➡️OpenArt теперь внутри ChatGPT В ChatGPT появился официальный плагин OpenArt, а это значит, что теперь не нужно переключаться между вкладками, генерировать и редактировать изображения и видео можно прямо в чате. 🔴Как работает: Устанавливаете плагин, подключаете аккаунт OpenArt и вводите @OpenArt в чате . Дальше просто описываете картинку или видео, которое хотите создать. Результат приходит в диалог и одновременно…

Channel
Вайб Working
@vvibeworking
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
312subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003898372904 |
|---|---|
| Type | Channel |
| Username | @vvibeworking |
| Description | Простым языком рассказываем как оптимизировать свои рабочие процессы с помощью ai и делимся актуальными новостями рынка. Навайбкодили что-то крутое? Поделитесь историей: @alexkuchmadshf |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/vvibeworking |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 07:45 | 312 | no change |
| 7 Aug 2026, 19:11 | 312 | first reading |
Engagement
20 posts held, back to 17 July 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 37.2%
- avg views ÷ 312 subscribers
- Avg views / post
- 116
- 20 posts measured
- Reaction rate
- 1.92%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 7 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 20 (17 July 2026 – 3 August 2026) |
| Views total | 2,319 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:45 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
- 73
- Videos
- 158
- Links
- 205
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 12m 33s
- Average length
- 44s
Measured directly from 17 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
15 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 66.7% | |
| ❤🔥 | 4 | 26.7% | |
| ⚡ | 1 | 6.67% |
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 7 of the 20 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 July 2026 to 3 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
➡️ Рисуем Мону Лизу с ИИ В TryAI провели эксперимент, в ходе которого Claude Fable 5, Claude Opus 5 и GPT-5.6 Sol получили один и тот же запрос: «Создайте HTML-файл, который анимирует процесс создания Моны Лизы слой за слоем, как это делал бы оригинальный мастер». Понятно, что никто не объяснял им, как работает масляная живопись. 🔴Что произошло: Модели самостоятельно воспроизвели ренессансную технику в правильном…
Здесь можете оценить разницу между Seedance 2.5 и Seedance 2.0
❤3
➡️ Смотрим анонс новой Seedance 2.5 Напомню, что 80% контента, который вы видите везде в коммерческих проектах было сгенерировано в Seedance 2.0 🔴В обновленной версии: ➡️ 30 секунд одним кадром, теперь за одну генерацию можно сделать 30 секунд непрерывного видео с сохранением персонажей, света и стиля, без склеек и артефактов. + Многошаговое продление позволяет создавать полноценные сцены, а не просто фрагменты …
➡️Превращаем любой документ в видео-подкаст HeyGen запустили у себя новую функцию, которая создает полноценные видео-подкасты просто из документов. Загружаете ссылку, PDF или тему и получаете готовый ролик с двумя ведущими, студийными сценами, сменой планов за минуты. 🔴В чем фишка: Большинство сервисов делают такое только с аудио. HeyGen сделали видео, полноценный формат для YouTube и соцсетей. Отправляем всем зн…
❤2
Сегодня получилось много про работу с аудио в ИИ, еще одна интересная новость:
➡️У каждого персонажа теперь будет свой голос ElevenLabs добавили в ElevenCreative новую функцию: подбор актеров озвучки для аудиокниг. 🔴Как это работает: Загружаете рукопись в ElevenCreative. Система автоматически сканирует текст, находит всех персонажей и их реплики, а затем подбирает для каждого подходящий голос из библиотеки ElevenLabs. Можно сразу прослушать, как звучат диалоги с разными голосами, и заменить …
❤1
➡️Генерируем видео на уровне Seedance, но в 3 раза дешевле Вышла MiniMax H3: новая модель для генерации видео, которая должна составить конкуренцию Seedance и по качеству, и по стоимости генерации. H3 - это универсальная модель, которая работает с текстом, изображениями, аудио и видео одновременно. Генерирует ролики до 15 секунд в 2K-разрешении с нативным звуком. Круто, что в ближайшие дни станет open-weight: раз…
➡️ Снимаем ИИ-видео с любимой машиной В последние дни в ленте вирусится новый прием от higgsfield, который позволяет заменять предметы на видео. Это касается не только машин, но именно с машиной выглядит особенно круто. 🔴Как сделать: Снимите ролик со своей машиной (пример прикрепил), далее найдите фото машины, которая должна быть в видео, откройте Seedance 2.0 в своем агрегаторе, введите промпт: Replace the car fr…
➡️Ищем лидов через ИИ (парсить данные потенциальных ЛПР с конференций через Perplexity мы научились, идем дальше) Попробуйте теперь вот этот сервис. Это, как заявляют создатели, убийца Apollo (сервиса, который ищет контакты по подписке за $4000 в год). Отличие в том, что Monid берет деньги за лид ,а не за подписку. 🤩Как работает: Агент ищет лиды, Monid роутит запрос к Apollo, LinkedIn, социальным сетям - куда ну…
➡️Создаем пояснительное видео в Simi Есть сервис, который по запросу сделает вам пояснительное видео с закадровым голосом. Можете прикрепить документ или текстом описать какую-то проблему, а Simi соберет ролик. Попросил для теста объяснить мне почему рыбы не летают по воздуху (если сделать нормальный запрос, то справится лучше). Попробовать можно здесь. Вайб Working — канал, где простым языком рассказываем как оп…
➡️Создаем игры с 1 промпта в Claude Opus 5 Разработчик из Китая попросил Claude Opus 5 написать шутер от первого лица и получил Call of Duty (ну почти). Всё, что вы видите на экране сгенерировано кодом. И всё это результат одного запроса к модели. Ужас. Проверить файл и понять, как он это собрал можете здесь (забавно, что назвал он это Claude of Duty). Перед нами еще один наглядный пример того, насколько сильно …
Showing the 12 most recent of 20 posts we hold for @vvibeworking. 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 — 218,462 of 1,151,006entries 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Вайб Working” (@vvibeworking), 312 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/vvibeworking.
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.