4 measurements spanning 4 days, net -8. 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 8,218–8,228 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 10:06
8,219
-6
7 Aug 2026, 04:05
8,225
-2
6 Aug 2026, 10:18
8,227
no change
6 Aug 2026, 09:54
8,227
first reading
Engagement
18 posts held, back to 16 February 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.4%
avg views ÷ 8,219 subscribers
Avg views / post
2,420
1 post measured
Reaction rate
3.72%
reactions ÷ views · ER floor
Posts in window
1
of 18 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 July 2026
Posts held
18 (16 February 2024 – 28 July 2026)
Views total
2,420
Reactions total
90
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 16:39 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
222
Videos
248
Links
409
Lifetime counters from Telegram’s own channel header, read 12 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
17m 48s
Average length
1m 03s
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
1,313 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 63.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
838
63.8%
❤
313
23.8%
⚡
162
12.3%
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 18 of the 18 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 1,313reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 16 February 2024 to 28 July 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
3
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @too_motion. 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 18 most recent posts we hold for this entry, published 16 February 2024 to 28 July 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.
вы не ждали а я вернулся. и не с пустыми руками а со старыми добрыми сплатами, с пылу с жару, только из печи.
сплаты кстати полностью синтетические: вот оно ничего не было и вот он объект в 3д - крути и двигай, ломай и пересобирай как душе угодно. пусть и прозвучит пафосно но ощущаю как жизнь опять поделилась на до и после.
полтора года назад аналогичный эксперимент потерпел неудачу потому что видео модельки плохо …
колыбельная. опять мрачняк - ну такое настроение
мой новый личный фаворит среди опенсорсных видео моделей - LTXVideo+STG. по качеству конечно не Hunyuan, зато работает в 8 раз быстрее и к тому же умеет в img2vid
до сих пор до конца не верю что оживлятор картинок подобного уровня теперь доступен локально. все еще не сора и не клинг но уже заметно лучше чем SVD
за трек спасибо прекрасному Demien Stoker
кастомные но…
новогодний триллер в духе позднего СССР как напоминание о том что новый год подкрался незаметно
автор мрачного гиперреалистичного видео Aleksej Lotkov, ему также помогали Aleksei Olenchenko и Leo Erdman
В этой супер-короткометражке я хотел обыграть западный имидж СССР и нестандартный нарратив. Стиль под пленку 80-ых помог скрыть пару косяков и разгуляться воображению.
Использовали самые новые/передовые тулзы по тип…
Ну что, друзья? Встречайте FaceTracker for Blender (Beta)
Наше фирменное решение для трекинга лиц теперь доступно каждому прямо в Blender. Сгенерировать 3D модель лица по кадрам из видео, потрекать мимику, омолодить или состарить, добавить тату, 3D эффект или симуляцию — все это теперь легко сделать, не закрывая Blender!
Что вас ждёт:
– Быстрый и точный трекинг головы и мимики
– Встроенный FaceBuilder для создания …
если вам тоже было интересно как затанцевать макароны, держите воркфлоу для комфи а также свежий пошаговый видео туториал
магия происходит конечно же благодаря ip-adapter и qrcode-monster controlnet. а за хорошую скорость генерации отвечает lcm моделька. все необходимые ссылки есть в туториале
workflow на civitai
туториал
ig автора воркфлоу
@тоже_моушн
признаюсь, я не большой любитель аудио генераций. немного баловался с suno но вау эффекта не получил
однако с этим треком ситуация ровно наоборот - полное попадание в мои персональные музыкальные мурашки и желание слушать его на репите. автор - мой хороший друг, исполнитель - udio. не представляю как у Саши получилось так лихо укротить сетку и так сочно передать вайбы и звучание электронной музыки 2010х. некоторые "…
В Казани стартовал международный фестиваль медиаискусства NUR. На нем представлена инсталляция EYE, созданная в коллаборации четырех независимых хужодников из SILA SVETA: Ilia Balakin, EGO, Vsevolod Taran и Alexander Karelin.
Искать инсталляцию нужно во дворе «Национального музея», ее центральный элемент — сцена-ракушка — превращена в око искусственного интеллекта. Зрачок перед сценой олицетворяет ИИ, который с помо…
очень милый и визуально приятный кейс - ручная анимация цветных шейпов в бесплатной рисовалке Tagtool на айпаде с дальнейшей реалтайм обработкой в TouchDesigner с помощью StreamDiffusion
это дело рук VJ Suave - дуэта медиахудожников из Бразилии. подробней про проект можно почитать у Demien Stoker
StreamDiffusion - это ну очень быстрый txt2img: запросто выдает 15 fps на 4090 в разрешении 512. и это реально выглядит …
Pain - Push the pusher (Ai animation official music video)
Directed by: Dmitry Alekseev
Written and created: Dmitry Alekseev & Sergey Kozlov
Tools: Midjourney x Photoshop x After Effects x Premiere Pro
Character Voices: Elevenlabs
WATCH FULL VIDEO ON YOUTUBE
ура, вышел плагин Gaussian Splatting для After Effects от irrealix
это значит что ply файлы сплатов созданные в LumaAI, Postshot, Scaniverse, Polycam или Nerfstudio теперь можно импортировать в афтер и встраивать в привычный пайплайн. благо количество добавленных в плагин плюшек, эффектов и настроек это позволяет
для тех кто не готов платить - можете протестить бесплатный плагин от Postshot но он не умеет и трети о…
небольшой тизер-анонс двух долгожданных инструментов для 3DGS. видео выше сделано с их помощью.
первый - плагин для AE. чтобы импортировать сплаты в афтер, использовать по классике параллельно с текстом и любыми 3д слоями, а еще лихо навешивать на сплаты различные эффекты. считанные часы до релиза!
второй - аддон для Блендера. позволяет "запечь" 3д сцену - со всеми материалами и освещением в формат ply, чтобы дальш…
давненько не брал я в руки сплатов)
а если честно то особо и не погружался в эту тему глубоко. чтобы исправить это недоразумение, вашему вниманию:
внезапный обзор на бесплатные гауссиановы сплаты
Scaniverse
приложение для iOS, обучается быстро, заметно нагревает айфон, на экранчике выглядит красиво но для продакшна не годится
LumaAI
в представлении не нуждается, работает с телефонов и в браузере, выдает стабильно …
⚡29🔥13❤11
Showing the 12 most recent of 18 posts we hold for @too_motion. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 1,112,147 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
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 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“тоже моушн” (@too_motion), 8,219 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/too_motion.
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.