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Channel

Мастерская красоты • education

@mk_beautyeducation

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

354subscribers

+7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002165166274
TypeChannel
Username@mk_beautyeducation
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/mk_beautyeducation

Topic

Education — 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 22 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 why it has no browse page of its own yet.

Growth

3463543507 August 2026 — 347 subscribers8 August 2026 — 347 subscribers8 August 2026 — 346 subscribers15 August 2026 — 347 subscribers22 August 2026 — 348 subscribers29 August 2026 — 349 subscribers7 September 2026 — 347 subscribers16 September 2026 — 354 subscribers7 August 202616 September 2026
8 measurements spanning 39 days, net +7. 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 345–355 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 01:22354+7
7 Sept 2026, 17:18347-2
29 Aug 2026, 05:33349+1
22 Aug 2026, 08:58348+1
15 Aug 2026, 18:56347+1
8 Aug 2026, 19:21346-1
8 Aug 2026, 06:50347no change
7 Aug 2026, 22:09347first reading

Engagement

9 posts held, back to 1 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 9 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 1 July 2026 to 4 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

4 Aug 2026, 10:06 UTC37 viewsread 8 August 2026
Photo

Продолжаем знакомит вас с нашими инструкторами. Горелова Софья - практикующий мастер и инструктор по бровям в г. Ростове-на-Дону. Подробнее узнать о специалисте и записаться на курсы по бровям можно на нашем сайте, или напишите оставьте (+) в комментариях и мы расскажем подробнее ♥️

28 Jul 2026, 06:02 UTC94 views1 reactionsread 8 August 2026
Photo

Узнать подробнее и записаться можно на сайте или напишите слово «программа» в комментариях и мы пришлем вам подробную информацию о курсе!

1

23 Jul 2026, 06:01 UTC107 viewsread 8 August 2026
Photo

Портфолио — твой главный продавец. Вот как сделать его сильным: 1. Свет решает всё. Снимай у окна при дневном свете. Никаких жёлтых ламп. 2. Фото ДО и ПОСЛЕ. Один ракурс, один свет — чтобы разница была очевидна. 3. Макро-детали. Крупный план работы показывает твою аккуратность. 4. Чистый фон. Уберите тюбики, салфетки и лишние предметы из кадра. 5. Единый стиль. Одна цветовая обработка для всех фото = профессиональн

21 Jul 2026, 06:39 UTC83 viewsread 8 August 2026
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Сегодня знакомим вас с нашим опытным наставником и практикующим массажистом — Андреем Малюта из Санкт-Петербурга. 👨‍⚕️ Андрей — настоящий профессионал своего дела и внимательный преподаватель. Записаться к нему на индивидуальное обучение можно на нашем сайте или оставьте + в комментариях! 💬

15 Jul 2026, 06:03 UTC107 views0 reactionsread 8 August 2026
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Как зарабатывать больше с теми же клиентами 💸 Не обязательно искать новых клиентов, чтобы поднять доход. Вот 3 рабочих способа: 1. Допуслуги К наращиванию — уход, к маникюру — дизайн. Предложи то, что усилит результат. 2. Абонементы «4 процедуры со скидкой 10%» — клиент платит сразу и остаётся с тобой надолго. 3. Премиум-формат Отдельная услуга «люкс» с лучшими материалами и ценой выше. Всегда найдётся тот, кто

13 Jul 2026, 07:02 UTC94 viewsread 8 August 2026
Photo

Знакомим Вас с нашим инструктором по маникюру и педикюру Ириной из 📍Нижнего Новгорода. Ирина, не только настоящий профессионал своего дела, но и заботливый наставник, который проведет вас «за ручку» от первых моделей до победы в конкурсах по ногтевому сервису. Записаться к Ирине на обучение можно на нашем сайте или оставьте (+) в комментариях и мы с вами свяжемся и расскажем подробнее об обучении 🙌

10 Jul 2026, 06:04 UTC109 viewsread 8 August 2026
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1️⃣Работает по чёткому протоколу, а не «на глаз» 2️⃣Знает противопоказания и не боится отказать клиенту 3️⃣Стерилизует инструменты по правилам СанПиН 4️⃣Ведёт соцсети и показывает свои работы 5️⃣Собирает отзывы и просит рекомендации 6️⃣Имеет удобную систему записи (не теряет клиентов в переписке) 7️⃣Постоянно повышает квалификацию 8️⃣Умеет назначать цену без чувства вины 9️⃣Возвращает клиента на повторную процедуру 1

Showing the 9 most recent of 9 posts we hold for @mk_beautyeducation. 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.

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

“Мастерская красоты • education” (@mk_beautyeducation), 354 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/mk_beautyeducation.

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.