Channel
@muzindus_workshop
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
84subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003869563566 |
|---|---|
| Type | Channel |
| Username | @muzindus_workshop |
| Description | Мастерская посвящена развитию и погружению в российскую музыкальную индустрию артистов в сегменте музыкантов. Если вы артист и чувствуете, что вам нужна помощь в развитии проекта — давайте вместе разберёмся, куда двигаться дальше. |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/muzindus_workshop |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 17:16 | 84 | no change |
| 7 Aug 2026, 11:56 | 84 | +1 |
| 6 Aug 2026, 22:47 | 83 | first reading |
15 posts held, back to 23 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 1 pageof Telegram’s post history, 20 posts per page.
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. It is computed over the 14 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 15 (23 July 2026 – 5 August 2026) |
| Views total | 2,830 |
| Reactions total | 118 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 17:16 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.
Lifetime counters from Telegram’s own channel header, read 9 August 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.
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.
118 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 75 | 63.6% | |
| ❤🔥 | 21 | 17.8% | |
| 🔥 | 13 | 11.0% | |
| 💯 | 7 | 5.93% | |
| 👻 | 1 | 0.847% | |
| 🥰 | 1 | 0.847% |
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 14 of the 15 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 118reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 23 July 2026 to 5 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.
Мастерскую делали люди: организаторы, участники и приглашённые эксперты — бОльшая часть на фото, теперь вы знаете их в лицо :) Мы ещё напишем отдельные посты про всех отдельно, но пока скажем, что у нас случился идеальный симбиоз всех: организаторы создавали пространство, в котором было комфортно и безопасно учиться, фантазировать, творить; участники подхватывали заданное течение и проявляли инициативу даже там, где…
❤12❤🔥3
Мастерская закончилась В последние дни было так насыщенно в офлайне, что мы совсем пропали в этом канале, а ведь у нас ещё было: Вечер 30 июля — Фестиваль «Школочелла» от Мастерской музыкальной индустрии, на котором выступили все участники — сделаем про него отдельный пост. 31 июля — подготовка к защитам, консультации и кейсы от экспертов. 1 августа — защиты стратегий. То, ради чего мы собрались: участники рассказы…
❤7
Сегодня с нами занимались Аня из Питера и Илья, лидер группы «Рубеж веков». Аня рассказывала, как, когда и кому делать концерты и показывала мемы (пример на фотке). Илья учил разогревать тело и речевой аппарат, было смешно, трудно, а иногда даже больно! Но все выжили, челюсти остались на своих местах 💪
❤9❤🔥5
У нас сегодня был день свободной работы: ездили в Дубну, репетировали, доделывали афиши и много консультировались по проектам. А вообще-то мы завели неформальный канал, где все участники записывают кружочки с происходящим, подписывайтесь! https://t.me/muzindusy https://t.me/muzindusy https://t.me/muzindusy
❤4❤🔥2🥰1
Сегодня мы сделали очень много: два преподавателя, работа над афишами и джем. В первой половине был Андрей, звукорежиссёр Дайте танк(!), Андрея Катикова, автор проекта GLUBOKO. Он рассказывал про аранжировки, плейбэки и райдеры. Уже уехал, а очень не хотелось его отпускать 💔 Во второй — Полина, художественный фотограф, креативный продюсер. Рассказывала про визуальную составляющую артиста и её важность. Хороший ден…
❤🔥4❤2
Video message, posted without a caption
🔥4❤1
Извините, снова не можем говорить!
👻1
На четвёртый день мы устали, но скоро выходной! А пока расскажем, что сегодня (то есть уже вчера) были лекции и практики от Кати Яшниковой: говорили про концерты, коммьюнити и брендом артиста, а ещё учились искать вдохновение ❤️
❤5
Запоминайте людей на фото: если они ещё не стали легендами, то станут в ближайшие пару лет 😎
💯7❤5🔥1
Лекции и практику ведёт сегодня Агата — менеджер проектов Завтраккусто, Лензвук, Ericka Janes, YOUJNEE (ex-Васса Железнова), менеджер площадки «16 тонн». Ушли на полянку на Волге и говорим про первое касание артиста со слушателями и другой ЦА в диджитале, как его выстраивать, чтобы достичь своих целей. Собираем инсайты ✍
❤9❤🔥4🔥2
К нам приехала Лера Новикова — практикующий театральный режиссёр. Она подготовила для ребят несколько активностей: утром телесная перкуссия, импровизация и много-много движения. Вечером планируем расслабляться 💆♂️
❤6🔥4❤🔥2
Вчера мы знакомились с проектами друг друга, разбирали проблемы, с которыми сталкиваются участники. Сегодня начались лекции и практики: начнём знакомство с нашими спикерами 👩🏫
Showing the 12 most recent of 15 posts we hold for @muzindus_workshop. 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.
Citation-graph rank — 608,430 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 3 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Мастерская музыкальной индустрии” (@muzindus_workshop), 84 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/muzindus_workshop.
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.