Telegram RegisterThe public register of Telegram
Telegram profile photo for Нейросети для предпринимателя

Channel

Нейросети для предпринимателя

@neural_for_business

On this record: Topic · Previous handles · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry

42,632subscribers

-692 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-1001929454072
TypeChannel
Username@neural_for_business
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/neural_for_business

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 84% 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.

Previous handles

@neural_for_business was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@likeisstrong
held 7 August 20267 August 2026

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 word for word on 7 other registered channels. 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
@concentrat_new/205725 Jul 2026, 07:00 UTC@likeisstrong/279025 Jul 2026, 07:05 UTC1.005 minutes
@concentrat_new/205827 Jul 2026, 10:54 UTC@likeisstrong/279127 Jul 2026, 10:54 UTC1.00under a minute
@concentrat_new/205929 Jul 2026, 05:59 UTC@likeisstrong/279229 Jul 2026, 05:59 UTC1.00under a minute
@concentrat_new/206330 Jul 2026, 14:09 UTC@likeisstrong/279630 Jul 2026, 16:07 UTC1.002.0 hours
@likeisstrong/279731 Jul 2026, 10:54 UTC@concentrat_new/206431 Jul 2026, 10:57 UTC1.003 minutes
@concentrat_new/20661 Aug 2026, 07:37 UTC@likeisstrong/27991 Aug 2026, 07:39 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@concentrat_new16 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (97)
@ledovskih_ai16 (8/8 hand-verifiable sample passed)1.00under a minute@ledovskih_ai (115)
@neuralforbusiness16 (8/8 hand-verifiable sample passed)1.005 minutes@neuralforbusiness (97)
@ledovskih_lab16 (8/8 hand-verifiable sample passed)1.002 minutes@ledovskih_lab (106)
@ii_ekspert13 (8/8 hand-verifiable sample passed)1.002 minutes@ii_ekspert (85)
@ii_busines12 (8/8 hand-verifiable sample passed)1.007 minutes@ii_busines (84)
@uvol_menya11 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (74)

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. 5 of the 57 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 16 comparable posts for this entry, running 23 July 2026 to 7 August 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).

Across the whole group of 8, the earliest publisher we hold is @ledovskih_lab. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 7 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

42,63243,32442,9787 August 2026 — 43,324 subscribers8 August 2026 — 43,303 subscribers9 August 2026 — 43,289 subscribers10 August 2026 — 43,275 subscribers11 August 2026 — 43,267 subscribers12 August 2026 — 43,263 subscribers13 August 2026 — 43,243 subscribers14 August 2026 — 43,234 subscribers16 August 2026 — 43,224 subscribers17 August 2026 — 43,206 subscribers18 August 2026 — 43,191 subscribers19 August 2026 — 43,178 subscribers20 August 2026 — 43,174 subscribers21 August 2026 — 43,168 subscribers22 August 2026 — 43,077 subscribers24 August 2026 — 43,070 subscribers25 August 2026 — 43,062 subscribers26 August 2026 — 43,026 subscribers27 August 2026 — 42,998 subscribers28 August 2026 — 42,992 subscribers28 August 2026 — 42,971 subscribers30 August 2026 — 42,961 subscribers30 August 2026 — 42,958 subscribers31 August 2026 — 42,940 subscribers1 September 2026 — 42,893 subscribers2 September 2026 — 42,879 subscribers4 September 2026 — 42,834 subscribers7 September 2026 — 42,805 subscribers10 September 2026 — 42,760 subscribers14 September 2026 — 42,703 subscribers16 September 2026 — 42,675 subscribers18 September 2026 — 42,632 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net -692. 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 42,528–43,428 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 10:4042,632-43
16 Sept 2026, 03:0042,675-28
14 Sept 2026, 13:2242,703-57
10 Sept 2026, 17:5942,760-45
7 Sept 2026, 13:4142,805-29
4 Sept 2026, 13:3842,834-45
2 Sept 2026, 21:3842,879-14
1 Sept 2026, 20:0442,893-47
31 Aug 2026, 22:2642,940-18
30 Aug 2026, 23:4742,958-3
30 Aug 2026, 00:5642,961-10
28 Aug 2026, 23:0542,971-21
28 Aug 2026, 01:4342,992-6
27 Aug 2026, 03:2442,998-28
26 Aug 2026, 05:0343,026-36
25 Aug 2026, 07:0343,062-8
24 Aug 2026, 10:0443,070-7
22 Aug 2026, 15:5843,077-91
21 Aug 2026, 05:5443,168-6
20 Aug 2026, 07:2543,174first reading

