Нейроконцентрат - канал для тех, кто хочет быть на «ты» с нейросетями.🤖
Клуб с обучением нейросетям: https://t.me/pay_aiqclub_bot
Уроки по нейрофото и нейровидео, эфиры с экспертами, конкурсы с брендами, поддержка куратора и раз
Контакты: @igor_babko
Created
Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Growth
59 measurements spanning 91 days, net -498. 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 30,560–31,208 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
6 Nov 2026, 07:06
30,635
-8
5 Nov 2026, 09:28
30,643
-22
4 Nov 2026, 06:01
30,665
-17
3 Nov 2026, 05:22
30,682
-24
2 Nov 2026, 08:36
30,706
-8
1 Nov 2026, 07:06
30,714
-10
31 Oct 2026, 09:48
30,724
-30
30 Oct 2026, 10:55
30,754
-19
29 Oct 2026, 08:20
30,773
-11
28 Oct 2026, 09:28
30,784
-19
27 Oct 2026, 10:39
30,803
-7
26 Oct 2026, 10:41
30,810
-6
25 Oct 2026, 11:56
30,816
-2
24 Oct 2026, 10:46
30,818
-11
23 Oct 2026, 08:45
30,829
-11
22 Oct 2026, 06:45
30,840
-18
20 Oct 2026, 22:57
30,858
-13
19 Oct 2026, 19:37
30,871
-15
18 Oct 2026, 20:31
30,886
-11
17 Oct 2026, 21:11
30,897
first reading
Engagement
51 posts held, back to 4 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 157 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.15%
avg views ÷ 30,635 subscribers
Avg views / post
1,270
6 posts measured
Reaction rate
0.813%
reactions ÷ views · ER floor
Posts in window
6
of 51 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
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
51 (4 August 2026 – 4 November 2026)
Views total
7,628
Reactions total
62
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 22:57 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
≈1,050
Videos
≈630
Links
≈580
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
19m 30s
Average length
37s
Measured directly from 32 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
1,051 reactions across 51 posts, in 23 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
447
42.5%
🔥
413
39.3%
👍
77
7.33%
😍
27
2.57%
👏
12
1.14%
❤🔥
11
1.05%
💔
10
0.951%
👌
9
0.856%
😢
7
0.666%
🤩
6
0.571%
😁
5
0.476%
🙏
5
0.476%
🤝
4
0.381%
😘
3
0.285%
🥰
3
0.285%
🍌
2
0.19%
🏆
2
0.19%
👀
2
0.19%
🤯
2
0.19%
🍾
1
0.095%
3 further kinds
3
0.285%
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 51 of the 51 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 1,051 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 4 August 2026 to 4 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
4
of 51 we hold a reading for · 8%
Most on one post
9
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AIConcentrate. 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 51 most recent posts we hold for this entry, published 4 August 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 1 of 6 posts held from the last 30 days (16.7%) 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).
Как начать зарабатывать в несколько раз больше на уже готовых Reels, за 15 минут в день?
Смотрите, вы придумываете идеи, пишете сценарии, снимаете, монтируете. На один ролик могут уходить часы работы.
Потом выкладываете его в свои соцсети, собираете просмотры — и всё, рилс больше никто не увидит.
Но если у вас хороший Reels, почему показывать только аудитории на русском языке?🤔
Есть огромный англоязычный рынок, г…
🎬 КАК ЗАРАБАТЫВАТЬ НА AI-СЕРИАЛАХ? ЭФИР С ПРЕДСТАВИТЕЛЕМ NEXTALE 🚀
Уже завтра, 3 ноября (вторник), в 18:00 МСК встречаемся на специальном эфире AiQ Club!
Поговорим о том, как превратить создание ИИ-сериалов из творческого увлечения в источник дохода.
🎤 Наш гость — Александра Башашина
Head of Creator Partnerships платформы NEXTALE.
NEXTALE — международная платформа для коротких вертикальных сериалов, которая откры…
🔥 УЖЕ СЕГОДНЯ — ТРЕТИЙ ЭТАП ЧЕЛЛЕНДЖА!
🎵 Тема сегодняшнего эфира: «Как создать вирусный ИИ-трек на миллион прослушиваний и клип на миллион просмотров»
Наш спикер — Руслан Хасаншин, автор AI-трендов на 70+ млн просмотров, вирусных музыкальных проектов и ИИ-сериала «Лёха Лесной», собравшего более 15 млн просмотров!
