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Channel

Кибер-Миша | ИИ для бизнеса

@cyber_misha

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

25,841subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002035987146
TypeChannel
Username@cyber_misha
DescriptionЧестный взгляд на внедрение ИИ в бизнесе и в жизни. Мои клиенты уже сделали это: 500+ компаний, 11+ тыс учеников Бесплатный мини-курс по ИИ https://go.cyber-misha.ru/HphoaJn AI_разработка, корпоративное обучение напишите мне: @ai_petukhov
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/cyber_misha

Topic

Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

25,79925,88525,8427 August 2026 — 25,843 subscribers7 August 2026 — 25,843 subscribers8 August 2026 — 25,853 subscribers9 August 2026 — 25,854 subscribers9 August 2026 — 25,858 subscribers11 August 2026 — 25,863 subscribers11 August 2026 — 25,867 subscribers12 August 2026 — 25,874 subscribers14 August 2026 — 25,877 subscribers15 August 2026 — 25,885 subscribers17 August 2026 — 25,884 subscribers18 August 2026 — 25,879 subscribers19 August 2026 — 25,874 subscribers20 August 2026 — 25,866 subscribers21 August 2026 — 25,858 subscribers22 August 2026 — 25,859 subscribers24 August 2026 — 25,860 subscribers25 August 2026 — 25,849 subscribers26 August 2026 — 25,850 subscribers27 August 2026 — 25,842 subscribers28 August 2026 — 25,840 subscribers29 August 2026 — 25,832 subscribers30 August 2026 — 25,837 subscribers31 August 2026 — 25,853 subscribers1 September 2026 — 25,834 subscribers2 September 2026 — 25,840 subscribers5 September 2026 — 25,837 subscribers8 September 2026 — 25,826 subscribers11 September 2026 — 25,836 subscribers13 September 2026 — 25,815 subscribers15 September 2026 — 25,799 subscribers19 September 2026 — 25,829 subscribers26 September 2026 — 25,841 subscribers25,8417 August 202626 September 2026
33 measurements spanning 50 days, net -2. 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 25,786–25,898 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 16:1825,841+12
19 Sept 2026, 16:5625,829+30
15 Sept 2026, 05:1825,799-16
13 Sept 2026, 11:1625,815-21
11 Sept 2026, 13:4025,836+10
8 Sept 2026, 18:3925,826-11
5 Sept 2026, 12:1925,837-3
2 Sept 2026, 05:3725,840+6
1 Sept 2026, 04:1825,834-19
31 Aug 2026, 02:4625,853+16
30 Aug 2026, 05:3825,837+5
29 Aug 2026, 03:3925,832-8
28 Aug 2026, 03:5425,840-2
27 Aug 2026, 02:1325,842-8
26 Aug 2026, 03:2725,850+1
25 Aug 2026, 05:1425,849-11
24 Aug 2026, 00:3625,860+1
22 Aug 2026, 11:5925,859+1
21 Aug 2026, 04:0325,858-8
20 Aug 2026, 06:0425,866first reading

Engagement

81 posts held, back to 23 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.37%
avg views ÷ 25,841 subscribers
Avg views / post
1,650
28 posts measured
Reaction rate
3.19%
reactions ÷ views · ER floor
Posts in window
28
of 81 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
WindowRolling 30 days · latest post in window 28 September 2026
Posts held81 (23 July 2026 – 28 September 2026)
Views total46,125
Reactions total1,472
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 03:28 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
773
Videos
181
Links
809

Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
4m 51s
Average length
1m 13s

Measured directly from 4 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

3,263 reactions across 81 posts, in 11 distinct kinds. The most used accounts for 42.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,37642.2%
👍91127.9%
❤80124.5%
🦄481.47%
🐳401.23%
🤔290.889%
🤯270.827%
👀180.552%
🌭50.153%
custom 527419570606678181040.123%
🫡40.123%

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 81 of the 81 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 3,263 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 23 July 2026 to 28 September 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
1,049
across the posts below
Posts paid on
9
of 81 we hold a reading for · 11%
Most on one post
1,000
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cyber_misha. 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 81 most recent posts we hold for this entry, published 23 July 2026 to 28 September 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

28 Sept 2026, 15:11 UTC604 views41 reactionsread 29 September 2026
File

В ПОНЕДЕЛЬНИК ХОЧЕТСЯ, ЧТОБЫ КТО-ТО ПОРАБОТАЛ ЗА ТЕБЯ) Всем кибер-добра, товарищи ❗️ Принёс вам заряд к действию на эту неделю. Под постом про ИИ-исполнителей вы собрали сотню 🔥, а я обещал большую методичку. Готово, файл во вложении, забирайте. «Агент 2.0. Перелом» — 20 страниц про то, чему нам теперь учиться, когда машине уже можно поручать работу целиком. Потому что агент может несколько часов разбирать докуме…

