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Channel

Заработок на ИИ

@mikhail_polishuk

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

330subscribers

+126 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003941114764
TypeChannel
Username@mikhail_polishuk
Created22 May 2026 — measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live11 October 2026
Measurements held10
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/mikhail_polishuk

Topic

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 23 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

2043302677 August 2026 — 204 subscribers8 August 2026 — 204 subscribers8 August 2026 — 205 subscribers16 August 2026 — 222 subscribers24 August 2026 — 240 subscribers1 September 2026 — 252 subscribers9 September 2026 — 277 subscribers16 September 2026 — 291 subscribers1 October 2026 — 316 subscribers11 October 2026 — 330 subscribers7 August 202611 October 2026
10 measurements spanning 65 days, net +126. 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 185–349 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 23:21330+14
1 Oct 2026, 10:39316+25
16 Sept 2026, 15:57291+14
9 Sept 2026, 14:19277+25
1 Sept 2026, 02:07252+12
24 Aug 2026, 19:57240+18
16 Aug 2026, 07:06222+17
8 Aug 2026, 12:45205+1
8 Aug 2026, 11:18204no change
7 Aug 2026, 16:18204first reading

Engagement

9 posts held, back to 22 May 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 9 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 10s
Average length
10s

Measured directly from 7 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

35 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 31.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1131.4%
❤1028.6%
🔥720.0%
🥰514.3%
👏25.71%

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 9 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 22 May 2026 to 13 July 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.

Recent posts

13 Jul 2026, 11:54 UTC173 views5 reactionsread 8 August 2026
Video

Как вырастить аккаунт с нуля Главная ошибка новичков - бесконечная подготовка. Они ждут идеального момента, лучшего оборудования или когда полностью выучат язык. Но на международном рынке решает скорость и ранний старт.

❤2👍2🔥1

12 Jun 2026, 17:17 UTC390 views5 reactionsread 8 August 2026
Video

Когда клиенты ищут вас сами! Знаете, в чем главная боль фрилансера или эксперта? Вечный поиск клиентов. Холодные рассылки, уговоры, демпинг. Это выматывает. Когда вы настраиваете машину генерации контента через ИИ и собираете десятки тысяч подписчиков на зарубежном рынке, правила игры меняются. Срабатывает триггер авторитета. Вас замечают крупные игроки, вас репостят. Вам больше не нужно бегать за клиентами — они …

👍2❤1🔥1🥰1

29 May 2026, 11:11 UTC451 views7 reactionsread 8 August 2026
Video

Для монетизации на международном рынке вам не обязательно быть экспертом с 20-летним стажем. Искусственный интеллект способен синтезировать разрозненные знания в структурированный продукт. Например, вы можете выбрать популярную нишу (здоровье, продуктивность, финансы). ИИ анализирует текущие боли аудитории и генерирует комплексное решение. Вы как продюсер проверяете логику, верстаете материал и упаковываете его дл…

❤3👍1👏1🔥1🥰1

28 May 2026, 18:58 UTC416 views4 reactionsread 8 August 2026
Video

Успешная стратегия выхода на миллионные охваты (и зарубежные рынки) выглядит так: Не 1 идеальный пост в неделю, а 5-10 простых в день. ИИ генерирует 300 сценариев за вечер. Вы тратите 1.5 часа в неделю на их реализацию. Больше контента → больше касаний с алгоритмом → больше попыток попасть в тренд. Количество бьет качество. ИИ позволяет делать это количество феноменальным.

❤1👍1🔥1🥰1

24 May 2026, 12:07 UTC404 views6 reactionsread 8 August 2026
Video

Почему вы все еще бьетесь за рубли, когда мир открыт? Самая большая ошибка экспертов и фрилансеров сегодня - пытаться выжить на перегретом локальном рынке. Конкуренция растет, чеки падают, клиенты выгорают. А теперь посмотрите за горизонт: зарубежный рынок - это сотни миллионов платежеспособных пользователей. Это чеки в валюте, которые в 3–5 раз выше ваших текущих. «Но я не знаю английский!» - скажете вы. В 2026 год…

👍2❤1👏1🔥1🥰1

23 May 2026, 10:37 UTC364 views5 reactionsread 8 August 2026
Video

ИИ-завод Сколько часов вы тратите на один идеальный пост, который в итоге собирает 100 просмотров? На высококонкурентных (но и высокодоходных) зарубежных рынках объем контента часто бьет его точечную вылизанность. AI позволяет создать настоящий контент-завод силами одного человека. С помощью связки автоматизаторов и правильных промптов можно генерировать до 900 постов или сценариев в месяц, тратя на это не более …

👍2❤1🔥1🥰1

22 May 2026, 12:11 UTC318 views3 reactionsread 8 August 2026
Video

Почему мы здесь и как ИИ меняет правила игры на зарубежном рынке Привет! Вы на канале «Заработок на ИИ». Если вы читаете это, значит, вы уже понимаете: нейросети это новая идея, мотор Вашего бизнеса. Многие до сих пор используют ИИ как дорогую игрушку: пишут шуточные стихи или генерируют аватарки. Мы же будем говорить о системном подходе. О том, как превратить нейросети в штат бесплатных сотрудников и выйти с ними…

❤1👍1🔥1

Showing the 9 most recent of 9 posts we hold for @mikhail_polishuk. 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.

Mentions

Named by 1 registered channel — 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.

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 11 October 2026 — this entry's latest reading, not the date you are reading this.

“Заработок на ИИ” (@mikhail_polishuk), 330 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/mikhail_polishuk.

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.