8 measurements spanning 20 days, net +74. 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 5,143–5,249 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 00:07
5,237
+9
24 Aug 2026, 21:14
5,228
+22
21 Aug 2026, 03:16
5,206
+51
17 Aug 2026, 18:47
5,155
-18
10 Aug 2026, 19:25
5,173
+11
8 Aug 2026, 01:28
5,162
-1
7 Aug 2026, 16:31
5,163
no change
7 Aug 2026, 16:23
5,163
first reading
Engagement
18 posts held, back to 4 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 7 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.1%
avg views ÷ 5,237 subscribers
Avg views / post
632
18 posts measured
Reaction rate
0.446%
reactions ÷ views · ER floor
Posts in window
18
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. It is computed over the 10 of 18 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
18 (4 August 2026 – 11 August 2026)
Views total
11,382
Reactions total
27
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:40 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
Video runtime
1m 17s
Average length
39s
Measured directly from 2 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
27 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 25.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7
25.9%
👍
7
25.9%
🔥
5
18.5%
👎
3
11.1%
❤🔥
1
3.70%
🌭
1
3.70%
💩
1
3.70%
🗿
1
3.70%
🤡
1
3.70%
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 10 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 27reactions 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 4 August 2026 to 11 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.
Smart Mesh Blend v2.0.2
Geometry Nodes-ассет для Blender, который автоматически сглаживает переходы между пересекающимися объектами, объединяя их нормали и материалы. Есть настройка расстояния и размытия, displacement в местах пересечения, отладка пересечений и удобный Setup Wizard.
🖼 Подробнее
⬇️ Скачать
#addon #Blender
Smart Fill v1.5.1
Аддон для Blender, предназначенный для быстрого и удобного заполнения выделенных областей при моделировании. Он автоматизирует рутинные операции с геометрией и позволяет быстрее закрывать отверстия и работать с выбранными участками модели.
🖼 Подробнее
⬇️ Скачать
#addon #Blender
3D Kitbashing library - guns attachments 01
Набор для 3D-моделирования без субдискретизации, предназначенный для быстрого прототипирования и проектирования.
UV-развертки включены. Ассеты заданы как ассеты Blender, поэтому файл можно включить в папку Asset Libraries или добавить в браузер ассетов напрямую.
🖼 Подробнее
⬇️ Скачать
#asset #Blender
Modular Ancient Architecture-Temple Asset Pack
19 модульных архитектурных элементов, которые помогут вам легко создавать ваши сцены
🖼 Подробнее
⬇️ Скачать
#asset #Blender
RBC v1.4.3 Pro | A Physics-Based Vehicle Rigging Addon Blender
Аддон для Blender, который позволяет быстро создавать физически корректный риг автомобилей и управлять их поведением через симуляцию. Он автоматически настраивает колёса, подвеску, столкновения и основные физические параметры, поэтому подходит для анимации движения машин и реалистичных автомобильных сцен.
Кратко: отличный инструмент для 3D-художников, р…
Seamless Painter v1.6.4
Аддон для автоматизации задач, который создаст для вас бесшовный холст. Теперь вы можете вручную рисовать бесшовные текстуры для своих проектов прямо в Blender.
Он особенно удобен, если вы хотите рисовать текстуры материалов с помощью Ucupaint или других аддонов для Blender, основанных на слоях.
Чтобы использовать аддон, просто добавьте бесшовный холст из меню добавления (Shift+A).
🖼 Подро…
Stylized Shaders v3.2.3 Full
Аддон для Blender, предназначенный для создания стилизованных и NPR-материалов без сложного ручного построения шейдеров. Он позволяет быстро получать эффекты в стиле hand-painted, toon и иллюстративного рендера, настраивая внешний вид материала через готовые параметры. Поддерживает Eevee и Cycles, а также современные версии Blender 4.1–4.5.
🖼 Подробнее
⬇️ Скачать
#addon #Blender
Showing the 12 most recent of 18 posts we hold for @ITCloudMaterials. 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 — 908,711 of 1,626,935entries 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.
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.
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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“Blender Materials” (@ITCloudMaterials), 5,237 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/ITCloudMaterials.
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.