🔥20👍11❤10

26 Sept 2026, 14:58 UTC≈1,050 views66 reactionsread 29 September 2026
Photo

СУББОТНИЕ НОВОСТИ, ДО КОТОРЫХ Я НАКОНЕЦ ДОБРАЛСЯ) Всем кибер-добра, товарищи ❗ Почти каждый день выступаю, поэтому говорить про ИИ успеваю, а писать в канал уже нет. Собрал, что произошло за неделю: • Вышли GPT-6 Sol и Luna. ChatGPT после появления агента Work на компьютере для меня стал просто чудо-помощником. Теперь обновились и модели: по данным OpenAI, лучше справляются с рабочими задачами и управлением компью…

👍26🔥24❤9🦄3🌭2🤯2

23 Sept 2026, 09:52 UTC≈1,560 views55 reactionsread 29 September 2026
Video message

Video message, posted without a caption

🔥24👍16❤12🤔2👀1

22 Sept 2026, 17:40 UTC≈1,820 views145 reactionsread 29 September 2026
Photo

Вышел Claude Opus 5.5. И нам надо поговорить. В феврале McKinsey выпустила The State of Organizations 2026. Больше 10 тысяч руководителей. Только опрашивали их с июня по сентябрь 2025-го. Тогда 53% ожидали, что ближайшие год-два ИИ будет преимущественно помогать сотрудникам. Лишь четверть ожидала самостоятельных агентов – участников команды. На обложке – 2026. В ответах – ожидания 2025-го. А мы по ним обсуждаем, ч…

🔥118❤16🐳9🦄2

22 Sept 2026, 10:38 UTC≈1,590 views37 reactions3 Starsread 29 September 2026
Photo

Всем кибер добра, я пока все еще на выступлениях и поэтому с постами беда) но сегодня хочу выпустить материал про развитие ии и недалекое будущее (об этом много говорю, пора и зафиксировать)

🔥15❤13👍9

19 Sept 2026, 13:32 UTC≈2,000 views40 reactionsread 29 September 2026
Photo

WORKSLOP ПРЕВРАЩАЕТ ВАШУ РАБОТУ В МУСОР Открываешь документ - выглядит прилично. Начинаешь проверять, а внутри выдуманные источники, неверные цифры и выводы, которые не имеют отношения к задаче. Человек просто получил ответ от ИИ, скопировал его и отправил дальше. Сам сэкономил время, а проверять и переделывать теперь придётся кому-то другому. У такого явления уже есть название - workslop. В новом видео разбираю …

🔥19❤11👍9🦄1

18 Sept 2026, 18:07 UTC≈2,250 views53 reactionsread 29 September 2026
Video

Сегодня хедлайнил на конференции про ИИ, где за прекрасное будущее пришлось отвечать цифрами 😅 На конференции «Правовест Аудит» в Кибердоме собралось много сильных спикеров с кейсами внедрения, поэтому поговорили и про заработанные деньги, и про ошибки, за которые бизнесу приходится платить. Получилось круто, спасибо всем, кто был с нами 🤟 В видео кусочек моего выступления, где объясняю, почему для обычной обработк…

🔥24👍16❤13

16 Sept 2026, 16:30 UTC≈1,750 views47 reactionsread 29 September 2026

Posted without readable text

🔥20👍13❤11🐳1👀1🦄1

16 Sept 2026, 09:32 UTC≈1,590 views41 reactions1 Starread 29 September 2026

Posted without readable text

🔥19🤯10🦄9🤔2❤1

15 Sept 2026, 11:35 UTC≈1,670 views40 reactionsread 29 September 2026
Video

ВСЕ НЕЙРОСЕТИ ВЫ НЕ ОСВОИТЕ. ДА ЭТО И НЕ НУЖНО Каждую неделю выходит новая модель, агент или сервис. Если пытаться изучить их все, обучение закончится примерно через никогда. Поэтому начинать нужно не с нейросети, а со своей задачи. Позвали меня недавно на шоу «Что делать? - 2» и задали вопрос, который регулярно прилетает в комментариях: «Что делать, если я хочу научиться правильно использовать нейросети?» 👀 Обс…

👍16🔥13❤9🦄2

14 Sept 2026, 17:20 UTC≈1,760 views55 reactionsread 29 September 2026
Photo

Нейросети изменились НАВСЕГДА Снял видео в котором собрал главные новости ИИ за лето в один 27-минутный выпуск. Внутри 4 больших блока: • какие модели стали полезнее, а какие просто сожрали больше лимитов; • как OpenClaw и ChatGPT Work получили доступ к компьютеру; • почему я собираюсь всерьёз заниматься роботами; • что происходит с Suno, законами об ИИ и покупкой Cursor компанией SpaceX. Добавил личный опыт, …

👍31❤13🔥11

Showing the 12 most recent of 81 posts we hold for @cyber_misha. 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.

Posts edited after publishing

@cyber_misha edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 August 2026
Most recent edit
21 August 2026

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 7 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.

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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Кибер-Миша | ИИ для бизнеса” (@cyber_misha), 25,841 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/cyber_misha.

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.