Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
Engagement
11 posts held, back to 6 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 78.2%
- avg views ÷ 839 subscribers
- Avg views / post
- 656
- 11 posts measured
- Reaction rate
- 3.94%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 11 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.
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
- 22
- Videos
- 1
- Links
- 8
Lifetime counters from Telegram’s own channel header, read 27 September 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 30s
- Average length
- 2m 30s
Measured directly from 1 video 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
284 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 60.2% of them.
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 11 of the 11 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 284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 6 September 2026 to 25 September 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
- 16
- across the posts below
- Posts paid on
- 4
- of 11 we hold a reading for · 36%
- Most on one post
- 5
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rpm_youtube. 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 11 most recent posts we hold for this entry, published 6 September 2026 to 25 September 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
25 Sept 2026, 10:30 UTC251 views15 reactions1 Starread 27 September 2026 ⬆️ Навигация по каналу:
😎 Адаптация темы и превью.
🤔 Как же выбрать нишу и что с ней вообще делать.
💻 Инструменты для ютубера.
🎬 Как сделать софт с помощью ИИ.
Часть 1, Часть 2
🤬 Демонетизация. Как увеличить шансы ее не получить.
🔥 Лайк от души
🔥11👍3❤1
22 Sept 2026, 09:24 UTC647 views33 reactionsread 27 September 2026 Photo
Было же чувство, когда заходишь на канал или почту и тебя встречает такое уведомление, что аж пульс поднимается? 😡
В этом посте поговорим о демонетизации и как увеличить шансы её не получить.
1️⃣ Сценарий — писать текст 2 и более промтами разного формата (то есть одно видео — один промт, и чередуем), либо один промт заточить под разный формат подачи и просто просить нейронку, в каком формате сегодня написать.
Такж…
❤17🔥13👍2✍1
21 Sept 2026, 12:43 UTC527 views7 reactionsread 27 September 2026 Напоминаю, что розыгрыш действует до 27 сентября — ещё есть время поучаствовать!
Мы с товарищами по Ютубу решили разыграть полезные призы на сумму 2000$ среди подписчиков всех каналов.
Чтобы вам было удобно, вот ссылка на все каналы папкой:
https://t.me/addlist/tcslJI9N50NmYmZi
Подписываетесь одной кнопкой, жмёте «Участвую!» в посте с розыгрышем — всё легко и просто!
Среди товарищей — РЕАЛЬНЫЕ эксперты по Ютубу, …
❤5🔥2
20 Sept 2026, 08:49 UTC≈1,120 views37 reactions5 Starsread 27 September 2026 Photo
Теперь живите с этим 😁
😁25✍8👍4
19 Sept 2026, 15:39 UTC611 views37 reactions5 Starsread 27 September 2026 Photo
Как же выбрать нишу и что с ней вообще делать!
Всегда смотрю, есть ли в нише конкуренты и есть ли там просмотры, какое количество роликов выпускается и какой хронометраж.
На примере 1-го скрина мы можем увидеть, что все видео около 37 минут. Я всегда делаю хронометраж больше — от 60 минут. Кто-то может сказать, что в этом нет разницы и будет прав, потому что у всех опыт разный, а делюсь лишь тем, что работает у мен…
🔥27❤4🤝4👍2
18 Sept 2026, 15:16 UTC760 views16 reactionsread 27 September 2026 Photo
⚠️Дарим 10 ключей Фастгена + Нонстопа и 100 000 000 символов озвучки ElevenLabs! 20 призовых мест, шансы победить ОГРОМНЫЕ:
1-5 место — месячная подписка Video Medium на FastGen
5-10 место — месячная подписка Standart на VeoNonStop
11-20 место — 10 миллионов символов Lumean.app
Условия элементарные, просто подписаться на эти каналы:
@Grisha_Youtuber_2003
@kirill_roo
@moneypassyt
@TRAFFIC_BOYS
@kiravacore
@laborat…
🔥9👍5❤2
17 Sept 2026, 15:00 UTC560 views19 reactionsread 27 September 2026 Скоро планируется розыгрыш года💰
Призовой пул в 2000$ 🔥 советую всем учавствовать.
🔥16❤3
15 Sept 2026, 06:05 UTC602 views22 reactionsread 27 September 2026 Photo
Не забываете отдыхать ⛰️🌲.
Путешествуйте, это очень помогает разгрузиться.
Набраться энергии и с новыми мыслями, идеями достигать целей 🔥
🔥16❤4👍2
10 Sept 2026, 17:23 UTC656 views45 reactions5 Starsread 27 September 2026 Как сделать софт с помощью ИИ, если ты не программист. Часть 2 🎬
В прошлом посте разложили всё на блоки. Тут уже хочу остановиться подробнее: что и как работает и что использую я.
1️⃣ Озвучка
Работает через API сервиса, которым вы пользуетесь. В моём случае — Lumean. Отдаёшь текст, получаешь готовый аудиофайл.
2️⃣ Whisper
После того как озвучка готова, эта утилита распознаёт аудио обратно в текст — и главное, от…
🔥36❤6👍3
10 Sept 2026, 17:19 UTC497 views3 reactionsread 27 September 2026 Video
Video, posted without a caption
👍3
6 Sept 2026, 07:58 UTC984 views50 reactionsread 27 September 2026 Photo
Как сделать софт с помощью ИИ, если ты не программист!
Как мы обычно себе это представляем: взять текст, озвучить и получить готовый ролик с релевантными материалами, подписями и переходами. Звучит сложно. Но если разложить на блоки — выглядит не так страшно. Разбираю по шагам и дам вам промт, с которого можно начать.
Начнём с базы из 8 блоков:
1️⃣ Озвучка — любой сервис синтеза речи: отдаём текст по API, получаем…
🔥41👾5❤4
Showing the 11 most recent of 11 posts we hold for @rpm_youtube. 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.
Mentions
Named by 12 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.
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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“RPM YouTube” (@rpm_youtube), 839 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/rpm_youtube.
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.