Engagement

61 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.45%
avg views ÷ 42,632 subscribers
Avg views / post
192
29 posts measured
Reaction rate
2.38%
reactions ÷ views · ER floor
Posts in window
29
of 61 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 16 of 29 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 11 September 2026
Posts held61 (23 July 202611 September 2026)
Views total5,563
Reactions total79
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 13:22 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
5m 25s
Average length
1m 05s

Measured directly from 5 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

114 reactions across 26 posts, in 15 distinct kinds. The most used accounts for 43.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5043.9%
👍2118.4%
❤‍🔥97.89%
76.14%
65.26%
🎉32.63%
😍32.63%
🤔32.63%
🤨32.63%
💯21.75%
😁21.75%
😱21.75%
🌭10.877%
🍾10.877%
😎10.877%

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 26 of the 61 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 114 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 23 July 2026 to 11 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.

Recent posts

11 Sept 2026, 10:50 UTC124 viewsread 14 September 2026
Video

Вот и пятница... хотя ты и так это знаешь) Собственно, не об этом я хотел сегодня с тобой поговорить. Знаешь этот момент: конец недели, по ощущениям всё было максимально продуктивно, но остаётся внутренний зуд — что можно было сделать больше. А ещё хуже, если внутри сидит червячок сомнения и боязливо намекает, что что-то из отложенного почти наверняка дало бы весомый результат... В итоге. Я сижу перед открытым чато

10 Sept 2026, 14:44 UTC145 views5 reactionsread 14 September 2026
Video

Играем в угадайку, AI или живой человек? Проверим твой глаз 😑 Штука, которая бесит и восхищает одновременно: AI дошёл до уровня, когда на видео уже не поймёшь — снимал живой человек на камеру или это аватар, собранный за 15 минут без единой съёмки. Но ты то наверняка разберёшься? Не так ли?) Смотри ролик и реши, что перед тобой? ❤️‍🔥 - Живой чел. + Ручной монтаж ⚡️ - Живой чел. + Автомонтаж AI-Агентом 👍 - Аватар +

11❤‍🔥1👍1🔥1

9 Sept 2026, 16:47 UTC189 views4 reactionsread 14 September 2026
Photo

⚡️ OpenAI выпустили официальный гайд по промптингу GPT Image 2.5 Сохраняйте. Это подробная шпаргалка по созданию изображений и точечному редактированию. Внутри разобрали, как генерировать: • фотореалистичные кадры; • логотипы и рекламные креативы; • инфографику и научные схемы; • комиксы и персонажей; • интерфейсы приложений; • слайды с графиками и читаемым текстом. Есть отдельный раздел про редактирование: как за

🔥2🍾1👍1

9 Sept 2026, 06:47 UTC169 viewsread 14 September 2026

Специальное включение, пока мы не начали. Для тех, кто любит дождаться последнего момента... Ссылка на прямой эфир, в боте. До встречи, я пошёл готовиться.

