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Нейроиллюстратор | Авторский канал

@dreamtoonTG

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,148subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001372231162
TypeChannel
Username@dreamtoonTG
Created23 April 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live26 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/dreamtoonTG

Growth

1,1471,1501,148.57 August 2026 — 1,150 subscribers8 August 2026 — 1,149 subscribers13 August 2026 — 1,150 subscribers19 August 2026 — 1,148 subscribers23 August 2026 — 1,147 subscribers26 August 2026 — 1,148 subscribers1,1487 August 202626 August 2026
6 measurements spanning 19 days, net -2. 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 1,147–1,150 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 15:551,148+1
23 Aug 2026, 07:041,147-1
19 Aug 2026, 11:131,148-2
13 Aug 2026, 06:591,150+1
8 Aug 2026, 00:071,149-1
7 Aug 2026, 04:011,150first reading

Engagement

20 posts held, back to 9 May 2026the 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
1.89%
avg views ÷ 1,148 subscribers
Avg views / post
21.7
3 posts measured
Reaction rate
6.52%
reactions ÷ views · ER floor
Posts in window
3
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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 August 2026
Posts held20 (9 May 20262 August 2026)
Views total65
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 04:01 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.

Reaction mix

14 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 78.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1178.6%
👌17.14%
👏17.14%
🔥17.14%

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 9 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 14reactions 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 9 May 2026 to 2 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

2 Aug 2026, 13:33 UTC19 viewsread 7 August 2026
Photo

🚀 Нужен честный взгляд со стороны. Наконец-то появился первый вариант книги, который самому захотелось читать. Не инструкция и не очередной курс про ИИ, а история с практикой, которая постепенно затягивает. Буду благодарен, если посмотрите и честно ответите всего на два вопроса: 1. Захотелось ли читать дальше после первых страниц? 2. Что бы вы улучшили? Любая критика сейчас для меня ценнее похвалы. Спасибо всем, к

2 Aug 2026, 03:47 UTC24 views2 reactionsread 7 August 2026
Photo

📖 Когда я только начинал изучать искусственный интеллект, мне не хватало одной простой вещи… Не очередного курса. Не сотен роликов на YouTube. И не длинных статей с непонятными терминами. Мне не хватало простого и понятного руководства, которое ответило бы всего на один вопрос: «С чего начать?» Именно поэтому несколько месяцев назад я решил написать такую книгу. Без сложной теории. Без обещаний «миллионов за неде

👍2

1 Aug 2026, 03:48 UTC22 views1 reactionsread 7 August 2026
Photo

🧠 Что нового в нейросетях — конец июля 2026 Топ языковых моделей сейчас: Claude Fable 5 — для сложных рассуждений и кода, GPT-5.6 — универсал для текста и аналитики, Kimi K3 от Moonshot AI — держит гигантский контекст и работает агентом, GigaChat 2 Max — лучший для русского языка. В картинках правит Nano Banana 2 — та самая модель, которой мы делаем лица персонажей здесь в канале. В видео — смена лидера: Seedance

👍1

29 Jul 2026, 02:57 UTC31 views1 reactionsread 7 August 2026
Photo

🆕 Что нового в нейросетях Claude Sonnet 5 от Anthropic (30 июня) — упор на кодинг и длинные рабочие сессии. Nano Banana 2 (та самая модель, которой мы вставляли твоё лицо в сцены) побила рекорды на LM Arena — отрыв в 171 ELO-очко от ближайшего конкурента, крупнейший разрыв за историю платформы. Товарные фото от неё уже неотличимы от студийной съёмки. Уже готовится Nano Banana 3 — на базе Gemini 4 Flash, с интеграц

