Telegram RegisterThe public register of Telegram

Channel

Владимир Сухов | Нейросети 🍋

@sukhov_ai

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

6,277subscribers

+43 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002237270234
TypeChannel
Username@sukhov_ai
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/sukhov_ai

Growth

6,2346,2776,255.57 August 2026 — 6,234 subscribers8 August 2026 — 6,237 subscribers11 August 2026 — 6,251 subscribers14 August 2026 — 6,277 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +43. 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 6,228–6,283 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:076,277+26
11 Aug 2026, 12:226,251+14
8 Aug 2026, 04:226,237+3
7 Aug 2026, 16:166,234first reading

Engagement

18 posts held, back to 5 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
27.9%
avg views ÷ 6,277 subscribers
Avg views / post
1,750
8 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
8
of 18 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 9 August 2026
Posts held18 (5 June 20269 August 2026)
Views total14,001
Reactions total311
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:23 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.

Reaction mix

791 reactions across 18 posts, in 11 distinct kinds. The most used accounts for 61.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥49061.9%
👍13216.7%
13016.4%
🤣172.15%
👏60.759%
💯60.759%
❤‍🔥50.632%
🏆20.253%
😁10.126%
🙏10.126%
🤩10.126%

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 18 of the 18 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 791reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 5 June 2026 to 9 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
56
across the posts below
Posts paid on
16
of 18 we hold a reading for · 89%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sukhov_ai. 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 18 most recent posts we hold for this entry, published 5 June 2026 to 9 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.

Recent posts

9 Aug 2026, 19:26 UTC901 views24 reactionsread 12 August 2026
Photo

Чуть не забыл поделиться с вами Выложил на YouTube уже 4й модуль из цикла по построению Personal AI Systems 😘 УЛЬТИМАТИВНЫЙ ГАЙД ПО AI - СТАТЬЯМ Этот модуль более автономный, можно смотреть без привязки к предыдущим, в нем разложил все, что касается статей и лонгридов, как я их пишу на данный момент, разобрал по косточкам, видео получилось достаточно душным (считаю это плюс), т.к предполагается, что любой человек

🔥157👍2

5 Aug 2026, 17:20 UTC≈1,390 views33 reactionsread 12 August 2026

Недавно в чате AI Base задали вопрос: что изучать сейчас: продолжать N8N / Make или агентов вроде Claude Code и Codex? Я ответил как думаю и забыл про вопрос, очевидно же, подумал я Вчера вечером смотрел статистику на моем YouTube - старое (но в общем то актуальное) видео про N8N набрало 50 тысяч просмотров и по чуть продолжает набирать больше, чем остальные. И понял: то, что для меня (и для многих из вас) уже очев

🔥208💯4🏆1

4 Aug 2026, 11:02 UTC≈1,610 views41 reactions3 Starsread 12 August 2026
File

Попался классный гайд по агентам, сделал из него pdf - делюсь Этот гайд с удовольствием прочитал сам и вам рекомендую неспеша под чашечку ароматного кофе почитать, крайне полезно для начинающих - сразу многие термины и составляющие станут намного понятнее, прям база базовая, многие вещи объяснены простым, интересным языком (хотя и непонятные и сложноватые места тоже есть) Сохраняйте чтиво, делитесь им и ставьте ого

🔥2010👍10🙏1

30 Jul 2026, 04:03 UTC≈2,110 views21 reactions7 Starsread 12 August 2026
Photo

Продолжаем построение Personal AI System 🏁 Выложил в открытый доступ следующий 😘 МОДУЛЬ - №3 Если еще не смотрели МОДУЛЬ №1 и МОДУЛЬ №2 - рекомендую начать с них 😘 МОДУЛЬ 3 (Personal AI Systems) ТЕМЫ: ✔️ ТЕМА 5 - Obsidian как хранилище материалов, контекста, базы знаний для агента + хранилище результатов работы Вас и агента. Как развернуть такое хранилище и встроить его в систему? ✔️ ТЕМА 6 - Как создать проф

11🔥7👍3

28 Jul 2026, 09:19 UTC≈1,870 views75 reactions5 Starsread 12 August 2026

Пока записываю и монтирую новые части видеороликов про построение Personal AI Systems, делюсь полезностями: Десять бесплатных инструментов для скрапинга, парсинга сайтов в помощь вашему ИИ-агенту Многие решают такие задачи агентом в Claude Code с нуля - промптами и велосипедом, который давно изобретён, поэтому сохраняйте подборочку, пригодится (это все Github- дайте ссылку агенту и он все сделает): • Firecrawl - н

