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 24 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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
4 measurements spanning 16 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 201–203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Aug 2026, 15:17
203
+2
16 Aug 2026, 20:14
201
-1
8 Aug 2026, 11:30
202
no change
8 Aug 2026, 10:16
202
first reading
Engagement
6 posts held, back to 10 January 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 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 6 posts for this entry, the most recent from 6 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
31s
Average length
31s
Measured directly from 1 video 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
82 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 34.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
28
34.1%
❤
23
28.0%
👍
12
14.6%
😍
8
9.76%
🤩
6
7.32%
👏
3
3.66%
🎉
1
1.22%
🥰
1
1.22%
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 6 of the 6 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 10 January 2026 to 6 March 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.
Девочки, глаза разбегаются!😍
Сделали подборки приятных подарков на любой бюджет. У нас есть все, что поможет:
- порадовать
- расслабить
- напитать
- засиять
- удивить
В студии можно приобрести проверенные нами услуги и средства🤍 Каждая из баночек - волшебная и любимая всей нашей командой.
Получить консультацию / попробовать средство вам поможет наш администратор
А еще, сразу красиво упаковать, чтобы осталось толь…
Подарки для него, уровень «легенда»
Заботливые подарки - легендарные подарки. PlayStation, конечно, круто, но мы считаем, что подарки для ухода - это инвестиция, и они не убывают в цене на третий день использования 😄
В карусели собрали варианты подарков для него, или для вас вместе - ведь всегда можно украсть его любимую (и свою) баночку или поддержать его первый поход за заботой о руках или стопах, спланировав пар…
Идеальный подарок - просто🎁
Вы можете приобрести подарочный сертификат в нашу студию на сумму 1 000, 2 000, 3 000, 5 000 или 10 000 руб 🔥
Что важно знать:
🔘 Можно оплатить любую услугу студии.
🔘 Можно купить средства по уходу.
🔘 Отправим онлайн - удобно, если нет времени заехать.
🔘 Неиспользованный остаток сохраняется на будущие визиты.
📌Купить сертификат можно в студии по адресу Орловская 20б каждый день с 08:…
Атмосфера в студии сегодня ✨
Ещё сохраняется новогоднее настроение, а также неизменные уют и забота ❤️
Чтобы продлить волшебство,включили любимую зимнюю классику - смотрим «Один дома»🌟
А какие фильмы ассоциируются у вас с праздниками и уютом? Делитесь в комментариях 👇
На связи со Zlobina Nails Studio ❤️
Для начала диалога и подтверждения записи сохраните, пожалуйста, наш контакт ZLOBINA NAILS STUDIO 8 912 378 28 63 и отправьте любое приветственное сообщение!
Так мы сможем оставаться на связи 🤍
Идеи для вашего маникюра ❤️
Записаться online
На связи со Zlobina Nails Studio ❤️
❤7😍4👏3🎉1
Showing the 6 most recent of 6 posts we hold for @zlobina_nails_studio. 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
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 24 August 2026 — this
entry's latest reading, not the date you are reading this.
“ZLOBINA NAILS: life & beauty” (@zlobina_nails_studio), 203 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/zlobina_nails_studio.
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.
