Ecommerce storefront — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
33 measurements spanning 43 days, net -957. 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 18,047–22,903 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:41
18,679
-112
16 Sept 2026, 20:37
18,791
-88
14 Sept 2026, 22:00
18,879
+193
13 Sept 2026, 09:58
18,686
+79
11 Sept 2026, 14:36
18,607
-10
8 Sept 2026, 22:20
18,617
-279
5 Sept 2026, 12:57
18,896
-170
3 Sept 2026, 13:18
19,066
-173
2 Sept 2026, 03:43
19,239
-118
1 Sept 2026, 06:12
19,357
-173
31 Aug 2026, 05:38
19,530
-197
30 Aug 2026, 03:28
19,727
-154
29 Aug 2026, 00:25
19,881
-139
28 Aug 2026, 02:13
20,020
-248
27 Aug 2026, 03:13
20,268
-442
26 Aug 2026, 00:04
20,710
-416
24 Aug 2026, 21:17
21,126
-232
23 Aug 2026, 04:16
21,358
-311
21 Aug 2026, 16:14
21,669
-114
20 Aug 2026, 15:18
21,783
first reading
Engagement
89 posts held, back to 3 August 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.4%
avg views ÷ 18,679 subscribers
Avg views / post
7,550
43 posts measured
Reaction rate
1.26%
reactions ÷ views · ER floor
Posts in window
43
of 89 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
89 (3 August 2026 – 2 September 2026)
Views total
324,550
Reactions total
4,087
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:18 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
Video runtime
3m 12s
Average length
32s
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
9,455 reactions across 89 posts, in 22 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3,442
36.4%
❤
2,584
27.3%
❤🔥
1,493
15.8%
💘
668
7.07%
👍
666
7.04%
💋
185
1.96%
😘
109
1.15%
😍
87
0.92%
🤗
62
0.656%
⚡
30
0.317%
💯
27
0.286%
🥰
23
0.243%
👌
18
0.19%
👏
16
0.169%
🎉
11
0.116%
✍
7
0.074%
🤝
7
0.074%
🍓
5
0.053%
🐳
5
0.053%
💔
5
0.053%
2 further kinds
5
0.053%
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 89 of the 89 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 9,455 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 3 August 2026 to 2 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.
Роскошная корзина от бренда «Магеря Косметик»❤️
Это единственный развитый российский косметический бренд, использующий магний как ингредиент-флагман.
Внутри уход бренда: пептидная маска «молодость» для свежести кожи, молочко для тела с магнием и шиммером для сияния, солнцезащитным крем для лица и тела spf 50+ и гидролат цветков бузины.
А еще лимонады Speloe Leto, коллекция вкусов из разных уголков России.
Ну скаж…
Когда мне хочется красивых аутфитов, я отправляюсь на поиск новых классных брендов❤️
Мне очень понравился бренд NEXTDORE и их стиль.
Самое главное, что все их вещи можно комбинировать между собой и в результате получится крутая капсула.
Очень понравилась рубашка с галстуком, в сочетании с пиджаком получается мой любимый стиль «офисная сирена».
Укороченная рубашка в клетку безумно стильная. У нее идеальная длина и …
1 сентября в Scrocchiarella пройдет бесплатный мастер-класс для детей по приготовлению пиццы мечты
Ресторан «Scrocchiarella» знакомит гостей с аутентичной римской пиццей, главная особенность которой — воздушное тесто с хрустящей корочкой. В основе рецептуры — столетняя итальянская закваска, а само слово scrocchiarella в переводе с итальянского означает «хрустящая».
Под руководством шеф-повара ресторана Энцо Пумилии…
ЯРКИЙ ВКУС ЛЕТА: СЕЗОННЫЕ НОВИНКИ В STARS COFFEE❤️
Этим летом арифметика Stars Coffee выглядит так: на три самых любимых месяца – три яркие кофейные новинки. Можно попробовать все три летних напитка - более того, наслаждаться ими до конца сезона до 2 сентября.
«Фраппе Вишневая Кола- любимый вкус,представленный в новом формате!
Авторский напиток на основе кофе и молока с ярким вкусом вишневой колы. Воздушная шапка в…
Для меня завтра будет максимально волнительный день, так как старший сын идет в 1 класс❤️
Готова ли я?
Не могу сказать точно😁
Готов ли Сашка?
Точно да❤️
Сегодня у нас будет особенная уходовая рутина с баночками Bioderma💫
Ванну Сашка будет принимать с очищающим гелем для душа, который бережно очищает кожу. Крем Ультра для максимального увлажнения❤️
С утра моя кожа должна выглядеть идеально, поэтому буду очищать к…
Уже завтра осень, поэтому хочу вам показать свою обновку к осенним аутфитам💫
Это сумка от Eleganzza ❤️
Женственные складки, большой удобный формат и две пары ручек для разных вариантов ношения.
