Education — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 the other topics.
Growth
22 measurements spanning 92 days, net -28. 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 1,044–1,080 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
7 Nov 2026, 12:16
1,048
-2
4 Nov 2026, 18:20
1,050
-1
29 Oct 2026, 12:44
1,051
-1
26 Oct 2026, 11:00
1,052
-1
21 Oct 2026, 04:39
1,053
+3
18 Oct 2026, 10:39
1,050
+1
12 Oct 2026, 03:59
1,049
-5
5 Oct 2026, 20:19
1,054
-3
28 Sept 2026, 01:00
1,057
+3
18 Sept 2026, 05:40
1,054
-1
14 Sept 2026, 00:01
1,055
-1
10 Sept 2026, 03:59
1,056
+1
5 Sept 2026, 05:21
1,055
-3
1 Sept 2026, 15:38
1,058
+1
29 Aug 2026, 15:06
1,057
-1
27 Aug 2026, 01:23
1,058
-5
24 Aug 2026, 05:48
1,063
+1
20 Aug 2026, 13:18
1,062
-3
14 Aug 2026, 19:24
1,065
-9
11 Aug 2026, 10:24
1,074
first reading
Engagement
7 posts held, back to 18 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 7 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
1m 05s
Average length
1m 05s
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
64 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 56.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
36
56.3%
🔥
17
26.6%
👍
10
15.6%
⚡
1
1.56%
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 7 of the 7 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 18 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.
За минуту рассказываю методику, по которой мы делаем проекты в агентстве
Именно по такому формату мы будем на интенсиве делать кейс, получать обратку от меня и куратора🫡
Те, кто у меня учился, знают, что я в своих продуктах рассказываю вообще всю внутрянку, открыто: будь то курсы по продажам или дизайну
Принять участие тут
5 причин, почему дизайнеру сегодня нужно освоить коммерческий дизайн
❤️Чтобы не остаться без клиентов
Рынок сейчас переживает непростое время. Бизнес стал гораздо осторожнее тратить деньги, поэтому выбирать дизайнеров начали совсем по другим критериям, то есть уже недостаточно просто сделать красивый сайт. Клиент хочет понимать, как этот сайт поможет привлечь заявки, повысит доверие и увеличит продажи.
Поэтому дизай…
Кризис и нейросети полностью изменили рынок веб-дизайна.
…а еще несколько лет назад было достаточно сделать красивый сайт, разбираться в базе дизайна, и вы уже востребованы.
Почему?
Во-первых, потому что бизнес стал гораздо осторожнее тратить деньги. Когда экономика становится сложнее, цена каждой ошибки растет, и компания уже не может позволить себе вложить деньги в сайт, который просто красиво выглядит, но не пр…
Два года назад я полностью поменяла свою жизнь и уехала жить в маленькую горную деревню на Кавказ
Все мои ориентиры в жизни рухнули к 29 годам и я начала заново себя собирать по кусочкам, искать новые ценности, смысл жизни и новые опоры
Было очень тяжело, я жила какое то время с ощущением пустоты внутри меня, из-за того, что все разрушилось. И так я начала заполнять ее понемногу.
Итак, что я поменяла:
— вынесла н…
Если вы проводите аналитику только через нейронки, то вы получаете шаблонный результат
Как обычно это происходит: дизайнер задает нейронке: проанализируй нишу, сделай анализ конкурентов
Проблема в том, что чат гпт это не аналитик, это инструмент обработки информации. Он не изучает рынок за вас и не понимает контекст бизнеса так, как это делает человек.
За последние несколько лет рынок изменился кардинально. Изменил…
Showing the 7 most recent of 7 posts we hold for @margaritademsh. 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.
Tilda Publishing News @tildanews · 32,597 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 4 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Margarita Demshina | Продажи 🦈” (@margaritademsh), 1,048 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/margaritademsh.
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.