👌1

26 Jul 2026, 11:28 UTC32 viewsread 7 August 2026
Photo

Пока лента листается бесконечно, кто-то читает по одной притче в день — и вспоминает о ней вечером, а не через 10 минут после прочтения. @mudriysolomon — короткие истории с моралью. Без рекламы, без «как заработать миллион за неделю», без продаж. Просто 2-3 минуты чтения, которые почему-то остаются в голове. Не лента советов. Истории, после которых иногда смотришь на свою ситуацию иначе. Загляни, если давно не чит

24 Jul 2026, 04:11 UTC36 views1 reactionsread 7 August 2026
Video

🔥 Феникс, которого никогда не было Ни один пиксель этого видео не снят камерой — весь ролик от первого до последнего кадра сгенерирован нейросетью по одному текстовому описанию. 5 секунд — а всматриваться в детали можно долго: как крыло собирается из пламени, как искры реагируют на движение воздуха. Год назад такое было фантастикой. Сегодня — обычный рабочий день в этом канале. @dreamtoonTG

👍1

23 Jul 2026, 06:39 UTC30 views1 reactionsread 7 August 2026
Photo

🤯 Загрузил одно своё фото — и вот я уже на экране стадиона перед битком забитыми трибунами. Без фотошопа, нейросеть сама достроила сцену. Промпт (Nano Banana / Kling): «This exact man from the reference photo shown smiling on a massive stadium jumbotron screen at night, close-up portrait on the huge LED screen, thousands of cheering fans below with phone flashlights, dramatic stadium floodlights, photorealistic, hig

👏1

22 Jul 2026, 14:47 UTC33 views1 reactionsread 7 August 2026
Photo

Один день, одна фотография — и искусственный интеллект перенёс человека куда угодно. Пляж с костром на закате. Пирамиды Гизы. Тадж-Махал. Эйфелева башня в огнях. Небоскрёбы Дубая. И не просто фото — живое видео с голосом и мимикой, будто человек реально там стоит и говорит. Технологии дошли до того, что реальность и нейросеть уже не всегда отличишь на глаз. @dreamtoonTG

🔥1

21 Jul 2026, 16:26 UTC28 viewsread 7 August 2026
Photo

Тренд, который сейчас взрывает ленты: превращаешь себя в гиганта, который гонится за собственной мультяшной мини-копией 😄 Промт — в комментариях ⬇️ @dreamtoonTG

21 Jul 2026, 16:16 UTC31 viewsread 7 August 2026
Photo

Тренд, который сейчас взрывает ленты: превращаешь себя в гиганта, который гонится за собственной мультяшной мини-копией 😄 Всё что нужно — своё фото и этот промт, закидываешь в ChatGPT (или другой генератор с загрузкой референса-фото): <pre>Фотореалистичный персонаж на эталонном изображении бежит на максимальной скорости, наклонившись вперед и эйфорически смеясь. Он одет в свою реальную одежду, как показано на этало

19 Jul 2026, 12:46 UTC32 viewsread 7 August 2026
Video

📽 Скоро в боте — не только фото То, что видите выше — тренд «Последний поцелуй», один из самых залетающих AI-форматов 2026 года. Совсем скоро в @videonych_bot появится генерация видео — сможешь создавать такие сцены сам, по своему промпту. Пока в разработке, но уже на подходе. Первыми узнают те, кто уже в боте: @videonych_bot

19 Jul 2026, 12:45 UTC31 viewsread 7 August 2026
Photo

📸 Такие картинки уже можно создавать бесплатно Пиши боту любой промпт — получаешь готовое изображение бесплатно, прямо сейчас. Видео пока в разработке — скоро сможешь создавать и такое (пример ниже, тренд «Последний поцелуй»), а пока в боте доступны только фото. @videonych_bot

Showing the 12 most recent of 20 posts we hold for @dreamtoonTG. 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 — 188,492 of 1,623,166entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 registered channels — 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.

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.

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 26 August 2026 — this entry's latest reading, not the date you are reading this.

“Нейроиллюстратор | Авторский канал” (@dreamtoonTG), 1,148 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/dreamtoonTG.

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.