Telegram RegisterThe public register of Telegram

Channel

PIXELY

@catPixely

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

9,631subscribers

+8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002096539479
TypeChannel
Username@catPixely
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/catPixely

Growth

9,6239,6329,627.57 August 2026 — 9,623 subscribers7 August 2026 — 9,623 subscribers7 August 2026 — 9,624 subscribers10 August 2026 — 9,632 subscribers13 August 2026 — 9,631 subscribers9,6317 August 202613 August 2026
5 measurements spanning 6 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 9,622–9,633 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:139,631-1
10 Aug 2026, 14:529,632+8
7 Aug 2026, 23:039,624+1
7 Aug 2026, 12:319,623no change
7 Aug 2026, 12:239,623first reading

Engagement

24 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.01%
avg views ÷ 9,631 subscribers
Avg views / post
868
24 posts measured
Reaction rate
0.936%
reactions ÷ views · ER floor
Posts in window
24
of 24 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 12 August 2026
Posts held24 (2 August 202612 August 2026)
Views total20,832
Reactions total195
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:57 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
3m 55s
Average length
59s

Measured directly from 4 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

195 reactions across 24 posts, in 5 distinct kinds. The most used accounts for 54.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍10654.4%
🔥5528.2%
❤‍🔥3115.9%
🍓21.03%
🤡10.513%

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 24 of the 24 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 195reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 2 August 2026 to 12 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

12 Aug 2026, 14:35 UTC114 views4 reactionsread 12 August 2026
Photo

Kinza's Ultimate Editing Pack V3 — это комплексный набор инструментов для видеомонтажа, помогающий авторам контента быстро создавать кинематографичные, аниме- и игровые ролики профессионального уровня. В пакет входит более 60 настраиваемых пресетов, включая зумы, цветокоррекцию, текстовые анимации и эффекты тряски, что значительно ускоряет постпродакшн и позволяет добиваться впечатляющих визуальных результатов с мин

🔥2❤‍🔥1👍1

12 Aug 2026, 08:05 UTC405 views7 reactionsread 12 August 2026
Photo

Figure Drawing & Character Outfitting in Procreate Этот курс обучает созданию выразительных персонажей в Procreate, последовательно разбирая построение анатомически точного скелета, передачу динамики движения и реалистичное рисование складок одежды. Вы освоите профессиональный цифровой рабочий процесс от динамичного наброска до чистового лайна, научившись органично интегрировать аксессуары и добиваться структурной

👍4❤‍🔥2🔥1

12 Aug 2026, 07:03 UTC433 views5 reactionsread 12 August 2026

Posted without readable text

👍3❤‍🔥1🔥1

11 Aug 2026, 14:36 UTC662 views8 reactionsread 12 August 2026
Photo

Ultimate Edition Pack 2026 — это комплексный набор инструментов для видеомонтажа, объединяющий цветокоррекционные пресеты (LUT), визуальные эффекты, титры, звуковые эффекты и готовые проекты для Premiere Pro, After Effects и DaVinci Resolve. Этот пакет позволяет авторам контента и профессиональным редакторам значительно ускорить постпродакшн, автоматизировать рутинные задачи и создавать кинематографичные ролики с ми

👍5🔥2❤‍🔥1

11 Aug 2026, 08:07 UTC697 views6 reactionsread 12 August 2026
Photo

Learn CapCut: Step-by-Step Video Editing Course Этот курс обучает профессиональному видеомонтажу в CapCut с нуля, последовательно разбирая весь процесс от настройки интерфейса и базовой нарезки до сложной работы с хромакеем, масками и трекингом объектов. Студенты освоят продвинутые техники цветокоррекции, улучшения звука и создания автоматических субтитров, а также научатся оптимизировать рабочий процесс с помощью

👍3🔥2❤‍🔥1

11 Aug 2026, 07:04 UTC664 views4 reactionsread 12 August 2026

Posted without readable text

👍2❤‍🔥1🔥1

10 Aug 2026, 14:33 UTC799 views7 reactionsread 12 August 2026
Video

FontObj v1.0 — это удобное расширение для After Effects, позволяющее мгновенно преобразовывать обычные текстовые слои в полноценную трехмерную OBJ-геометрию. Инструмент дает возможность выбрать любой шрифт, гибко настроить размер, глубину выдавливания и межбуквенный интервал, а затем экспортировать чистую 3D-модель прямо из программы для дальнейшего использования в сторонних приложениях. ➡️ СКАЧАТЬ | ~1 МБ #плагин

👍3🔥3❤‍🔥1

10 Aug 2026, 08:03 UTC834 views13 reactionsread 12 August 2026
Photo

Monkeys vol.1 - этот набор из 159 высокодетализированных фотографий содержит разнообразные изображения обезьян в различных средах обитания, запечатленных как в спокойных позах, так и в движении. Каждое изображение имеет разрешение около 4000 пикселей по длинной стороне, что делает этот пак идеальным инструментом для создания концепт-артов и высококачественного фотобашинга в ваших художественных проектах. ➡️ СКАЧАТЬ

👍7🔥4❤‍🔥2

9 Aug 2026, 14:38 UTC855 views7 reactionsread 12 August 2026
Video

Плагин Type ReAlign v1.1.0 позволяет изменять выравнивание текста по левому краю, центру или правому краю без смещения его исходного положения в композиции After Effects. Инструмент поддерживает работу как с 2D, так и с 3D текстовыми слоями, значительно упрощая процесс точной настройки типографики. ➡️ СКАЧАТЬ | 1,1 МБ #плагин #AfterEffects @catPixely

👍4🔥2❤‍🔥1

9 Aug 2026, 08:08 UTC893 views5 reactionsread 12 August 2026
Photo

Master 20+ AI Tools for Architecture & Interior Design Этот курс обучает архитекторов и дизайнеров внедрению искусственного интеллекта в рабочие процессы, охватывая генерацию фотореалистичных рендеров, обучение собственных LoRA-моделей и автоматизацию документации с помощью более чем 20 специализированных инструментов. Студенты освоят создание масштабируемых AI-систем для визуализации, управления проектами и провер

👍3❤‍🔥1🔥1

8 Aug 2026, 15:18 UTC963 views7 reactionsread 12 August 2026
Photo

A Female Body Photo Reference Pack - этот набор включает 1071 высококачественный JPEG-файл разрешением 3000 пикселей по длинной стороне, предлагая художникам обширную коллекцию реальных фотографий женского тела в различных ракурсах, позах и условиях освещения. Пак с разворотными и динамичными ракурсами идеально подходит как для изучения анатомии, так и для создания комиксов и иллюстраций, обеспечивая надежную визуал

👍4🔥2❤‍🔥1

8 Aug 2026, 10:13 UTC948 views9 reactionsread 12 August 2026
Photo

Fundamentals of Figure & Anatomy Drawing with Procreate Этот курс обучает профессиональному рисованию динамичных фигур и реалистичной драпировки одежды в Procreate, делая акцент на жестах, балансе и физике тканей, а не на простом заучивании мышц. На практике студенты выполнят 14 уникальных этюдов персонажей, освоив полный цифровой рабочий процесс от первоначального скетча до финального силуэта для создания выразите

❤‍🔥4👍3🔥2

Showing the 12 most recent of 24 posts we hold for @catPixely. 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.

Mentions

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“PIXELY” (@catPixely), 9,631 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/catPixely.

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.