11 measurements spanning 11 days, net -61. 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 36,973–37,066 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 20:56
36,994
+10
16 Aug 2026, 18:55
36,984
-9
15 Aug 2026, 03:56
36,993
+5
13 Aug 2026, 17:59
36,988
-14
12 Aug 2026, 17:24
37,002
-13
11 Aug 2026, 19:02
37,015
-7
10 Aug 2026, 16:53
37,022
-16
9 Aug 2026, 19:03
37,038
-12
8 Aug 2026, 17:36
37,050
-5
6 Aug 2026, 23:15
37,055
no change
6 Aug 2026, 23:06
37,055
first reading
Engagement
41 posts held, back to 27 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 26 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.36%
avg views ÷ 36,994 subscribers
Avg views / post
1,610
41 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
41
of 41 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. It is computed over the 40 of 41 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 August 2026
Posts held
41 (27 July 2026 – 17 August 2026)
Views total
66,176
Reactions total
899
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Aug 2026, 00:30 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
Photos
≈1,440
Videos
≈581
Links
≈1,050
Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 09s
Average length
23s
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
899 reactions across 40 posts, in 12 distinct kinds. The most used accounts for 35.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
320
35.6%
🔥
298
33.1%
👍
186
20.7%
🎉
47
5.23%
👏
18
2.00%
😁
9
1.00%
🙈
9
1.00%
custom 5379842834872413877
5
0.556%
😍
2
0.222%
🤔
2
0.222%
🤩
2
0.222%
😢
1
0.111%
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 isTelegram’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 40 of the 41 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 899reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 27 July 2026 to 17 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
6
across the posts below
Posts paid on
5
of 41 we hold a reading for · 12%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alexander_visotsky. 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 41 most recent posts we hold for this entry, published 27 July 2026 to 17 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.
Как четыре сотрудника сэкономили нам 2 564 часа и $17 948 за год.
Сотрудник устаёт, отвлекается, забывает, болеет. И каждая ручная операция — это шанс на ошибку, за которую платить приходится владельцу.
Мы попросили сотрудников создать личных AI-ассистентов для автоматизации задач, которые отнимают больше всего времени. Без отдела разработки и без единой строчки кода.
Такого эффекта не ожидал никто.
Что из этого …
Делаю это впервые.
Открываю набор в AI Booster у себя в блоге.
Опыт Business Booster + эксперты + ваши сотрудники = работающие AI-решения в вашем бизнесе.
Вам не нужно ничего изучать, никого контролировать и становиться IT-специалистом. Вы ставите цель на старте и смотрите на результат. Хотите участвовать лично — можно. Не хотите — всё будет сделано без вас.
Первую группу мы набрали закрыто. Я хотел сначала убеди…
Мы слили $80 000 на AI и закрыли проект. Скептики были правы.
В 2023 году мы потратили около $80 000 на AI-автоматизацию — и в итоге закрыли проект.
Мы довольно рано поняли, куда всё идёт, и наняли сильного технического специалиста из Кремниевой долины.
Задача: создать систему, которая анализирует звонки отдела продаж.
Сегодня это звучит почти банально. Тогда это было не так просто сделать.
Модели плохо распозна…
Ребят, нужен ваш совет.
Для стратегического партнёра в Узбекистане переводим часть программ на узбекский с помощью ИИ.
Если вы следите за мной, то знаете, что мы уже несколько лет делаем озвучку с ИИ и даже целые видео с моим ИИ-аватаром для нашего филиала в Тайване, где вся работа с клиентами идет на китайском языке.
Вот теперь делаем на узбекском. Помогите выбрать, какой вариант озвучки вам больше нравится: зака…
Подкаст с Данилом Матухно — уже на канале.
Маркетолог, который сделал 1,2 миллиона долларов продаж с одного зала на 200 человек. Прошлой осенью несколько месяцев помогал нам с запуском Business Booster — это был наш рекордный запуск: лайфтайм клиента вышел примерно вдвое выше, чем на всём, что мы делали до этого.
Разобрали, как за 20 долларов в месяц получить в телефоне персонального маркетолога. Какая привычка с н…
Морковкин обзавёлся суперудобным креслом и теперь поездки ему нравятся гораздо больше.
Но пока что в одиночестве кататься на заднем сиденье не хочет, капризничает.
Молодому поколению предпринимателей я по-хорошему завидую
В Варшаве встречался с Данилом Матухно. Писали подкаст — мне удалось его разговорить и получить ответы на вопросы, которые меня давно интересуют.
Это вопросы о том, почему очень часто владельцам бизнеса не удаётся нанять хороших маркетологов и наладить маркетинг. Некоторые бьются об это годами, как о нерешаемую задачу. Почему именно Данил?
Потому что Данил …
В нашей культуре люди изначально не доверяют друг другу — таков менталитет. Поэтому продавать «вхолодную» у нас — это практически дохлый номер.
Приходит новый клиент, и каждый раз начинается с нуля: доказываете, кто вы, почему не обманете и почему ваши услуги стоят своих денег. Это не продажи, а изматывающий бой.
Но есть предприниматели, к которым люди приходят уже готовыми. Они могут молча следить за компанией мес…
Мой LinkedIn лежал мёртвым. За 90 дней его прочитали 26 000 незнакомых людей, а я не потратил на это ни одного дополнительного часа
Профиль у меня был давно, но занимались им по остаточному принципу. Посты собирали по 3-4 лайка.
Как было:
🔴 2 800 подписчиков, посты по три-четыре лайка, 68 показов в день на весь аккаунт. Дальше моих же контактов ничего не уходило.
🔴 Системной работы не было. Задачи под эту площадк…
Верёвка сама по себе — просто провод. Особенность была не в ней, а в том, что происходило сразу после рывка.
У бригадира было несколько секунд, чтобы подойти и разобраться. Не успел — линия останавливалась сама, прямо в этой точке, и это видел весь цех. Брак исправляли на месте, за минуты — а не после того, как с тем же дефектом успевали собрать ещё десяток машин.
Жалоба в профсоюз работала иначе: превращалась в бу…
🔥13👍9❤8
Showing the 12 most recent of 41 posts we hold for @alexander_visotsky. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Маргулан Сейсембай @MargulanSeissembai · 211,394 Telegram ranks this channel #45 of 96 here — alongside 95 others — read 11 August 2026
Бизнес Подкасты @business_podcast · 172,698 Telegram ranks this channel #74 of 76 here — alongside 75 others — read 12 August 2026
This channel appears in 2 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“Александр Высоцкий” (@alexander_visotsky), 36,994 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/alexander_visotsky.
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.