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Channel

AI Эксперт: бизнес, агенты, доход

@ii_ekspert

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

43,892subscribers

-1,161 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001857700465
TypeChannel
Username@ii_ekspert
DescriptionНомер заявления о регистрации в реестре РКН: 5075771027
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ii_ekspert

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@neural_for_business/285715 Sept 2026, 15:01 UTC@ii_ekspert/2491 · this entry15 Sept 2026, 15:22 UTC1.0021 minutes
@neural_for_business/287223 Sept 2026, 17:20 UTC@ii_ekspert/2507 · this entry23 Sept 2026, 17:40 UTC1.0020 minutes
@neural_for_business/28822 Oct 2026, 10:06 UTC@ii_ekspert/2517 · this entry2 Oct 2026, 10:28 UTC1.0021 minutes
@ii_ekspert/2518 · this entry3 Oct 2026, 12:35 UTC@neural_for_business/28833 Oct 2026, 12:56 UTC1.0020 minutes
@neural_for_business/291017 Oct 2026, 13:26 UTC@ii_ekspert/2545 · this entry17 Oct 2026, 13:32 UTC1.006 minutes
@ii_ekspert/2567 · this entry29 Oct 2026, 06:23 UTC@neural_for_business/293129 Oct 2026, 06:33 UTC1.0011 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@neural_for_business96 (8/8 hand-verifiable sample passed)1.0011 minutesthis entry (52–44)
@neuralforbusiness87 (8/8 hand-verifiable sample passed)1.0011 minutes@neuralforbusiness (46–41)
@ledovskih_lab57 (8/8 hand-verifiable sample passed)1.0011 minutes@ledovskih_lab (29–28)
@ledovskih_ai51 (8/8 hand-verifiable sample passed)1.0011 minutes@ledovskih_ai (28–23)
@concentrat_new46 (8/8 hand-verifiable sample passed)1.0012 minuteseven
@uvol_menya11 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (8–3)
@ii_busines11 (8/8 hand-verifiable sample passed)1.0011 minutes@ii_busines (7–4)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 140 of the 180 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 120 comparable posts for this entry, running 27 July 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 8 channels, the one whose matching posts we hold earliest is @ledovskih_lab. That is a statement about our reading window, not a claim of authorship.

Views per post sit far below this size band

141 average views per post against 43,977 subscribers — an engagement rate of 0.321%. Across the 8,315 registered channels in the same cohort — 31,623–99,997 subscribers, posting mainly in Russian — the middle half sit between 5.08% and 20.8%, with a median of 10.5%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured42 of 42 published in the window (42 exact, 0 rounded by Telegram)
Views totalled5,934
Mature posts only0.33% over 40 posts read at least 24h after publication
Subscribers43,977 measured 5 November 2026
Cohortb31623:rus · 8,315 channels · p10 2.60% · p25 5.08% · p50 10.5% · p75 20.8% · p90 35.5%
Position in cohort0.806th percentile · 1/32 the cohort median
Uncertainty±0% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_mutual · clone_source · err_low, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

43,89245,05344,472.57 August 202611 November 2026
64 measurements spanning 96 days, net -1,161. 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 43,718–45,227 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 09:4943,892-25
9 Nov 2026, 17:1043,917-22
8 Nov 2026, 07:4943,939-9
7 Nov 2026, 00:5943,948-13
6 Nov 2026, 00:2143,961-16
5 Nov 2026, 01:5943,977-13
4 Nov 2026, 04:5743,990-9
3 Nov 2026, 07:4643,999-9
2 Nov 2026, 04:5844,008-13
1 Nov 2026, 04:4144,021-14
31 Oct 2026, 05:1044,035-11
30 Oct 2026, 03:0744,046-16
29 Oct 2026, 01:3244,062-25
27 Oct 2026, 22:2744,087-10
26 Oct 2026, 22:2744,097+2
26 Oct 2026, 01:4944,095-10
25 Oct 2026, 04:1844,105-12
24 Oct 2026, 06:4144,117-6
23 Oct 2026, 04:3644,123-3
22 Oct 2026, 07:5544,126first reading

