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 49% 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
24 measurements spanning 92 days, net +651. 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 8,914–9,785 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
7 Nov 2026, 12:26
9,684
+9
4 Nov 2026, 17:41
9,675
+11
2 Nov 2026, 02:48
9,664
+44
29 Oct 2026, 17:17
9,620
+11
27 Oct 2026, 00:16
9,609
+58
23 Oct 2026, 16:31
9,551
+42
21 Oct 2026, 02:00
9,509
+10
18 Oct 2026, 03:37
9,499
+7
15 Oct 2026, 13:41
9,492
+3
12 Oct 2026, 04:37
9,489
+99
5 Oct 2026, 20:20
9,390
+237
28 Sept 2026, 16:38
9,153
+139
12 Sept 2026, 01:21
9,014
-44
7 Sept 2026, 06:16
9,058
-16
2 Sept 2026, 09:48
9,074
-16
30 Aug 2026, 12:44
9,090
-14
27 Aug 2026, 02:15
9,104
+19
23 Aug 2026, 19:55
9,085
+2
20 Aug 2026, 10:46
9,083
-15
17 Aug 2026, 12:05
9,098
first reading
Engagement
63 posts held, back to 20 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 40 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.8%
avg views ÷ 9,684 subscribers
Avg views / post
2,020
17 posts measured
Reaction rate
3.39%
reactions ÷ views · ER floor
Posts in window
17
of 63 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 6 November 2026
Posts held
63 (20 July 2026 – 6 November 2026)
Views total
34,265
Reactions total
1,160
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:56 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
4m 27s
Average length
30s
Measured directly from 9 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
4,972 reactions across 62 posts, in 13 distinct kinds. The most used accounts for 38.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,917
38.6%
👍
1,058
21.3%
custom 5240320809376952349
1,044
21.0%
🤣
315
6.34%
😁
231
4.65%
🥰
202
4.06%
🤯
57
1.15%
😢
46
0.925%
😱
38
0.764%
💩
27
0.543%
🤔
20
0.402%
🤡
10
0.201%
👎
7
0.141%
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 62 of the 63 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 4,972 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 20 July 2026 to 6 November 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
98
across the posts below
Posts paid on
22
of 63 we hold a reading for · 35%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @stashkevichyan. 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 63 most recent posts we hold for this entry, published 20 July 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 17 posts held from the last 30 days (11.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Один ролик, который нам вчера сняли по бартеру, продал 204кг колечек.
В то время, когда все хотят работать с большими блогерами, мы делаем ставку на много маленьких. На больших у нас денег нет
Самое важное, это самому написать сценарий, и хорошо подобрать тех, кто нормально по нему отснимет!
Кстати, наша сущность заранее оценила потенциал как очень высокий, что нас, конечно, не может не радовать!
Как микроблогеры делают наши колечки большой компанией.
Как я уже не раз говорил, это инструмент на котором у нас сейчас основной фокус.
Он легко масштабируемый, предсказуемый, с простой точкой входа.
Самая сложная задача - это побирать грамотных микроблогеров для сотрудничества. И уже месяц система анализа аккаунтов детище Ильи под названием «Сущность» работает и совершенствуется.
Она оценивает много параметров,…
Форматы работы со мной и моей командой:
📍Личная консультация по контент-маркетингу
Разберем вашу задачу, и составим максимально простой путь ее достижения.
Чем именно могу быть полезен:
• Какой контент снимать, чтобы это приносило охваты и продажи
• Как собрать команду и автоматизировать процесс создания контента
• Как построить эффективный контент-завод для вашего бизнеса
• Как создавать инфоповоды, которые виру…
Мы придумали новую маркетинговую аббревиатуру!
RPP — Reach Per Prodazha
Она как раз и означает сколько охвата нам нужно получить для одной продажи.
Вот у нас РПП - 120 сейчас. Это значит что покупая рекламу у какого-то блогера, со средними охватами 5000, я заранее знаю что это нам продаст ~ 41 пачку.
Может быть никто эти показатели кроме нас не считал, потому что названия не было?
Скоро все будут знать какой у н…
Вам кажется что это просто график, но ЗА ЭТО НАМ ДАДУТ НОБЕЛЕВСКУЮ СКОРО!!!
Объясняю:
Это график где видна корреляция охватов и проданных пачек. И вы видите как все четенько?
Август: 106 охвата = 1 пачка
Сентябрь: 101 охвата = 1 пачка
Октябрь: 123 охвата = 1 пачка
Сейчас на ноябрь у нас задача сделать как нимимум х2 по охватам, и посмотреть сохраниться ли такая же корреляция. (Я думаю что станет чуть хуже, но не …
Фото голой жопы однажды спасло бизнес Олега Тинькова.
