Marketing & affiliate — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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
32 measurements spanning 43 days, net -199. 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 10,271–10,550 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:16
10,319
+1
16 Sept 2026, 17:16
10,318
-7
14 Sept 2026, 21:01
10,325
-11
11 Sept 2026, 06:36
10,336
+33
8 Sept 2026, 08:37
10,303
-29
5 Sept 2026, 04:18
10,332
-11
3 Sept 2026, 11:55
10,343
-8
2 Sept 2026, 08:28
10,351
-6
1 Sept 2026, 08:28
10,357
-10
31 Aug 2026, 11:13
10,367
-8
30 Aug 2026, 12:04
10,375
-7
29 Aug 2026, 15:14
10,382
-9
28 Aug 2026, 17:44
10,391
-10
27 Aug 2026, 15:33
10,401
-2
26 Aug 2026, 12:12
10,403
-8
25 Aug 2026, 11:32
10,411
-1
24 Aug 2026, 13:33
10,412
-22
22 Aug 2026, 22:48
10,434
-4
21 Aug 2026, 11:28
10,438
-5
20 Aug 2026, 13:53
10,443
first reading
Engagement
29 posts held, back to 6 June 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 40 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.13%
avg views ÷ 10,319 subscribers
Avg views / post
220
4 posts measured
Reaction rate
7.51%
reactions ÷ views · ER floor
Posts in window
4
of 29 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 29 August 2026
Posts held
29 (6 June 2026 – 29 August 2026)
Views total
879
Reactions total
66
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 15:03 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
5m 07s
Average length
51s
Measured directly from 6 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
1,277 reactions across 29 posts, in 12 distinct kinds. The most used accounts for 38.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
492
38.5%
❤
477
37.4%
👍
123
9.63%
👏
103
8.07%
🥰
29
2.27%
😁
27
2.11%
💯
11
0.861%
custom 5206397727449031466
8
0.626%
🤔
2
0.157%
🤩
2
0.157%
🤯
2
0.157%
😢
1
0.078%
Custom emoji. One row above is a 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 count beside it is 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 29 of the 29 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 1,277 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 6 June 2026 to 29 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.
Истрия Олеси - не единственная. Четкий ответ «кто вы и для кого вы» всегда дает рост, потому что:
– людям проще понять, что им к вам;
– вам проще рассказывать о своей работе, вы звучите тверже и увереннее;
– становится понятнее, о чём вести блог;
– легче создавать продукты для конкретной аудитории;
- растет конверсия первых встреч и диагностик, потому что люди приходят именно к вам и хотят работать именно с вами…
Что меняется, когда вы наконец выбираете свою нишу и становитесь понятны аудитории?
Лучше всего об этом говорят результаты участников. Посмотрите короткий видеоотзыв Олеси Седовой, она была у нас на премиалке за 800 тысяч и там проработала свое позиционирование
Если вы не можете за 30 секунд объяснить, кто вы и для кого вы — клиенту тоже будет сложно это понять.
Недавно меня пригласили на презентацию нового метода в коучинге. Конечно, в перерыве я решила познакомиться с другими гостями. И вот какие диалоги случились:
- Чем вы занимаетесь?
- Я коуч
- А с каким запросом работаете?
- Ну, я работаю с запросом на личностный рост, перестать прокрастинировать, за ростом в доходе…
Рабочая суббота)
Прямо ждала ее❤️
Очень вдохновляет сейчас работа с группой и каждым участником.
А сегодняшний формат - день внедрения - позволяет и мне уделить время своим проектам.
Заметили, над каким мк сейчас работаю)?😉
Нужно выложить контент, а в голове только один вопрос: «О чём?»
Уже третий день я по уши в разработке агента для контента. Просто я заметила, что даже когда даёшь людям стратегию, структуру и понимание, КАК делать контент, в моменте всё равно бывает непоеятно:
«А о чём сегодня вообще публиковать?»
Так что я сейчас докручиваю агента, который помогает находить темы для:
✅ экспертного контента
✅ личного контента
✅ ла…
Мой вывод по новому формату групповой работы: большому дню внедрения быть!
Внесу некоторые корректировки по таймингу и подготовке, и станет еще лучше.
