А вы знали, что теперь нейросети умеют ещё и монтировать видео? И это не просто склейка кадров! Анимированные коллажи, движение объектов, переходы, титры, эффекты — всё это можно создавать с помощью Claude и ChatGPT. В этом ролике я показала свой путь от бухгалтера до эксперта по нейросетям. И заодно попробовала новый подход к монтажу. Представляете, сколько всего можно делать для блогов, бизнеса и личных историй…

Channel
Сашкин дом ❤️ Нейросети | Продвижение
@beauty_test
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
8,090subscribers
-249 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 | -1001483328526 |
|---|---|
| Type | Channel |
| Username | @beauty_test |
| Description | Привет, Я Саша Козырева Написать мне: https://t.me/Shurka_K Бот для генерации: https://t.me/VeoSeeBot?start=KcLQBWOm Мой инст: https://www.instagram.com/kozyreva.smm Обучение по нейросетям: https://kozyrevasmm.com/p/intensive/ |
| Created | 3 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/beauty_test |
Topic
Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 13:26 | 8,090 | -11 |
| 2 Nov 2026, 17:39 | 8,101 | -3 |
| 30 Oct 2026, 17:54 | 8,104 | -17 |
| 27 Oct 2026, 21:06 | 8,121 | -10 |
| 25 Oct 2026, 02:07 | 8,131 | -12 |
| 21 Oct 2026, 18:36 | 8,143 | -18 |
| 18 Oct 2026, 09:38 | 8,161 | -5 |
| 15 Oct 2026, 03:57 | 8,166 | -7 |
| 11 Oct 2026, 21:57 | 8,173 | -31 |
| 5 Oct 2026, 06:58 | 8,204 | -25 |
| 26 Sept 2026, 13:40 | 8,229 | -19 |
| 17 Sept 2026, 02:59 | 8,248 | -14 |
| 13 Sept 2026, 05:56 | 8,262 | -8 |
| 9 Sept 2026, 03:16 | 8,270 | -31 |
| 3 Sept 2026, 09:48 | 8,301 | -19 |
| 30 Aug 2026, 17:36 | 8,320 | -6 |
| 27 Aug 2026, 08:15 | 8,326 | -7 |
| 23 Aug 2026, 22:03 | 8,333 | -11 |
| 20 Aug 2026, 12:12 | 8,344 | -8 |
| 17 Aug 2026, 13:07 | 8,352 | first reading |
Engagement
91 posts held, back to 5 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 29 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.49%
- avg views ÷ 8,090 subscribers
- Avg views / post
- 282
- 11 posts measured
- Reaction rate
- 2.21%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 91 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 9 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 91 (5 August 2026 – 5 November 2026) |
| Views total | 3,107 |
| Reactions total | 61 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 11:35 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
- ≈9,610
- Videos
- ≈16,200
- Links
- ≈2,110
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
- 27m 47s
- Average length
- 21s
Measured directly from 80 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
1,698 reactions across 85 posts, in 9 distinct kinds. The most used accounts for 45.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 767 | 45.2% | |
| 🔥 | 532 | 31.3% | |
| 🥰 | 215 | 12.7% | |
| 👍 | 79 | 4.65% | |
| 🙏 | 46 | 2.71% | |
| 💯 | 33 | 1.94% | |
| 😍 | 13 | 0.766% | |
| 🤩 | 10 | 0.589% | |
| 😁 | 3 | 0.177% |
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 85 of the 91 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 1,698 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 91 most recent posts we hold, published 5 August 2026 to 5 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
- 2
- across the posts below
- Posts paid on
- 1
- of 89 we hold a reading for · 1%
- Most on one post
- 2
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @beauty_test. 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 91 most recent posts we hold for this entry, published 5 August 2026 to 5 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 11 posts held from the last 30 days (9.09%) 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).
