Привет, я Вика - AI-creator. Делаю в ИИ рекламы топ брендам. А ещё, объединяю коллег «по цеху» в сообщество - смотри закреп в этом канале. Там инфа про наш клуб для AI-новичков (старейший в СНГ)
Связь @Viktorisss
РКН: https://clck.ru/3Uwbar
Created
Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
9 measurements spanning 7 days, net +2,521. 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 35,057–38,334 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:16
37,956
+1,208
13 Aug 2026, 12:48
36,748
+151
12 Aug 2026, 15:44
36,597
+214
11 Aug 2026, 12:35
36,383
+203
10 Aug 2026, 15:24
36,180
+180
9 Aug 2026, 14:14
36,000
+227
8 Aug 2026, 10:28
35,773
+338
7 Aug 2026, 18:15
35,435
no change
7 Aug 2026, 18:06
35,435
first reading
Engagement
48 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.81%
avg views ÷ 37,956 subscribers
Avg views / post
3,340
48 posts measured
Reaction rate
0.657%
reactions ÷ views · ER floor
Posts in window
48
of 48 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 14 August 2026
Posts held
48 (4 August 2026 – 14 August 2026)
Views total
160,460
Reactions total
1,054
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 01:23 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.
What this channel posts
Photos
≈1,620
Videos
≈526
Links
≈1,230
Lifetime counters from Telegram’s own channel header, read 15 August 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
8m 08s
Average length
38s
Measured directly from 13 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
1,054 reactions across 48 posts, in 8 distinct kinds. The most used accounts for 57.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
607
57.6%
🔥
193
18.3%
😱
65
6.17%
💯
62
5.88%
👍
58
5.50%
👏
42
3.98%
😢
14
1.33%
😁
13
1.23%
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 48 of the 48 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 1,054reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 4 August 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.
🤨 У ВАС ПОЕДЕТ КРЫША, РЕБЯТА
Если вы узнаете, что это ИИ-видео (и голоса, и музыку тоже) я сгенерила за 15 минут в одной нейронке 😱
Ловите полный туториал ⬇️
1. Для начала создаем карточки персонажей (например, в нейронке Image 2 или NanoBanana), можно даже просто одно фото, где четко видно лицо…
кстати, работать с днк ии-персонажа можно научиться у нас в клубе (жми)
2. Далее с помощью чатика гпт пишем промптик,…
😐 ЭТО П%ЗД*Ц, если подумать…
4 человека за последнее время мне написали, что больше не ищут работу по найму потому, что теперь зарабатывают на ИИ 🤯
И все они были в нашем клубе для ИИ-креаторов новичков (в отдельном тг-канале)
Автор этого видео (в этом посте) - @popovichk_aa недавно в чатике клуба поделилась вот такой работой 🐚
Ошибки есть (и мы с куратором в чатике клуба их разобрали), но, честно, меня так уми…
⚡️Suno представила Studio 2
В версии 2.0 появилась поддержка MIDI: теперь можно подключать MIDI-клавиатуру, записывать и редактировать партии прямо на таймлайне, работать со встроенным синтезатором и использовать MIDI-клип как промпт для генерации нового аудио.
Ключевое нововведение — Chat Bar. Теперь со студией можно взаимодействовать через обычные текстовые команды: попросить создать вокал или инструмент, собрать…
⚡️Google представила Gemini 3.7 Flash спустя всего три недели после выхода Gemini 3.6 Flash
Новую версию оптимизировали для программирования и работы ИИ-агентов. При этом на старте её стоимость вдвое ниже первоначальной цены Gemini 3.6 Flash.
| наш клуб
📝 Большой материал по новой безумной нейронке для реалистичных видео-генераций Seedance 2.5 уже вышел у нас в клубе в отдельном тг-канале: вот (жми) подробности про этот клуб
⚡️Higgsfield теперь доступен прямо в ChatGPT
Пользователи могут запускать из чата Seedance 2.5, Seedream 5.0 Pro, GPT Image 2.0 и Kling 3.0. При этом Higgsfield уже объединяет несколько генеративных моделей для создания изображений и видео на одной платформе.
| наш клуб
😳 АФИГЕТЬ: С помощью этого вы узнаете у своего Чата гпт, что он *тайно знает о вас + он расскажет вам, как сместиться в нужную «ветку» вашей реальности
Просто вводите эти три промпта по порядку в Чатик гпт и все… 🐚
Первый:
Основываясь на каждом разговоре, который у нас когда-либо был, расскажи мне пять вещей, которые ты узнал обо мне, о которых я никогда не рассказывал тебе напрямую. Не сдерживайся, чтобы угодить …
⚡️Модели OpenAI и Anthropic снова попытались взломать реальные системы
Тестировщики зафиксировали новые случаи опасного поведения ИИ. В одном из них агент пытался добавить вредоносный код в открытый проект. Для этого он создавал вымышленные онлайн-личности и оказывал давление на владельца репозитория.
При этом никакого реального ущерба модели не причинили. И в этот раз они не выбирались из изолированной среды — дос…
😶 РАЗБИРАЕМ ВАШ ВОПРОС: Переоценка ИИ (ожидание, что модель “сама сделает красиво”)
«Ну почему эта долбанная нейронка не понимает, чего я хочу?!»… произносили в голове такое? Да конечно произносили… может даже и в слух (и по многу раз)
AI — не художник и не супергерой, который читает мысли. Это машина, которая вооообще не знает контекста. Люди ждут магии и разочаровываются, думая, что “у них не получается”. На само…
⚡️Black Forest Labs официально представила FLUX 3 Video
Новая мультимодальная модель объединяет работу с изображениями, видео и аудио в одной архитектуре.
FLUX 3 может генерировать ролики по текстовому описанию, изображению или нескольким ключевым кадрам. Одна генерация позволяет создать до 20 секунд видео с разными сценами и ракурсами.
Аудио создаётся одновременно с видеорядом. Модель поддерживает речь на несколь…
❤14🔥3👍2
Showing the 12 most recent of 48 posts we hold for @podsobka_creatora. 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 — 578,542 of 1,478,351entries 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 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.
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.
“Подсобка AI креатора” (@podsobka_creatora), 37,956 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/podsobka_creatora.
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.