Telegram RegisterThe public register of Telegram

Channel

NEIROSETKIN

@neirosetkin

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

20,525subscribers

-82 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001851100460
TypeChannel
Username@neirosetkin
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/neirosetkin

Growth

20,52520,60720,5666 August 2026 — 20,607 subscribers6 August 2026 — 20,607 subscribers6 August 2026 — 20,597 subscribers7 August 2026 — 20,585 subscribers8 August 2026 — 20,566 subscribers9 August 2026 — 20,561 subscribers10 August 2026 — 20,553 subscribers11 August 2026 — 20,541 subscribers12 August 2026 — 20,539 subscribers13 August 2026 — 20,533 subscribers15 August 2026 — 20,525 subscribers6 August 202615 August 2026
11 measurements spanning 9 days, net -82. 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 20,513–20,619 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:3520,525-8
13 Aug 2026, 14:0720,533-6
12 Aug 2026, 16:5320,539-2
11 Aug 2026, 18:2420,541-12
10 Aug 2026, 19:1820,553-8
9 Aug 2026, 19:4120,561-5
8 Aug 2026, 17:3820,566-19
7 Aug 2026, 17:4720,585-12
6 Aug 2026, 15:5120,597-10
6 Aug 2026, 02:0620,607no change
6 Aug 2026, 01:0020,607first reading

Engagement

34 posts held, back to 31 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.89%
avg views ÷ 20,525 subscribers
Avg views / post
797
34 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 33 of 34 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 14 August 2026
Posts held34 (31 July 202614 August 2026)
Views total27,112
Reactions total441
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:50 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 27s
Average length
23s

Measured directly from 14 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

433 reactions across 31 posts, in 11 distinct kinds. The most used accounts for 41.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥17941.3%
😁11827.3%
5412.5%
👍378.55%
🥰194.39%
🤩143.23%
😱61.39%
🎉20.462%
😍20.462%
🤔10.231%
🤯10.231%

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 33 of the 34 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 441reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 31 July 2026 to 14 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.

Recent posts

14 Aug 2026, 12:39 UTC302 views9 reactionsread 14 August 2026
Video

Разыгрываю 3 билета на Кинолето AI 3 🎬 Ребята, сегодня выпустил вот такой ролик👆Здесь показываю только часть, полную версию смотрите в инстаграме. Посчитайте: «Сколько своих образов я поменял в ролике?» 1. Присылайте свои варианты помощнику @adm_profit 2. В комментариях к посту пришлите «+», что участвуете. Первым 3-м, кто правильно ответит, подарю доступ на Кинолето AI 3 🎁 Итоги подведу завтра в 18:00 по мск.

😁42🔥2🥰1

13 Aug 2026, 18:28 UTC542 views16 reactionsread 14 August 2026
Video

Не смотрите ночью: час бега без остановки. Какой мир выберешь? 😏 Еще один эксперимент с Flux 3. Собрал коллекцию комнат страха🤡🧌🐍 Нравится Flux 3 — пониманием контекста, озвучкой, цветопередачей. Однозначно забираю под определенные задачи. Озвучку детским голосом сделал в минимакс аудио. А кто хочет преодолеть свои страхи как нейрокреатор: — «У меня не получится так красиво» — «Мне стыдно выкладывать свои работы»

😁6👍4🔥3😱3

12 Aug 2026, 16:52 UTC703 views9 reactionsread 14 August 2026
Photo

«Это лучший показатель хорошего обучения» Благодарю🔥 Каждый день после мастер-класса продолжаю получать благодарности) Кто хочет так же вдохновиться и получить еще и инструменты для создания мини-фильма в нейросетях — жду на финальном «Кинолето AI 3».

🔥72

12 Aug 2026, 09:27 UTC857 views29 reactionsread 14 August 2026
Video

Халява на видеогенерации от Flux 3 Не знаю откуда такая щедрость, но пока работает. Написано до 17 августа. Заходим на сайт и генерим по тексту, по изображению, до 20 секунд, с озвучкой, в качестве HD и FULL HD Генерации в разделе Playground В максимальном качестве видео длиной 20 секунд генерит минут 15 - 60 ( видимо зависит от нагрузки на сервер) Через Гугл акк подключится не дало, зарегался просто по почте. Н

🔥15😁131

11 Aug 2026, 14:04 UTC838 views12 reactionsread 14 August 2026
Video

Круговорот бабок в природе 😁 Очередные эксперименты с Minimax H3. Что нравится: можно прикрепить до 12 рефереснов, говорит на русском, понимает промпты для Seedance 2 (до 7000 символов) Продолжаем тестить) Напоминаю, что главный портал в мир нейросетей снова открывается 20-21-22 — мастер-класс «Кинолето AI 3» (финальный!)