Engagement

153 posts held, back to 27 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 193 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.31%
avg views ÷ 43,892 subscribers
Avg views / post
136
49 posts measured
Reaction rate
2.31%
reactions ÷ views · ER floor
Posts in window
49
of 153 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 11 of 49 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held153 (27 July 2026 – 12 November 2026)
Views total6,659
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 17:42 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
90
Videos
17
Links
89

Lifetime counters from Telegram’s own channel header, read 12 November 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
15m 32s
Average length
58s

Measured directly from 16 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

227 reactions across 56 posts, in 17 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6830.0%
👍4118.1%
❤2812.3%
❤‍🔥198.37%
🙏146.17%
⚡135.73%
💯104.41%
👏73.08%
🎉62.64%
😢62.64%
🤔52.20%
🤣31.32%
🍾20.881%
🤬20.881%
😍10.441%
🤩10.441%
🤯10.441%

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 56 of the 153 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 227 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 27 July 2026 to 12 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.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 49 posts held from the last 30 days (8.16%) 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).

12 Nov 2026, 17:00 UTC14 viewsread 12 November 2026

Пятница, 13‑е. Сеанс в 11:00. Билет — 0 ₽ 🎬 🎬 «Вайбкодинг от А до Я» Премьера: пятница, 13 ноября, 11:00 Жанр: ужасы для тех, кто до сих пор всё делает руками В ролях: ты, нейросеть и приложение, которое появится прямо на экране Режиссёр: я Возрастное ограничение: нет Билет: 0 ₽ Взять билет на сеанс Скоро на экранах: 🍿 «AI‑агенты от А до Я» Суббота, 14 ноября, 11:00 Жанр: триллер. Агент забирает у тебя рутину, и т…

12 Nov 2026, 12:00 UTC38 viewsread 12 November 2026
Video

Думал, будут хвалить. А они рассказали, как всё было 👀 Попросил учеников рассказать, с чего они начинали. Думал, будут хвалить 🙂 Получилось интереснее. Разные люди, разные задачи, разные истории. Но начало у всех как под копирку: обычный чат с ChatGPT. «Напиши текст», «придумай идею». Дальше пути разошлись. У кого-то теперь свои AI‑агенты, у кого-то целый бизнес-проект на AI. Три минуты, несколько историй, и в кон…

12 Nov 2026, 08:00 UTC46 viewsread 12 November 2026
Photo

Сегодня кто-то заберёт iPad. Объявление уже висит 📌 👀 Найден iPad. Ищет хозяина Новый. В коробке. Ни разу не включали. Приметы хозяина: зарегистрирован на Чёрную пятнИИцу. Больше никаких требований. Где вернут: сегодня, в канале мероприятия. Вознаграждение: не нужно, это мы вам. ➡️ Откликнуться на объявление Прошлые находки уже вернули владельцам: грант на обучение, «Золотое Яблоко», два приза по 5 000 ₽, полгода…

11 Nov 2026, 16:15 UTC77 viewsread 12 November 2026
Photo

«Полный гайд» обещать легко. Вот что внутри 👀 Сегодня в канале ЧП открыл полный гайд по автомонтажу через Claude. За красивыми словами не видно, что там на самом деле, поэтому сделал скрины — оцените сами. Внутри больше, но главное: он написан для тех, кто терминал в глаза не видел. 🔹 Агент просит подтвердить команду? Так и должно быть, он ничего не ставит за твоей спиной. 🔹 Вылезло «Python не найден»? В 90% случа…

11 Nov 2026, 08:15 UTC101 viewsread 12 November 2026
Photo

🤖 Claude · 07:02 Ролик смонтирован ✅ Субтитры, плашки и музыка на месте. Можно публиковать 🎬 Ты · 09:30 …а кофе он тоже сварит? ☕️ Кофе пока нет. А вот монтаж уже можно отдать нейросети, и сегодня я покажу как. Забирай, пока доступно. Сегодня до 23:59: 🎬 Автомонтаж через Claude Пошаговая инструкция от установки движка до готового ролика с субтитрами, плашками и музыкой. → Результат: часть монтажа делает нейросеть,…

