Собрали подборку детских товаров от бутиков-партнеров🤍

Channel
OSKELLY
@oskelly
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
31,076subscribers
+5,899 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001070693940 |
|---|---|
| Type | Channel |
| Username | @oskelly |
| Description | Первая премиальная экосистема по управлению гардеробом Скачать приложение: https://oskelly.onelink.me/kabM/jov8go2i Регистрация в реестре РКН: https://www.gosuslugi.ru/snet/67b5866f9a7d4b3de18f1916 Поддержка: @OskellyCustomerService_Bot |
| Created | 22 October 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 55 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/oskelly |
Topic
Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 75% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 23:56 | 31,076 | -13 |
| 29 Oct 2026, 00:17 | 31,089 | -12 |
| 27 Oct 2026, 22:41 | 31,101 | -23 |
| 26 Oct 2026, 23:30 | 31,124 | -15 |
| 26 Oct 2026, 00:28 | 31,139 | -12 |
| 25 Oct 2026, 01:47 | 31,151 | -22 |
| 23 Oct 2026, 23:08 | 31,173 | -160 |
| 22 Oct 2026, 21:07 | 31,333 | -57 |
| 21 Oct 2026, 19:29 | 31,390 | -21 |
| 20 Oct 2026, 17:58 | 31,411 | -13 |
| 19 Oct 2026, 17:56 | 31,424 | -10 |
| 18 Oct 2026, 17:04 | 31,434 | -18 |
| 17 Oct 2026, 20:17 | 31,452 | -9 |
| 16 Oct 2026, 18:58 | 31,461 | +5 |
| 15 Oct 2026, 18:07 | 31,456 | -3,244 |
| 14 Oct 2026, 15:17 | 34,700 | -58 |
| 13 Oct 2026, 04:50 | 34,758 | +52 |
| 9 Oct 2026, 00:56 | 34,706 | -108 |
| 4 Oct 2026, 11:00 | 34,814 | -675 |
| 25 Sept 2026, 20:00 | 35,489 | first reading |
Engagement
378 posts held, back to 4 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 145 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.27%
- avg views ÷ 31,076 subscribers
- Avg views / post
- 1,020
- 137 posts measured
- Reaction rate
- 0.645%
- reactions ÷ views · ER floor
- Posts in window
- 138
- of 378 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. It is computed over the 101 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 October 2026 |
|---|---|
| Posts held | 378 (4 August 2026 – 29 October 2026) |
| Views total | 139,289 |
| Reactions total | 728 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 09:03 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
- ≈42,500
- Videos
- ≈4,600
- Links
- ≈9,430
Lifetime counters from Telegram’s own channel header, read 30 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
- 36m 38s
- Average length
- 1m 03s
Measured directly from 35 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
2,050 reactions across 292 posts, in 27 distinct kinds. The most used accounts for 54.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,115 | 54.4% | |
| 🔥 | 286 | 14.0% | |
| 💔 | 157 | 7.66% | |
| ❤🔥 | 107 | 5.22% | |
| 🙏 | 92 | 4.49% | |
| 🥰 | 50 | 2.44% | |
| 😱 | 40 | 1.95% | |
| 😍 | 35 | 1.71% | |
| 🕊 | 25 | 1.22% | |
| 👍 | 24 | 1.17% | |
| 💋 | 21 | 1.02% | |
| 😁 | 19 | 0.927% | |
| 😘 | 15 | 0.732% | |
| 💘 | 13 | 0.634% | |
| 👏 | 12 | 0.585% | |
| 💯 | 9 | 0.439% | |
| 🙊 | 8 | 0.39% | |
| 🫡 | 5 | 0.244% | |
| 🍾 | 3 | 0.146% | |
| 🤩 | 3 | 0.146% | |
| 7 further kinds | 11 | 0.537% |
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 304 of the 378 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 2,097 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 378 most recent posts we hold, published 4 August 2026 to 29 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
Video message, posted without a caption
Video message, posted without a caption
🎃 Время перевоплощений 🖤 Загадочные образы, драматичные силуэты, чёрное кружево, бархат и эффектные аксессуары — отличный повод добавить в гардероб немного театральности. Лоты для самых смелых модных экспериментов: от элегантной классики до экстравагантных деталей, которые точно не останутся незамеченными. Собрали на OSKELLY подборку для тех, кто предпочитает пугать окружающих исключительно безупречным стилем. 🕸️
❤1
Юбка как главный акцент 🖤 Выразительные силуэты, необычные фактуры, асимметрия и эффектные детали — в этом сезоне юбка выходит на первый план и задаёт настроение всему образу. Собрали модели, которые не нуждаются в сложной стилизации: сочетаем с лаконичным трикотажем, базовыми топами и классическими жакетами, позволяя юбке оставаться в центре внимания. ✨
❤2
Горячие лоты 🔥 Самые желанные модели, актуальные находки и редкие позиции — собрали в подборку товаров от Miu Miu, Prada и Chloé. Переходите в подборку и выбирайте свои фавориты, пока они доступны.
