4 measurements spanning 4 days, net +45. 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 3,536–3,595 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 12:33
3,588
+38
8 Aug 2026, 18:02
3,550
+7
7 Aug 2026, 20:16
3,543
no change
7 Aug 2026, 20:06
3,543
first reading
Engagement
20 posts held, back to 22 July 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.
ERR · 30 days
6.52%
avg views ÷ 3,588 subscribers
Avg views / post
234
20 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
20
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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (22 July 2026 – 7 August 2026)
Views total
4,678
Reactions total
64
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 20:16 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
2m 13s
Average length
8s
Measured directly from 17 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
64 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 35.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
23
35.9%
👍
20
31.3%
🔥
14
21.9%
👎
2
3.13%
🥱
2
3.13%
👏
1
1.56%
😐
1
1.56%
🤔
1
1.56%
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 64reactions 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 22 July 2026 to 7 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.
Градиентные истории
Девять вертикальных сцен с современными градиентами для стильных историй и рекламных публикаций. Подойдут для продвижения брендов, мероприятий, услуг и контента в социальных сетях.
Категория: #Истории #Анимация
Плагин: Не нужен
Ссылка: Скачать шаблон
За 5 минут сделал карточку товара в нейронке 🤩
А теперь от неё хочется помыть глаза?
📉 Хотели сэкономить на дизайнере, а в итоге сэкономили на продажах.
Инфографика и нейрофото — канал, где создаются топовые карточки для Ozon и WB.
Разборы, кейсы, нейросети. Настоящая визуальная база для селлеров 🔖
Подпишись: https://t.me/+l4MDA5YCEUhkN2Fi
Мультиэкранное стильное интро
Современное интро с видеороликами, размещёнными в виде мультиэкранной галереи. Чёрный фон, аккуратные рамки и анимированный текст помогают сосредоточить внимание на контенте.
Категория: #Интро #Коллаж #СлайдШоу
Плагин: Не нужен
Ссылка: Скачать шаблон
Модные вертикальные истории
Шесть вертикальных историй для презентации модных коллекций, брендов, товаров и распродаж. Подойдут для Instagram, рекламных экранов, торговых центров и стильных видеопрезентаций.
Категория: #Истории #СлайдШоу
Плагин: Не нужен
Ссылка: Скачать шаблон
Конструктор AI-промо
Набор из тринадцати сцен для создания технологичного проморолика об AI-сервисе или SaaS-продукте. Содержит более десяти медиаплейсхолдеров, место для логотипа и удобное управление цветами.
Категория: #Интро #СлайдШоу #Анимация
Плагин: Не нужен
Ссылка: Скачать шаблон
Кулинарные нижние титры
Пять современных нижних титров с объёмными анимациями продуктов и блюд. Подойдут для кулинарных каналов, рецептов, гастрономических шоу и рекламы заведений.
Категория: #Заголовки #Текст #Анимация
Плагин: Не нужен
Ссылка: Скачать шаблон
Обзор современного приложения
Анимированный шаблон для наглядной презентации программного обеспечения и мобильных приложений. Содержит интерфейсные карточки, уведомления, задачи, графики, статистику и показатели эффективности.
Категория: #Анимация #Интро
Плагин: Не нужен
Ссылка: Скачать шаблон
Неоморфные виджеты интерфейса
Шесть анимированных виджетов в ярком стиле неоморфизма. В набор входят входящий звонок, музыкальный плеер, таймер, погода, трекер привычек и список задач.
Категория: #Анимация #Эффекты
Плагин: Не нужен
Ссылка: Скачать шаблон
Карусель Vision Pro
Трёхмерная карусель изображений с парящими карточками и стеклянными элементами пространственного интерфейса. Подойдёт для презентации приложений, музыкальных сервисов, цифровых продуктов и проектов AR или VR.
Категория: #СлайдШоу #Анимация
Плагин: Не нужен
Ссылка: Скачать шаблон
Пиксельные лазерные титры
Ретрофутуристичные титры с неоновыми лазерными лучами, пиксельной графикой и эффектом развёртки CRT. Подойдут для игровых каналов, киберспорта, музыкальных клипов и энергичных заставок.
Категория: #Заголовки #Текст #Анимация
Плагин: Не нужен
Ссылка: Скачать шаблон
👍1
Showing the 12 most recent of 20 posts we hold for @After_Effects_Templatica. 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“After Effects” (@After_Effects_Templatica), 3,588 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/After_Effects_Templatica.
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.