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 11 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 the other topics.
Growth
24 measurements spanning 90 days, net +1,353. 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 7,933–10,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
5 Nov 2026, 13:59
9,544
-14
2 Nov 2026, 04:09
9,558
-21
30 Oct 2026, 11:29
9,579
-37
27 Oct 2026, 12:30
9,616
-21
24 Oct 2026, 05:07
9,637
-11
21 Oct 2026, 09:18
9,648
-28
18 Oct 2026, 05:00
9,676
-22
14 Oct 2026, 20:56
9,698
-22
11 Oct 2026, 06:02
9,720
-34
4 Oct 2026, 20:41
9,754
-74
25 Sept 2026, 02:58
9,828
-44
15 Sept 2026, 16:22
9,872
-16
12 Sept 2026, 10:41
9,888
-16
8 Sept 2026, 06:36
9,904
-5
2 Sept 2026, 22:03
9,909
+10
30 Aug 2026, 22:46
9,899
+20
27 Aug 2026, 15:44
9,879
+180
24 Aug 2026, 17:05
9,699
+262
20 Aug 2026, 18:14
9,437
+91
17 Aug 2026, 13:26
9,346
first reading
Engagement
29 posts held, back to 6 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 35 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.3%
avg views ÷ 9,544 subscribers
Avg views / post
1,370
3 posts measured
Reaction rate
1.83%
reactions ÷ views · ER floor
Posts in window
3
of 29 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 30 October 2026
Posts held
29 (6 August 2026 – 30 October 2026)
Views total
4,100
Reactions total
75
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:43 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
≈2,590
Videos
≈76
Links
≈348
Lifetime counters from Telegram’s own channel header, read 6 November 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
1m 32s
Average length
31s
Measured directly from 3 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
1,135 reactions across 27 posts, in 3 distinct kinds. The most used accounts for 58.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
661
58.2%
😍
312
27.5%
💔
162
14.3%
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 27 of the 29 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 1,135 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 6 August 2026 to 30 October 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
Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
За последнее время было несколько покупок, которые не успела вам показать, исправляюсь!
Первый заказ от Nume, и тут нашлись идеальные брюки на осень-зиму.
Они с небольшим содержанием шерсти и в целом материал очень уютный. А лёгкий силуэт barrel позволяет носить их с любой обувью и не переживать за лужи, знаю, для многих это важный фактор. На мне в размере S.
Затем джемпер с v-образным вырезом в мятном цвете. В нё…
7 жакетов, которые идеально подойдут на осенне-зимний сезон☕️
Очень нравится, как хорошо подобные варианты работают с пропорциями. Особенно, если вы невысокого роста и обычно большинство жакетов для вас слишком длинные, то очень рекомендую присмотреться именно к такой средней длине.
sela, 11 999
lime, 8 999
lime, 9 999
zimaletto, 11 999
nume, 12 990
love republic, 7 999
sens4you, 12 999
Собрала для вас несколько идей, с чем можно стилизовать юбку с кожаной фактурой
— и это далеко не предел!
Моя от Zarina, сейчас по какой-то вообще смешной цене.
Оставляю вам ссылку, на мне размер S🖇️️️️️️
Очень классная парка в 3-х оттенках сейчас есть в Zarina
— супер универсальная модель верхней одежды, и с юбкой и с джинсами будет супер!
Здесь внутри ещё есть съемный жилет, чтобы дополнительно утеплиться.
Есть в базовом бежевом и коричневом, но я рекомендую особенно присмотреться именно к третьему оттенку.
✖️купить осеннюю капсулу
Ближе к осени захотелось добавить немного аксессуаров, поэтому показываю вам свою корзину в befree🖇️
Здесь высокие перчатки, планирую носить их как раз с тренчем, который показала вам выше.
Ремень с овальной пряжкой, пробую интегрировать этот аксессуар в образы. И кепи, пока тоже в рамках эксперимента🤪
И ещё затесался лонг с контрастными рукавами, захотелось яркого акцента.
✖️купить осеннюю капсулу
Этот тренч из Lime, чувствую, станет моей любимой покупкой на осень
— заприметила его ещё на шопинге с клиенткой, и с того момента он не выходил у меня из головы…
Выглядит эффектно и самодостаточно, чтобы вытянуть на себе даже самый базовый образ.
Добавила его в полную капсулу, но в другом цвете, как возможный вариант акцентной верхней одежды.
Если вы к нему присматриваетесь, но боитесь, что будет сложно собирать …
Базовая капсула на осень’26 ☕️🍂
— это сезонный набор вещей, благодаря которому у вас получится 27 абсолютно разных комплектов (и это далеко не предел).
Базовая капсула направлена на повседневную жизнь, чтобы вам было комфортно совершать ежедневные дела, при этом ощущать себя актуально и стильно.
Все позиции на главном слайде кликабельные и переведут вас сразу на сайт бренда.
✖️Вы также можете получить полную верси…
И ещё несколько позиций, на которые стоит обратить внимание:
1/ рубашка с ассиметричной пуговицей, очень небанально выглядит, особенно понравились контрастные манжеты и воротник (100% хлопок!)
— на мне s-m;
2/ очень приятный кардиган из велюра в молочном цвете, очень красиво в сочетании с атласным топом с кружевом
— на мне m;
3/ трикотажный жилет с широкой линией плеча, хорошо добавит разнообразия в осенние образы…
Две находки, которые никак не могу откладывать до выпуска капсулы💔
Первая - идеальные джинсы клёш из очень актуального raw-денима. На мой рост они полной длины под небольшой каблук, клёш очень деликатный, вместе со средней посадкой роскошные ноги обеспечены))
Вторая - серая футболка прилегающего кроя. Серый сейчас выходит на первый план и выглядит более свежо, чем привычная нам белая.
Мне нравится, как лаконично в…
Готовимся к осеннему сезону 👜☕️
• часть 5/6, шопинг-лист и шопинг
Теперь, когда мы провели анализ жизни, составили мудборд, разобрали и оцифровали гардероба, можно переходить к составлению списка покупок и самому шопингу!
Чтобы шопинг не преваритлся в пустые блуждания по магазинам, необходимо с умом подойти к его подготовке и правильно составить шопинг-лист. О нём и говорим в сегодняшней части🖇
В следующей части м…
❤🔥32😍6💔5
Showing the 12 most recent of 29 posts we hold for @verutkalife. 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
@verutkalife 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
12 August 2026
Most recent edit
15 August 2026
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“verutka” (@verutkalife), 9,544 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/verutkalife.
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.