Shorz — видеоредактор со встроенным MCP-сервером, через который Claude может монтировать ролики за вас. Вместо того чтобы вручную работать на таймлайне, вы просто описываете задачу текстом, а AI-ассистент выполняет её через подключение к редактору. INCUBE.AI | ПОДПИСАТЬСЯ

Channel
INCUBE.AI | Нейросети и не только
@incubeai_pro
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
14,446subscribers
-20 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002073552949 |
|---|---|
| Type | Channel |
| Username | @incubeai_pro |
| Description | Зарабатываем на ИИ с 2022 года: - Средний чек наших автоматизаций от 700к.р+ - Делимся готовыми автоматизациями и новостями в сфере ИИ Связь с администрацией: @incubeai Чат взаимопомощи : @incubeaichat ЮТ: https://www.youtube.com/@INCUBEAI |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/incubeai_pro |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:05 | 14,446 | -11 |
| 13 Aug 2026, 08:14 | 14,457 | -5 |
| 12 Aug 2026, 08:02 | 14,462 | -2 |
| 11 Aug 2026, 11:16 | 14,464 | +5 |
| 9 Aug 2026, 11:04 | 14,459 | -2 |
| 8 Aug 2026, 11:41 | 14,461 | -5 |
| 7 Aug 2026, 12:46 | 14,466 | no change |
| 7 Aug 2026, 12:35 | 14,466 | first reading |
Engagement
68 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 19 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.86%
- avg views ÷ 14,446 subscribers
- Avg views / post
- 702
- 68 posts measured
- Reaction rate
- 0.483%
- reactions ÷ views · ER floor
- Posts in window
- 68
- of 68 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 65 of 68 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 68 (5 August 2026 – 15 August 2026) |
| Views total | 47,703 |
| Reactions total | 223 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 10:02 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
- ≈1,420
- Videos
- ≈1,060
- Links
- ≈1,970
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
- 13m 53s
- Average length
- 28s
Measured directly from 30 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
223 reactions across 65 posts, in 8 distinct kinds. The most used accounts for 71.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 160 | 71.7% | |
| 👍 | 36 | 16.1% | |
| 🔥 | 16 | 7.17% | |
| 🤣 | 7 | 3.14% | |
| 👎 | 1 | 0.448% | |
| 😱 | 1 | 0.448% | |
| 🤔 | 1 | 0.448% | |
| 🥰 | 1 | 0.448% |
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 65 of the 68 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 223reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 5 August 2026 to 15 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.
Telegram Stars
- Stars received
- 21
- across the posts below
- Posts paid on
- 1
- of 68 we hold a reading for · 1%
- Most on one post
- 21
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @incubeai_pro. 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 68 most recent posts we hold for this entry, published 5 August 2026 to 15 August 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
OpenAI представила Ultrafast — ускоренный режим для GPT-5.6 Sol. Это тот самый Sol на Cerebras, которого ждали с конца июля: до 750 выходных токенов в секунду и до 14 раз быстрее стандартной обработки. Сама модель не изменилась, интеллект не урезают — меняется лишь железо, на котором она работает. Раньше за высокую скорость приходилось расплачиваться качеством и выбирать модель поменьше, а теперь в реальном времени …
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Google выпустили Gemini 3.7 Flash — всего через три недели после релиза 3.6 Flash. Новая модель на 50% дешевле предыдущей, лучше справляется с кодом и документами. Кроме того, она опережает Sonnet 5 и GPT-5.6 Terra в бенчмарках для разработки и автоматизации задач. Ее рекомендуют как продвинутый инструмент для работы и учебы. Она быстро и качественно делает презентации и генерирует сайты. Уже доступно в AI Studio.…
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Для Минимаксеров: ComfyUI Minimax-H3 FaceRefine Улучшатор маленьких лиц, которые обычно портятся. - tracks, crops, regenerates faces at native resolution to fix distance-blurring - YOLOv8 + InsightFace for identity-locked tracking - img2img latent injection + temporal denoise scaling - влезает в 12GB VRAM via GGUF. https://github.com/Carasibana/ComfyUI-H3-FaceRefine INCUBE.AI | ПОДПИСАТЬСЯ
❤1
Вайбкодеры, ваша главная боль УЖЕ закрыта: на GitHub выкатили имбу — Spec Kit. Она помогает нейросети сначала собрать структурированную спецификацию, и только потом переходить к коду. То есть теперь размытый промпт не развалит проект: • Сперва ИИ разбирается, что именно вы хотите построить; • Задаёт вопросы по недостающим деталям; • Выстраивает проект и приступает к программированию. Меньше времени уходит на починк…
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1000+ ПРОМПТОВ для разных задач в одном месте Внутри — полноценный мультитул: промпты для учёбы, кода, дизайна, Excel и даже для быстрой самодиагностики. Сохраняем — ТУТ INCUBE.AI | ПОДПИСАТЬСЯ
❤2👎1
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❤4👍3
Мемные миры Зацепило. Это не просто стандартное оживление мемов и I2V, а именно разметка и монтаж. Подробнее про воркфлоу и промпт тут: https://x.com/Flovaai/status/2087541198529683866 Там как бы: reference image → Flova задаёт режиссуру/движение камеры → Seedance 2.5 генерирует продолжение сцены → модель удерживает персонажей и перестраивает композицию → псина INCUBE.AI | ПОДПИСАТЬСЯ
❤4
Wan 3.0 начинают раскатывают по API Сейчас точно доступен: WaveSpeedAI — LIVE, Playground + API. 480p — $0.06/сек 720p — $0.12/сек 1080p — $0.24/сек. Pixazo: 480p — $0.043/сек 720p — $0.085/сек 1080p — $0.17/сек. wan.video — официальный Public Beta. Стоимость в публичном интерфейсе зависит от кредитной системы/аккаунта. VivaReel — Wan 3.0 уже доступен через пользовательский интерфейс. Фал и репликейт — coming s…
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❤3
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Showing the 12 most recent of 68 posts we hold for @incubeai_pro. 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 — 435,795 of 1,480,944entries 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.
“INCUBE.AI | Нейросети и не только” (@incubeai_pro), 14,446 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/incubeai_pro.
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.