Она очень стильная и ее можно носить абсолютно по-разному и комбинировать в любой стиль❤️
Увидев ее, я поняла, что мне она срочно нужна!💫
Ну скажите классная?
1 сентября всегда звучит по-особенному — звонким смехом, шёпотом первых тайн и предвкушением нового. Для детей он становится первой страницей самой интересной истории, где всё только начинается: новые друзья, новые открытия и новые вкусы.
В ресторанах Александра Раппопорта ERWIN этот праздник наполняют особым вниманием и заботой, а каждая улыбка малыша становится главной наградой, поэтому для юных посетителей подгот…
Золотое Яблоко & Eqqualberry заботятся не только об уходе за кожей, но и о здоровье🩷
В очень красивой корзинке собраны не только топовые средства Eqqualberry, но и ягоды, фрукты для полезного смузи.
Теперь у меня есть целая линейка для сияния кожи💫
Сыворотка - бустер nad+ peptide с комплексом из 14 пептидов и капсулами церамидами для упругой и сияющей кожи, богатой коллагеном.
Осветляющая сыворотка с витаминами-ан…
Недавно мне задали вопрос?
Откуда у меня белоснежная улыбка, если я постоянно пью кофе литрами?🤣
Было неожиданно такое услышать, но хочется поделиться своим секретом💫
В моих запасах всегда есть отбеливающие полоски Smilebe, я их обожаю за безопасность и эффективность🩷
Полоски путешествую со мной везде и их удобно применять.
Обычно с утра наклеиваю полоски, занимаюсь делами и через 30 минут снимаю.
Все! Белоснежная …
Продолжаю с вами делиться впечатлениями своего отдыха в Radisson Blu Олимпийский❤️
Я бы назвала этот отель местом силы, так как после отдыха в нем, возвращаюсь домой максимально отдохнувшей и заряженной.
Мне безумно понравился номер на 29 этаже и очень красивый вид на Москву.
Еще мы с семьей заказывали завтрак в номер и нам привезли очень вкусные блюда и все свежее❤️Сырники, кашу, фруктовая тарелка и многое другое…
🔥108❤🔥4👍3💘2💋1😍1
Showing the 12 most recent of 89 posts we hold for @mskateantonova. 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.
Posts edited after publishing
@mskateantonova edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
24 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 9 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
romanova_fit @romanova_fitt · 31,249 Telegram ranks this channel #2 of 76 here — alongside 75 others — read 5 September 2026
Taty Ilina @tatyilina · 31,660 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 5 September 2026
Дары Пандоры @DarPandori · 60,227 Telegram ranks this channel #7 of 30 here — alongside 29 others — read 5 September 2026
Алекс_Самохвалова/Alex_Samohvalova @alex_samohvalova_blog · 31,550 Telegram ranks this channel #10 of 78 here — alongside 77 others — read 6 September 2026
Gromov Opinion @gromovproject · 37,778 Telegram ranks this channel #12 of 62 here — alongside 61 others — read 4 September 2026
M13 @CharliesAngelsZ · 49,290 Telegram ranks this channel #16 of 67 here — alongside 66 others — read 19 September 2026
Инна Плетнева | Красота моими глазами @innamakeru · 59,200 Telegram ranks this channel #17 of 76 here — alongside 75 others — read 22 August 2026
Pavlychenkoann 💔 @milovidnayanna · 23,284 Telegram ranks this channel #25 of 77 here — alongside 76 others — read 17 September 2026
BEAUTY KISTOCHKA / Кисточка красоты @kistochkalife · 24,687 Telegram ranks this channel #43 of 70 here — alongside 69 others — read 16 September 2026
By Anakossh @anakossssh · 23,510 Telegram ranks this channel #46 of 76 here — alongside 75 others — read 18 September 2026
KSENY LAPSHINA @kseny_patches · 33,804 Telegram ranks this channel #50 of 78 here — alongside 77 others — read 1 September 2026
и просто так @writeforfriends · 28,892 Telegram ranks this channel #58 of 72 here — alongside 71 others — read 9 September 2026
Beauty_obsession💄 @beauty_obsesion · 32,008 Telegram ranks this channel #59 of 77 here — alongside 76 others — read 4 September 2026
Esthetikaty @esthetikatyl · 26,486 Telegram ranks this channel #66 of 71 here — alongside 70 others — read 18 September 2026
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“На страже красоты😍” (@mskateantonova), 18,679 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mskateantonova.
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.