5 measurements spanning 9 days, net -29. 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 2,418–2,455 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 18:24
2,422
-12
13 Aug 2026, 13:27
2,434
-3
10 Aug 2026, 14:32
2,437
-12
7 Aug 2026, 19:40
2,449
-2
7 Aug 2026, 17:18
2,451
first reading
Engagement
16 posts held, back to 29 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.
ERR · 30 days
17.0%
avg views ÷ 2,422 subscribers
Avg views / post
412
1 post measured
Reaction rate
3.40%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 5 August 2026
Posts held
16 (29 January 2026 – 5 August 2026)
Views total
412
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:18 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 54s
Average length
19s
Measured directly from 9 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
312 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 48.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
151
48.4%
❤
106
34.0%
👍
21
6.73%
😢
8
2.56%
⚡
7
2.24%
🤝
5
1.60%
🤩
5
1.60%
😱
4
1.28%
❤🔥
3
0.962%
👏
2
0.641%
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 16 of the 16 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 312reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 January 2026 to 5 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
3
of 16 we hold a reading for · 19%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @re4ee_ai. 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 16 most recent posts we hold for this entry, published 29 January 2026 to 5 August 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.
Сейчас готовлю 3 новых маппинга: Китай, Урал, Сибирь.
Для китайского фестиваля AMA Contest маппинг уже готов. У фестиваля будет много локаций в Азии, так как маппинг «путешествующий». Финал должен быть в Чунцине в декабре перед Новым годом.
Сейчас работаю над маппингом для фестиваля Просвет в Перми. Делаю продолжение прошлогоднего маппинга Cogito ergo sum. Показ уже в конце августа.
А затем фестиваль «Пелена» в Кем…
Мой маппинг в Барселоне на фестивале OFFF. В видео не поместилась работа с 3D, так что полный разбор со всеми шагами можно посмотреть на Беханс.
https://www.behance.net/gallery/249563281/Todo-es-numero-AI-Mapping-Projection-OFFF-2026
My projection mapping piece for the OFFF Festival in Barcelona. The 3D process didn’t fit into the video, so you can check out the full breakdown with all the steps on Behance.
re4ee 👉 INTERVALS 2026
Медиахудожник re4ee работает с ИИ, 3D-графикой и кинематографическим визуальным языком.
С помощью анимации и генеративных технологий он создаёт произведения, которые взаимодействуют с архитектурой зданий.
На IF ’26 re4ee представит мэппинг la carte sans le territoire на фасаде Академии Маяк — это своего рода «мыслящая машина», которая пытается постичь то, что лежит в чувственном мире.
✺ Int…
Раньше, чтобы сделать такую анимацию, нужно было потратить немало времени в After Effects, и это при условии, что у вас уже есть готовый футаж дыма. Если подходящего дыма нет, пришлось бы ещё открывать EmberGen.
Промпт будет в комментариях.
Previously, creating this kind of animation required spending a lot of time in After Effects, even if you already had ready-made smoke footage. If you didn’t have suitable smoke,…
Проблему с долгим ожиданием генерации в Seedance 2.0 на jimeng.jianying.com решили добавлением нового VIP-режима. Генерация становится в 5 раз дороже. Лучше буду генерировать вечером или ночью.
The issue of long generation wait times in Seedance 2.0 on jimeng.jianying.com has been addressed by adding a new VIP mode. However, generation becomes five times more expensive, so I’d rather generate in the evening or at ni…
На YouTube рассказал, на каком сайте можно использовать Seedance 2.0 без китайской сим-карты
https://www.youtube.com/watch?v=Bj7UqAvhJa8
On YouTube, I explained which website you can use to access Seedance 2.0 without a Chinese SIM card
Seedance 2.0 может еще и видео ретекстурировать. На Ютубе сделал обзор этой функции.
Seedance 2.0 can also retexture video. I made a review of this feature on YouTube.
https://youtu.be/GqyohMi8Dvg
Но если пользоваться ночью, конечно, всё работает быстрее. Вот новый маппинг для опенколла OFFF Festival, анимированный в Seedance 2.0.
But if you use it at night, of course everything runs faster. Here’s a new projection mapping piece for the OFFF Festival open call, animated in Seedance 2.0.
Вот почему Seedance 2.0 не выходит на основные ИИ-платформы. На китайском сайте, где я использую эту нейросеть, в очереди 200 000 генераций, и даже с премиум-подпиской приходится ждать 6 часов одну генерацию.
This is why Seedance 2.0 is not available on major AI platforms. On the Chinese website where I use this model, there are 200,000 generations in the queue, and even with a premium subscription you have to wait …
Обзор Seedance 2.0, сравнения с Kling 3.0 и Veo 3, промпты и как я получил доступ к этой ии - в новом видео на Ютубе
https://youtu.be/CpoH9TGrwaE?si=CGik6CWbl2vIDhDm
Seedance 2.0 review, comparisons with Kling 3.0 and Veo 3, prompts, and how I got access to this AI - in my new YouTube video
❤11🔥6👍1
Showing the 12 most recent of 16 posts we hold for @re4ee_ai. 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.
Forward network
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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“re4ee Prompts” (@re4ee_ai), 2,422 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/re4ee_ai.
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.