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 19 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
5 measurements spanning 41 days, net -1. 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 957–960 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 09:40
958
-2
31 Aug 2026, 14:46
960
+3
16 Aug 2026, 03:46
957
-2
8 Aug 2026, 00:48
959
no change
7 Aug 2026, 14:05
959
first reading
Engagement
3 posts held, back to 21 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 3 posts for this entry, the most recent from 5 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
115 reactions across 3 posts, in 6 distinct kinds. The most used accounts for 26.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
30
26.1%
custom 5199436560419804511
29
25.2%
custom 5453930599821630930
21
18.3%
custom 5287652100598155639
20
17.4%
custom 5454069812596595890
14
12.2%
custom 5458524166128951641
1
0.87%
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 3 of the 3 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 115 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 3 most recent posts we hold, published 21 December 2025 to 5 July 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.
КОНТАКТ
Жакет Onsitsa €1500. One of a kind. Сшит из антикварных тканей и окрашен вручную. Воротник украшен объемными розами из шелка и хлопка.
Доставка из Стамбула @ooonsitsa
Тиара J.Nikadimus. Архив, под заказ. Вышивка канителью и жемчугом по старинным технологиям. Дизайн Юханн Никадимус
___
Модели Настя и Иван
Фото Елена Таш и Юханн Никадимус
Илья Кузнецов на днях прислал мне фото как выглядит пояс-аркан в его неразрезанном виде, и это снова и снова восторг 🤩
и здесь дело не только в этом символичном круге и спирали на самом деле, а в том, кто эту спираль разрезал и закрутил. Да? 🤩
очень рада, что наша коллаборация с Ильей случилась и продолжается, две аутентичности довольны
да, пояс можно купить
красный
черный
Считаю, что лучшее, что может случаться с людьми в искусстве — это встреча и работа с другими художниками, "своими" людьми.
Буквально испытываю экстаз от того, что могу показать традиционные головные уборы мастеру по волосам, попросить замешать панка к ним, и все это перевести в прическу — и меня понимают 🤩
К идее с традиционными головными уборами я прибегаю уже второй раз, первый — очень удачный опыт— был в коллек…
Showing the 3 most recent of 3 posts we hold for @ooonsitsa. 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.
Forward network
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 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Onsitsa” (@ooonsitsa), 958 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ooonsitsa.
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.
