4 measurements spanning 7 days, net +6. 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 1,528–1,536 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 18:56
1,535
+5
10 Aug 2026, 23:26
1,530
+1
7 Aug 2026, 13:42
1,529
no change
7 Aug 2026, 10:18
1,529
first reading
Engagement
9 posts held, back to 16 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.2%
avg views ÷ 1,535 subscribers
Avg views / post
357
6 posts measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
7
of 9 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. It is computed over the 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
9 (16 July 2026 – 5 August 2026)
Views total
2,140
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:09 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
1m 31s
Average length
1m 31s
Measured directly from 1 video 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
20 reactions across 6 posts, in 5 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
❤
7
35.0%
🔥
6
30.0%
👍
4
20.0%
👨💻
2
10.0%
👏
1
5.00%
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 6 of the 9 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 16 July 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.
Склады WB под ударом БПЛА. Как защитить деньги в кризисной ситуации?
Пока селлеры паникуют в чатах, мы в Sirena AI подготовили антикризисный функционал 👇
✅ Выгрузка остатков в один клик — фиксируй, что товар реально был на складе. Это твоя доказательная база для компенсации.
✅ Личный AI-Юрист в полноценном чате — сам поможет составить запросы, претензии и подготовить документы для компенсации. Переведёт оферту WB …
Друзья, встречайте! В Сирена AI появился полноценный ИИ-консультант по юридическим вопросам!
Мы расширили возможности нашей системы, и теперь наш Главный аналитик научился консультировать селлеров по вопросам защиты товара и получения компенсаций.
Как это работает:
1. Всё на главной странице: Теперь прямо в дашборде выводится важная сводка о статусе складов (например, предупреждения об атаках на Электросталь, Кото…
🔥 Напоминаем: Sirena AI доступна на любом вашем устройстве!
Использовать платформу стало еще проще. Теперь не нужно каждый раз заходить в браузер и искать закладки — вы можете превратить сервис в полноценное приложение на экране своего смартфона, планшета или компьютера.
Дашборды, аналитика продаж и советы от ИИ всегда под рукой — открываются в один клик и работают во весь экран.
Как установить Sirena AI за 10 сек…
🚨 Создали Антикризисный штаб поддержки селлеров: объединяемся, чтобы защитить ваш бизнес
Друзья, мы видим, с каким давлением, неопределенностью и сложностями прямо сейчас сталкивается огромное количество продавцов. В таких условиях оставаться один на один с проблемами просто нельзя.
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Что вас ждет внут…
Бесплатный для ВСЕХ раздел выгрузки остатков по складам в нашем сервисе https://sirena-ai.ru готов!
Каждый желающий может зарегистрироваться в нашем сервисе подключить токен и скачать актуальные остатки за 30 последних дней. Можно выбрать дату остатка и выгрузить. Показываем данные в разрезе каждого товара.
Чтобы увидеть информацию о себестоимости внесите себестоимость в соответствующем разделе!
Крепитесь коллеги,…
Главное: отказ ВБ — это НЕ приговор.
Юрист даёт два сильных аргумента
(расшифровка инструкции):
1. ВБ обязан ДОКАЗАТЬ, а не просто написать «форс-мажор».
Мало сказать «прилетел дрон, компенсации нет».
По закону (ст. 901 ГК) ВБ — профессиональный хранитель, он отвечает за твой товар по умолчанию. Чтобы отвертеться, он должен доказать: что это был именно форс-мажор, что сгорел именно ТВОЙ товар, что он лежал именно в…
⚡️ WB дает до +10% к СПП за расходы на рекламу!
Теперь вложения в продвижение (в т.ч. WB Медиа) напрямую снижают итоговую цену товара для покупателя.
Как это работает:
Считают ДРР от заказов. Важна не абсолютная сумма трат, а доля рекламных расходов от оборота за последние 14 дней и их регулярность.
Ежедневный перерасчет. Показатели обновляются каждый день.
Скидка на весь ассортимент. Бонусная СПП применяется ко…
Кейс WB: термобельё, где визуал блокировал рост.
Спрос в категории был, но карточки не раскрывали товар. Продажи шли вяло, остатки двигались медленно, конкуренты забирали клики за счёт визуала.
Подключили Sirena AI, нашли проблему: CTR топовой карточки был в 2,3 раза ниже ниши. Обновили фото, перераспределили остатки, усилили растущие модели. Результат за 10 дней: выручка с 184 тыс. ₽ до 2,68 млн ₽, заказы с 12 до …
Showing the 9 most recent of 9 posts we hold for @sirena_ai1. 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.
Citation-graph rank
Citation-graph rank — 99,985 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 registered channels — 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“SIRENA AI — Умная аналитика для селлеров” (@sirena_ai1), 1,535 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sirena_ai1.
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.