Telegram RegisterThe public register of Telegram

Channel

RUAPP

@ru_app_official

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,083subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001654128631
TypeChannel
Username@ru_app_official
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/ru_app_official

Growth

1,0831,0851,0846 August 2026 — 1,085 subscribers6 August 2026 — 1,085 subscribers9 August 2026 — 1,083 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net -2. 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 1,083–1,085 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 17:421,083-2
6 Aug 2026, 15:541,085no change
6 Aug 2026, 15:361,085first reading

Engagement

12 posts held, back to 30 July 2026the 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 · 30 days
39.1%
avg views ÷ 1,083 subscribers
Avg views / post
423
11 posts measured
Reaction rate
2.01%
reactions ÷ views · ER floor
Posts in window
12
of 12 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. It is computed over the 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held12 (30 July 20266 August 2026)
Views total4,656
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 15:36 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.

Reaction mix

91 reactions across 10 posts, in 20 distinct kinds. The most used accounts for 19.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1819.8%
🥴1415.4%
🔥1213.2%
😍77.69%
🤷‍♂77.69%
😁55.49%
👍44.40%
😭44.40%
❤‍🔥33.30%
🙊33.30%
🤷33.30%
🍓22.20%
🎉22.20%
🆒11.10%
👀11.10%
👏11.10%
💘11.10%
🤷‍♀11.10%
🥰11.10%
🦄11.10%

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 10 of the 12 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 91reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 30 July 2026 to 6 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.

Recent posts

6 Aug 2026, 14:07 UTC131 viewsread 6 August 2026
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Представляем авангард профессионального пирсинга - бренд HOLETRON⚡️⚡️⚡️ Компания выросла из многолетней практики мастеров и стремления развивать индустрию. Каждый инструмент создается с учетом реальных потребностей специалистов, чтобы облегчить работу, повысить комфорт и безопасность клиента: 🚀Ультра-острые иглы HOLETRON 🚀Инновационные разработки BENDERTRON и CUPTRON, упрощающие рабочие процессы 🚀Другие решения

6 Aug 2026, 11:36 UTC202 views4 reactionsread 6 August 2026
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Впервые на RuAPP? Отвечаем на главные вопросы! 👋 Друзья, мы знаем, что у многих из вас, кто собирается на конференцию впервые, есть вопросы. Поэтому мы собрали самое важное в один пост — специально для новичков! 🔥 ❓ Кому подойдёт конференция? Конференция рассчитана на любой уровень подготовки — от самых основ до высшего пилотажа. Для новичков подготовлены базовые лекции по пирсингу. Опытные мастера, владельцы студ

4

5 Aug 2026, 16:05 UTC272 views3 reactionsread 6 August 2026
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Вторая лекция от члена приемной комиссии РуАПП Сергея Медведева😎 «Пирсинг и шрамы» Формат: Лекция Продолжительность: 60 минут Рубцовая ткань — это соединительная ткань, которая образуется в местах повреждения как своеобразная «заплатка». 🩹Она выполняет защитную функцию, закрывая дефект, но по своим свойствам сильно отличается от здоровой кожи: менее эластична, хуже растягивается, не содержит сосудов, волосяных фол

3

5 Aug 2026, 10:39 UTC575 views3 reactionsread 6 August 2026
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Финальная лекция от Екатерины Рауш на Конференции RuAPP9 🧨 «Даунсайз» Формат: Лекция Продолжительность: 60 минут Разберёмся, зачем нужен даунсайз в пирсинге, когда его необходимо проводить и можно ли обойтись без него. Поговорим о распространённых ошибках, последствиях отказа от даунсайза и о том, как эта процедура влияет на комфорт клиента и качество заживления. 💥Не упустите последний шанс зарегистрироваться и

👍1👏1🔥1

4 Aug 2026, 07:17 UTC376 views1 reactionsread 6 August 2026
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Экспонент Конференции RuAPP9 - LITA jewellery! Бренд украшений для пирсинга, вдохновлённый Таиландом🇹🇭 Каждая коллекция рождается из реальных мест, путешествий и историй. Это не просто украшения, а маленькие талисманы, которые сохраняют воспоминания о приключениях, свободе и любви к Азии🪷🤲🏻  🪷Разработано мастером пирсинга для мастеров пирсинга - каждое украшение продумано так, чтобы подойти клиентам с самой разной

