819
65 posts
Good Story Media | Сериалы | Фильмы
@good_story_media · 19,722
15 posts
Наташа в шоке!
@natashaVshoke · 35,326
12 posts
Zhuravlikss
@zhuravlikssss · 59,170
7 posts
Милана Бру ❤️
@imMilanaBru · 21,807
6 posts
MIKE SOTNIKOV 🃏- Михаил Сотников
@mike_sotnikov · 59,799
6 posts
Матвей Лыков
@lykovmatvey · 36,353
5 posts
Иви | О кино, фильмах и сериалах
@official_iviru · 62,984
5 posts
Трушный Ваня
@trushinivan · 28,782
5 posts
Olga Lomonosova
@olgalomonosovaa · 1,474
4 posts
Для тех, кто знает
@bukovka13 · 1,507
3 posts
Екатерина Хомчук
@katehomchuk · 7,528
3 posts
МАКАР
@ilia_makar · 28,627
2 posts
Олеся Железняк
@jeleznyak_official · 10,171
2 posts
Kinodramaturg
@kinodramaturg · 1,369
2 posts
БУДЕТ ПЕРЕКОСТЮМ
@kinokitchen · 1,650
2 posts
MALIMAMBO 🐉 Ася Резник
@malimambo · 10,889
2 posts
Штерн-раннер
@shternrunner · 1,396
2 posts
Алёна Хмельницкая
@Alyonakhmelnitskaya8 · 5,666
1 post
Андрей Князев
@Andrey_Knyazev_official · 13,579
1 post
Елена Исаева
@Elena_Isaeva_drama · 383
1 post
GurGur
@Gurgurme · 3,479
1 post
Канал Рока и Транспорта
@Roklmba · 59
1 post
ANGELINA
@angelinaPakHomovaA · 935
1 post
Короче…Вот!
@ascetichedonism · 83
1 post
AlimBeschokov
@beskinolent · 959
1 post
Сценарист головного мозга 🎬
@cerebwriter · 2,009
1 post
Телеканал СТС
@channel_ctc · 34,869
1 post
Чак-чак паланик
@chukchukpalanik · 8,880
1 post
Слабоумие и синопсис
@dementiaetsinopsis · 2,378
1 post
Самоучитель сценариста
@dreamonspec · 17,297
1 post
Маргарита Дьяченкова
@dyachenkova · 16,947
1 post
Институт кино НИУ ВШЭ
@film_institute · 3,861
1 post
ПЯТЫЙ КАНАЛья
@fivecan · 803
1 post
Осколки лесной интеллигенции
@forestbums · 8
1 post
GNEUSHEVAKINO
@gneushevakino · 1,142
1 post
Влад Ценёв
@iamvladtsenev · 5,917
1 post
Илларион
@illarionmarov · 182
1 post
Заскриптованный
@ireadscripts · 12,577
1 post
Кот в Кадре 🎭 | Иванько
@ivankoteo · 257
1 post
Как трудно быть нормальным
@iznanka_scenarista · 1,620
1 post
Сценаристы
@kinotvscreenwriter · 865
1 post
КНЯZZ АЛЛО, ГАРАЖ!
@knyazzband_official · 21,898
1 post
Последний Сценарный Канал
@lastscripts · 231
1 post
𝑩𝑺𝒙𝑩𝑷💋
@mishakate · 302
1 post
niente di santo;
@nientedisanto · 25
1 post
Никита Кологривый
@nik_kologrivyy · 36,724
1 post
Резюмешная - карьера и психология
@resumesh · 475
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 86 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

История его служанки (ИЕС) | от создателей проекта
@bsbp_otavtorov · 30,819
77 posts
MIKE SOTNIKOV 🃏- Михаил Сотников
@mike_sotnikov · 59,799
47 posts
Zhuravlikss
@zhuravlikssss · 59,170
47 posts
Матвей Лыков
@lykovmatvey · 36,353
32 posts
Good Story Media | Сериалы | Фильмы
@good_story_media · 19,722
31 posts
Наташа в шоке!
@natashaVshoke · 35,326
22 posts
Милана Бру ❤️
@imMilanaBru · 21,807
16 posts
Сценариум
@stcenarium · 11,859
13 posts
Самоучитель сценариста
@dreamonspec · 17,297
12 posts
Никита Кологривый
@nik_kologrivyy · 36,724
12 posts
МАКАР
@ilia_makar · 28,627
10 posts
Трушный Ваня
@trushinivan · 28,782
10 posts
кино про тебя
@kinoprotebya · 41,651
9 posts
Чепурченко 🔥в чате веселее🔥
@chepurchenko · 11,555
8 posts
Заскриптованный
@ireadscripts · 12,577
7 posts
Indrama: возможности для творческих людей
@inindrama · 11,491
6 posts
Екатерина Хомчук
@katehomchuk · 7,528
6 posts
Иви | О кино, фильмах и сериалах
@official_iviru · 62,984
6 posts
ВАНЯ КОРНЕЕВ 🎤
@vanyakorneev22 · 20,168
5 posts
Робот мониторит киноиндустрию 🎞
@cinema_robonews · 39
4 posts
Olga Lomonosova
@olgalomonosovaa · 1,474
4 posts
Для тех, кто знает
@bukovka13 · 1,507
3 posts
Слабоумие и синопсис
@dementiaetsinopsis · 2,378
3 posts
Культовые русские сериалы
@KingOfYantar · 35,903
3 posts

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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“RUSSIAN CODE | СЕРИАЛЫ” (@russian_c0de), 15,815 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/russian_c0de.

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.