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Channel

Бизнес-Роботикс | AI для бизнеса

@business_robotics

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

734subscribers

+0 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003487101729
TypeChannel
Username@business_robotics
CreatedBetween 1 November 2025 and 30 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 November 2026
Last confirmed live3 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/business_robotics

Growth

7343 Nov 2026, 04:22 — 734 subscribers3 Nov 2026, 17:40 — 734 subscribers3 Nov 2026, 04:223 Nov 2026, 17:40
2 measurements taken within a single day. 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 733–735 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 17:40734no change
3 Nov 2026, 04:22734first reading

Engagement

11 posts held, back to 23 October 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.

ERR · 30 days
11.2%
avg views ÷ 734 subscribers
Avg views / post
82.0
11 posts measured
Reaction rate
10.1%
reactions ÷ views · ER floor
Posts in window
11
of 11 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
WindowRolling 30 days · latest post in window 2 November 2026
Posts held11 (23 October 2026 – 2 November 2026)
Views total902
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 04:22 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.

What this channel posts

Video runtime
2m 28s
Average length
37s

Measured directly from 4 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

91 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 61.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5661.5%
👍1112.1%
🔥99.89%
💯77.69%
👏33.30%
😱22.20%
🤔22.20%
🙏11.10%

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 11 of the 11 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 23 October 2026 to 2 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 11 posts held from the last 30 days (9.09%) 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).

2 Nov 2026, 11:45 UTC36 views1 reactionsread 3 November 2026
Photo

🤖 BizSkill обучает сотрудников за вас! ИИ-куратор, голосовой тренажер и умная база знаний - всё на одной платформе. 🚀 Меньше рутины, больше результата! 📩 Напишите нам в комментарии - покажем, как это работает на практике.

🤔1

2 Nov 2026, 05:17 UTC62 views3 reactionsread 3 November 2026
Video

🤖 ИИ-агент — ваш новый цифровой сотрудник, который работает 24/7! Представьте помощника, который сам отвечает клиентам, обрабатывает заявки, работает с документами и автоматизирует рутинные задачи. И всё это без выходных! 🚀 🔥 Хотите проверить, как ИИ-агент справится с вашими задачами? Мы предоставляем БЕСПЛАТНУЮ демоверсию ИИ-агента на 3 дня! Вы сможете лично протестировать его возможности и оценить пользу для сво…

❤3

30 Oct 2026, 11:21 UTC83 views8 reactionsread 3 November 2026
Photo

⚡️ИИ незаметно манипулирует решениями людей Исследователи Anthropic провели эксперимент с 50 профессиональными аналитиками и выяснили, что в большинстве случаев люди выбирали вариант, который продвигал ИИ — это происходило в 86% решений. При этом участники по-прежнему были уверены, что действуют самостоятельно. В задаче с Claude Code нейросетям тайно задали собственные предпочтения. В 60% случаев аналитики соглашал…

💯3😱2❤1👍1🤔1

30 Oct 2026, 05:25 UTC79 views9 reactionsread 3 November 2026
Video

🧠 Умная база знаний — вся информация компании в одном месте! Забудьте о бесконечном поиске документов, инструкций и ответов в рабочих чатах! Умная база знаний bizSkill объединяет всю важную информацию компании и помогает сотрудникам быстро находить нужные ответы с помощью ИИ. ⚡ ✅ Все документы и регламенты в одном месте ✅ Быстрый поиск и ответы со ссылками на источники ✅ Удобный доступ к информации по ролям 🚀 Х…

❤7🔥2

29 Oct 2026, 10:19 UTC78 views2 reactionsread 3 November 2026
Video

Менеджер по продажам ошибается. А ты теряешь клиентов, даже не зная об этом. Не перезвонил, поздно ответил, забыл про заявку — и потенциальный клиент ушёл к конкуренту. 📊 По исследованию «Телфин» и OkoCRM (сентябрь 2025, опрос более 7500 представителей российского бизнеса), если клиент ждёт ответа дольше 10 минут, доля безвозвратно потерянных обращений превышает 50%. А анализ 7049 реальных продающих разговоров пок…

❤2

29 Oct 2026, 06:30 UTC81 views9 reactionsread 3 November 2026
Video

📖Знакомьтесь с bizSkill — ИИ-платформой, которая помогает обучать сотрудников, тренировать продажи в реалистичных диалогах с клиентами и быстро находить нужную информацию в базе знаний компании. Меньше рутины для руководителей, больше практики для команды и уверенности в работе! 👉🏻Напишите в комментариях "Обучение" и мы дадим доступ к платформе бесплатно

❤9

28 Oct 2026, 10:02 UTC88 views14 reactionsread 3 November 2026
Photo

🤖Tesla начала серийный выпуск роботов Optimus На заводе в Фремонте (Калифорния) компания запустила производство гуманоидов Optimus в «серийном» качестве. Пока это только начало. Маск сказал, что масштабирование будет медленным, а первые роботы внешним клиентам появятся ближе к концу 2027 года. Для производства Tesla уже переоборудовала линии, на которых раньше собирали Model S и Model X. #Новости_ИИ

❤10💯4

27 Oct 2026, 10:09 UTC94 views13 reactionsread 3 November 2026
Video

🇨🇳 110 роботов синхронно станцевали в Китае и установили рекорд Гиннесса В Китае устроили настоящее роботизированное шоу: 110 андроидов исполнили танец с идеальной синхронностью и установили мировой рекорд Гиннесса за самое массовое синхронное выступление роботов. #Новости_ИИ

👍10❤3

27 Oct 2026, 06:58 UTC91 views11 reactionsread 3 November 2026
Photo

Можно обучать стажёров самостоятельно, но сколько времени уйдёт, прежде чем они научатся уверенно общаться с клиентами? BizSkill помогает подготовить новичков к реальным диалогам ещё на этапе обучения. 🤖 С помощью ИИ-платформы стажёры могут: • тренироваться общаться с виртуальными клиентами; • отрабатывать возражения и сложные ситуации; • разбирать ошибки и получать обратную связь; • пробовать снова, пока не почувс…

❤11

26 Oct 2026, 09:11 UTC100 views10 reactionsread 3 November 2026
Photo

⚡️ OpenAI построила фейковый интернет для ИИ-агентов OpenAI создала огромную виртуальную копию интернета, чтобы ИИ-агенты могли учиться искать, пользоваться сайтами и общаться друг с другом, но не сбегали в настоящую сеть. Там модели тренируются в безопасной «песочнице». Идея — снизить риск побегов. ❗️Но даже в этой копии некоторые агенты всё равно находили дыры и выходили в живой интернет. #Новости_ИИ

🔥7❤3

23 Oct 2026, 11:45 UTC110 views11 reactionsread 3 November 2026
Photo

☝🏻Пока менеджеры отдыхают и заявки ждут ответа - бизнес теряет клиентов! ИИ-агент поможет быть всегда на связи и автоматизировать рутинные процессы! Предлагаем бесплатный пилот: выберем одну задачу и покажем, как её может выполнять ИИ-агент. Оставить заявку: https://bragents.ru/

❤7👏3🙏1

Showing the 11 most recent of 11 posts we hold for @business_robotics. 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

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“Бизнес-Роботикс | AI для бизнеса” (@business_robotics), 734 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/business_robotics.

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.