Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 16 October 2026 and assigned it the closest of 31 fixed categories, at 96% 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
9 measurements spanning 17 days, net -367. 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 33,650–34,127 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Oct 2026, 01:56
33,705
-28
17 Oct 2026, 23:21
33,733
-15
17 Oct 2026, 02:45
33,748
+31
16 Oct 2026, 00:45
33,717
-28
15 Oct 2026, 00:15
33,745
-20
13 Oct 2026, 21:36
33,765
-96
10 Oct 2026, 15:17
33,861
-82
6 Oct 2026, 12:38
33,943
-129
1 Oct 2026, 14:22
34,072
first reading
Engagement
15 posts held, back to 18 September 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 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 33,705 subscribers
Avg views / post
4,330
13 posts measured
Reaction rate
1.26%
reactions ÷ views · ER floor
Posts in window
13
of 15 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 15 October 2026
Posts held
15 (18 September 2026 – 15 October 2026)
Views total
56,250
Reactions total
707
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Oct 2026, 19:48 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
400
Videos
263
Links
34
Lifetime counters from Telegram’s own channel header, read 19 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 44s
Average length
16s
Measured directly from 14 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
828 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
414
50.0%
🔥
197
23.8%
😁
77
9.30%
🤣
45
5.43%
👍
33
3.99%
👏
18
2.17%
❤🔥
17
2.05%
🍓
10
1.21%
🥰
5
0.604%
😍
4
0.483%
🙏
4
0.483%
🥴
4
0.483%
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 15 of the 15 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 828 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 18 September 2026 to 15 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.
🥹 если есть животик, то трикотажные кофточки носить нельзя… или можно???
Можно конечно!
Надо выбрать изделие плотной вязки, которое будет держать форму.
Носить такие свитера можно и на работу, и на прогулку и на мероприятие любое!
Я нашла 2 классные модели.
Размеры есть от 42го до 56го‼️
(На мне размер 50-56)
БОРДОВЫЙ СВИТЕР ЗДЕСЬ
арт OZON #5525539865
КОРИЧНЕВОЕ ПОЛО ЗДЕСЬ
арт OZON #5525537540
Ткань очень мягка…
😎 часто спрашивают про мой уход за волосами.
Я пользуюсь 2й год одной классной маской для волос - очень бюджетно выходит. Результат всегда - как после салона дорогого)
МАСКА ЗДЕСЬ НА WB
МАСКА ЗДЕСЬ НА OZON
✔️в составе комплекс Olaplex BADD (FRNDLY BEAUTY - первый российский бренд, получивший доступ к этой молекуле).
✔️Восстановление уже после первого применения.
✔️Работает на молекулярном уровне, а не только на п…
🤩 Я влезла в джинсы, в которые 5 лет не могла влезть…
Да, майки утяжки - это НАХОДКА!
Нет, в ней не тяжело сидеть!
Нет, в ней не тяжело дышать!
Да, в ней очень комфортно!
Да, она поддерживает без лифчика даже самую большую грудь🙌
МАЙКА УТЯЖКА ЗДЕСЬ WB
арт WB #00000419028489
😎на мне Майка XL
Мои параметры - 110/90/105
_________
❤️если вам понравилось и было полезно, просто напишите пожалуйста об этом в комментария…
😎 только тссссс, никому…
Я нашла афигенные шапки. В которых мы будем выглядеть и осенью и зимой как КОРОЛЕВЫ!
Будет и тепло нам, и стильно!
Столько моделей разных, смотрите и выбирайте скорее, пока не разобрали все.
ЧЕРНАЯ ШАПКА ЗДЕСЬ
Арт WB 1277733742
БЕЛАЯ ШАПКА ЗДЕСЬ
Арт WB 1277733711
СЕРАЯ ПАНАМА ЗДЕСЬ
Арт WB 1277763696
БЕЛАЯ ПАНАМА ЗДЕСЬ
Арт WB 1277763670
У всех моделей есть кулиски, можно внутри затянуть…
🙌 Блузочки находочки, девочки!
БЛУЗКА ЧЕРНАЯ С ЦВЕТАМИ
арт WB 1484139025
БЛУЗКА ШОКОЛАДНАЯ ТУТ
арт WB 1705335976
Наглядно решила вам показать на примере черной блузки, как можно испортить образ… если не знать правила.
Если было полезно, я могу чаще про это рассказывать и наглядно показывать все хитрости, как с помощью одежды визуально СТРОЙНЕТЬ!
❤️Делать еще такой контент?
Вам было полезно?
Домашняя одежда теперь не только удобная, а еще и секси)
Все пижамы от бренда ДЮМА
Размеры от S до XXL
( на мне пижамы в размере XL )
ЗАКАЗАЛА ИХ ЗДЕСЬ
Ткань просто как вторая кожа, мягонько обнимает.
Тянется но и форма не теряет!
ГОЛУБАЯ ПИЖАМА ТУТ
ЧЕРНАЯ ПИЖАМА ТУТ
С ШОРТАМИ ПИЖАМА
СОРОЧКА СЕРАЯ ТУТ
ХАЛАТ СЕРЫЙ ТУТ
СОРОЧКА БУРГУНДИ ТУТ
ХАЛАТ БУРГУНДИ ТУТ
________
🫶 мне надо выбрать, какие 2 пижамы оставит…
✔️НОРМ или СТРЕМ в 35+
На связи жирный стилист и отекший ученый)
Запустили с ВИТАЛИЕМ новую рубрику для вас. Хотели и пользы дать и настроение поднять…
Получилось у нас?
Продолжаем?
Может у вас есть вопросы для нашей рубрики «НОРМ или СТРЕМ» - пишите их в комментариях⬇️
🔥36❤19🥰5😁1
Signed Юля
Showing the 12 most recent of 15 posts we hold for @Juliaodevaet. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
СТИЛИСТ ТАТЬЯНА АНДЕРЭПЛСТАЙЛ/UNDERAPPLESTYLE @underapplestyle · 10,016#1
Read from Telegram’s recommendation API, most recently 1 October 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
THETOUR - выгодные путешествия,акции от отелей @thetourufa · 19,471 Telegram ranks this channel #18 of 45 here — alongside 44 others — read 1 October 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 19 October 2026 — this
entry's latest reading, not the date you are reading this.
“juliaodevaet” (@Juliaodevaet), 33,705 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/Juliaodevaet.
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.