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Channel

=thisComp.Layer

@thisCompLayer

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Cite this entry

144subscribers

+4 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-1002222211476
TypeChannel
Username@thisCompLayer
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live2 October 2026
Measurements held8
Confirmed unchanged1 time, most recently 2 October 2026
On Telegramt.me/thisCompLayer

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 25 September 2026 and assigned it the closest of 31 fixed categories, at 83% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1381441417 August 2026 — 140 subscribers8 August 2026 — 140 subscribers16 August 2026 — 138 subscribers23 August 2026 — 140 subscribers30 August 2026 — 141 subscribers9 September 2026 — 142 subscribers16 September 2026 — 143 subscribers2 October 2026 — 144 subscribers7 August 20262 October 2026
8 measurements spanning 56 days, net +4. 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 137–145 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Oct 2026, 04:18144+1
16 Sept 2026, 19:19143+1
9 Sept 2026, 14:57142+1
30 Aug 2026, 19:55141+1
23 Aug 2026, 07:18140+2
16 Aug 2026, 03:27138-2
8 Aug 2026, 22:31140no change
7 Aug 2026, 15:42140first reading

Engagement

9 posts held, back to 6 May 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 18s
Average length
17s

Measured directly from 8 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

158 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4931.0%
❤4025.3%
custom 58371948067988480803119.6%
😍2113.3%
custom 5456140674028019486116.96%
🤯42.53%
👎10.633%
😁10.633%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 9 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 158 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 6 May 2026 to 25 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
60
across the posts below
Posts paid on
9
of 9 we hold a reading for · 100%
Most on one post
20
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @thisCompLayer. 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 9 most recent posts we hold for this entry, published 6 May 2026 to 25 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.

Recent posts

25 Jul 2026, 10:36 UTC114 views10 reactions3 Starsread 8 August 2026
Video

➖На какое-то время отошел от 3D. Потому что залетел на микростоки. Пока лишь неделю пилю контент, изучаю тренды, пытаюсь освоиться. Посмотрим, что из этого получится 😎 ➖Лера написала небольшой софт, который перегоняет 3D в вектор(SVG). Потратили на него дней 4-5 🤗 ➖От себя старался простым языком объяснить, как работает камера, фокусное расстояние и боке, а Лера кодила и мучала нейронки, чтобы добиться адекватного …

🔥5custom 58371948067988480803🤯2

12 Jul 2026, 08:56 UTC197 views21 reactions5 Starsread 8 August 2026
Video

🍉 MPM(Material Point Method) – это новый солвер в Houdini, который одинаково хорошо считает жидкости, снег, грязь, тесто и разрушение твёрдых тел. 🍉 На выходе получается стабильная симуляция, даже если вещество сильно деформируется. Решил разбить Арбузик 🍉 В нем как раз корка и мякоть имеют разную плотность/твердость. 🍉 Залип с арбузом недели на 2. Долго возился с настройкой симуляции, тестил разные параметры и жд…

❤8🔥6😍4😁1custom 54561406740280194861custom 58371948067988480801

1 Jul 2026, 14:14 UTC199 views15 reactions3 Starsread 8 August 2026

Закончил отзыв, который писал в течении всего курса Easy Houdini 5.0. ⚡️Главный вопрос: «Стоит ли курс по Houdini от Родиона Жабрева своих денег?» 👇Внутри вас ждет вся подноготная 5-го потока. Погнали разбираться! TELEGRAPH DTF Если много букАв – СТРАШНО. Вот краткий пересказ от Gemini: Это сбалансированный и конструктивный отзыв, в котором нет слепого восхищения, прикрас и рекламы. Автор открыто говорит о недо…

🔥5custom 58371948067988480804❤3custom 54561406740280194862👎1

20 Jun 2026, 09:11 UTC178 views18 reactions20 Starsread 8 August 2026
Video

🪸 Была цель отработать Pyro модуль. Собрал таяние палки с дымком и ростом инстансов. 🪸 Сперва планировал сделать простое появление или исчезновение предмета с дымом. Но переход между двумя материалами + Pyro куда интереснее. 🪸 Приятно удивило, что несмотря на дым в сцене, редер оказался достаточно быстрым. Гораздо дольше времени занимали Volume Cache по ~20гб 🪸 Всем приятно просмотра и хорошего дня🙌

🔥7❤6custom 58371948067988480805

8 Jun 2026, 15:31 UTC199 views20 reactions2 Starsread 8 August 2026
Photo

💦 Водичка плещется 💦 Flip Solver динамически преобразует объект в жидкость из частиц. Флип – тот солвер в котором меняешь параметр и ждешь пока вьюпорт обновится, а потом ждешь кэш, чтобы просмотреть Флип – тот солвер в котором случайный ноль в Voxel Scale может крашнуть гудини😁 🌊 В рамках отработки модуля по Flip сделал твой волшебный, водный цветочек. 🌊 Добивал его с дополнительными туториалами, с нуля врядл…

❤9custom 58371948067988480806😍4🔥1

3 Jun 2026, 15:32 UTC196 views21 reactions6 Starsread 8 August 2026
Video

Потрогал мягкие тела, жижу и ткани в Houdini. 🟢 Для домашки по курсу повторил референс от Nick Medukha, решил собрать немного по-своему, но идея и морфинг от него. Ссылка на реф – https://www.instagram.com/p/Cu66YjKNVYs/ 🟢 По личным ощущениям Vellum в Houdini работает заметно быстрее и стабильнее, нежели подобные симуляции в синеме.

😍7custom 58371948067988480807🔥5custom 54561406740280194862

25 May 2026, 13:27 UTC191 views18 reactions8 Starsread 8 August 2026
Photo

💊 Взрывная ДНК 💊 💊Вот мы и добрались в Houdini до симуляций с твердыми телами. Тут уже сильно заметно в чем другие софты проигрывают. 💊Например такой сетап можно запилить в Cinema4D, но придется потратить больше времени на сборку и настройку. ➖ Решил продолжить работу над молекулой ДНК из прошлой домашки. Сделать а-ля взрыв с помощью велосити филдов. ➖ Форму молекулы немного упросил, чтобы осколки были крупнее. П…

❤6🔥6custom 58371948067988480803😍2custom 54561406740280194861

14 May 2026, 16:02 UTC182 views15 reactions5 Starsread 8 August 2026
Video

🧬 Был модуль по процедурному моделированию. Не особо люблю моделить, но домашку надо отработать. Собрал молекулу ДНК, с крутилками параметров – Регулируются высота, кол-во оборотов, кол-во спиралей; – Можно настроить тип и плотность внутренней сетки; – Добавить процедурные разрушения. Они сразу с анимацией В общем сотни вариантов в одном файле 🧬 В будущем планирую сделать с ней какой-нибудь приятный рендер, а мо…

❤8🔥4custom 58371948067988480802custom 54561406740280194861

6 May 2026, 15:23 UTC199 views20 reactions8 Starsread 8 August 2026
Photo

Домашняя работа 4 Как вы можете догадаться, ближайшее время вас ждут посты с домашками курса по Houdini. Был модуль по частицам, пока отрабатывал его собрал штук 8-10 разных сетапов в одном файле. В рендер ушел один, а к остальным обязательно вернусь позже. Глядя на референсы с частицами заметил некую схожесть их движения с танцами. Например балет или контемпорари. Решил, классно будет совместить танец частиц, с …

🔥10😍4custom 54561406740280194864🤯2

Showing the 9 most recent of 9 posts we hold for @thisCompLayer. 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.

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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“=thisComp.Layer” (@thisCompLayer), 144 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/thisCompLayer.

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.