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
42 measurements spanning 90 days, net +4,415. 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 7,584–13,324 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)
Subscribers
Change
5 Nov 2026, 07:22
12,662
+19
4 Nov 2026, 05:27
12,643
+17
3 Nov 2026, 03:16
12,626
+1
2 Nov 2026, 06:49
12,625
+3
1 Nov 2026, 09:36
12,622
+21
31 Oct 2026, 06:26
12,601
+3
30 Oct 2026, 05:26
12,598
+10
29 Oct 2026, 03:07
12,588
+21
28 Oct 2026, 00:47
12,567
+30
27 Oct 2026, 03:41
12,537
+26
26 Oct 2026, 06:51
12,511
+34
25 Oct 2026, 08:17
12,477
+27
24 Oct 2026, 08:00
12,450
+17
23 Oct 2026, 05:56
12,433
+46
22 Oct 2026, 06:17
12,387
+39
20 Oct 2026, 23:45
12,348
+49
20 Oct 2026, 00:10
12,299
+72
18 Oct 2026, 23:08
12,227
+131
18 Oct 2026, 00:16
12,096
+77
16 Oct 2026, 23:19
12,019
first reading
Engagement
11 posts held, back to 29 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 25 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
30.6%
avg views ÷ 12,662 subscribers
Avg views / post
3,870
5 posts measured
Reaction rate
0.909%
reactions ÷ views · ER floor
Posts in window
5
of 11 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 4 November 2026
Posts held
11 (29 July 2026 – 4 November 2026)
Views total
19,360
Reactions total
176
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 06:45 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
2m 48s
Average length
19s
Measured directly from 9 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
339 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 67.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
230
67.8%
😍
57
16.8%
🔥
46
13.6%
💋
3
0.885%
💔
3
0.885%
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 339 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 29 July 2026 to 4 November 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: 0 of 5 posts held from the last 30 days (0%) 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).
Находки для стильных образов на каждый день 🫶🏻
Ссылки - артикулы вб:
кожаные брюки алладины - 1331521900 (с мягким подкладом, идеальны на осень и зиму)
оливковый кардиган с горлом - 1474909020
(трендовая модель сейчас, выглядит очень стильно)
молочный кардиган с мехом на рукавах - 1353402830 (мех отстегивается, я отстегнула только верхнюю часть и подвернула мех, так получились более длинные рукава)
вязаный костю…
Не покупайте зимнюю верхнюю одежду, пока не посмотрите это видео 🤌🏻
Когда померила эту шубу, поняла, что в принципе готова ходить всю зиму только в ней 💔
Идеально подошла на мой высокий рост (на мне 44 размер), мех и сама шубка очень классного качества (оценила даже девушка, которая выдавала её мне на пвз вб). А рукава регулируются кулиской, можно носить их «фонариком» или оставить широкими.
Сразу оставляю здесь а…
Мои последние находки для комфортных образов на каждый день 🫶🏻
Ссылки - артикулы вб:
утепленный костюм - 1893387631
рубашка в клетку - 1378675438
черная куртка - 1803766934
До зимы осталось меньше дней, чем прошло с лета 🙈❄️
Решила начинать по чуть-чуть 🤏🏻 делать подборки праздничных и новогодних образов, чтобы успеть показать больше вариантов ✨
Ссылки - артикулы вб:
первое платье - 265212247
второе платье - 265694077
третье платье - 265194647
четвертое платье - 687389710
Роскошная подборка длинных пальто 🤌🏻
Если честно, мне с высоким ростом сложнее всего найти не джинсы и брюки, а удачную длинную верхнюю одежду 🙈
А эти пальто просто 💔💔💔
Делюсь ссылками - артикулами:
шоколадное:
вб - 1470218579
бежевое:
вб - 1470067785
озон - 5395408842
винное:
вб - 1470461175
озон - 5290543041
Девочки, с вами делюсь первыми 🫶🏻
На днях разбирала гардероб и наконец-то решила сделать канал с ресейлом. Перепродаю свои личные вещи.
Стоимость на всё ставлю в 3 раза меньше (чем брала) и ещё ниже 🤌🏻
Отправляю по Беларуси и России.
Первую партию вещей уже загрузила на канал 🤍
РЕСЕЙЛ 🔥
Ещё месяц хиханьки да хаханьки, а потом мы все вернемся к этому вайбу 😁🤌🏻
А готовиться можно уже сейчас, делюсь ссылками/артикулами на идеи образов:
образ 1:
брюки - 749597319
топ - 269721464
образ 2:
жакет - 479944593
образ 3:
жакет - 815172628
юбка - 686982680
образ 4:
жакет - 229181247
юбка - 245489070
образ 5:
брюки - 279301917
жакет - 279297104
жилет - 279297682
образ 6:
блузка - 386796352
юбка - 4768780
Подборка из моих любимых брюк, который подойдут для высоких королев 👑🤌🏻
Ссылки/артикулы:
прямые черные брюки со стрелками - 908535594
серые брюки - 749569189
черные брюки клеш от колена - 749597319 (эти подойдут с высоким каблуком)
коричневые брюки - 279301917
черные брюки клеш от колена - 122935076 (а эти подойдут с низким каблуком или с обувью на плоском ходу)
серо-коричневые брюки - 397616292
черные льняны…
❤20🔥11
Showing the 11 most recent of 11 posts we hold for @NikolaevaKaterina. 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.
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.
“Katerina Nikolaeva” (@NikolaevaKaterina), 12,662 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/NikolaevaKaterina.
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.