12 measurements spanning 33 days, net -50. 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 3,972–4,040 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Sept 2026, 17:16
3,982
+2
4 Sept 2026, 17:01
3,980
-13
31 Aug 2026, 20:08
3,993
-9
28 Aug 2026, 21:08
4,002
+1
25 Aug 2026, 21:15
4,001
-15
22 Aug 2026, 20:06
4,016
+6
19 Aug 2026, 11:12
4,010
-10
16 Aug 2026, 20:23
4,020
-3
13 Aug 2026, 05:56
4,023
-4
10 Aug 2026, 10:15
4,027
-5
7 Aug 2026, 12:01
4,032
no change
7 Aug 2026, 11:53
4,032
first reading
Engagement
16 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 4 pages 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 16 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 25s
Average length
1m 08s
Measured directly from 3 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
430 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 59.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
256
59.5%
🤣
86
20.0%
❤
38
8.84%
⚡
17
3.95%
❤🔥
9
2.09%
🏆
6
1.40%
💯
6
1.40%
🥰
5
1.16%
💩
3
0.698%
👏
1
0.233%
💋
1
0.233%
😍
1
0.233%
🤪
1
0.233%
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 15 of the 16 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 430 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 July 2026 to 7 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @glavsasha. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 30 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Охуенный пример блога РЕПЕТИТОРА.
В чём основная проблема создания контента для ЕГЭ-репетитора?
Тебе нужно быть достаточно весёлым, чтобы юные поступанты от тебя кайфовали и виралили твои ролики.
Ииии....
При этом — достаточно экспертным экспертом, чтобы их родители были готовы забашлять тебе.
Бабки-то у мамки. Тупо трешанину гнать — не получится.
Анжелика — репетитор, готовит ребят к ЕГЭ по Обществознанию.
В …
😂 Собиралсь заебаться, заебались собираться.
Один из самых частых запросов на маркетинговых разборах звучит так:
Слушай, я уже дофига всего знаю, у меня пройдено 100 обучений, распаковался с нейронкой, идей куча, ВСЁ понимаю.... хули теперь делать-то? 😂
Помимо новичков, которые хотят правильно начать и за 1-2 часа разобраться, как вообще привлекать клиентов из соцсетей, и что конкретно делать, часто приходят опытн…
Зумеры уже старые и скучные. Время поколения прошло, шутить про них больше не интересно.
Шутить надо про поколение Альфа.
Вот они-то — дебилы, конечно, гыгыгыгы.
🍑 Что приходит в голову, когда вы слышите словосочетание «ИНСТА-БЛОГЕР»?
• Глянцево-напидорашенная девочка с фиолетовой подсветкой?
• Путешествия, каблучки-макияж, ля-ля-ля, жу-жу-жу?
• «А мы как-то будем обсуждать тот факт, что... *невероятно банальная хуйня, которую вы с подружками обсудили ещё в 7-м классе*»?
Лайфстайл Владимира Шымкентского не идёт в сравнение с инста-блогершами.
Но такому быстрому росту бло…
🤔 КОУЧ или КОНЧ?
Нормальные люди считают коучей инфоцыганами. И коучи сами в этом виноваты.
Смотрите, есть такая профессия — «коучинг». Реальная профессия. Людям помогают.
На профильных обучениях рассказывают, что это нечто невероятно востребованное.
Но реальность такова, что 99,9% потенциальных клиентов — в душе не понимают, что такое этот ваш коучинг. И поэтому никогда не купят ваши услуги.
Господа, давайте по…
Я перестал быть экспертом в ваших глазах после этого кружка? 😂😂😂
🥰5👏1🔥1
Showing the 12 most recent of 16 posts we hold for @glavsasha. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Света Афанасьева @engageforsales · 29,055 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 9 September 2026
Корытин выкручивает конверсии @nmiacm · 60,399 Telegram ranks this channel #12 of 88 here — alongside 87 others — read 22 August 2026
Татьяна Маричева @tm_producer · 31,415 Telegram ranks this channel #22 of 85 here — alongside 84 others — read 6 September 2026
Артем Сенаторов печатает... @senatorov_art · 31,655 Telegram ranks this channel #22 of 83 here — alongside 82 others — read 5 September 2026
Продюсер Курчанов @kurchanov_prod · 29,225 Telegram ranks this channel #24 of 83 here — alongside 82 others — read 8 September 2026
Анжела Петкова | ИИ на практике @anjela_p · 77,301 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 22 August 2026
Телеграм Петроченкова @petrochenkow · 47,577 Telegram ranks this channel #28 of 96 here — alongside 95 others — read 26 August 2026
Канал Игоря Зуевича @zuevichigor · 39,548 Telegram ranks this channel #29 of 91 here — alongside 90 others — read 30 August 2026
Инструменты маркетолога @profit_maker · 45,880 Telegram ranks this channel #34 of 96 here — alongside 95 others — read 27 August 2026
Мари про запуски @mari_zapuski · 76,306 Telegram ranks this channel #38 of 82 here — alongside 81 others — read 19 August 2026
Егор Пыриков @egorpyrikov · 43,767 Telegram ranks this channel #39 of 80 here — alongside 79 others — read 28 August 2026
Психолог Николай Баранов @nibaranovpsy · 34,563 Telegram ranks this channel #65 of 81 here — alongside 80 others — read 3 September 2026
Tinder — продюсер & эксперт @tinder_tm · 29,262 Telegram ranks this channel #66 of 79 here — alongside 78 others — read 8 September 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 58,763 Telegram ranks this channel #87 of 95 here — alongside 94 others — read 22 August 2026
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“К чёрту блогерство!” (@glavsasha), 3,982 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/glavsasha.
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.