2 measurements spanning 1 day, net +4. 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 531–537 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Nov 2026, 01:07
536
+4
9 Nov 2026, 18:22
532
first reading
Engagement
14 posts held, back to 1 January 2023 — 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.32%
avg views ÷ 536 subscribers
Avg views / post
28.5
4 posts measured
Reaction rate
8.77%
reactions ÷ views · ER floor
Posts in window
4
of 14 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 9 November 2026
Posts held
14 (1 January 2023 – 9 November 2026)
Views total
114
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 18:22 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.
Reaction mix
42 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 83.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
35
83.3%
❤
6
14.3%
⚡
1
2.38%
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 12 of the 14 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 1 January 2023 to 9 November 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
3,600
across the posts below
Posts paid on
2
of 12 we hold a reading for · 17%
Most on one post
2,500
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rpynews. 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 14 most recent posts we hold for this entry, published 1 January 2023 to 9 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
ТОП ПРИЛОЖЕНИЙ НЕДЕЛИ
С понедельником🤟🏼
Просто хотим поделиться с вами приложениями, которые активно заливали наши партнеры в первую неделю ноября
И напоминаем, что с нами вы можете:
— Арендовать готовые приложения и запускать траф уже сейчас
— Заказать приватные апки — разработаем индивидуально под вашу команду и задачи
— Приобрести приложения в собственность для работы вашей команды
По всем вопросам пишите @sa…
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В кейсе рассказываем:
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— Почему Joker Jewels под Mercado Pago стали одной из лучших связок на Аргентине.
— Как искали качественных паблишеров в Unity Ads и работали с Source ID.
— Почему отключать паблишеров после первых суток — не всегда хорошая идея.
— Как масштабировали объ…
МЫ ТУТ ХОТЕЛИ ПОКАЗАТЬ ВАМ КОНВЕРТ, НО НАШ ХЭД ПЕРЕЖИВАЕТ, ЧТО НАМ НИКТО НЕ ПОВЕРИТ 👀
(скрин прилагаем )
INST2REG — 44,5%
REG2DEP — 24%
Ну а если серьёзно — цифры впечатляют даже нас. Поэтому просто делимся результатами и рассказываем, как мы их добились.
1. Прилы под конкретное ГЕО
Не просто Chicken Road с разными названиями, а полноценная адаптация под конкретный рынок: местные казино, платёжки, флаги, известные…
МЫ ПОМЕНЯЛИ ИГРУ, САМИ ЭТОГО НЕ ПОНИМАЯ 😱
В подходах к разработке апок на рынке все довольно просто: арендные сервисы делают приложения под популярные игры – от Chicken Road до Sweet Bonanza. Одни и те же дизайны, знакомые механики.
Но в какой-то момент мы начали делать немного иначе.
Как это работает у нас?
Мы не просто делаем приложения под игры — мы погружаемся в подход каждого партнера и адаптируем прилы под ко…
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🤝 Вместе с сервисом Roopyapps разобрали три варианта: аренда, приват и покупка
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В статье сравнили особенности каждого подхода и порекомендовали, как…
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Кажется, мы выпустили приложение, которое действительно нужно всем.
Команды приходят именно за нашим Joker Jewels, заливают его на разные сорсах, а партнеры уже напрямую говорят: лучшего дизайна для этой механики они не видели.
Почему именно наш Joker Jewels так хорошо заходит командам?
🎰 Дизайн максимально приближен к оригиналу
В приложе…
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Кажется, что самое сложное уже позади: лид увидел рекламу, кликнул и установил прилу. Но именно здесь начинается еще один важный этап воронки.
После установки приложению требуется 20–30 секунд, чтобы загрузить оффер.
Для пользователя это немного. Для залива трафика - потенциальная точка потери конверсии.
Мы знаем, что в мобильном трафике значение имеет ка…
ТОП СОРСОВ ИЮЛЯ:НА ЧТО ЛЬЮТ КОМАНДЫ БАИНГА?
📌 Facebook Ads
Остается одним из основных источников для масштабирования. При правильной подготовке аккаунтов и креосов дает большой спенд.
📌 UAC (Google Ads)
Продолжает привлекать команды за счет качества трафика и возможности масштабировать кампании.Несмотря на сложности с модерацией приложений, этот сорс набирает обороты.
📌 Unity
Все больше команд тестируют игровые и …
ROOPYAPPS - ЭТО НЕ ТОЛЬКО АРЕНДА ПРИЛОЖЕНИЙ
🔥 Нужно свое Android приложение? Сделаем
Помимо аренды, Roopyаpps занимается разработкой и продажей Android-приложений под разные вертикали.
Как проходит процесс?Обсуждаем ваши задачи и требования- Подбираем оптимальное решение под ваш сорс и GEO- Разрабатываем прилу- Передаем готовый продукт вашей командеПочему стоит выбрать нас?
✅ Мы разрабатываем приложения под ключ
✅…
ПОЧЕМУ ROOPYAPPS ДАЕТ ПРИЛОЖЕНИЯ БЕСПЛТАНО?
Мы только начинаем развивать наш сервис и хотим, чтобы команды могли оценить качество работы без лишних рисков.
Именно поэтому на старте аренда приложений для наших клиентов - бесплатная.
Важно понимать: бесплатно - не значит то, что мы зарабатываем на органике.
Мы не зарабатываем на органическом трафике и не используем такой подход в работе. У наших приложений качествен…
ПОЧЕМУ НАШИ ПРИЛЫ ЖИВУТ 2+ МЕСЯЦА?
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Знакомая ситуация: вы запускаете приложение, кампания начинает показывать первые результаты - и в этот момент апка уходит в бан. Приходится заново искать прилу и терять время на перезапуск.
Мы сами раньше работали с арендными приложениями и сталкивались с этой проблемой, поэтому при создании Roopyаpps главной задачей было …
🔥4
Showing the 12 most recent of 14 posts we hold for @rpynews. 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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Roopyapps” (@rpynews), 536 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/rpynews.
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.