8 Sept 2026, 15:20 UTC171 viewsread 14 September 2026
Photo

Блог не растёт — в чём причина? ПРОБЛЕМА ВООБЩЕ НЕ В КОНТЕНТЕ 😓 Внутри реалити кипят страсти. Поскольку всё в живую, то на пути к успеху, не избежать ошибок. Лиза столкнулась с первыми проблемами по росту блога, поэтому я разобрал 4 важных правила, как растить аудиторию. Чтобы у вас появился конкретный следующий шаг, подготовил памятку «Где мой блог теряет подписчиков?». Внутри — проверка вашего блога глазами новог

8 Sept 2026, 06:47 UTC154 viewsread 14 September 2026
Photo

Как создавать контент с AI и набирать на нём подписчиков 🔥 9 и 10 сентября я проведу два больших практических эфира «КОНТЕНТ НА ВАЙБЕ: Повтори за мной». Это не будут лекции, где вы два часа слушаете, а потом ничего не внедряете. Я открою экран, пройду весь путь по шагам, а вы сразу повторите его у себя. Можно приходить, даже если вы никогда не работали с агентами, не знаете Codex и пока вообще не понимаете, с чего

7 Sept 2026, 16:03 UTC141 viewsread 14 September 2026
Photo

АВТОМОНТАЖ ОТ АГЕНТА — ЗАБЕРИ СЕКРЕТНЫЕ СКИЛЛЫ Когда я создавал свой модуль автомонтажа, изучил больше 10 скиллов и инструментов. В канал выложил два самых сильных — вместе с инструкциями и готовыми запросами для агента. Внутри — пошагово, как передать монтаж AI-агенту: АВТОМОНТАЖ — загружаешь исходное видео, а Codex или Claude Code составляет план, убирает длинные паузы, добавляет субтитры, музыку и плашки, перев

7 Sept 2026, 08:27 UTC157 viewsread 14 September 2026
Photo

КОНТЕНТ-ОТДЕЛ ИЗ АГЕНТОВ ПОД КЛЮЧ УЖЕ В ЗАКРЫТОМ КАНАЛЕ Тебе больше не нужно в одиночку быть и сценаристом, и монтажёром, и продажником. Выбираешь задачу, на которой застрял, и нужный AI-сотрудник делает её за тебя. 7 АГЕНТОВ ДЛЯ ТВОЕГО КОНТЕНТА НА ВАЙБЕ. ПРОСТО ВОЗЬМИ И ПОВТОРИ: 🎬 REELS-РЕЖИССЁР — придумает, о чём снять ролик, и распишет по шагам, что говорить и что показать в кадре. 🪝 РЕДАКТОР ХУКОВ И ЗАГОЛОВК

5 Sept 2026, 07:29 UTC190 viewsread 14 September 2026
Photo

ЗАБЕРИ ЛАЙФХАК №2: РИЛСЫ БЕЗ СЪЁМОК Лайфхак №2 уже в закрытом канале практикума «Контент на вайбе: повтори за мной» Скажи честно: сколько классных идей ты не выложил только потому, что не хотелось вставать перед камерой? Сегодня я показал, как эту проблему закрыть раз и навсегда. Собрал своего цифрового двойника — агента, который снимает рилсы за меня. Внутри бота — пошагово, как повторить за 10 минут: 😎 АВАТАР

4 Sept 2026, 15:18 UTC184 views1 reactionsread 14 September 2026
Photo

Осторожно, далее кликбейт 🆓 В прошлый раз был большой ажиотаж из-за розыгрыша макбука. Я решил повторить — и в нагрузку добавить ещё призов. Что ж поделать, мы все любим игры. Ничего криминального я в этом не вижу. Короче, собрали внутри бота реалити игру. Работает просто: первый подарок забираешь сразу, дальше открываешь уровни — по одному за каждого друга, которого приведёшь по своей ссылке. Чем выше поднялся — т

🤔1

Showing the 12 most recent of 61 posts we hold for @neural_for_business. 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 🥵30%
  2. Телец-рутинщик 😶‍🌫️40%
  3. Близнецы-многостаночники 🫂10%
  4. Спящий Лев 🫠10%
  5. РАААК 😵10%
  6. Оптимистичный стрелец 😎30%

The shares total 130%, 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 61 most recent posts we hold, published 23 July 2026 to 11 September 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.

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.

