Ботокс и увлажнение за один визит? Конечно же — да!♥️ Раньше, чтобы сделать и ботулинотерапию, и биоревитализацию, нужно было приходить дважды. Сейчас — нет. Современные протоколы позволяют совместить эти процедуры в одну. ✔️Ботулинотерапия убирает мимические морщины: расслабляет мышцы, разглаживает лоб, межбровку, уголки глаз. ✔️Биоревитализация глубоко увлажняет, улучшает цвет лица, возвращает коже упругость и си…

Channel
Дом LUNO
@domluno
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
745subscribers
+0 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 | -1001702785356 |
|---|---|
| Type | Channel |
| Username | @domluno |
| Description | ▫️Косметологи с высшим медицинским образованием ▫️Более 10 лет с вами! ▫️Самый большой парк аппаратов в Нижнем Новгороде ▫️Связаться или записаться @domluno_clinic_bot |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/domluno |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 02:02 | 745 | no change |
| 7 Aug 2026, 20:55 | 745 | first reading |
Engagement
10 posts held, back to 21 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 · 30 days
- 21.8%
- avg views ÷ 745 subscribers
- Avg views / post
- 162
- 7 posts measured
- Reaction rate
- 2.77%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 10 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 10 (21 July 2026 – 6 August 2026) |
| Views total | 1,136 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:02 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
- Photos
- ≈1,210
- Videos
- ≈541
- Links
- ≈49
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 3m 34s
- Average length
- 36s
Measured directly from 6 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
50 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 62.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 62.0% | |
| 🔥 | 10 | 20.0% | |
| 👍 | 5 | 10.0% | |
| ❤🔥 | 2 | 4.00% | |
| 😁 | 2 | 4.00% |
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 9 of the 10 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 21 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
Сделали СМАС-лифтинг пациентке в 33 года: слишком рано или самое время? Наша пациентка Анна пришла с просьбой вернуть ей подтянутый овал лица и убрать второй подбородок. Это не первое посещение косметолога, но ранее Анна не делала аппаратные процедуры. SMAS-лифтинг за один сеанс обеспечивает мощное омоложение: — подтягивает и укрепляет ткани повышает плотность и упругость кожи — профилактирует гравитационный птоз: …
❤3🔥2👍1
Выровняли тон, убрали сосуды и пигментацию! Работаем даже летом 🌺 К нам обратилась Елена с запросом о том, что она хочет: — Ровный цвет лица — Убрать пигментные пятна — Устранить сосудистую сетку — Освежить кожу в целом Анна Александровна выполнила фотоомоложение LUMECCA. Уже после первой процедуры: ✔️Тон выровнялся ✔️Пигмент заметно посветлел ✔️Сосуды исчезли ✔️Кожа выглядит отдохнувшей и сияющей И важный момент…
❤2👍1🔥1
4 факта про OLIGIO, которые вы точно не знали 🤍 Термолифтинг OLIGIO — это умная, физиологичная технология омоложения. Без агрессивной травмы, без истончения кожи и без длительной реабилитации. Во время процедуры кожа прогревается до 58 градусов. Именно такой контролируемый прогрев запускает мощную стимуляцию коллагена, но при этом остается безопасным для кожи и окружающих тканей. Процедура сохраняет жировые пакеты…
🔥3❤1
Смотрите как сократилась кожа верхнего века всего за 1 безболезненную и безреабилитационную процедуру OLIGIO! Помимо этого, процедура убрала морщинки вокруг глаз. Мы не миримся с несовершенствами — мы их устраняем! 🔥 ✔️ Oligio = трехмерное уплотнение кожи, лифтинг, выравнивание текстуры ✔️ Результат СРАЗУ после процедуры ✔️ Без боли и следов Ставьте + в комментариях, расскажем подробности стоимость процедуры ⬇️
❤5🔥1
Увлажняем кожу в 50 лет! 💦 Вы можете пользоваться дорогими кремами, но если коже не хватает влаги изнутри, она все равно будет выглядеть тусклой, уставшей и менее упругой. Именно поэтому биоревитализация — одна из самых востребованных процедур в косметологии. Она не меняет черты лица и не создает эффект «сделанного» лица. Она восстанавливает качество кожи: возвращает ей увлажненность, плотность, сияние и здоровый в…
❤4👍1
Аппаратный массаж RSL: в среднем курс RSL состоит из 8-10 процедур — по 2/3 процедуры в неделю* А значит — полный курс получится закончить за 1 месяц! За этот месяц у вас уйдут лишние сантиметры и отеки, кожа станет гладкой и упругой. *Количество и частота процедур индивидуальна для каждого случая. Курс назначает ваш врач! Хотите понять, подходит ли вам этот массаж? Тогда пишите «+» в комментариях, и мы подберем …
❤3🔥1
Oligio — технология, которая меняет структуру кожи изнутри! Процедура Oligio — это ювелирная точность, контролируемая глубина и индивидуальный план омоложения. Риски сведены к минимуму, комфорт — к максимуму. Что дает процедура: ✔️Мгновенный эффект: чёткий овал, приподнятые скулы, свежий взгляд. Результат виден сразу. ✔️Ваши собственные клетки активирует выработку коллагена, улучшая качество кожи месяц за месяцем. …
❤6😁2
ИЗБАВИЛИСЬ ОТ «СПАСАТЕЛЬНОГО КРУГА» ПЕРЕД ОТПУСКОМ 🌴 RSL-sculpting — один из топовых аппаратов, который с легкостью поможет убрать отеки и привести фигуру «в порядок». Наша гостья прошла курс всего из 5ти процедур перед отпуском и посмотрите, какой прекрасный результат: — объемы заметно сократились, ушла лишняя вода — кожа стала более гладкой и упругой Хотите так же? Напишите «тело» в комментариях, и мы запишем ва…
❤4🔥2👍1
Мощное преображение кожи: глубокое омоложение и подтяжка!🔥 Микроигольчатый RF-лифтинг восстанавливает кожу на уровне глубоких слоев и заставляет ее вырабатывать собственный коллаген. Это значит, что кожа омолаживается за счет пробуждения своих собственных ресурсов. ✔️Процедуру можно проводить даже в летний период! Результат виден уже после 14 дней: ▫️сокращаются морщины и признаки гравитационного птоза ▫️уменьшают…
❤3❤🔥2👍1
Showing the 10 most recent of 10 posts we hold for @domluno. 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 — 552,135 of 1,585,237entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Дом LUNO” (@domluno), 745 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/domluno.
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.