🔥51👍167🤩1

23 Jul 2026, 10:03 UTC≈2,000 views42 reactions4 Starsread 12 August 2026
Photo

Едем дальше 🏁 Выложил в открытый доступ (Youtube) следующий модуль - №2, с него начинается практика (все последующие будут также сугубо практическими), если еще не смотрели модуль №1 - рекомендую начать с него Для всех, кто только начинает разбираться с любыми ИИ агентами, а в особенности с Claude Code (показываю на нем) и не знал с чего начать, модуль №2 - идеальная практическая точка входа, даже те кто уже давно

🔥297👍6

21 Jul 2026, 06:02 UTC≈2,020 views40 reactions5 Starsread 12 August 2026
Photo

Начинаем цикл роликов посвященный построению Персональных ИИ систем (Personal AI Systems) 😘 МОДУЛЬ 1 ✔️ ТЕМА 1 - ЧТО ТАКОЕ Personal AI System? Рекомендую хотябы прослушать этот ролик в качестве подкаста, чтобы понять о чем будет идти речь и что будем строить в следующих практических модулях и роликах Постарался с разных точек зрения рассказать, что вкладываю в это понятие и рассказал почему десятки гайдов «как п

🔥1613👍11

19 Jul 2026, 08:22 UTC≈2,100 views35 reactions4 Starsread 12 August 2026

Что по планам? Не зря делал опрос этот https://t.me/sukhov_ai/445 — тут явно видно, что все темы вам интересны, и это хорошо) Какой итог? Что будем делать-то? Как совместим интерес? Начнем с построения Персональной AI Системы (а если точнее — с того, что это за зверь такой и почему так именует себя), прямо по шагам с нуля, все как я люблю (будет от 10 до 15 тем и роликов в этом цикле, которые объединю в несколько

👍20🔥87

11 Jul 2026, 08:38 UTC≈2,630 views22 reactions2 Starsread 12 August 2026
Photo

Делюсь результатами по Дзену за последний месяц и некой итоговой картиной (последний пост на эту тему) За последние 30 дней (скриншот 1): • 7млн+ показов статей • 880+ подписчика в Дзен канал • по моим подсчетам порядка 400 подписчиков в этот ТГ канал • расходы на такой результат в районе 6-8т.р. Примерно такой объем и темп планирую держать пока эта фишка работает, и пока меня устраивает соотношение расходы/результ

👍116🔥5

9 Jul 2026, 19:30 UTC≈2,190 views36 reactions1 Starread 12 August 2026

Сумашедшие недели, из последних сил выжег все лимиты недельные на Claude и Fable 5, думал передохну день-два до ресета… И что вы думаете? Сегодня же вышли новые модели от OpenAI (пост вообще об этом), но антропики подсуетились и сбросили лимиты Claude и Fable 5 (умно, чертовски умно, а спать то когда?) Теперь к OpenAI: Новые модели вышли, а вместе с ними что не менее интересно и новые продукты Во первых, новое

👍18🔥108

7 Jul 2026, 08:15 UTC≈2,170 views55 reactions1 Starread 12 August 2026

Сегодня последний день доступа к Fable 5 в подписке Claude (по крайней мере сейчас так, рано или поздно они все равно отдадут ее в подписку) Как ваши успехи? Что сделали интересного? 🏁 Я лично доволен, как слон) Скорее всего это можно было сделать и на Opus практически не хуже, но ажиотаж вокруг Fable и дедлайн сделали свое дело Полтора недельных лимита Fable 5 - столько я сжёг за неделю на подписке Max за $100 (о

🔥4110👍4

2 Jul 2026, 08:43 UTC≈2,520 views12 reactions1 Starread 12 August 2026
Photo

Результаты опроса и пару новостей Опрос из предыдущего поста (кстати еще можно проголосовать) не дал результата 😅 Все 3 основных направления набрали примерно одинаковое количество Конечно, я шучу, и опрос дал очень качественную картинку и всем кто проголосовал и оставил комментарии - спасибо ❤️ Будем работать с вами в этих направлениях) 🏁 К новостям (важно для клод-кодеров): Наконец-то обновили Sonnet. И теперь

❤‍🔥53🔥2👍1😁1

Showing the 12 most recent of 18 posts we hold for @sukhov_ai. 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.

Citation-graph rank

Citation-graph rank — 323,542 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 2 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Владимир Сухов | Нейросети 🍋” (@sukhov_ai), 6,277 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sukhov_ai.

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.