12 measurements spanning 28 days, net +435. 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 9,450–10,015 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Sept 2026, 13:18
9,950
+33
1 Sept 2026, 04:15
9,917
+17
29 Aug 2026, 09:54
9,900
+60
26 Aug 2026, 19:17
9,840
+209
24 Aug 2026, 05:36
9,631
+14
20 Aug 2026, 19:02
9,617
+8
18 Aug 2026, 00:42
9,609
-2
14 Aug 2026, 15:37
9,611
+3
11 Aug 2026, 08:54
9,608
+67
8 Aug 2026, 06:26
9,541
+26
7 Aug 2026, 14:31
9,515
no change
7 Aug 2026, 14:20
9,515
first reading
Engagement
44 posts held, back to 6 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.2%
avg views ÷ 9,950 subscribers
Avg views / post
1,610
22 posts measured
Reaction rate
2.60%
reactions ÷ views · ER floor
Posts in window
22
of 44 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 28 August 2026
Posts held
44 (6 July 2026 – 28 August 2026)
Views total
35,409
Reactions total
921
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:58 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 59s
Average length
4m 59s
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
2,639 reactions across 44 posts, in 31 distinct kinds. The most used accounts for 44.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,160
44.0%
❤
852
32.3%
👍
173
6.56%
❤🔥
110
4.17%
🤣
65
2.46%
🤝
51
1.93%
😁
49
1.86%
⚡
36
1.36%
💯
24
0.909%
🥰
16
0.606%
💘
13
0.493%
🤩
10
0.379%
✍
9
0.341%
😍
8
0.303%
🙏
7
0.265%
👎
6
0.227%
🤯
6
0.227%
🍓
5
0.189%
🏆
5
0.189%
🐳
5
0.189%
11 further kinds
29
1.10%
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 44 of the 44 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 2,639 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 6 July 2026 to 28 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
54
across the posts below
Posts paid on
20
of 44 we hold a reading for · 45%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marisproducer. 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 44 most recent posts we hold for this entry, published 6 July 2026 to 28 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.
Анкета на живой разбор
Как и обещал, вот анкета для тех, кто хочет попасть на живой разбор своего проекта:
👉 [ссылка на форму]
Не бойтесь заполнять я эти разборы вживую делаю первый раз, вы на них идёте первый раз.
То есть мы с вами вместе создаём новый формат, с нуля. И от того, какие проекты вы закинете, зависит, насколько мясным он получится.
Так что это не «я разбираю, вы смотрите».
Это мы вместе собираем эф…
Думаю провести вам халявные разборы и дать трендовые связки, которые сейчас работают.
Под позапрошлым постом вы накидали реакций на идею живых разборов.
Увидел, услышал, можем газануть.
Прикольно сделать новый формат, а то движа не хватает и всегда пытаюсь тестировать что-то новое, что-то неизвестное, что-то от чего потряхивает потому что там ВСЕГДА рост и в итоге всегда получаешь опыт.
И как говорит Хормози: all …
Этот дед коуч всех коучей.
На западе есть сильный эксперт по имени Taki Moore это дедушка коучинговой индустрии он уже 20 лет в инфополе.
Клиенты у него тоже крупные ребята типа Али Абдал и другие топы.
При этом сам дед снимает видео босиком на лавочке под дождём с кофейком в руке.
и...
делает $1,7 млн в месяц
без отдела продаж
без продающих звонков
без 15 разных продуктов
Вся воронка это просто нишевость + це…
что будет дальше?
Скажу честно, о чём думаю последние месяцы.
Охваты режутся у всех, реклама дорожает каждый квартал.
Аудитория чует прогревы за километр и скипает их на автомате. (конечно если уметь их делать и в целом вести блог по блогерски, то она все еще классно работает, но умеют такое единицы)
Кодовые слова, боты, лид-магниты. Всё это знает уже каждый второй, и работает оно хуже, чем год назад.
Например, ч…
«А вот на мою аудиторию автоворонки не работают…»
Слышу постоянно. От экспертов, маркетологов и даже предпринимателей, которые пришли ко мне с моей же воронки…
Отчасти это правда.
Но правда только если у вас хуевая воронка)
Сначала давай подумаем, что такое автоворонка.
Это 5 этапов: ПРИВЛЕЧЕНИЕ, ВОВЛЕЧЕНИЕ, ОБУЧЕНИЕ, ПРОДАЖА, ДОЖИМ.
И кстати, воронка это не изобретение инфобиза.
У любого офлайн-бизнеса она то…
Идиот в движение доберется дальше, чем гений застывший в размышлениях
Ты круче, чем зарабатываешь
В подкасте разобрал почему уровень компетенций почти никогда не совпадает с доходом. И что с этим делать.
Спойлер: проблема не в твоих знаниях.
С вас реакция 💪
$400 000 в месяц на автоматах с вейпами. За 234 дня. Ноль рублей на рекламу.
Звучит как бред, да? Я тоже так подумал, пока не залез разбирать
Короче, недавно попался в реках один америкосик: Micah Stanley чуваку чуть за 20.
Начинал с 500 подписчиков (по сути мусорных, где ни одного поста про оффер) и с одной простой идеи.
Он взял обычные вендинговые автоматы, типа знаешь, такие как с кофе, только вместо кофеина з…
купил вчера саундбар домой, давно я так не радовался покупке.
Как вы знаете или не знаете, я очень люблю качественную музыку, могу послушать что угодно от husky до avicii и всяких Бетховенов все его сонаты, симфонии и других композиторов.
И вот первый раз мои уши лешились девственности когда я послушал динамики мака но именно прошки (тк там типа dolby atmos), дальше я купил машину и кайфанул там от звука + у меня ш…
Showing the 12 most recent of 44 posts we hold for @marisproducer. 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.
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.
Кирилл Потапов l REELS ACADEMY @ReelsAcademyPotapovfx · 93,483 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 25 August 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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“Марис Истамов | Запуски” (@marisproducer), 9,950 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/marisproducer.
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.