Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 24 September 2026 and assigned it the closest of 31 fixed categories, at 78% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
9 measurements spanning 93 days, net +11. 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 183–201 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Nov 2026, 23:45
197
-1
1 Nov 2026, 15:35
198
-1
12 Oct 2026, 18:37
199
+2
2 Oct 2026, 06:37
197
-1
17 Sept 2026, 12:58
198
+12
23 Aug 2026, 05:27
186
+1
16 Aug 2026, 01:55
185
-1
8 Aug 2026, 12:16
186
no change
7 Aug 2026, 23:34
186
first reading
Engagement
17 posts held, back to 19 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 38s
Average length
33s
Measured directly from 3 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
267 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 39.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
104
39.0%
👍
91
34.1%
❤
69
25.8%
🎉
3
1.12%
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 17 of the 17 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 267 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 19 March 2026 to 28 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.
Telegram Stars
Stars received
17
across the posts below
Posts paid on
14
of 17 we hold a reading for · 82%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @smart_monitor. 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 17 most recent posts we hold for this entry, published 19 March 2026 to 28 July 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.
Открыта запись на новые курсы Smart Monitor
Приглашаем на обучение по Smart Monitor в области управления машинными данными:
🔸 SM Developer — 13-14 августа
🔸 SM Admin — 19-21 августа
Обучение проходит онлайн в формате лекций и практических лабораторных работ под руководством ведущих разработчиков платформы.
Узнать подробности и зарегистрироваться можно на сайте
✅ Smart Monitor меняет подход к контролю соответствия
В Smart Monitor реализован автоматизированный контроль соответствия требованиям ИБ. Обновленный модуль Compliance позволяет перейти от разовых проверок и ручного сбора отчетов к постоянному контролю состояния мер защиты.
Модуль автоматически собирает и анализирует технические параметры, рассчитывает коэффициент защищенности информации (КЗИ) и показывает, где ест…
Итоги премии Smart Award
Мы тем временем подвели итоги премии Smart Award, в которой нам набросали действительно полезных практических кейсов применения платформы анализа данных из сферы осознанного мониторинга и кибербезопасности.
Поздравляю победителей и выражаю почтение всем участникам, в том числе тем, кто голосовал за заявки.
Немного подумав, мы приняли решение сделать утешительный приз доступным всем, и опу…
Приглашаем на курсы по Smart Monitor для заказчиков, партнеров и команд внедрения
🔸 SM Developer — 30–31 июля
🔸 SM Admin — 5–7 августа
Обучение проходит онлайн в формате лекций и практических лабораторных работ под руководством ведущих разработчиков платформы с практическим опытом внедрения Smart Monitor.
Узнать подробности и зарегистрироваться можно на сайте
Что нового в Incident Manager❓
В Smart Monitor теперь можно настраивать разные типы инцидентов. Для каждого типа можно определить набор полей в карточке, доступность инцидентов для разных ролей, внешний вид и возможность редактирования отдельных полей.
Также в истории инцидентов стало доступно прикрепление файлов. Платформа поддерживает сохранение и рендер файлов прямо в комментариях.
🔸 Подробнее об изменениях Inc…
🔸 В Smart Monitor 6.0 появился SM AI Service
В SML-пайплайнах стали доступны режимы summary и per_row для суммаризации, анализа, классификации и интеллектуального обогащения данных. В платформе появился реестр моделей с централизованным управлением доступными моделями и параметрами выполнения
Для аналитики и расследований также реализован структурированный вывод с поддержкой детерминированных результатов.
🔸Всё о S…
▶ Интеграция с Inventory и режим обслуживания
МАЯК интегрируется с Inventory и использует данные о сервисах и связях между компонентами для построения актуальной модели здоровья. Это помогает видеть актуальную структуру ИТ-ландшафта и использовать ее для анализа состояния сервисов.
Для метрик также стал доступен режим обслуживания. Теперь можно задавать временные периоды, когда состояние метрики не влияет на здоров…
✅ Новые инструменты для анализа инцидентов в 6.0
Вместе с модулем МАЯК в Smart Monitor появились новые инструменты для анализа инцидентов и поиска первопричин. «Исследователь» позволяет визуально коррелировать метрики на временной шкале и выявлять причинно-следственные связи, невидимые на отдельных графиках. Сценарии расследований можно сохранять и использовать повторно.
Анализ первопричин автоматически формирует …
Одно из главных обновлений Smart Monitor 6.0 — модуль МАЯК 🤩
Недавно мы рассказывали о модуле в статье, а теперь подробнее показываем функциональность и то, как он работает внутри платформы.
МАЯК обеспечивает наблюдаемость на инфраструктурном, сервисном и прикладном уровнях. Объединяет метрики, логи и трассировки в единой модели здоровья, коррелирует события из разнородных источников и помогает находить первопричин…
Smart Monitor 6️⃣.0️⃣
Это один из самых крупных релизов платформы за последнее время: с новым модулем МАЯК, осознанным подходом к мониторингу и развитием AI-функций внутри платформы.
В следующих постах подробнее покажем ключевые возможности Smart Monitor 6.0 и разберем изменения по отдельности.
VolgaBlob на 💚💚 2026
ЦИПР — одна из главных площадок про цифровую экономику и технологии в России. В этом году в центре внимания киберустойчивость, архитектура ИБ и ИТ, защита промышленности, безопасное внедрение ИИ, страхование киберрисков и развитие российского ИБ-рынка.
Мы участвуем в ЦИПР 2026 вместе с Кибердомом в пространстве «Киберковчег», точке притяжения форума для неформального общения и встреч с коллегам…
🧠 Smart Monitor расширяет возможности мониторинга в области ИИ
В новой версии Smart Monitor 6.0 появились универсальные инструменты для работы с ИИ. Платформа поддерживает семантический поиск и обработку неструктурированных данных, что позволяет создавать кастомных ИИ-ассистентов под задачи компании и использовать ИИ в операционных сценариях.
Также в Smart Monitor 6.0 реализован специальный модуль для выявления ата…
🔥7❤5👍3
Showing the 12 most recent of 17 posts we hold for @smart_monitor. 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
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 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Smart Monitor” (@smart_monitor), 197 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/smart_monitor.
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.