Где посмотреть работы Руслана:
👉 Instagram
👉 Telegram «Нейросеткин»
🚀 На эфире разберём, как создават…
🔥 Начинаем через 20 минут, уже готовимся со спикером — КАК СОЗДАТЬ ИИ-СЕРИАЛ НА 20+ МИЛЛИОНОВ ОХВАТА?
Создадим свою первую серию вирусного сериала!
Один ИИ-сериал, более 20 миллионов охвата и 61 000 новых подписчиков всего за месяц! 🚀
Уже сегодня на новом эфире челленджа «Вирусный контент на миллионы просмотров» будем разбирать один из самых перспективных форматов нейроконтента — ИИ-сериалы.
📅 17 октября (СБ)
⏰ 1…
⚡️ Kling 4.0 - уже в SYNTX.AI [САЙТ & БОТ]
Kuaishou переписал своего флагмана, сделав упор на реализм видео и контроль над сценой.
🔥 Что нового в Kling 4.0?
➕ Видео от 3 до 30 секунд
Теперь вдвое больше, чем у Kling 3.0. Создайте полноценный ролик всего за одну генерацию.
➕ Звук в кадре
Двухканальная стереосистема. Липсинк стал значительно точнее (генерация на 9+ языках, включая эмодзи).
➕ Точечное редактирование…
🔥 СЕГОДНЯ В AIQ CLUB — СПЕЦИАЛЬНЫЙ ЭФИР ПО СОЗДАНИЮ ВИРУСНЫХ ИИ-МУЛЬТФИЛЬМОВ!
Уже через 3 часа в моём клубе AiQ пройдёт ещё один эфир челленджа «Вирусный контент на миллионы просмотров».
В этот раз будем разбирать создание вирусных ИИ-мультфильмов с точки зрения режиссуры, сценарных приёмов и использования ИИ-агентов.
📅 Сегодня, 15 октября (ЧТ)
⏰ 15:00
📍 Zoom
🎬 Спикер — Елизавета Палкина, режиссёр AI-фильмов, чьи…
ПЕРВЫЙ ЭФИР ЧЕЛЛЕНДЖА — РЕЦЕПТ ВИРУСНОГО ИИ-МУЛЬТИКА 🔥
Уже завтра стартует первый эфир челленджа «Вирусный контент на миллионы просмотров».
📅 3 октября (СБ)
⏰ 12:00
Спикер — Дарья Модина, ИИ-креатор из Беларуси.
Дарья уже 2 года работает в ИИ-креативе, реализовала проекты более чем для 100 клиентов. Её ИИ-мультики набирают сотни тысяч просмотров, а один из роликов приблизился к отметке в миллион. Благодаря охвата…
‼️ СЕГОДНЯ — ОРГАНИЗАЦИОННЫЙ ЭФИР К ЧЕЛЛЕНДЖУ «ВИРУСНЫЙ КОНТЕНТ НА МИЛЛИОНЫ ПРОСМОТРОВ»
📅 2 октября (ПТ)
⏰ 19:00
Уже завтра в AiQ CLUB стартует большой челлендж по созданию вирусного контента.
4 недели будем разбирать рабочие форматы, тестировать разные механики, изучать тренды и создавать контент не «на удачу», а с пониманием того, что именно может дать ему сильный охват.
А сегодня я проведу организационный эфир…
Большинство ИИ-роликов обречены на низкие просмотры еще до того, как вы написали первый промпт.
Знакомая ситуация: придумал идею или увидел классный референс, несколько часов генерировал кадры, переделывал, монтировал, тратил кучу токенов, в итоге ролик выглядит круто.
Публикуешь. А там несколько сотен просмотров.
Проблема часто вообще не в нейросети и не в качестве генерации. Просто сама идея была слабой.
Поэтом…
1 800 000 просмотров за сутки на этом тренде 🔥
Сотни копий, но у всех получается криво, потому что используют не ту модель нейросети.
Я протестировал чистый Seedance 2.5 и Higgsfield Genjutsu, по качеству с отрывом выйграл второй, у меня почти все генерации идеальные с первой попытки.
Как повторить тренд танцем на парковке 👇
1️⃣Заходим в Higgsfield.
2️⃣Выбираем нейросеть Genjutsu,
3️⃣Загружаете видео референс из з…
Как повторить новый тренд танцем на парковке?
