Channel
@movingvertices
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
396subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002129357574 |
|---|---|
| Type | Channel |
| Username | @movingvertices |
| Description | Канал про 3D, обучение, картинки, вдохновение. https://www.patreon.com/kovalevskyalex https://boosty.to/movingvertices |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/movingvertices |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:50 | 396 | no change |
| 7 Aug 2026, 16:47 | 396 | first reading |
10 posts held, back to 28 January 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 pageof 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 10 posts for this entry, the most recent from 21 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 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.
Measured directly from 3 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.
140 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 46.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 65 | 46.4% | |
| 🔥 | 54 | 38.6% | |
| 👍 | 8 | 5.71% | |
| 💩 | 6 | 4.29% | |
| 🦄 | 6 | 4.29% | |
| 💯 | 1 | 0.714% |
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 10 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 140reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 28 January 2026 to 21 May 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.
«Ла-Ла Блендер» только в Типомании 🐈⬛ С 3 июня по 8 июля на курсе «Цифровая лепка» будем лепить людей, животных, цветы — или все сразу — в Blender. Курс подойдет даже тем, кто никогда не открывал 3D. Можно приходить вместе с детьми. Набор открыт 🥰
❤10🔥5🦄3💯1
Новая короткометражка от Blender Foundation: https://www.youtube.com/watch?v=l5OZu-IrXpw
❤4
https://www.youtube.com/watch?v=1qLlrqZrPbA в блендере теперь есть AI-ассистент, опенсорс, бесплатный, работает локально(только места под него много надо)
❤8
пятнадцатиминутное упражнение. стараюсь бить себя по рукам и не заниматься полишингом это чем-то сродни наброскам модели в динамике, нужно поймать момент, ощущение, и прилепить это к листу экономным способом. идеал тут в том, чтобы сделать ровно столько, сколько ты можешь. и отпустить все остальное
❤17🔥11🦄3
Вышел новый блендер! 🥳🥳 Много очень вкусных штук. Лично мне очень интересен новый рэйкаст в материалах Смотреть тут: https://www.blender.org/download/releases/5-1/
❤13
Устроил небольшое соревнование между имеющимися софтами. Задача простая: погнуть листик. Из CAD-ов справились SolidWorks и Fusion360(оба платные, солид вообще не мой), Plasticity и Shapr3D не смогли. Из традиционных 3d программ справляются примерно все, но блендер делает это наиболее быстро и удобно. Необходимое уточнение — нужно было именно погнуть плоскую деталь, а не замоделить уже изогнутую.
👍6
В некотором царстве, в некотором государстве жила-была мастерица Лиза Бенеш, захотела она овладеть искусством Блендера. Услышала она про мудреца Александра Ковалевского из школы Типомании, слыл он мастером опытным. Отправилась Лиза к нему в ученицы, прошла все испытания и научилась у него секретам мастерства. Стала Лиза искусницей прославленной и творила чудеса цифровые. На курсе Лиза слепила целую серию героев, зна…
🔥15❤7👍2
А меж тем Adobe провела очередной акт стрельбы по собственным коленям. Речь идет об отмене Animate(ранее был известен как Macromedia Flash). Они его не просто закрывают. Они лишают пользователей доступа к собственным проектам. Запасаемся попкорном, будет интересно🍿🍿🍿 Ну и напомню, что есть такая штука как Rive, которая вполне себе достойная альтернатива
💩6
Очень крутая интеграция Moho и Blender. В принципе такое можно собрать и только в блендере, но так гораздо удобнее. Источник.
🔥23
У меня для вас замечательная новость! Лёша Покидышев создал канал, куда пишет свои(весьма дельные) мысли. Категорически рекомендую читать: все со смыслом, по делу и не занудно Ссылка тут: @space_n_time
❤6
Showing the 10 most recent of 10 posts we hold for @movingvertices. 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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Kovalevsky Alex — Moving Vertices” (@movingvertices), 396 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/movingvertices.
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.