🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Летнее фото😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 Ultra-realistic fashion beauty portrait of a stunning young Russian woman with soft golden-blonde hair, lying in a lush wildflower meadow, surrounded by pink and burgundy cosmos flowers and green foliage. Camera positioned directly above her face, intimate close-up composition…

Channel
MayaMultiHub Промты ИИ
@MayaMultiHub
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
190subscribers
+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 | -1003451534364 |
|---|---|
| Type | Channel |
| Username | @MayaMultiHub |
| Description | Попробовать Агента: @MayaMultiHubbot 👈 ⚡️ Генерирую всё: 4K фото , хиты в Suno 5.5. 🎤 Блогерам: музыка и эстетичные карусели. 💰 Зарабатывай с нами через реферальную систему. |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/MayaMultiHub |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 12:02 | 190 | no change |
| 7 Aug 2026, 19:33 | 190 | first reading |
Engagement
17 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.14%
- avg views ÷ 190 subscribers
- Avg views / post
- 15.5
- 17 posts measured
- Reaction rate
- 68.1%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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 5 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 17 (5 August 2026 – 8 August 2026) |
| Views total | 263 |
| Reactions total | 79 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 12:02 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
- 321
- Videos
- 117
- Links
- 184
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
- 2m 58s
- Average length
- 36s
Measured directly from 5 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
79 reactions across 5 posts, in 12 distinct kinds. The most used accounts for 20.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 20.3% | |
| 👍 | 14 | 17.7% | |
| 😁 | 10 | 12.7% | |
| ⚡ | 9 | 11.4% | |
| 🤣 | 8 | 10.1% | |
| 🔥 | 7 | 8.86% | |
| ❤🔥 | 3 | 3.80% | |
| 💋 | 3 | 3.80% | |
| 🙏 | 3 | 3.80% | |
| 🤗 | 3 | 3.80% | |
| 🤔 | 2 | 2.53% | |
| 💯 | 1 | 1.27% |
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 5 of the 17 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 79reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 5 August 2026 to 8 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
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Летнее фото😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 A cinematic film photograph of a close-up portrait of a female model with a single piercing blue-green eye visible and natural brows, her half face partially obscured by a cluster of blooming cosmos flowers in soft peach and pink, small white flowers and cream buttercups scatt…
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Летнее фото на природе😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 photorealistic high-fashion editorial image, vertical 4:5. A young adult fashion model sitting calmly on the center of one enormous pink flower growing above the clouds, the flower stem rising from below and disappearing into soft white clouds. Low-angle perspective…
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Летнее фото на природе😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 Photorealistic cinematic photo, 3:4 vertical frame, shooting from a very low point of grass/flowers (worm's-eye view) on a wide-angle lens-24-28mm. In the center of the frame, chest-deep, is a 25-year-old young woman with fair skin and dark brown hair, wearing a da…
🧿 Seedance 2.0 — одна из лучших моделей для генерации AI-видео стала ещё доступнее. Если ещё год назад качественный AI-ролик требовал множества попыток и компромиссов, то сегодня Seedance 2.0 позволяет получать результат, максимально приближенный к профессиональной видеосъёмке. Модель отлично понимает сложные промпты, создаёт плавые движения камеры, сохраняет персонажей, реалистично передаёт свет, физику и атмосфер…
💋3🤗3🙏3😁2
🔥Теперь в MayaMultiHub доступен Seedream 5.0 Lite — один из самых сильных AI-фотогенераторов от ByteDance. Если вы создаёте контент, рекламу, карточки товаров или просто хотите получать изображения, максимально похожие на настоящие фотографии — обязательно попробуйте эту модель. 💡 Чем Seedream 5.0 Lite отличается от большинства других нейросетей? ✅ Лучше понимает длинные и сложные промпты. Не нужно по несколько ра…
❤🔥2
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Летнее фото на природе для дочери😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем фото дочери и промт 👇 Изобрази эту девочку, не меняй её внешность и черты лица. фотография в природном лесопарке, маленькая девочка, сидит на траве, рядом на земле небольшая плетёная корзинка с круглой ручкой обвязана молочным платком завязана в бант, из картины выглядывают …
❤🔥1
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Романтика😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 создай изображение,максимально сохрани мою внешность и черты лица и такой такой стиль фото, максимальный реализм; вечер в ресторане на верхнем этаже с панорамными окнами и ночным городом на фоне. Я стройная, кадр по пояс, корпус развернут на 3/4, левое плечо ближе к камере; лев…
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Романтика😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и фото парня и промт 👇 Фотореалистичная вертикальная фотография на пляже на темном закате: внизу кадра крупным планом на влажном песке лежит смартфон, поставленный горизонтально, экран обращён к зрителю и показывает режим видеозаписи (интерфейс камеры с таймкодом 00:00:00 и красной кнопко…
🔠🔠🔠🔠🔠🔠🔠🔠🤩 🤪Доброе утро😘 1. Заходим в @MayaMultiHubbot 👈 2. «Создать изображение» и выбираем GPTImage 2 3. Вставляем свое фото и промт 👇 A hyper-realistic miniature portrait of a tiny person (me as a reference photo ) with an oversized, expressive head and realistic facial features, relaxing peacefully in a cozy wooden folding lounge chair placed on a modern bathroom countertop during golden morning sunlight. …
Я уволила монтажёра и SMM-щика и сэкономила 150 000 рублей в месяц. Потому что нашла нейросеть, которая делает всё за меня. ✍️ Пишет сценарии. 🎬 Создаёт Reels. 🖼 Делает карусели. 📲 Пишет посты. ✂️ Монтирует видео. 🚀 Публикует контент сразу во все соцсети. А дальше AI-продавец помогает прогревать аудиторию и вести её по воронке. 😄 И самое интересное... Это видео тоже снимала и монтировала не я. Всё сделала нейросеть. …
❤11⚡9🔥7🤔2
🔤🔤🔤🔤🔤🔤🔤🔤2️⃣🔤0️⃣ 🤨Катастрофа на сьёмках🤪 💡Как повторить: Идём в @MayaMultiHubbot /➜ Создать видео ➜ Seedance 2.0 ➜ вводим промпт (выставляем разрешение видео 720 к и формат 9:16): Vertical 9:16 handheld phone footage, one continuous take, no cuts, documentary behind-the-scenes style, shot from a high side angle on the scaffold walkway above a water tank inside a giant Hollywood soundstage. Background: tall blue chr…
Showing the 12 most recent of 17 posts we hold for @MayaMultiHub. 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.
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
@MayaMultiHub 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.
named in 1 post, 9 August 2026 – 9 August 2026
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.
“MayaMultiHub Промты ИИ” (@MayaMultiHub), 190 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/MayaMultiHub.
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.