5 measurements spanning 15 days, net -12. 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 557–573 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 15:13
559
-8
15 Aug 2026, 02:23
567
-2
8 Aug 2026, 04:25
569
-2
8 Aug 2026, 03:31
571
no change
7 Aug 2026, 17:53
571
first reading
Engagement
13 posts held, back to 28 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.4%
avg views ÷ 559 subscribers
Avg views / post
153
1 post measured
Reaction rate
61.4%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 31 July 2026
Posts held
13 (28 May 2026 – 31 July 2026)
Views total
153
Reactions total
94
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 03:31 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 24s
Average length
14s
Measured directly from 10 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
1,006 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 28.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
283
28.1%
🔥
232
23.1%
👍
209
20.8%
😍
178
17.7%
💯
62
6.16%
❤🔥
42
4.17%
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 13 of the 13 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 1,006reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 28 May 2026 to 31 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.
Создавала на заказ для косметолога мультик и вот какие у нас результаты:
Первая серия - 560 тысяч 🔥🔥
Вторая - 1млн 🚀🔥🔥🔥
Третья набирает обороты и пока 350т 🔥
За 3 дня на нее подписалось около ~10 тысяч человек!
👉🏻 Эти серии можно посмотреть в ее инстаграме: ruvaida.doc
Я заработала —> она получила аудиторию, крутые охваты и новых клиентов
Всему этому учим на нашем обучении в закрепе 😍🚀
Нейросети с каждым разом выходят для меня на новый и новый уровень реализма и всё точнее можно передать реального человека таким какой он есть и сделать что-то нереальное 🔥
Кто еще не присоединился к обучению - очень жду вас!
Подробности на нашем сайте: https://neirolab.tilda.ws/
Реалистичные видео с собой можно делать в ИИ за 10 минут времени. Не нужно наряжаться, краситься, нужно только просто сделать пару фото себя и написать промт ❤️🔥
Девочкиииии
Просто берете свое фото + фото вашей комнаты, пишете промт и создаёте любые крутые видео! 🔥
В обучении рассказываю как такое создавать ☺️✅
Если вы еще не подключились или у вас есть вопросы - буду рада помочь и ответить в комментариях или в личке - @ena_romanovaa ❤️
пока вы рассуждаете получится у вас или нет и надо оно вам или нет - у меня буквально вчера ролик набрал почти лям и не останавливается 🔥
а самое главное, что это не просто крутое количество просмотров, но там еще и воронка, которая ведет к продажам обучения и помогает понять, что сейчас самое идеальное время чтобы научиться ИИ 📌
Я решила, что после прохождения обучения - я выберу ассистента, который будет помогать мне делать ролики, и сможет зарабатывать на этом 🔥💸
Всё что вам нужно - это пройти наше обучение, разобраться в нейросетях, и написать мне в личку о своем желании стать ассистентом ❤️
Это максимально прямой путь к заработку на ИИ 😍
🤩Обучение можно приобрести по ссылке : t.me/tribute/app?startapp=sVnM
Где взять идеи? 💡
Заходим в нейросеть —> GPT/CLAUDE/GEMINI —> в управлении внизу нажимаем и ставим модель Claude 4.7 opus —> пишем в чат и просим придумать идеи на любые темы для любых целей 🔥
На полном обучении ИИ с нуля рассказываем так же про ваши любимые перевоплощения 🔥
Завтра будет обучающий ролик, и до завтра цена обучения 5.500₽, а завтра будет 7.000₽❗️
Приобрести:
t.me/tribute/app?startapp=sVnM
💯30🔥29👍21
Showing the 12 most recent of 13 posts we hold for @promtflux. 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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“🤍 КСЮША ИЗ ИИ | ОБУЧЕНИЕ С НУЛЯ” (@promtflux), 559 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/promtflux.
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.