6 measurements spanning 19 days, net -19. 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 4,812–4,837 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Aug 2026, 03:36
4,815
-6
22 Aug 2026, 00:38
4,821
-4
15 Aug 2026, 16:08
4,825
-4
9 Aug 2026, 17:22
4,829
-5
6 Aug 2026, 03:50
4,834
no change
6 Aug 2026, 01:51
4,834
first reading
Engagement
21 posts held, back to 7 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
21.6%
avg views ÷ 4,815 subscribers
Avg views / post
1,040
3 posts measured
Reaction rate
2.53%
reactions ÷ views · ER floor
Posts in window
3
of 21 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
21 (7 May 2026 – 7 August 2026)
Views total
3,118
Reactions total
79
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:15 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
12m 36s
Average length
1m 03s
Measured directly from 12 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
523 reactions across 21 posts, in 16 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
183
35.0%
❤
117
22.4%
👍
115
22.0%
👏
41
7.84%
😁
17
3.25%
❤🔥
15
2.87%
🥰
14
2.68%
🫡
5
0.956%
🤷♀
4
0.765%
👀
3
0.574%
✍
2
0.382%
🤔
2
0.382%
🤷♂
2
0.382%
👎
1
0.191%
😱
1
0.191%
🤨
1
0.191%
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 21 of the 21 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 523reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 7 May 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
15
of 21 we hold a reading for · 71%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kursx. 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 21 most recent posts we hold for this entry, published 7 May 2026 to 7 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.
🔔 Добавил возможность подписаться на определенные идеи и проблемы - так вы сможете получать уведомления на почту о комментариях и изменении статуса.
Настоятельно советую все ваши проблемы и идеи заводить там. Теперь это не сторонний ресурс, как было раньше. На нем нет ограниченний и я буду его дорабатывать в полноценный форум приложения. Кроме этого ваше замечание не потеряется и не забудется мной, что бывает очень …
Прокачал обратную связь на сайте https://smart-book.net/feedback
Теперь идеи, репорты и комментарии будут делаться от имени ваших Smart Book аккаунтов. В будущем сделаю автоматический перевод идей и контента.
На следующей неделе в бета тест поступит обновление с большим количеством переработок, касающихся работы словаря. Функционально в нем ничего не изменится и разницы вы не увидите - обновление инфраструктурное, но может повлечь за собой временные проблемы в работе со словарем. Если не хотите с ними сталкиваться - можете выйти из бета теста по ссылке
https://play.google.com/apps/testing/com.kursx.smartbook
Освежил внешний вид сайта
https://smart-book.net
Вы там вряд ли что-то полезное для себя найдете - ничего нового там нету. Вынес туда описание основных возможностей и FAQ. Давно хотел привести его к нормальному виду. Кроме него обновил и остальные свои сайты - можете тоже глянуть, если интересно:
https://tetsy.net
https://alcogram.net
https://kursx.net
Добавлена кнопка расширения контекста для ИИ. По умолчанию в запрос вставляется только предложение в котором используется выделенный текст. Кнопка расширяет контекст сразу до параграфа, а потом добавляет соседние. Я пока не то чтобы нашел места, где есть сильные изменения относительно контекста, потестируйте
Рассказчик в словаре. Можно один раз включить и слушать все свои слова по очереди.
P. S. Первый экран, в котором я не написал ни строчки. Все, кому нравится, говорите спасибо Светлане 😉
Инструкция как зарегистрировать API ключ от nvidia и использовать его для перевода с использованием открытых ИИ моделей бесплатно.
P. S. Из рф можно для регистрации купить временный номер https://t.me/c/1473924943/46394
Инструкция как добавить свой API ключ для ChatGPT и использовать ИИ без MAX подписки (но с PRO) и с любыми моделями (если есть возможность оплачивать ChatGPT самостоятельно)
👍11❤3🔥1
Showing the 12 most recent of 21 posts we hold for @kursx. 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.
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 25 August 2026 — this
entry's latest reading, not the date you are reading this.
“KursX 🔥” (@kursx), 4,815 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/kursx.
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.