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 12 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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
13 measurements spanning 35 days, net -59. 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 7,118–7,195 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 10:36
7,127
-6
6 Sept 2026, 09:54
7,133
-9
2 Sept 2026, 11:23
7,142
-3
30 Aug 2026, 12:14
7,145
-9
27 Aug 2026, 19:35
7,154
-12
24 Aug 2026, 23:27
7,166
-6
21 Aug 2026, 07:48
7,172
-2
17 Aug 2026, 22:13
7,174
-2
14 Aug 2026, 15:46
7,176
-4
11 Aug 2026, 02:21
7,180
-5
7 Aug 2026, 20:49
7,185
-1
7 Aug 2026, 15:00
7,186
no change
7 Aug 2026, 14:59
7,186
first reading
Engagement
13 posts held, back to 18 May 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 12 pages 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 13 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 22s
Average length
34s
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
657 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 65.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
429
65.3%
💔
228
34.7%
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 13 of the 13 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 657 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 18 May 2026 to 28 July 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kosmetoshka. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 13 most recent posts we hold for this entry, published 18 May 2026 to 28 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Когда утром смотришь в зеркало и сразу понимаешь: выспаться сегодня не получилось 😅
В таких случаях я люблю использовать гидрогелевые патчи iSeul. Пока готовлю завтрак или собираюсь, наношу их под глаза на несколько минут — кожа получает дополнительное увлажнение, а взгляд выглядит более свежим и отдохнувшим.
Патчи помогают уменьшить видимость отёчности и тёмных кругов, освежают кожу и разглаживают мелкие мимически…
Иногда для свежего макияжа не нужны тональный крем, контуринг и десять разных баночек. Достаточно добавить немного цвета — и лицо сразу выглядит более отдохнувшим.
Румяна-кушон iSeul в оттенке «Розовое суфле» можно наносить не только на щёки, но и на губы. Получается нежный моно макияж в одной цветовой гамме — аккуратно, естественно и без долгой растушёвки.
Особенно удобно, когда собираешься на работу, в поездку ил…
Иногда уют дома создаётся не ремонтом и не дорогим декором, а маленькими деталями.
Я, например, очень люблю, когда заходишь в комнату — и там лёгкий приятный аромат. Не резкий, не “химозный”, а именно мягкий, который просто делает пространство приятнее.
Нашла у Faberlic ароматический диффузор Pink Orchid. Это такой вариант, который поставил один раз — и он постепенно наполняет комнату ароматом без свечей, спреев и …
Я всё чаще замечаю, что уход за кожей — это не только про крем “когда вспомнила”, а про маленькие привычки каждый день.
Особенно сейчас, когда солнце активное, я стараюсь не забывать про SPF. Нашла у Faberlic дневной крем SPF50 из серии Expert Whitening — как раз вариант для ежедневного ухода, когда хочется защитить кожу от солнца и при этом поддерживать более ровный тон лица.
Мне нравится идея, что это не отдельны…
С наступлением солнечных дней поняла, что без хорошей SPF-защиты уже никуда ☀️
Сейчас тестирую серию LETO от Faberlic и решила поделиться находками.
Очень понравилось, что в линейке есть всё необходимое для лета:
✨ солнцезащитный крем для лица SPF 50
✨ антивозрастной SPF 30 для лица
✨ молочко для тела SPF 15
Средства лёгкие, комфортно ощущаются на коже и отлично подходят на каждый день — особенно если много времени…
✨ Девочки, сегодня хочу поделиться с вами чем-то особенным — я решила пройти ДНК-тест от MyGenetics!
Мне всегда было интересно понять, как мой организм реагирует на разные продукты, стресс, физические нагрузки и восстановление после тренировок. И я решила узнать это по-настоящему персонально, с помощью генетики.
Комплект пришёл аккуратный и удобный — всё просто в использовании, даже если раньше не сталкивались с ДН…
💅 Идеальные ногти за пару минут!
Недавно попробовала лаковую новинку Faberlic и хочу поделиться впечатлениями. Лак ложится ровно, насыщенный цвет держится долго, не скалывается и не теряет блеска. 🌈✨
Особенно классно, что он быстро сохнет, так что маникюр можно сделать даже в плотном графике, и при этом он выглядит аккуратно и ухоженно. А палитра цветов просто мечта — можно подобрать оттенок под любой образ или наст…
❤14💔7
Showing the 12 most recent of 13 posts we hold for @kosmetoshka. 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.
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@kosmetoshka named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@mygenetics named in 3 posts, 8 August 2026 – 11 August 2026
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Косметошка” (@kosmetoshka), 7,127 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/kosmetoshka.
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.