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INNOTECH | Автоматизация производств

@innotech_ekb

On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry

41subscribers

+29 since we began measuring on 31 August 2026

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

Register entry

Telegram ID-1003461899960
TypeChannel
Username@innotech_ekb
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live3 October 2026
Measurements held4
Confirmed unchanged1 time, most recently 3 October 2026
On Telegramt.me/innotech_ekb

Topic

Technology — 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 3 October 2026 and assigned it the closest of 31 fixed categories, at 96% 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 why it has no browse page of its own yet.

Growth

124126.531 August 2026 — 12 subscribers31 August 2026 — 12 subscribers10 September 2026 — 13 subscribers3 October 2026 — 41 subscribers31 August 20263 October 2026
4 measurements spanning 34 days, net +29. 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 8–45 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 17:5841+28
10 Sept 2026, 14:0013+1
31 Aug 2026, 14:2812no change
31 Aug 2026, 03:3412first reading

Engagement

8 posts held, back to 6 August 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 8 posts for this entry, the most recent from 27 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

17 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤635.3%
🔥317.6%
❤‍🔥211.8%
👍211.8%
⚡15.88%
🆒15.88%
👏15.88%
🥰15.88%

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 7 of the 8 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 6 August 2026 to 27 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.

Recent posts

27 Aug 2026, 07:31 UTC8 views1 reactionsread 31 August 2026
Photo

Сварка амортизаторов: с 500 до 1000 изделий в смену Полный кейс, включая разрушающий контроль качества → irobo.tech/welding_absorbers #кейс_innotech

❤1

25 Aug 2026, 07:01 UTC13 views3 reactionsread 31 August 2026
Photo

«Нам нужен робот. Сделайте предложение. Только чтобы недорого, быстро и под ключ» — привычный запрос для интегратора, но нетривиальная задача при полном отсутствии чертежей и исходных данных. Рассказали в нашей статье, почему роботизацию невозможно купить «по телефону» и с какими ещё препятствиями сталкиваются предприятия на самом старте проекта. #статья_innotech

❤3

20 Aug 2026, 12:45 UTC20 views3 reactionsread 31 August 2026
Photo

Полноценный роботизированный участок на базе коллаборативного робота Для автоматизации процессов не всегда нужны сложные многокомпонентные линии и масштабная перестройка цеха. Полноценную, готовую к работе ячейку можно спроектировать и развернуть на основе всего одного коллаборативного робота. Такой компактный участок эффективно закрывает рутинные задачи бизнеса: Компактность: организация рабочей зоны без барьеров…

❤1🔥1🆒1

18 Aug 2026, 07:36 UTC20 views2 reactionsread 31 August 2026
Photo

Одна правильно подобранная технология меняет всё Полный кейс → irobo.tech/platinum_welding #кейс_innotech

⚡1🔥1

14 Aug 2026, 07:31 UTC27 views2 reactionsread 31 August 2026
Photo

Один робот вместо двух операторов Полный кейс → https://irobo.tech/tending_collaborative_robot #кейс_innotech

❤1🥰1

11 Aug 2026, 12:44 UTC26 viewsread 31 August 2026
Photo

Перед отправкой станок проходит приемку на заводе-изготовителе FAT, Factory Acceptance Test — регламентированная процедура перед отгрузкой. Восемь этапов: от сверки документации и комплектации до тестовой обработки детали. Разобрали весь регламент по шагам — что проверяем на каждом этапе и чем заканчивается приемка Полный разбор → https://irobo.tech/priemka-stanka-fat #статья_innotech

10 Aug 2026, 12:01 UTC22 views1 reactionsread 31 August 2026
Photo

Обсудили роботизацию и дополненную реальность в процессе ремонта локомотивов Ремонт локомотива — это сотни операций над тяжелыми и сильно изношенными узлами: дефектоскопия, наплавка, сварка, сборка и другие. Работа физически тяжелая и нестабильная по качеству, так как результат зависит от квалификации исполнителя. Роботизация и цифровые подсистемы делают повторяемость предсказуемой, а контроль — задокументированным.…

🔥1

6 Aug 2026, 12:58 UTC28 views5 reactionsread 31 August 2026
Photo

От приемки в Китае до отгрузки в России После успешного прохождения предварительной приёмки (FAT) на территории производителя в Китае, горизонтальный фрезерный центр HMC 1000 прибыл на производственную площадку заказчика. Из-за внушительных габаритов и массы оборудования процесс разгрузки потребовал нестандартных технических решений. Для безопасного снятия станка с платформы задействовали два автокрана. Наша коман…

❤‍🔥2👍2👏1

Showing the 8 most recent of 8 posts we hold for @innotech_ekb. 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.

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

“INNOTECH | Автоматизация производств” (@innotech_ekb), 41 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/innotech_ekb.

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.