А вот эта работа моей ученицы Риммы растрогала меня чуть ли не до слёз 🥹❤️ Римма сначала прошла у меня полное обучение, а затем пришла ещё и на «Нейроистории». И знаете, что особенно приятно? Я вижу, как с каждой новой работой она растёт, как всё лучше получаются персонажи, анимация, сами истории. И вот ради таких моментов я особенно люблю то, чем занимаюсь! С огромным удовольствием делюсь с вами её новой работой…
❤11🔥5🙏1
Саша, доброго дня! Я прям вот сразу хочу сказать космическое спасибо за этот курс! 🚀🚀🚀 Я, значит, с начала сентября тут, выжидала 2 месяца, уроки даже не смотрела, а тут меня бомбануло. Так мощно вывели меня определенные люди своей медлительностью и нежеланием помочь и сделать нужные нам для продвижения материалы, что я взяла и за двое суток изучила 13 уроков и сделала в итоге 2х минутный ролик. 😬😮💨 Как меня это зар…
👍5
Хочу сегодня поделиться с вами работами своих учениц ❤️ Начну с Дианы. Она прислала мне такой эмоциональный отзыв! 🥹 И именно благодаря таким сообщениям я в очередной раз понимаю, что нахожусь на своём месте и занимаюсь любимым делом. А ещё такие истории доказывают: когда человек действительно хочет научиться чему-то новому, он не просто покупает обучение и откладывает его на потом. Он смотрит уроки, пробует, экспе…
🔥4❤1👍1
ОТКРЫВАЮ ЗАПИСЬ НА НОВЫЙ ПОТОК «НЕЙРОСПРИНТА»! Старт обучения — 16 ноября! Если вы давно хотели разобраться в нейросетях, но не знали, с чего начать, или уже пробовали что-то создавать, но пока не получается добиться нужного результата, приглашаю вас на обучение! «Нейроспринт» — это практическая программа, где мы учимся не просто нажимать кнопки, а понимать, как работают нейросети, и создавать с их помощью действит…
❤1🙏1
Нужна ваша помощь! ❤️ Думаю запустить здесь новую рубрику — «Нейросети в вашей нише». Хочу на конкретных примерах показывать, какой интересный контент можно создавать с помощью нейросетей для разных профессий и бизнесов. Не только красивые картинки и мультики 😉 Поэтому расскажите в комментариях, чем вы занимаетесь? Может, у вас свой бизнес, вы эксперт, блогер, начинающий или уже действующий AI-креатор? Или только …
Делюсь с вами классной идеей для видео, которую можно повторить с подружкой или сестрой Как повторить: 🍣Отрываем бот syntx или сайт syntx 🍣Переходим на вкладку ТРЕНДЫ, где хранятся куча трендовых шаблонов (этот шаблон сейчас в разделе "С вами") 🍣Вам останется только загрузить: 4 фото (фото где видно ваше лицо и лицо вашей подруги, и фото где вы и подруга в конечных образах) Свои примеры фото отправлю в комментар…
🔥2
КОНСТРУКТОР СЮЖЕТА ДЛЯ AI-ИСТОРИИ Есть идея для мультфильма или AI-видео, но пока непонятно, что происходит в начале, чем заинтересовать зрителя и как закончить историю? Подготовила для вас бесплатный гайд, который поможет собрать основу сюжета. Внутри: ✨ вопросы, чтобы определить героя, его цель и препятствие; ✨ варианты хуков и шаблоны для первых секунд; ✨ простая схема развития истории; ✨ ориентиры по количеств…
❤4
Как превратить обычную упаковку товара в эффектную AI-рекламу? Показываю пошагово, как это сделать 👇 ШАГ 1. Создаём первый кадр ▪️Переходим в бот ▪️Выбираем Изображение → GPT Image ▪️Загружаем фотографию своего товара и вставляем промпт: Промпт №1: «Создай премиальный рекламный кадр с товаром из загруженного изображения. Товар эффектно парит в воздухе на красивом фоне, соответствующем его стилю. Кинематографичное …
❤6
предвещая вопросы в личку : да, такие видео я делаю на заказ тоже 😊 Написать мне: @Shurka_K
🔥5
❤️ Когда нейроистория трогает до слёз… Сегодня создала для своей подруги небольшой фильм об истории нашей дружбы. От школьных лет до сегодняшнего дня. Вместила в него наши воспоминания, важные моменты и события, которые мы пережили вместе. А когда отправила видео Наде, получила вот такую реакцию 🥹 Здесь важны не спецэффекты и не количество просмотров, а эмоции, которые испытывает люди, когда видят ожившие моменты с…
🔥11❤3
ЕЖЕДНЕВНАЯ РУБРИКА ❤️ Реакции = спасибо, Саша 🍠Для связи: @Shurka_K Поделиться каналом: КАНАЛ "САШКИН ДОМ"🏡 видео взято из 🌐
❤3
Showing the 12 most recent of 91 posts we hold for @beauty_test. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
@goooddaysssss · 40,381
Telegram ranks this channel #20 of 59 here — alongside 58 others — read 29 August 2026
@stories_club · 20,202
Telegram ranks this channel #22 of 64 here — alongside 63 others — read 28 September 2026
@scenariistoris · 22,458
Telegram ranks this channel #32 of 78 here — alongside 77 others — read 19 September 2026
@vibe_stories · 56,086
Telegram ranks this channel #32 of 57 here — alongside 56 others — read 23 August 2026
@pro_vizyal · 18,930
Telegram ranks this channel #39 of 58 here — alongside 57 others — read 2 October 2026
@topchikstory · 27,674
Telegram ranks this channel #42 of 62 here — alongside 61 others — read 9 September 2026
@stories_gaid · 19,759
Telegram ranks this channel #50 of 55 here — alongside 54 others — read 28 September 2026
@delaimem · 27,167
Telegram ranks this channel #53 of 74 here — alongside 73 others — read 11 September 2026
@smm_combo · 38,046
Telegram ranks this channel #53 of 71 here — alongside 70 others — read 31 August 2026
@igripp · 26,450
Telegram ranks this channel #61 of 71 here — alongside 70 others — read 11 September 2026
This channel appears in 10 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“Сашкин дом ❤️ Нейросети | Продвижение” (@beauty_test), 8,090 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/beauty_test.
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.