Job listings — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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
7 measurements spanning 51 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 260–263 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Sept 2026, 15:41
260
-2
15 Sept 2026, 07:56
262
-1
8 Sept 2026, 16:16
263
+2
16 Aug 2026, 15:35
261
+1
8 Aug 2026, 09:36
260
-1
8 Aug 2026, 09:04
261
no change
7 Aug 2026, 11:49
261
first reading
Engagement
20 posts held, back to 22 July 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 20 posts for this entry, the most recent from 8 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 28s
Average length
1m 28s
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
10 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
80.0%
👍
1
10.0%
🔥
1
10.0%
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 8 of the 20 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 July 2025 to 8 May 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.
НАБОР ДЛЯ ДЕВУШЕК ТАНЦОРОВ ( не проф Bgo)
—————————————
👩🏼 ДЕВУШКИ 165+
🇨🇳 Huzhou city, Guizhou city, Jingdezhen city, Foshan city.
💃 2-4 легких шоу ( интерактивы и соло включая)
🍷 есть конс и тейбл денс ( за чаевые и %)
🕒 2 дня отдыха
🪪 робочая виза
🛫 перелет оплачиваем
🏢 апарти по 1чел/комната
👌 для тех кто в Китае
💴 зп 11000-12000¥+чай
👌 для тех кто дома или 3-й стране!
💴 зп 9000-10000+чай
🇨🇳 3-12 месяцев контр…
NEW CONTRACTS IN CHINA 🇨🇳
1️⃣ Muscle BOYS ( Shenzhen city)
2️⃣ ABgo or Bgo BOYS ( Jiangxi province)
3️⃣ ABgo or Bgo GIRLS ( Jiangxi province)
4️⃣ Acrobatics couple ( Shenzhen city)
5️⃣ Bgo GIRLS ( Guangdong province)
6️⃣ ABgo Girls ( Henan province)
🕒 2 days off per month
🏢 apartment 1ppl/ room
🪪 work visa
🛩️ international fly ticket
👌 for people in China
👌 for people abroad
🇨🇳 6-12 months contract
🏁 REHEARSAL …
НАБОР ДЛЯ ДЕВУШЕК ТАНЦОРОВ ( не проф)
—————————————
👩🏼 ДЕВУШКИ 165+
🇨🇳 Huzhou city, Zhejiang province
💃 2 легких шоу ( интерактивы за вечер)
🍷 есть конс
🕒 2 дня отдыха
🪪 робочая виза
🛫 перелет оплачиваем
🏢 апарти по 1чел/комната
👌 для тех кто в Китае
💴 зп 10000-12000¥+35% ( от чая)
👌 для тех кто дома или 3-й стране!
💴 зп 9000-10000+35% ( от чая)
🇨🇳 6-12 месяцев контракт
🏁 СТАРТ в любое время!
———————————————
CONTA…
CASTING CALL FOR DANCERS!
ONLY FULL TEAMS ARE NEEDED!
🔥 WORK IN CHINA
Dance Team Opportunity
📍 Henan, China
💃 3–6 dancers
🎭 Ethnic show style, especially Flamenco 💃
🎤 5 shows per day
📅 1 year contract
🏨 Accommodation provided
🍽 2 meals per day
✈️ Flights 2 sides + visa covered
🔥 РАБОТА В КИТАЕ
Набор танцевальной команды
📍 Хэнань, Китай
💃 3–6 танцоров
🎭 Этническое шоу, особенно Фламенко 💃
🎤 5 выступлений в день
📅 К…
КАСТИНГ ДЛЯ МУЗЫКАЛЬНЫХ ГРУПП
🎹🎷🎙️
2-3 человека группы ( певица -девушка)
Предпочитаемые инструменты: гитара, саксофон, клавиши!
Стиль ( lounge, jazz, soul, pop)
Европейская внешность!
✅ China, Sichuan province
✅ Работа в резорт-отеле
✅ 4 выхода по 40-45 мин каждый
✅ время 17:00-23:00
✅ один выходной в неделю
✅ проживание 1 чел/комната
✅ 2-х разовое питание
✅ рабочую визу предоставляем
✅ билеты по Китаю и международ…
🚩 КАСТИНГ ПРОДОЛЖАЕТСЯ!
🚩CASTING OPEN AGAIN!
—————————————
👩🏼 10 GIRLS professional Dancers minimum height 168+
🧑🏻🦱2 BOYS Dancers 180+
🇨🇳 Huzhou city, Zhejiang province
💃 4-5 shows per night
🙌 NO TABLE DANCE
⛔️ NO DRINK
🕒 2 days off per month
🏢 apartment 1ppl/ room
🪪 work visa
🛩️ international fly ticket
👌 for people in China
👌 for people abroad
🇨🇳 6-12 months contract
🏁 start in November
💵 1300-1650$
———————————…
🚩 КАСТИНГ ЗАКРЫВАЕТСЯ 09.29
🚩CASTING CLOSES ON 09.29
—————————————
👩🏼 10 GIRLS professional Dancers minimum height 168+
🧑🏻🦱2 BOYS Dancers 180+
🇨🇳 Huzhou city, Zhejiang province
💃 4-5 shows per night
🙌 NO TABLE DANCE
⛔️ NO DRINK
🕒 2 days off per month
🏢 apartment 1ppl/ room
🪪 work visa
🛩️ international fly ticket
👌 for people in China
👌 for people abroad
🇨🇳 6-12 months contract
🏁 start in middle of September
💵 130…
🚩🚩CONTRACT 🚩🚩
🚩CASTING OPEN NOW 🚩
—————————————
👩🏼 10 GIRLS professional Dancers minimum height 168+
🧑🏻🦱2 BOYS Dancers 180+
🇨🇳 Huzhou city, Zhejiang province
💃 4-5 shows per night
🙌 NO TABLE DANCE
⛔️ NO DRINK
🕒 2 days off per month
🏢 apartment 1ppl/ room
🪪 work visa
🛩️ international fly ticket
👌 for people in China
👌 for people abroad
🇨🇳 6-12 months contract
🏁 start in middle of September
💵 1300-1650$
————————————…
3 BALLET GIRLS DANCERS (only white skin girls for this position )
Need to know Classic Ballets!
🚩Working in NEW SHOW BAR
🇨🇳 Hebei province
💃 5 shows per night (5-10 minutes each show, depends of program)
🕐 working time 19:00-1:30
⛔️ NO DRINK
🍛 one meal for free
🕒 2 days off per month
🏢 apartment 1ppl/ room
🪪 work visa
✈️ fly tickets
👌 for people in China
👌 for people abroad
🇨🇳 6 months contract
🏁 start REHEARSAL 10-…
Would you like to work in this Yangzhou club ?
Хотели бы работать в этом клубе ?
Off course YESSS😍91%
No ) I like small clubs 😉9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Signed UANN agent
Showing the 12 most recent of 20 posts we hold for @UANNagency_workinasia. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Would you like to work in this Yangzhou club ?
Хотели бы работать в этом клубе ?
Off course YESSS😍91%
No ) I like small clubs 😉9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 22 July 2025 to 8 May 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“𝐔𝐀𝐍𝐍 𝐚𝐠𝐞𝐧𝐜𝐲” (@UANNagency_workinasia), 260 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/UANNagency_workinasia.
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.