А сейчас - вы только посмотрите на эту атмосферу🔥🔥🔥
Пространство, в котором царит продуктивность, сработало для каждого👍🏻
Я придумала новый формат групповой работы🔥
Да, я не видела на других группах для коучей и психологов такое, поэтому скромно присвою авторство себе)
Название: Большой день внедрения
Суть: встречаемся группой в зуме на 4 часа. Каждый говорит, над какими задачами по привлечению клиентов в эти 4 часа будет работать. А потом… работает, не выключая зум))
Каждые 1,5 часа сверяемся - у кого как дела
Все!
Цель встречи- …
Про группу роста, как я ее набрала и как сейчас дела у участников31%
Про планы, что и как можно у меня скоро можно будет купить24%
Ваш вариант (в комментариях)2%
The shares total 190%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Мне сложно вести ТГ канал
(поэтому последний пост тут был 2 недели назад)
Кажется, контент тут должен быть более экспертным, более структурным, более полезным
В Инсте таких ожиданий у меня от своего контента нет, кстати. Сторис веду по принципу «ленивые сторис» - что происходит, то и рассказываю, единственное - делаю больше акцентов на экспертной своей стороне.
Рилсы снимаю тоже куда легче, чем посты в ТГ пишу.
…
❤72👍12🔥11
Showing the 12 most recent of 29 posts we hold for @mariyadovnar_channel. 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.
Про группу роста, как я ее набрала и как сейчас дела у участников31%
Про планы, что и как можно у меня скоро можно будет купить24%
Ваш вариант (в комментариях)2%
The shares total 190%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 29 most recent posts we hold, published 6 June 2026 to 29 August 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Мария Солодар | Интернет-маркетинг и фриланс @marketing_Solodar · 22,212 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 21 September 2026
Олеся Седова @sedova_olesya_szr · 28,120 Telegram ranks this channel #3 of 74 here — alongside 73 others — read 13 September 2026
Подруга маркетолог (Маргарита Захарова) @marketing_dir · 34,350 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 4 September 2026
Алла Филина. Путь Героя @yourgreatlife · 45,682 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 27 August 2026
Юра Мурадян @ymuradyan · 39,275 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 30 August 2026
Тата Феодориди @TatFeodoridy · 60,022 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 22 August 2026
Наташа Жукова.Рядом 🫂 @zhukova_ryadom · 28,164 Telegram ranks this channel #5 of 93 here — alongside 92 others — read 9 September 2026
Артем Сенаторов печатает... @senatorov_art · 31,418 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 5 September 2026
Мария Бразговская @MBrazgovskaia · 56,295 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 23 August 2026
Mikhail Saidov @MikhailSaidov · 54,694 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 24 August 2026
5 ПРИЗМ Академия | Коучинг, который меняет жизнь | 5 PRISM @academ5prism · 35,236 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 2 September 2026
Катерина Ленгольд @Katerinalengold · 71,428 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 20 August 2026
Канал Ирины Подрез @ipodrez · 29,426 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 8 September 2026
Михаил Дементьев. Кинетический интеллект @kintellect · 36,355 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 1 September 2026
Седа Каспарова @Seda_Kasparova_news · 257,316 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 10 August 2026
Психолог Николай Баранов @nibaranovpsy · 34,869 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 3 September 2026
Психолог Александр Шахов @alex_shahov_fg · 34,096 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 3 September 2026
Маркетинг. Александра Гуреева @alexandra_gureeva · 21,578 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 23 September 2026
Филипп Гузенюк I Счастье в деятельности @guzenuk · 22,321 Telegram ranks this channel #19 of 99 here — alongside 98 others — read 21 September 2026
💭Инсайтовская форточка @garikovainsight · 23,823 Telegram ranks this channel #19 of 82 here — alongside 81 others — read 17 September 2026
Жизнь и тело с Оксаной @telo_psy · 22,276 Telegram ranks this channel #22 of 95 here — alongside 94 others — read 21 September 2026
Про продажи | Федорова Ксения @fedorova_o_pro · 33,839 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 5 September 2026
Трус Юлия про бизнес @trusprobusiness · 37,739 Telegram ranks this channel #28 of 88 here — alongside 87 others — read 31 August 2026
АНА МАВРИЧЕВА | Личный бренд @anamavricheva · 35,827 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 2 September 2026
This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Мария Довнар” (@mariyadovnar_channel), 10,319 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mariyadovnar_channel.
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.