10 Nov 2026, 15:45 UTC137 viewsread 12 November 2026

📦 Ваш заказ ждёт в пункте выдачи. Срок хранения до 23:59 ПУНКТ ВЫДАЧИ «ЧЁРНАЯ ПЯТНИИЦА» Заказ № 1011 · День AI-агентов ------------------------------ Состав заказа: • 345 скиллов для AI-агентов • 25 золотых правил • 10 фишек Димы • Участие в розыгрыше: полгода подписки на нейросеть ------------------------------ К оплате: 0 ₽ Хранение: до 23:59 сегодня 👉 ПОЛУЧИТЬ ЗАКАЗ Посылка собрана и ждёт. Забрать можно в оди…

10 Nov 2026, 08:06 UTC135 viewsread 12 November 2026

Своя AI-фирма с мужем за несколько месяцев. «Я бы в это не поверила», — Ольга в кружке 👆 Я уже как-то рассказывал вам про Ольгу Пименову. Но одно дело, когда пересказываю я, и совсем другое — услышать из первых уст. Так что вот её кружок 👆 А для тех, кто не в курсе. Ещё недавно Ольга пользовалась нейросетями как многие: писала тексты и генерила картинки. А потом освоила вайбкодинг и увидела, на что они способны на …

9 Nov 2026, 16:15 UTC138 viewsread 12 November 2026
Photo

Один промпт, и у тебя готов сайт с каталогом услуг На скрине кусок первой фишки, которую я сегодня выложил в закрытом канале Чёрной пятнИИцы. Там видео, где я собираю сайт AI-специалиста, и сам промпт целиком. Копируешь его в Claude или Codex и получаешь страницу с карточками услуг, фильтрами и блоком для связи. И это только первая фишка. Пока ждём эфиров, в канале будет: ⚡️ новые фишки и промпты от меня 🎁 подарки…

9 Nov 2026, 07:10 UTC131 viewsread 12 November 2026

ЧЁРНАЯ ПЯТНИИЦА · ЧЕК №1 ------------------------------ 100 AI-инструментов ...... 0 ₽ 30 готовых AI-агентов .... 0 ₽ Инструкция по Codex ...... 0 ₽ Подарок дня (до 23:59) ... 0 ₽ 3 практикума 13–15.11 .... 0 ₽ Участие в розыгрышах ..... 0 ₽ ------------------------------ ИТОГО К ОПЛАТЕ ........... 0 ₽ 👉 Оформить заказ за 0 ₽ Обычно в ноябре корзина набивается вещами, которые тебе не нужны. Здесь всё наоборот: т…

8 Nov 2026, 17:12 UTC136 viewsread 12 November 2026
Photo

«а если это ты?» Завтра кто-то получит обучение бесплатно. Почему бы не ты? Днём открыли регистрацию на Чёрную пятнИИцу, а к вечеру нас уже больше 1 000 🥳 Значит, первый приз разблокирован: полный грант на обучение на одном из наших продуктов. Завтра разыграем его среди зарегистрированных. Если ты ещё не внутри, самое время: регистрация займёт минуту, и ты в списке. Следующая цель — 2 000 участников, там сертифик…

8 Nov 2026, 09:41 UTC135 viewsread 12 November 2026
Photo

Команда спросила, не сошёл ли я с ума. Нет, это просто Чёрная пятнИИца 🖤 Примерно так команда отреагировала на список подарков к нашей первой Чёрной пятнИИце 😄 Уверен. За 2026 год я перетестировал сотни нейросетей и собрал десятки своих AI-решений. Пора отдать лучшее разом. С сегодняшнего дня и по 12 ноября каждый день открываем новый подарок. Он доступен до 23:59, а потом сгорает. А 13–15 ноября в 11:00 мск пров…

Showing the 12 most recent of 153 posts we hold for @ii_ekspert. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

29 Jul 2026, 05:59 UTCAnonymous Poll10 voters

Кто вы сегодня?