🔥7😁4🤩1

10 Aug 2026, 16:45 UTC843 views14 reactionsread 14 August 2026
Photo

После «Кинолето AI 2» ребята тоже не могут остановиться 😁 Работы летят в чат одна за другой. В нашем портфолио мастер-класса уже больше 30 готовых проектов участников. И самое классное — каждый ролик уникальный. Свои герои, детали, локации, ситуации. И многие идут дальше со мной на воркшоп «Нейрорежиссер 2» (старт 10 сентября). По отзывам формат, где мы 3 дня вместе создаем один полноценный ролик, получился неверо

🔥102🤔1🥰1

10 Aug 2026, 15:43 UTC758 views35 reactionsread 14 August 2026
Video

Сделал кусочек волчьего клипа из 90х, а ведь хотел просто потестировать Flux 3😁 Обожаю свою профессию: если у тебя уже есть навыки раскручивания идеи и докручивания ее до результата, остановиться невозможно 😁 Одна тестовая генерация превращается во вторую, потом появляется идея, сюжет, музыка — и вот ты уже собираешь клип. Кажется, это побочный эффект профессии: сразу хочется создать что-то киношное 🎬 Инструменты

🔥23😁7😱21👍1🤩1

8 Aug 2026, 16:42 UTC875 views8 reactionsread 14 August 2026

Вот я как-раз из тех, кто никогда такого не делал, да и от нейросетей еще 3 месяца назад была ох как далека! но теперь, Руслан,спасибо тебе, я получила такой кайф от процесса создания ролика! МК был суперский, иду дальше на воркшоп

4🔥3😍1

8 Aug 2026, 08:05 UTC914 views7 reactionsread 14 August 2026
Photo

Как вы все быстро и правильно понимаете 😁 После двух мастер-классов и обратной связи уверен — этот опыт будет незабываемый и расширяющий ваши навыки нейрокреатора 🚀 Такой вам подарок этим летом от меня) → Вход на «Кинолето AI 3»

5🔥1🤩1

8 Aug 2026, 07:26 UTC865 views11 reactionsread 14 August 2026
Photo

Все же будет «Кинолето AI 3»😁 Я вижу, что вы оплачиваете и до сих пор хотите присоединиться к МК. Это кайф) Так как мы уже вышли на финишную прямую, я решил продолжить наше нейрокреативное лето — 20-21-22 августа делаем «Кинолето AI 3». Точно последний МК этим летом😁 Залетайте — https://neirosetkin.ru/kinoleto

🔥6🥰2🤩1🤯1😍1

8 Aug 2026, 07:14 UTC696 views16 reactionsread 14 August 2026
Video

Ой, ребята, что мы замутили на «Кинолето AI-2» 😍 Это генерация прямо с эфира — получилась очень забавная 👆🏻😁 3 дня вместе с ребятами (нас больше 120 человек) мы создаем полноценный минутный ролик: с сюжетом, поворотными событиями, динамикой и 11 сценами. И это не просто «нажал кнопку — получил видео»😁 (ролик, кстати, про это). За каждой сценой огромная работа: сначала мы готовили изображения и продумывали визуальн

🔥10👍32🤩1

8 Aug 2026, 07:13 UTC725 views10 reactionsread 14 August 2026

Никогда бы не поверил что около сотни человек за 2 дня делают такие крутые ролики и мини сцены. Причем многие с нуля.. А я много тренингов и обучений прошел. Оооочень много. Крутейший формат. п.с. показал детям- они спрашивают -" папа ..это кино студии такое создают?" ..😂

4🔥4👍1🤩1

Showing the 12 most recent of 34 posts we hold for @neirosetkin. 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.

Citation-graph rank

Citation-graph rank — 549,188 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 3 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“NEIROSETKIN” (@neirosetkin), 20,525 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/neirosetkin.

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.