А еще он подделал страницу в энциклопедии, чтобы ввести а заблуждение чиновников. И все это было тоже его гениальной рекламной кампанией.
В новом выпуске на ютубе я разобрал историю одного из самых ярких и эпатажный предпринимателей России.
https://youtu.be/H75OUbD3r2U
https://youtu.be/H75OUbD3r2U
https://youtu.be/H75OUbD3r2U
Уже пишут что все скупят, хотя не пробовали наше мороженное и даже не знают как оно будет выглядеть.
Видите как нас поддерживают в тик-токе?
А вы тут даже реакции на посты особо не ставите, только смеётесь что мы делаем кукурузные колечки и называем это серьезным бизнесом.
Решили запустить конкурсную механику, которая должна приносить нам еще больше охвата, а следовательно и продаж.
Каждый день 2-5 человек снимают ролики с нашими хлопьями. Сами, их никак об этом не просим.
Нас это конечно очень радует, ведь все эти ролики для нас — бесплатная реклама.
Но как же разогнать это дело до 20-50 роликов в день?
Специально для этого решили запустить конкурс, который будет работать всегда.
…
Как многолетний опыт инфобизнеса помогает нам в текущих проектах?
Мы с партнером привыкли продавать продукты, которых еще нету. Те же Конференции, где ты в начале формируешь спрос, продаешь обещания, и только потом делаешь сам продукт.
И весь этот бекграунд мы переносим сейчас на наши бренды. Мороженного все еще нету, но уже 15.000 человек его ждут!
И в этой нише так не делает практически никто! Все приступают к м…
Теперь у нас есть армянская фан-страничка!! 😀
Это дело рук дистрибьютера, который купил у нас пару сотен пачек для армянского рынка.
Сейчас будет тестить спрос, и если их будут хорошо брать, то будет заказывать постоянно.
Надеюсь что него быстро все скупят!!
Тогда нам придется под этот рынок выпускать отдельный продукт:
Делаем колечки 2х цветов, в пачку кладем игральные кости, а на обороте пачки печатаем поле дл…
Вчера прошло мероприятие, на котором я делился опытом в продвижении наших продуктов.
Выдал прям все инструменты, из-за которых наши хлопья и мороженное так сильно вирусятся еще до своего выхода на рынок.
Зал был небольшой, всего 40 мест, а заявок мы получили под 200. Поэтому приглашали только фаундеров FMCG компаний, или тех у кого она на этапе запуска.
Как по мне оч круто вышло, каждый подошел и сказал что супер …
После ролика с историей Медиафутбола мне написал их Ком. Директор
Походу будем судиться…
Ну а если серьезно, за последние пару дней очень много интересных событий произошло с ютубом моим.
Во-первых вчера я познакомился с Вилсакомом, и мы договорились сделать ролик с его биографией.
Во-вторых мне вот сейчас пишет ФК АМКАЛ с предложением сделать такой же ролик про них.
И для меня это показатель того что все же оче…
🔥71👍27custom 524032080937695234918🤣1🤯1🥰1
Showing the 12 most recent of 63 posts we hold for @stashkevichyan. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 5 registered channels — 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.
Артем Кей @artemmkey · 31,031 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 6 September 2026
Егор Пыриков @egorpyrikov · 42,874 Telegram ranks this channel #30 of 80 here — alongside 79 others — read 28 August 2026
Пётр Осипов | записки о развитии @petrosipovprivate · 48,061 Telegram ranks this channel #45 of 84 here — alongside 83 others — read 26 August 2026
Мари про запуски @mari_zapuski · 74,294 Telegram ranks this channel #48 of 82 here — alongside 81 others — read 19 August 2026
kurchanov_prod @kurchanov_prod · 1 Telegram ranks this channel #66 of 83 here — alongside 82 others — read 8 September 2026
Слава КРАСАВА @smmmarketolog · 19,009 Telegram ranks this channel #69 of 89 here — alongside 88 others — read 1 October 2026
Аяз @AyazShabutdinov · 177,806 Telegram ranks this channel #74 of 89 here — alongside 88 others — read 12 August 2026
Павел Гительман @potok_gitelman · 38,660 Telegram ranks this channel #79 of 91 here — alongside 90 others — read 1 September 2026
This channel appears in 8 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ян Сташкевич” (@stashkevichyan), 9,684 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/stashkevichyan.
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.