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 16 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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
17 measurements spanning 65 days, net +441. 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 1,393–1,974 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 09:16
1,901
+30
5 Oct 2026, 10:37
1,871
-36
27 Sept 2026, 01:21
1,907
+45
17 Sept 2026, 18:20
1,862
-4
14 Sept 2026, 00:37
1,866
-18
10 Sept 2026, 03:38
1,884
-17
4 Sept 2026, 18:01
1,901
+104
1 Sept 2026, 05:08
1,797
+75
29 Aug 2026, 12:15
1,722
-3
26 Aug 2026, 20:54
1,725
+21
23 Aug 2026, 19:25
1,704
+3
17 Aug 2026, 12:24
1,701
+50
14 Aug 2026, 10:16
1,651
+101
11 Aug 2026, 06:52
1,550
+49
8 Aug 2026, 10:55
1,501
+41
7 Aug 2026, 22:01
1,460
no change
7 Aug 2026, 14:38
1,460
first reading
Engagement
6 posts held, back to 30 July 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 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
52s
Average length
52s
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
45 reactions across 6 posts, in 21 distinct kinds. The most used accounts for 13.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
⚡
6
13.3%
❤
5
11.1%
custom 5413657760933880470
3
6.67%
custom 5449442513616121857
3
6.67%
🙏
3
6.67%
🦄
3
6.67%
custom 5364201435858744869
2
4.44%
custom 5424972470023104089
2
4.44%
custom 5470080737711502911
2
4.44%
🆒
2
4.44%
👀
2
4.44%
👏
2
4.44%
🤩
2
4.44%
❤🔥
1
2.22%
🏆
1
2.22%
👌
1
2.22%
🔥
1
2.22%
😇
1
2.22%
😍
1
2.22%
🤔
1
2.22%
1 further kind
1
2.22%
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 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 45 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 30 July 2026 to 5 August 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.
Мне и моим коллегам тренерам требуются модели на брови, делать будем самый реалистичный перманент в волосковой техники.
7 августа в 9:30; 13:30
Пишите в лс @seleznevastudio
Перманент Новосибирск, брови
Сдам рабочее место мастеру маникюра
Кабинет расположен по адресу: Пр. Карла Маркса 57, это в 5 минутах от станции метро Студенческая. Так же прямо у БЦ есть автобусная остановка.
В кабинете работают редко, в основном в выходные дни.
В кабинете стоит стол на 2 мастеров, сдается одно оборудованное место (аппарат, встроенная вытяжка космо, лампа).
В кабинете так же есть кондиционер, кофе машина, кулер - можно пользова…
5 привычек, которые улучшат вашу жизнь 🤍
💗10-минутная зарядка утром
💗Отложи телефон во время еды
и за полчаса до сна
💗Не сравнивай себя с другими
💗Гуляй на свежем воздухе
💗Слушай аффирмации и медитации
Мастер и модель Новосибирск
В связи с открытием новой студии лазерной эпиляции , дарю скидку на первое посещение:
3 любых зоны - 1990р
4 любых зоны - 2490р
5 любых зон - 2990р
Воспользоваться предложением можно до конца августа✨️
Записать можно через телеграм, макс или вотсап по номеру телефона: 89994690586
Здравствуйте. Меня зовут Татьяна . Я мастер колорист с опытом, прошла обучение у многих топовых колористов. После очередного обучения мне нужны модели для отработки окрашиваний Halo Blond или рельеф. Оплата за материалы. Примеры окрашиваний в этом посте 🤍
✨ Ищу моделей на оформление бровей и ламинирование ресниц! ✨
До 10 августа действует акция со специальными ценами для моделей. 🤍
Если давно хотели привести брови и ресницы в порядок — сейчас отличная возможность сделать это по выгодной стоимости.
Стоимость по акции:
🌿 Оформление бровей (коррекция + окрашивание) — 600 ₽
🌿 Ламинирование бровей — 800 ₽
🌿 Полный комплекс бровей — 1000 ₽
🌿 Ламинирование ресниц с окраши…
Showing the 6 most recent of 6 posts we hold for @masterimodel_nsk. 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.
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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“Ищу модель Новосибирск | Бьюти” (@masterimodel_nsk), 1,901 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/masterimodel_nsk.
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.