Other / unclassifiable — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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
6 measurements spanning 41 days, net -3. 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 432–438 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:59
433
-3
8 Sept 2026, 20:37
436
-1
30 Aug 2026, 17:34
437
+2
16 Aug 2026, 03:56
435
-1
8 Aug 2026, 05:16
436
no change
7 Aug 2026, 14:26
436
first reading
Engagement
11 posts held, back to 8 June 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 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 11 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
18s
Average length
18s
Measured directly from 1 video 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
200 reactions across 11 posts, in 9 distinct kinds. The most used accounts for 23.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5255900266372296580
46
23.0%
custom 5269330865330095691
39
19.5%
custom 5260610153278894053
32
16.0%
custom 5222281740575342025
26
13.0%
custom 5265204527040065125
21
10.5%
custom 5398112745281308481
20
10.0%
custom 5373151567883041120
11
5.50%
custom 5258433034356551156
4
2.00%
custom 5458578656379041181
1
0.5%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 11 of the 11 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 200 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 8 June 2026 to 29 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
38
across the posts below
Posts paid on
11
of 11 we hold a reading for · 100%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kseniya_gre. 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 11 most recent posts we hold for this entry, published 8 June 2026 to 29 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.
Маска для волос Inhair🧴#beauty
Шикарная маска для волос с вау-эффектом!
Всегда скептически отношусь к продуктам, которые выпускают инфлюенсеры, так как чаще всего это максимально посредственные товары, но не в этом случае.
После применения волосы стали очень мягкими, шелковистыми, разглаженными, легко расчесываются и блестят.
Лично мне не зашел аромат — слишком сильный, но это совсем незначительный минус для тако…
Маска для губ MEDIHEAL 💗 #beauty
Использую маску для губ как перед нанесением макияжа, так и в течение дня и на ночь.
Невероятного эффекта не дает, но приятно увлажняет. За такую невысокую цену для меня этого достаточно.
Имеет сладкий аромат и удобный аппликатор. Такая малютка поместится в любую сумочку.
🤩 Купила в магазине «Подружка».
Очищающий мусс для лица GUERLAIN abeille royale 🧴 #beauty
Его аромат сводит меня с ума! Обожаю отдушки уходовой линейки Guerlain, для меня они пахнут максимально дорого и изысканно.
Мусс хорошо пенится, поэтому он очень экономичен в использовании — нужна всего лишь горошина средства.
На данный момент он слегка стягивает мою сухую кожу, поэтому после умывания обязательно нужно использовать сыворотку и крем.
Сахарно-солевой скраб для тела MIXIT 🧴 #beauty
В баночке скраб имеет приятную текстуру, но при нанесении начинает рассыпаться, и его сложно наносить.
Хорошо отшелушивает, но не особо увлажняет; смыть его достаточно сложно, остается ощущание пленки. В общем, как-то не зашел(
Возможно, что в другом аромате будет получше.
Аромат: Amber & tonka
Тональный тинт LIC🧴#beauty
Невесомая тональная основа с эффектом glow skin!
Пользуюсь на протяжении месяца на постоянной основе и точно могу сказать, что этот продукт однозначно стоит своих денег.
Отлично наслаивается, можно варьировать от более легкого покрытия для не проблемной кожи, до более плотного. Спокойно скрываю им легкую розацеа на щеках.
В течение дня, возможно, потребуется припудривание, но я изначаль…
Showing the 11 most recent of 11 posts we hold for @kseniya_gre. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“BY GRE” (@kseniya_gre), 433 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kseniya_gre.
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.