Есть несколько способов:
Использовать нейросеть Seedance 2.5 в любом сервисе, где у вас есть подписка, я покажу на примере Syntx.
Заходим на сайт Syntx, выбираем раздел "видео", Seedance 2.5, 15 секунд, качество 720.
Далее загружаем видео из прикрепленного комментария, и 3 фотографии персонажей.
Вставляем промпт
References:
- @Video 1 as the movement reference, camera m…
С выходом нового инструмента Genjutsu появилась возможность красиво менять внешность и видео в любом исходнике.
Попробуйте себя в качестве героя любимого фильма, получится реалистично и красиво.
Достаточно загрузить кусочек с видео, в котором вы хотите быть, а также ваше фото.
В самом инструменте уже есть много трендовых шаблонов.
Попробовать можно ➡️ тут
Нейросеть называется Genjutsu.
🔥14❤6🍾1
Showing the 12 most recent of 51 posts we hold for @AIConcentrate. 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.
Posts edited after publishing
@AIConcentrate edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
8 August 2026
Posts recorded as deleted after publishing
We recorded 1 post on @AIConcentrate as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
17 October 2026
Most recent seen missing
17 October 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
1
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 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@AIConcentrate named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@video named in 4 posts, 24 September 2026 – 3 October 2026
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.
Архитектор Брендов • Ильяна Левина @ilyana_levina · 11,012#95
Read from Telegram’s recommendation API, most recently 6 September 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.
Нейро Ликбезик | Кирилл Безиков @kirillbezikov · 19,953 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 29 September 2026
NEIROSETKIN @neirosetkin · 19,942 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 28 September 2026
Беляк про нейросети @belyakAi · 31,319 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 7 September 2026
Руслан Гамзатов | AI маркетинг @AIGamzatov · 34,009 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 8 September 2026
Арон Закрия @aironzak · 118,394 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 3 September 2026
Егор Кузьмин XR @EgorKuzminxr1 · 21,334 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 23 September 2026
Смотри, Морозов и ИИ @mmmorozov · 62,857 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 23 August 2026
ananian.ai @ai_scince · 19,143 Telegram ranks this channel #8 of 61 here — alongside 60 others — read 2 October 2026
ИИ Представляет @iirepresent · 116,112 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 23 August 2026
SYNTX FAMILY @syntxfamily · 323,608 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 22 August 2026
Илья Филиппов. Лаборатория нейросетей @moremarketingisaid · 23,060 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 18 September 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,526 Telegram ranks this channel #30 of 91 here — alongside 90 others — read 29 August 2026
НейроНатали | Обучение Нейросетям @Neyronatali · 20,450 Telegram ranks this channel #35 of 93 here — alongside 92 others — read 30 September 2026
Serge_AI 1.0 @serge_ai · 56,484 Telegram ranks this channel #35 of 99 here — alongside 98 others — read 23 August 2026
ALPI Creators @creaitors_ua · 24,423 Telegram ranks this channel #40 of 77 here — alongside 76 others — read 14 September 2026
Артем Кей @artemmkey · 31,043 Telegram ranks this channel #51 of 84 here — alongside 83 others — read 6 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 77,813 Telegram ranks this channel #52 of 94 here — alongside 93 others — read 29 August 2026
Ксения Баранова | PRO ИИ-технологии🔥 @xb_prosmm · 62,863 Telegram ranks this channel #52 of 92 here — alongside 91 others — read 22 August 2026
Анжела Петкова | ИИ на практике @anjela_p · 78,960 Telegram ranks this channel #59 of 93 here — alongside 92 others — read 22 August 2026
NeuroADEPT @neuroadepts · 40,447 Telegram ranks this channel #60 of 85 here — alongside 84 others — read 29 August 2026
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,040 Telegram ranks this channel #61 of 90 here — alongside 89 others — read 25 August 2026
Киселёва тут | AI • режиссура • портфолио @kiselevatut · 22,947 Telegram ranks this channel #62 of 84 here — alongside 83 others — read 19 September 2026
ChatPlace @chatplaceio · 55,639 Telegram ranks this channel #69 of 85 here — alongside 84 others — read 25 August 2026
Канал Игоря Зуевича @zuevichigor · 39,738 Telegram ranks this channel #72 of 91 here — alongside 90 others — read 30 August 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Нейроконцентрат | нейросети, технологии” (@AIConcentrate), 30,635 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/AIConcentrate.
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.