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 9 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 why it has no browse page of its own yet.
Growth
36 measurements spanning 58 days, net -1,862. 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 58,711–61,131 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
4 Oct 2026, 14:37
58,990
-283
26 Sept 2026, 06:56
59,273
-216
19 Sept 2026, 06:35
59,489
-83
16 Sept 2026, 21:18
59,572
-58
14 Sept 2026, 20:17
59,630
-27
13 Sept 2026, 03:57
59,657
-6
11 Sept 2026, 05:58
59,663
-106
8 Sept 2026, 06:35
59,769
-90
5 Sept 2026, 02:17
59,859
-69
3 Sept 2026, 08:16
59,928
-41
1 Sept 2026, 22:37
59,969
-39
31 Aug 2026, 20:36
60,008
-48
30 Aug 2026, 21:47
60,056
-38
29 Aug 2026, 21:45
60,094
-36
28 Aug 2026, 18:25
60,130
-14
27 Aug 2026, 19:07
60,144
+1
26 Aug 2026, 20:04
60,143
-11
25 Aug 2026, 18:57
60,154
-3
24 Aug 2026, 20:26
60,157
-30
23 Aug 2026, 04:04
60,187
first reading
Engagement
44 posts held, back to 23 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 119 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.8%
avg views ÷ 58,990 subscribers
Avg views / post
9,900
15 posts measured
Reaction rate
1.13%
reactions ÷ views · ER floor
Posts in window
15
of 44 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 October 2026
Posts held
44 (23 July 2026 – 2 October 2026)
Views total
148,460
Reactions total
1,675
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Oct 2026, 17:15 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
≈1,100
Videos
≈1,700
Links
≈1,070
Lifetime counters from Telegram’s own channel header, read 4 October 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
31m 59s
Average length
52s
Measured directly from 37 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
4,956 reactions across 43 posts, in 13 distinct kinds. The most used accounts for 66.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,309
66.8%
🔥
867
17.5%
👍
377
7.61%
🤩
236
4.76%
❤🔥
70
1.41%
💋
39
0.787%
😍
23
0.464%
🎉
18
0.363%
🙏
8
0.161%
💅
3
0.061%
💘
3
0.061%
🏆
2
0.04%
💯
1
0.02%
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 43 of the 44 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 4,956 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 23 July 2026 to 2 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 43 we hold a reading for · 12%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @stylish_liubov. 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 44 most recent posts we hold for this entry, published 23 July 2026 to 2 October 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.
Так сегодня началось наше с дочкой доброе утро!
Не так давно мы готовили с вами запеканку в аэрогриле🙌🏻
Еще вкуснее она получается, если к ней добавить спелые ягоды и фрукты. Лично я беру их только в @ecomarketru !
Малина потрясающая! Сейчас можно взять 125гр всего за 145р
Манго как всегда берём коробкой 2кг за 495р. Спелое, сочное и очень сладкое 🤤
А с моим промокодом этот ящик считай даром!!!
«STYLISH» на - 500…
Надеюсь для вас это будет полезным и очень информативным роликом. Если это так, то не забудьте пожалуйста оставить реакцию❤️
Колье-галстук 1087907813
Двойная подвеска 373566264
Цепь с сердцем 624742669
Чокер 1542512744
Чокер 1221464593
Чокер кристаллы 486800142
Колье многоярусное 799904535
Жемчуг с кристаллами 1114097984
Сотуар длинный 916213595
Крест 244554632
Подвеска 1542550982
Серьги 547882790
Девочки, это восторг🥹 Мой новый парфюм от ATKINSONS Gold Fair In Mayfair - ссылка 🤤
Это роскошь в золотом флаконе!
С первых секунд чувствуется лёгкая алкогольная нотка с тёплыми пряностями, а затем появляется очень красивый, нежный и пудровый ирис.
И всё это постепенно окутывает горьковато-сладкое какао. Аромат получается таким тёплым, уютным и в то же время дорогим, что хочется постоянно ощущать его на себе.
Это и…
Не забудь поставить лайк❤️, для меня это очень важно🙏🏻🥹
Рецепты простые и получаются очень вкусно 🤤
Корзиночки из мяса с грибами и сыром:
Из фарша делаем форму с углублением
Добавляем соус (майонез или йогурт с томатной пастой)
Сверху грибы с луком и сыр
В аэрогриль на 20 минут
В бейби картофель добавляем соль и сушеный чеснок. В аэрогриль на 20 минут.
Пирог с грушей:
Бездразжевое тесто раскатываем и прокалываем …
Верхов много не бывает🙌🏻
Поэтому случаю ловите уютный трикотаж! Базовые модели с интересными деталями:
Синяя 1529163832
Белая 1484881332
Красная 1482139371
Любимый кашемир @cashenelle
Их инст - ссылка
Их сайт - ссылка
Мягкий и уютный как облачко ☁️ , в котором приятно укутаться холодным днём🥰
Кашемир- это лучшая инвестиция в гардероб! Натуральная ткань, которая отлично согревает, приятно сидит на теле и смотрится благородно. Кашемир- это лучшее, что случалось с моим гардеробом!
Покупала в Золотом Яблоке 🫶🏻
спрей для объема арт. 19000471752
вуаль арт. 19000471751
Но бренд представлен и на OZON
спрей для объема арт. 2860000708
вуаль арт. 2859981553
Моя потрясающая покупка на осень - жокейские сапоги бренда @nexudepremium
Супер стильная находка, которая украсит даже самый простой образ. Просто любовь😍
Вернулась в Москву и первым делом заказала любимый @ecomarketru
Ящик мандаринов за 995 рублей😱
Действительно вкусные, сочные, без косточек и легко чистятся. Такие цены я еще не встречала, просто шок!
Плюс в межсезонье, когда начинаются пасмурные дни это будет отличным источником витамина С🍊
А с моим промокодом этот ящик считай даром!!!
«STYLISH» на -500р в корзине!
Совсем забыла вам показать свои недавние покупки🤭
Каждая вещь отличного качества и по супер приятной цене!
Жилет - 1334159551
Кардиган - 1481940660
Джинсы - 1453058690
❤106🔥22🤩8🎉1
Signed Liubov
Showing the 12 most recent of 44 posts we hold for @stylish_liubov. 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.
Posts edited after publishing
@stylish_liubov edited 1 post 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
29 August 2026
Most recent edit
29 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Stylish_Liubov” (@stylish_liubov), 58,990 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/stylish_liubov.
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.