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Channel

Монтажерка

@montazherka

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

8,109subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001367424463
TypeChannel
Username@montazherka
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/montazherka

Growth

8,1098,1208,114.57 August 2026 — 8,118 subscribers7 August 2026 — 8,118 subscribers10 August 2026 — 8,116 subscribers13 August 2026 — 8,120 subscribers17 August 2026 — 8,109 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -9. 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 8,107–8,122 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 15:078,109-11
13 Aug 2026, 22:378,120+4
10 Aug 2026, 11:238,116-2
7 Aug 2026, 10:308,118no change
7 Aug 2026, 10:198,118first reading

Engagement

13 posts held, back to 5 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.1%
avg views ÷ 8,109 subscribers
Avg views / post
2,120
8 posts measured
Reaction rate
1.94%
reactions ÷ views · ER floor
Posts in window
8
of 13 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 11 August 2026
Posts held13 (5 June 202611 August 2026)
Views total16,948
Reactions total328
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:44 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

Video runtime
1m 48s
Average length
54s

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

846 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥34540.8%
30235.7%
👍13616.1%
🤔455.32%
😁60.709%
🎉50.591%
👎40.473%
😐20.236%
👏10.118%

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 13 of the 13 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 846reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 5 June 2026 to 11 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.

Telegram Stars

Stars received
113
across the posts below
Posts paid on
6
of 13 we hold a reading for · 46%
Most on one post
101
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @montazherka. 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 13 most recent posts we hold for this entry, published 5 June 2026 to 11 August 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

11 Aug 2026, 07:58 UTC988 views50 reactions101 Starsread 12 August 2026
Photo

вот такой интересный вопрос мне задали. Хотела бы здесь тоже на него ответить, возможно, будет полезно. Вопрос многосоставной, поэтому буду дробить его на несколько частей. 200к. в месяц это не проблема. Вопрос в другом, каким путем вы хотите зарабатывать такие деньги. Можно набрать 40 рилсов за 5тыс. и сделать эту сумму. Потом, очевидно, вы эти деньги потратите на восстановление в след.месяц и не будете брать ниче

34👍13🤔3

6 Aug 2026, 13:57 UTC≈1,920 views46 reactions2 Starsread 12 August 2026
Photo

Три года назад Данил и Леня пришли ко мне учиться монтажу. Сегодня один из них продюсер в продакшене, второй оператор, который за последний год успел поработать в Дубае, Стамбуле, Иркутске и Красноярске. Позвала их в подкаст, чтобы поговорить честно: что было самым сложным на курсе, в какой момент захотелось всё бросить, и правда ли обучение это волшебная таблетка (спойлер: нет, и мы это тоже проговорили). Получилс

👍2914😁2👏1

1 Aug 2026, 13:57 UTC≈2,420 views29 reactionsread 12 August 2026
Photo

🌟Набор на обучение открыт! да, сегодня 1 августа, и сегодня я открываю набор на 2 потока. 1 поток - новый, который я разработала для тех, кто совсем не брал коммерческие заказы, но хочет попробовать большие жанры, понять как устроена работа с такими заказами, пополнить свое портфолио достойными работами, которые не стыдно показать новым заказчикам. Здесь я вам даю возможность спокойно, без дедлайнов освоить разные ж

🔥19👍82

27 Jul 2026, 17:12 UTC≈2,430 views74 reactions4 Starsread 12 August 2026

в этом посте я собрала ссылки-референсы, которые мне присылали клиенты за последний месяц, мол хотим в таком же стиле, сколько это стоит? Это в основном говорящие головы и\или предприниматели, вот им капец как нужна такая динамика в роликах и визуал. Что самое крутое, на двух каналах из этого списка (Глеб Соломин и Послезавтра) работают мои ученики, горжусь безмерно! https://youtu.be/SEO-DZH9FNI?is=5yzo2_zj-ENGVXo0