  1. Овен-выгоратель 🥵40%
  2. Телец-рутинщик 😶‍🌫️20%
  3. Близнецы-многостаночники 🫂30%
  4. Спящий Лев 🫠20%
  5. РАААК 😵10%
  6. Оптимистичный стрелец 😎20%

The shares total 140%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 153 most recent posts we hold, published 27 July 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Нейросети для бизнеса
@neuralforbusiness · 24,810
#1
Аяз
@AyazShabutdinov · 177,636
#2
Нейросети для предпринимателя
@neural_for_business · 41,891
#3
Дмитрий Ледовских | Экспертность в нейросетях
@ledovskih_ai · 9,733
#4
Проект "Уволь меня"
@uvol_menya · 2,114
#5
Ледовских про AI: бизнес, агенты, доход
@ledovskih_lab · 13,544
#6
Михаил Гребенюк
@grebenukm · 251,213
#7
Влад Морозов | Про нейросети
@bymorozov1 · 7,130
#8
Психолог Евгения Ли
@evgenia_li_kanal · 5,105
#9
ARIKOVA PRO. ЯРД на AI
@arikovapro · 10,237
#10
Дмитрий Добро — Мастерство Жизни
@dmdobro · 2,577
#11
Мария ☀️ Волшебница
@maria_volshebnica1 · 4,372
#12
Александр Турчинович
@turchinovich · 9,127
#13
Камал Сотавов
@kamalsotavoff · 2,596
#14
Про продажи в инфобизнесе. Елена Солженикина.
@elenasolzhnews · 3,367
#15
neo IKIGAI channel
@neo_ikigai · 6,033
#16
Татьяна Маричева
@tm_producer · 30,710
#17
Дмитрий Ащепков: Деньги, бизнес, отношения
@aschepkovpro · 4,527
#18
Александр Писарев 🕹 Big Game
@pisarevblog · 3,539
#19
Михаил Дашкиев
@mikhaildashkiev · 44,771
#20
Деньги из Telegram | Ирина Ермола
@reklamaa_v_telegram · 2,996
#21
Алина Сентякова | маркетинг💰
@alina_pro_business · 1,835
#22
Олег Пименов I Батя экспертов
@pimenovpapa · 2,074
#23
Дмитрий Ледовских | НейроБизнес
@DmitryLedovskih · 11,347
#24
Воеводин Петр🥇ГДЕ КЛИЕНТЫ?
@voinpr · 4,201
#25
Айгуль Фаррахова | уже не на WB
@a_farrakhova · 2,589
#26
Капитал Волковского: Источник
@volkovsky_one · 243
#27
Воронова | Тренд-аналитик / Продуктолог
@VoronovaEk · 5,616
#28
Хайлайты | Журнал про инфобиз и edtech
@infohilights · 20,944
#29
Я — предприниматель
@dashkievpro · 22,108
#30
Мария Сухоруких
@klienti_vtg · 25,935
#31
Рами про ДЕНЬГИ и МЫШЛЕНИЕ
@rami_pro · 1,731
#32
КОВАЛЕВ | WB OZON & E-COM
@kovalev_wb · 3,555
#33
Юра Мурадян
@ymuradyan · 38,086
#34
ГРЕБЕНЮК | PRO Telegram💲
@grebenuk1 · 1,315
#35
Алиса MENTOR🚀MAXимальное продвижение
@academyzapuskov · 3,612
#36
Христосенко
@easybillions · 5,152
#37
Бедрий про Бизнес
@happybillioners · 846
#38
ВАЛЕНТИНА ПРО ДИЗАЙН
@valentinka_pro_interior · 126
#39
Телеграм Петроченкова
@petrochenkow · 46,480
#40
Михаил Нимец | СТРОИТЕЛЬНЫЙ БИЗНЕС БЕЗ ВЛОЖЕНИЙ | СТРОЙКА И НЕДВИЖКА
@business_nimets · 2,090
#41
Елена Довбыш. Мотивирую на быстрые финансовые результаты
@ElenaDov_tvt · 810 (as read 28 August 2026)
#42
WB без секретов | Максим Плугарь
@WBMarketp1ace · 7,996
#43
СИСТЕМА🚀ЭКСПЕРТАМ/БУТЕНКО|продажи|запуски|самопродюсирование
@butenkoelina1 · 5,559
#44
Высшая Лига Маркетинга | Глеб Яскевич
@infogleb · 13,404
#45
Морской | ЗАПУСКИ В TELEGRAM