Аяз
@AyazShabutdinov · 179,872
#1
Нейросети для бизнеса
@neuralforbusiness · 25,286
#2
Мария ☀️ Волшебница
@maria_volshebnica1 · 4,461
#3
neo IKIGAI channel
@neo_ikigai · 6,201
#4
Дмитрий Ледовских | Экспертность в нейросетях
@ledovskih_ai · 9,936
#5
AI Эксперт: бизнес, агенты, доход
@ii_ekspert · 44,542
#6
Дмитрий Ащепков: Деньги, бизнес, отношения
@aschepkovpro · 4,514
#7
Дмитрий Ледовских | НейроБизнес
@DmitryLedovskih · 11,378
#8
Влад Морозов | Про инфобизнес
@bymorozov1 · 7,245
#9
Воеводин Петр🥇ГДЕ КЛИЕНТЫ?
@voinpr · 4,239
#10
ARIKOVA PRO. ЯРД на AI
@arikovapro · 10,414
#11
Михаил Гребенюк
@grebenukm · 258,498
#12
Психолог Евгения Ли
@evgenia_li_kanal · 5,154
#13
Oleg Torbosov
@TorbosovLife · 107,553
#14
Дмитрий Добро — Мастерство Жизни
@dmdobro · 2,608
#15
Михаил Дашкиев
@mikhaildashkiev · 43,841
#16
Лебедев про Нейросети | Курсы ИИ обучение ChatGPT Маркетограф Павел
@marketograf · 12,808
#17
Рами про ДЕНЬГИ и МЫШЛЕНИЕ
@rami_pro · 1,748
#18
Илья Кочнев Маркетинг, ИТ, аутрич
@ikochnev · 1,454
#19
Я — предприниматель
@dashkievpro · 21,205
#20
Оскар Хартманн
@Oskar_Hartmann · 94,220
#21
Про продажи в инфобизнесе. Елена Солженикина.
@elenasolzhnews · 3,423
#22
Татьяна Маричева
@tm_producer · 31,381
#23
Елена Довбыш. Мотивирую на быстрые финансовые результаты
@ElenaDov_tvt · 810 (as read 28 August 2026)
#24
Фокус на бизнес
@nechto_hard · 14,112
#25
Алина Сентякова | маркетинг💰
@alina_pro_business · 1,839
#26
Альфия Газизова
@alfiyagazizovaa · 3,207
#27
Хайлайты | Журнал про инфобиз и edtech
@infohilights · 21,237
#28
Вселенная Нейросетей
@neirovsel · 794
#29
Запуски по Антонову
@antonov_launch · 9,552
#30
Pro Трафик и Нейросети
@Abramov_like · 1,821
#31
2️⃣ Inna Tliashinova |ТРЕНАЖЕРЫ ДЛЯ ПОДСОЗНАНИЯ!
@trener_podsoznanie · 46,631
#32
Капитал Волковского: Источник
@volkovsky_one · 253
#33
Дмитрий Торгов
@dimatorgov · 11,554
#34
Татьяна Рассохина / Масштаб бизнеса с ИИ
@neuromarketing_TatianaRa · 1,906
#35
Юра Мурадян
@ymuradyan · 39,308
#36
Маргулан Сейсембай
@MargulanSeissembai · 209,984
#37
Камал Сотавов
@kamalsotavoff · 2,640
#38
Заметки Ген.Директора
@alexeev_vasiliy · 7,330
#39
Маркетинг с умом | Саша Барсукова
@barsmarketing · 383
#40
Усатый Маркетолог про инфобизнес
@timeartem · 8,266
#41
Михаил Нимец | СТРОИТЕЛЬНЫЙ БИЗНЕС БЕЗ ВЛОЖЕНИЙ | СТРОЙКА И НЕДВИЖКА
@business_nimets · 2,117
#42
Света Афанасьева
@engageforsales · 28,984
#43
Лёша Золотов
@lexeytoday_blog · 17,343
#44
Максим Следь
@maxsled · 2,684
#45
ГРЕБЕНЮК | PRO Telegram💲
@grebenuk1 · 1,339
#46
Бизнес Калашникова
@business_kalashnikova · 6,241
#47
Евгения Dreams✨Лямы🍋в ТГ✨
@evgeniadreams · 9,280
#48
Агент Кирпич | НЕДВИЖКА РФ
@agentkirpich · 7,170
#49
Александр Турчинович
@turchinovich · 8,827
#50
Айгуль Фаррахова | всё ещё на WB
@a_farrakhova · 2,646
#51