55🔥14👍5

23 Jul 2026, 15:24 UTC≈2,660 views40 reactions3 Starsread 12 August 2026
Photo

Второй жанр по популярности (из этого голосования) любительский travel. Так же на курсе дам 2 жанра. И там и тут будут восхождения, но с разным объемом исходников и разным позиционированием. Еще формирую обучение для этого промежуточного модуля так, чтобы не отбить у вас желание монтировать 😄. Информации много, хочется чтобы этот модуль дал вам понимание по жанрам и тому с чем приходится сталкиваться на реальных про

28👍7🔥5

21 Jul 2026, 09:39 UTC≈2,690 views32 reactionsread 12 August 2026
Photo

Если вы пришли с рилса про нейросети, во-первых, добро пожаловать и спасибо, что подписались, а во-вторых я сделала для вас здесь удобную навигацию по промтам, которые использовала: Travel-выпуски Подкасты, интервью

🔥266

20 Jul 2026, 15:56 UTC≈2,330 views43 reactionsread 12 August 2026
Photo

Есть к вам вопрос. Кто монтировал подобные реалити-шоу с такой нагрузкой, напишите в комменты, сколько бы вы взяли под ключ за 1 серию. Ну и в комментах я вам скажу чуть позже сколько предложили 😳

🤔28🔥9😁4😐2

8 Jul 2026, 10:16 UTC≈3,250 views22 reactionsread 12 August 2026
Forwarded from @worldkardoVideo

Конкурс, объединяющий режиссёров, клипмейкеров и визионеров. Вот, кто будет его оценивать: 🇷🇺 Leo Mayd — создатель Mayd Production, ведущий «Шутер Шоу» на YouTube, сотрудничал со многими успешными артистами и брендами, обладатель премии «Риса за творчество», участник ADCR Awards и Dora International 🇷🇺 Azar Strato — режиссёр и музыкальный продюсер 🇷🇺 Алина Ивашина — оператор-постановщик кино, рекламы, музыкальных к

🔥12👍73

26 Jun 2026, 14:16 UTC≈3,500 views31 reactionsread 12 August 2026
Photo

🟥 новый выпуск на канале! Побывала на фестивале уличных культур КАРДО в Ставрополе в роли жюри видеоконкурса. В этом выпуске: закулисье фестиваля, экскурсия по местному телеканалу, открытый диалог с финалистами и интервью с победителем номинации лучший монтаж видео. 🔥 смотреть на YouTube 😄 смотреть в ВК Если ты монтажёр, видеограф или просто снимаешь видео - в этом году 2026, ещё можно подать заявку. Отборочный т

🔥17👍9🎉5

20 Jun 2026, 12:59 UTC≈3,740 views131 reactionsread 12 August 2026
File

📚«Библия проекта» . Если вы раньше не сталкивались с таким термином, поясню. Это подробный документ-энциклопедия, описывающий внутреннее содержание, вселенную, персонажей и правила создаваемого продукта (чаще в кино, геймдеве или литературе). Если вы монтируете,например, на тв и делаете шоу, которое купил канал, то у монтажера есть эта библия по которой необходимо соблюдать разные условия, либо штраф. Во фрилансе,

🔥8730👍14

17 Jun 2026, 08:59 UTC≈3,390 views167 reactions1 Starread 12 August 2026

у меня есть бот по поиску вакансий по монтажу, но я его использую не для поиска проектов, а для того чтобы понять что сейчас на рынке коммерческого монтажа. Какие цены предлагают, какие задачи необходимо закрывать, какие референсы присылают. Последний месяц я выписывала себе в заметки тезисы и готова с вами поделиться инфой: на ✨ месте по количеству запросов идут Shorts\Reels, кто бы сомневался 😄. В среднем по объем

101🔥38👍14🤔14

Showing the 12 most recent of 13 posts we hold for @montazherka. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“Монтажерка” (@montazherka), 8,109 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/montazherka.

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.