@morskoy_valentin · 1,154
#46
💎 Мила Позняк ∞ Практики для Жизни
@MilaPoznyak · 3,162
#47
Pro Трафик и Нейросети
@Abramov_like · 1,814
#48
FOGEL
@fogel_aleksandr · 1,745
#49
Про франчайзинг - FranchMaster
@FranchMaster · 355
#50
Эфиры Dimmano
@zapuskredsmm · 1,329
#51
5 ПРИЗМ Академия | Коучинг, который меняет жизнь | 5 PRISM
@academ5prism · 34,479
#52
Корытин выкручивает конверсии
@nmiacm · 60,586
#53
Софико про 💸и🤎с блога
@sofiko_maz · 15,936
#54
Сергей Шашков | Нейромаркетинг❤️
@neotrafik · 1,988
#55
Джафар | Миллионы на контенте
@Mr_ReelsRoyce · 10,397
#56
Сергей Воробьёв️ - Ментальный Спонсор
@VorobyovSergey · 613
#57
Ленивый продюсер. Блог.
@lazyproducer · 25,651
#58
Ольга Пасхина | Маркетинг без хаоса
@paskhinablog · 202
#59
Мари про запуски
@mari_zapuski · 74,148
#60
Пронягин Алексей
@pronyagin_alexey · 1,796
#61
Деньги на экспертности 🎯 Елена Бродская
@peregovory_PRO · 1,084 (as read 28 August 2026)
#62
Лёша Золотов
@lexeytoday_blog · 16,804
#63
Oleg Torbosov
@TorbosovLife · 106,637
#64
Мари, ну что?
@mari_vse · 18,384
#65
Агент Кирпич | Катя Джин
@agentkirpich · 6,156
#66
Вадим Багаутдинов 🔗
@vadbag · 2,313
#67
Евгения Dreams✨Лямы🍋в ТГ✨
@evgeniadreams · 9,286
#68
Роман Даниленко | Ozon на 🍋
@romandanilenko7 · 563
#69
Пётр Деревенский | основной канал
@applifegame · 11,008
#70
Пётр Осипов | записки о развитии
@petrosipovprivate · 47,994
#71
✨Приём, это Эня | entaipova
@entaipovaa · 6,541
#72
Шаевский Андрей WB и OZON и ЖИЗНЬ
@bzdnevnik · 1,258
#73
Вирус 🥰 счастья от Татьяны Галимовой (Чубаковой)
@ChubakovaTatyana · 1,208
#74
Виола.
@instalova_viola · 7,079
#75
Терапия души с Еленой Щербаковой
@TD_Shcherbakova · 758
#76
Женя Старилова | Про контент
@jane_starilova · 6,796
#77
Таня Бекасова
@tanya_bekasova · 1,566
#78
Илья на WB
@wbbillionmarket · 3,775
#79
Внешняя реклама WB / Реклама в социальных сетях у блогеров для Wildberries
@andrienko_traffic · 2,221
#80
ЯвТелеДуша❤️ДарАнна
@Yavteledusha · 309
#81
Нугманова, книги, фильмы, мысли
@vkusteksta · 208
#82
Фаршатов живёт
@ruslanfarshatov · 12,673
#83
Натали Полякова💝
@NataliPoliakovaa · 258 (as read 28 August 2026)
#84
WORLD ED ❤️
@ED_AM_ED · 613
#85

Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Нейросети для бизнеса
@neuralforbusiness · 24,810
Telegram ranks this channel #3 of 87 here — alongside 86 others — read 14 September 2026
Нейросети для предпринимателя
@neural_for_business · 41,891
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 28 August 2026
PulseGPT | Новости, нейросети, гайды
@Pulse_GPT · 43,966
Telegram ranks this channel #41 of 73 here — alongside 72 others — read 27 August 2026

This channel appears in 3 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“AI Эксперт: бизнес, агенты, доход” (@ii_ekspert), 43,892 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ii_ekspert.

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.