Морской | ЗАПУСКИ В TELEGRAM
@morskoy_valentin · 1,163
#52
Корытин выкручивает конверсии
@nmiacm · 60,309
#53
Вадим Багаутдинов 🔗
@vadbag · 2,351
#54
Мари, ну что?
@mari_vse · 18,532
#55
Воронова | Тренд-аналитик / Продуктолог
@VoronovaEk · 5,702
#56
Пётр Осипов | записки о развитии
@petrosipovprivate · 49,081
#57
Деньги на экспертности 🎯 Елена Бродская
@peregovory_PRO · 1,066
#58
Христосенко
@easybillions · 5,270
#59
Ольга Гогаладзе
@profinansy · 577,980
#60
Александр Писарев 🕹 Big Game
@pisarevblog · 3,585
#61
Женя Старилова | Про контент
@jane_starilova · 6,797
#62
Телеграм Петроченкова
@petrochenkow · 47,331
#63
Поправь Маркетинг с Максом Поправко
@popravko_marketing · 2,243
#64
SASHA BELAIR
@ab_chat · 134,036
#65
Седа Каспарова
@Seda_Kasparova_news · 257,186
#66
Джафар | Миллионы на контенте
@Mr_ReelsRoyce · 10,559
#67
Деньги из Telegram | Ирина Ермола
@reklamaa_v_telegram · 2,595
#68
Артем Сенаторов печатает...
@senatorov_art · 31,470
#69
Даниил Тур
@tur_daniil · 5,903
#70
Таня Кейн
@tanya_keyn · 7,506
#71
Андрей Харин
@andrewharin · 5,829
#72
Флагман Нетворкинг Стаса Еговцева
@flagmanforum · 3,819
#73
S H A M A N I C A
@shamanica1 · 1,243
#74
Виола.
@instalova_viola · 7,141
#75
ГУЗЕЛЬ САФИНА | реализация | мышление
@guzelsafinaa · 4,819
#76
Дмитрий Котов | 600+ сделок по продаже бизнеса
@metod_kotova · 1,103
#77
ЖИВИ | Блог Альбины ЧанМин
@AlbinaChanmin · 2,562
#78
💎 Мила Позняк ∞ Практики для Жизни
@MilaPoznyak · 3,208
#79
Мари про новости
@mari_novosti · 6,275
#80
Roman Zayneev
@infobiz_roma · 9,349
#81
Шаевский Андрей WB и OZON и ЖИЗНЬ
@bzdnevnik · 1,292
#82
Юлия Ивлиева
@amelisoul_master · 104,597
#83

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 · 25,286
Telegram ranks this channel #2 of 87 here — alongside 86 others — read 14 September 2026
AI Эксперт: бизнес, агенты, доход
@ii_ekspert · 44,542
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 28 August 2026
Аяз
@AyazShabutdinov · 179,872
Telegram ranks this channel #15 of 89 here — alongside 88 others — read 12 August 2026
Марафон по финансовой грамотности | pro.finansy
@igra_profinansy · 46,359
Telegram ranks this channel #48 of 83 here — alongside 82 others — read 27 August 2026
Осенняя школа | 23-25 сентября
@invest_profinansy · 33,017
Telegram ranks this channel #51 of 88 here — alongside 87 others — read 4 September 2026
Куда инвестирует Ольга Гогаладзе | pro.finansy
@alwaysbemoney · 31,333
Telegram ranks this channel #70 of 85 here — alongside 84 others — read 6 September 2026

This channel appears in 6 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Нейросети для предпринимателя” (@neural_for_business), 42,632 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/neural_for_business.

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.