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Channel

Slavnov Graphics

@slavnov_graphics

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

368subscribers

+1 since we began measuring on 6 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001653428880
TypeChannel
Username@slavnov_graphics
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live18 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/slavnov_graphics

Growth

3663683676 September 2026 — 367 subscribers7 September 2026 — 367 subscribers9 September 2026 — 366 subscribers18 September 2026 — 368 subscribers6 September 202618 September 2026
4 measurements spanning 12 days, net +1. 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 366–368 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 07:21368+2
9 Sept 2026, 04:16366-1
7 Sept 2026, 22:22367no change
6 Sept 2026, 18:17367first reading

Engagement

20 posts held, back to 2 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.8%
avg views ÷ 368 subscribers
Avg views / post
69.0
1 post measured
Reaction rate
4.35%
reactions ÷ views · ER floor
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 August 2026
Posts held20 (2 November 202526 August 2026)
Views total69
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 22:22 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
7m 14s
Average length
29s

Measured directly from 15 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

199 reactions across 20 posts, in 14 distinct kinds. The most used accounts for 25.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5025.1%
🔥3718.6%
👍3417.1%
❤‍🔥2010.1%
👎157.54%
🤗126.03%
💯115.53%
👏63.02%
😁52.51%
🤔31.51%
🤝21.01%
🥰21.01%
🎉10.503%
👾10.503%

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 20 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 199 reactions 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 2 November 2025 to 26 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

26 Aug 2026, 16:20 UTC69 views3 reactionsread 7 September 2026
Video

Numbers Продолжаю ковыряться в RBD. Вообще, мне нравится делать RBD-симуляции, но когда в ленте попадаются симуляции ткани или частиц, сразу хочется переключиться на них, даже не доделав анимацию, которой занимаюсь. Но я себя останавливаю с мыслью, что до них я обязательно доберусь, но чуть позже Озвучку пытался сгенерировать в suno, но получались, то целые эпичные треки, то голос не такой. В общем отказался от ген

❤‍🔥1👍1🔥1

8 Aug 2026, 17:08 UTC161 views11 reactionsread 7 September 2026
Video

Jelly Beans Практиковал RBD Emit в Гудини. Не получалось сделать один момент с прокси геометрией (вариант сложнее), в итоге сделал попроще, главное заработало. Долго искал звуки для саунд дизайна, ничего не нашёл, поэтому решил записать сам. Взял банку, повращал (как это было можно посмотреть в видео выше) и взял звук оттуда. Звуки крышки тоже сам записал.

🔥82👍1

7 Aug 2026, 18:45 UTC137 views1 reactionsread 7 September 2026
Video

Чем я занят в полпервого ночи. Есть предположение зачем я это делаю?

😁1

8 Jun 2026, 17:17 UTC243 views6 reactionsread 7 September 2026
Photo

Вот и мне прилетел такой комментарий, ачивка получена 🏆

😁4❤‍🔥2

7 Jun 2026, 08:12 UTC220 views8 reactionsread 7 September 2026
Video

Небольшой making of

🔥51❤‍🔥1👏1

3 Jun 2026, 15:49 UTC217 views6 reactionsread 7 September 2026
Video

Размотал катушку Оказывается, чтобы заставить окружность катиться по какой-либо траектории, нужно понимать, что такое кватернион. Я уяснил самую простую и необходимую часть: кватернион хранит информацию о повороте - вокруг какой оси и на какой угол нужно повернуть объект. Пример, как это выглядит в VEX (VEX - это язык программирования в Гудини): vector axis = {0,1,0}; float angle = radians(90); p@orient = quaternio

🔥41❤‍🔥1

20 May 2026, 16:50 UTC211 views15 reactionsread 7 September 2026
Video

Скажем так, я попробовал разобраться с UV в гудини, но как будто бы заранее знал, что рендерить буду в блендере, поэтому можно сказать, что не особо то и разобрался. Ну не могу я привыкнуть к солярису (не Hyundai) Почему-то качество зашакалилось, в комменты скинул файлом

11👍4

11 May 2026, 17:02 UTC231 views7 reactionsread 7 September 2026
Video

Как легко и быстро меняется сетап в Houdini Я собрал суперпростой RBD сетап, с базовыми настройками. В видео показано, как легко заменить один объект на другой. Если же в каком-то месте хочется больше кусков, то можно добавить в это место больше точек, на которых образуются куски Я добавил сферу, раскидал по её объёму точки и добавил их к уже существующим. Как можно видеть, это так же просчитывается и работает на в

🔥4👍3

10 May 2026, 14:47 UTC210 views10 reactionsread 7 September 2026
Photo

Немного о RBD Видел(а), как в кино красиво рушатся здания? Давай разберём, как это делается. Шаг 1 - Дробим объект на куски Сначала цельный объект нужно разбить на отдельные фрагменты. Куски могут быть равномерными или хаотичными - зависит от задачи. Шаг 2 - Делаем внутренности Если просто разбить куб на кусочки, то внутренняя часть этих кусочков будет плоской. Это выглядит нереалистично, хотя может быть такое, чт

❤‍🔥7👍2👏1

30 Apr 2026, 15:29 UTC209 views11 reactionsread 7 September 2026
Video

Лоб в лоб 😵‍💫 Когда хотел просто столкнуть уток, но что-то пошло не так. В этом посте я писал про бесконечные улучшения анимации и добавления в неё чего-то нового, чтобы стало прикольнее. Это меня не обошло и тут, но я заставил себя остановиться и выложить как есть, потому что, если бы я допиливал работу, то прошло бы куча времени. Подумал, что лучше я потрачу его на создание ещё 2-3 анимаций

9🔥2

Showing the 12 most recent of 20 posts we hold for @slavnov_graphics. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

3D SHVYREV | Blender
@shvyrev_3d · 30,957
Telegram ranks this channel #13 of 79 here — alongside 78 others — read 6 September 2026
🇩🇪 Tony Kador: Германия без мифов - работа, пособия, интеграция
@tonykador · 24,130
Telegram ranks this channel #48 of 65 here — alongside 64 others — read 17 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Slavnov Graphics” (@slavnov_graphics), 368 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/slavnov_graphics.

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.