❤1
Друзья, дарим приятный бонус! 🖤 Промокод MELTOBER дарит скидку: 8% — на онлайн-заказы 10% — на покупки в офлайн-бутиках OSKELLY 🤍 Промокод действует с 29 по 31 октября включительно. Отличный повод порадовать себя! 🧡
❤9❤🔥5
Гид по трикотажу 🧶 Мягкий кашемир, уютная шерсть, объёмные свитеры, элегантные кардиганы и трикотажные платья — собираем идеальный гардероб на холодный сезон. Вместе с бутиками-партнёрами OSKELLY подготовили гид по трикотажу: от универсальной базы до акцентных моделей с выразительными фактурами. Выбирайте вещи, в которых тепло, комфорт и стиль встречаются в каждом образе. 🖤
🔥1
Искусство формы — Loewe 🤎 Архитектурные силуэты, мягкая кожа, скульптурные детали и узнаваемая эстетика Дома — сумки Loewe давно стали объектами желания для ценителей современного дизайна. От культовых Puzzle и Flamenco до расслабленной Squeeze — собрали самые желанные модели Loewe, в которых испанское мастерство встречается с модным экспериментом. ✨
❤2
ОРИГИНАЛ ИЛИ ПОДДЕЛКА? ❌ В выпуске вместе с Анной разбираем Loewe Amazona 🤎 На какие детали стоит обратить внимание, чтобы отличить оригинал от подделки: цвет замши, логотип, кожа, штампы и другие нюансы, которые помогут распознать фейк. Смотрите ролик и проверяйте, сможете ли вы самостоятельно определить, где оригинал, а где подделка 🖤
Balenciaga открывает горнолыжный сезон ❄️ Пьерпаоло Пиччоли представил новую коллекцию Balenciaga Skiwear — технологичные пуховики, объёмные сапоги Alaska и культовые сумки Le City, Rodeo и Le 7 в мехе и замше. Функциональная одежда для горных склонов встречается с высокой модой, а в кампейне снег идёт прямо в парижских интерьерах. Кажется, après-ski ещё никогда не выглядел так эффектно. 🖤
❤3❤🔥2🔥2
Prada превращает праздничную кампанию в настоящую сказку ✨ В Holiday 2026 бренд отказался от привычной эстетики рекламных съёмок в пользу рисованных иллюстраций и анимации. В волшебном мире Prada оживают фантазийные персонажи, а главными героями становятся Майя Хоук, Сэди Синк, Лютер Форд и другие звёзды. Получилось настоящее произведение искусства, в котором мода встречается с иллюстрацией. 🐇
❤12
Showing the 12 most recent of 378 posts we hold for @oskelly. 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
@oskelly 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
- 21 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 8 registered channels — 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.
@volgafilms · 11,4843 postsЕлена Вакуленко-Пинская
@Elena_PinskayaVakulenko · 21,8082 postskhvankris
@khvankriss · 22,7212 postsART FLASH
@AFmagazine · 25,6141 postчто ношу, куда хожу
@dana_manasir · 27,8571 postдве в Москве
@dvevmoskve · 52,0481 postFashion Factory School
@hacking_fashion · 33,1291 postBEAUTY KISTOCHKA / Кисточка красоты
@kistochkalife · 27,3211 post
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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“OSKELLY” (@oskelly), 31,076 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/oskelly.
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.