Делюсь стильными находками с WILDBERRIES и Lamoda, люблю российские бренды 🤩
Мой инстаграм: https://www.instagram.com/iamtrendress?igsh=MXJkYnRmcTAwZjc3OA==
По сотрудничеству в PR: https://www.instagram.com/iamtrendress.pr?igsh=MXdhcGp0aWdtanY2Nw==
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Personal blog — 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 56% 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
25 measurements spanning 90 days, net -300. 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 6,864–7,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 17:10
6,909
-4
2 Nov 2026, 10:10
6,913
-4
30 Oct 2026, 15:27
6,917
-12
27 Oct 2026, 09:51
6,929
-16
24 Oct 2026, 15:50
6,945
-29
21 Oct 2026, 05:57
6,974
-11
17 Oct 2026, 21:04
6,985
-4
14 Oct 2026, 16:16
6,989
-12
11 Oct 2026, 01:17
7,001
-25
4 Oct 2026, 19:56
7,026
-39
25 Sept 2026, 02:01
7,065
-23
16 Sept 2026, 17:40
7,088
-8
12 Sept 2026, 17:19
7,096
-8
9 Sept 2026, 02:37
7,104
-13
3 Sept 2026, 14:14
7,117
-13
30 Aug 2026, 23:14
7,130
-13
27 Aug 2026, 21:52
7,143
-3
25 Aug 2026, 08:12
7,146
-7
22 Aug 2026, 18:08
7,153
-16
19 Aug 2026, 13:14
7,169
first reading
Engagement
21 posts held, back to 28 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 18 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.44%
avg views ÷ 6,909 subscribers
Avg views / post
445
5 posts measured
Reaction rate
2.07%
reactions ÷ views · ER floor
Posts in window
5
of 21 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 6 November 2026
Posts held
21 (28 July 2026 – 6 November 2026)
Views total
2,223
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:11 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
≈10,800
Videos
≈2,190
Links
≈1,980
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
3m 54s
Average length
23s
Measured directly from 10 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
267 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 83.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
224
83.9%
👍
24
8.99%
🔥
19
7.12%
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 19 of the 21 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 267 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 28 July 2026 to 6 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: 2 of 5 posts held from the last 30 days (40.0%) 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).
Как только упала первая снежинка, я сразу же начала мечтать о новогоднем столе и предвкушать праздник! Честно говоря, я не фанат посуды с новогодними рисунками - это же на один раз, а места в шкафах и так катастрофически не хватает.
Поэтому приобрела на новую кухню белоснежный набор, который впишется в любой интерьер. Он покорил моё сердечко! Держать его в руках и сервировать им стол - отдельное удовольствие, а цены…
Люблю находить вещи, которые не теряют актуальности годами - и в этом магазине как раз такая база. Забегала в Finn Flare, делюсь своей примеркой.
Что особенно понравилось:
- тёплая рубашка в клетку будет классно смотреться и с пальто и с пуховиками
- шерстяной костюм, есть ещё в оттенке графит
- трендовое пальто, есть ещё в чёрном цвете, но идеально на высокий рост, на мой 158 длина в пол
- пуховики в красивых оттен…
Не показывала здесь ещё красивую распаковку от Anna Pekun 🤍
Вы за какой образ? Что понравилось больше?
*p.s. на сайте сейчас увидела
-15% на всё
Кардиган розовый lime
Очень удобно в ТЦ найти вкусный ресторан морепродуктов. Я редко в Павелецкой плазе на шопингах, поэтому открыла для себя это место именно здесь впервые, была уже в этом рыбном ресторане по другому адресу.
Что мне нравится: всё вкусное, свежее, появилось новое осеннее меню. У меня Лера в восторге от мидий и роллов, я везде беру свою любимую дорадо с бэби картофелем и соус прошу принести отдельно.
А ещё они запустили…
После первого знакомства с аромабоксами ANGELINE я окончательно влюбилась в этот бренд!
Сейчас из сумочки не вынимаю Blossom’s Breath - для меня это идеальный девичий аромат: нежный ландыш с фиалкой, а потом мягкий ванильно-пудровый шлейф. Очень лёгкий, приятный и такой, который хочется носить каждый день.
А ещё в подарок положили пробник Infinite Eco. Он заявлен как мужской, но для меня это чистый унисекс - звучит…
То самое кресло в трендовой полоске! Спасибо всем за помощь с выбором - всё-таки остановилась на коричневом варианте. С дубом кассела коричневым будет отлично сочетаться 🤍
Пока лето поставила на балкон, потом перенесу в детскую. Такие кресла - идеальный вариант для детской: мягкие, безопасные и очень уютные.
Ещё его главный секрет - в уникальном наполнителе из мебельной пены. Оно не шуршит, как кресла-груши, и идеа…
Начинаю готовить свой гардероб к осени и сегодня беру вас с собой в FINN FLARE 🍂
Я уже с вами делилась одним образом, сегодня показываю всю примерку. Люблю этот бренд за их ДНК: лаконичные модели, простые, но качественные фактуры и стильный минимализм.
Ну и конечно же составы: примерила деним и забрала себе несколько моделей, а также летнюю коллекцию бренда, в которой упор на льняную ткань - удачное решение в образ…
Что понравилось в Ostin 🤍
Красивые осенние оттенки, в следующий раз как будет больше времени соберу образы в примерочной, пока ждала клиентку нафоткала вам
Кто к нам сегодня пришел в гости, Лера молоком покормила 🦔
❤11
Showing the 12 most recent of 21 posts we hold for @iamtrendress. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
angelinaprobeauty @angelinaprobeauty · 74,802 Telegram ranks this channel #2 of 30 here — alongside 29 others — read 23 August 2026
Galya_kononova @galya_stylist · 26,997 Telegram ranks this channel #4 of 52 here — alongside 51 others — read 12 September 2026
АЛЕКСА ЕВДОКИМОВА @alexastylist · 36,544 Telegram ranks this channel #5 of 50 here — alongside 49 others — read 1 September 2026
Лена Балтина одевает 🛍️ @lenabaltina · 21,715 Telegram ranks this channel #6 of 61 here — alongside 60 others — read 21 September 2026
stylist.irina_ @stylist_irina13 · 45,070 Telegram ranks this channel #8 of 57 here — alongside 56 others — read 27 August 2026
STREET STYLE | Всё о стиле @streetstyle_looks · 31,576 Telegram ranks this channel #9 of 67 here — alongside 66 others — read 5 September 2026
LEONTEVA MARIIA 💖 @leontevamariya_tg · 103,719 Telegram ranks this channel #9 of 50 here — alongside 49 others — read 23 August 2026
Стилист для простых смертных @vavdeyukekaterina · 32,508 Telegram ranks this channel #11 of 59 here — alongside 58 others — read 4 September 2026
Стилист Жанна Тюрина @zhanna_dressme · 43,959 Telegram ranks this channel #14 of 28 here — alongside 27 others — read 27 August 2026
nosachevastyle @nosachevastyle · 70,933 Telegram ranks this channel #16 of 49 here — alongside 48 others — read 20 August 2026
Стилист Katia Kida | Катя Кида @stylistkatiakida · 23,544 Telegram ranks this channel #26 of 56 here — alongside 55 others — read 17 September 2026
Канал о стиле Тани Компаненко @kompanenkotanya · 56,459 Telegram ranks this channel #41 of 55 here — alongside 54 others — read 23 August 2026
kapsula_ready @kapsulaready · 32,087 Telegram ranks this channel #47 of 52 here — alongside 51 others — read 5 September 2026
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Алеся Волотовская | Стилист” (@iamtrendress), 6,909 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/iamtrendress.
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.