1

3 Aug 2026, 13:43 UTC424 views16 reactionsread 6 August 2026
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⏳ ВСЁ! ОСТАЛОСЬ 2 ДНЯ! Друзья, регистрация на RuAPP9 закроется 6 августа. Это ваш последний шанс попасть на главное событие года по действующей цене! 🚨 Если вы уже отправили заявку, но не оплатили билет — сейчас самое время это сделать. Мы ждали вас, но места ограничены. Без оплаты заявка не считается подтверждённой, и ваше место может уйти другому участнику. 💰 Что будет после 6 августа? Билеты можно будет купить

🤷‍♂4😁4🥴3🍓1🤷1🤷‍♀1🥰1😍1

3 Aug 2026, 06:15 UTC355 views9 reactionsread 6 August 2026
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Вторую лекцию на Конференции RuAPP9 представит - Мария Кочановская. 👩🏼‍⚕️Мария - мастер с высшим медицинским образованием по специальности патологоанатом, руководитель студии пирсинга в Минске и организатор белорусской конференции по пирсингу ByAPP❤️‍🔥 "Процесс заживления канала прокола с точки зрения патологоанатома" Формат: Лекция Продолжительность: 90 минут Мы всегда руководствовались базовыми теоретическими зн

❤‍🔥3👍31💘1😍1

2 Aug 2026, 07:27 UTC413 views29 reactionsread 6 August 2026
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Главное событие вечера 16 августа — Roof Party! Завершим конференцию вечеринкой-пикником на крыше (PIERCERS WHO GRILL) с потрясающим видом, вкусной едой и отличной компанией 🔥 Домашняя атмосфера американских вечеринок "для своих" на заднем дворе. Дресс код: redneck party/ white trash bbq party🍻🥩 До встречи на RuAPP9! Скучно точно не будет, готовим для вам множество интересных интерактивов❤️‍🔥

🥴9🔥5😭4🤷‍♂3🙊31🍓1🦄1

2 Aug 2026, 06:43 UTC370 views7 reactionsread 6 August 2026
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⏳ ДВЕ НЕДЕЛИ ДО RuAPP9! Друзья, до главного события года в индустрии пирсинга осталось всего 14 дней! Конференция пройдёт в Москве уже 14–16 августа – самое время начать собираться и знакомиться с программой. Кто выступает и о чём? Все спикеры и темы лекций уже опубликованы на сайте. Программа практически полностью сформирована – можно заранее спланировать своё расписание и отметить самые важные выступления. Заходи

2🤷2🥴2👀1

1 Aug 2026, 06:13 UTC408 views14 reactionsread 6 August 2026
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Вторая лекция от рекомендованного мастера РуАПП - Виктории Томс 🫶🏻 “Перчатки и пирсинг” Формат: Лекция Продолжительность: 60 минут 🧤Перчатки. Одно из средств защиты мастера от клиента и клиента от мастера. Уверен, что работаешь с ними правильно?😉 ☝На лекции мы разберем основные виды перчаток для мастера по пирсингу, их отличия, уровень безопасности; научимся правильно надевать и снимать их. Работаешь ли ты в полиэ

🔥54😍4🎉1

30 Jul 2026, 06:42 UTC≈1,130 views5 reactionsread 6 August 2026
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Следующая лекция Конференции RuAPP9 от гуру российской индустрии пирсинга - Екатерина Рауш 🤩 «Анатомия против пирсинга» Формат: Лекция Продолжительность: 90 минут На лекции я расскажу, как анатомические особенности тела влияют на выбор места для прокола, и почему важно учитывать индивидуальное строение каждого клиента☝🏻 🗣️А также поговорим о принципах оценки анатомии, критериях выбора подходящих проколов и огранич

2🎉1🔥1😍1

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

Citation-graph rank — 94,559 of 1,350,102entries 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.

Forward network

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 1 registered channel — 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.

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

“RUAPP” (@ru_app_official), 1,083 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/ru_app_official.

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.