Telegram RegisterThe public register of Telegram
Telegram profile photo for MWS AI

Channel

MWS AI

@mtsai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

7,111subscribers

-130 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001593715747
TypeChannel
Username@mtsai
DescriptionМы разрабатываем решения и продукты на базе технологий NLP, CV и Gen AI. Формируем AI-сообщество, сотрудничаем с ведущими технологическими компаниями и экспертами, проводим исследования, инвестируем в перспективные проекты и команды.
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/mtsai

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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.

Growth

7,1117,2417,1765 August 2026 — 7,241 subscribers6 August 2026 — 7,241 subscribers6 August 2026 — 7,240 subscribers9 August 2026 — 7,234 subscribers12 August 2026 — 7,221 subscribers15 August 2026 — 7,204 subscribers18 August 2026 — 7,188 subscribers21 August 2026 — 7,182 subscribers24 August 2026 — 7,180 subscribers27 August 2026 — 7,174 subscribers31 August 2026 — 7,176 subscribers3 September 2026 — 7,167 subscribers9 September 2026 — 7,149 subscribers25 September 2026 — 7,150 subscribers4 October 2026 — 7,135 subscribers11 October 2026 — 7,155 subscribers14 October 2026 — 7,154 subscribers17 October 2026 — 7,149 subscribers20 October 2026 — 7,142 subscribers23 October 2026 — 7,139 subscribers26 October 2026 — 7,135 subscribers29 October 2026 — 7,130 subscribers1 November 2026 — 7,123 subscribers4 November 2026 — 7,115 subscribers8 November 2026 — 7,111 subscribers5 August 20268 November 2026
25 measurements spanning 94 days, net -130. 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 7,092–7,261 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
8 Nov 2026, 08:497,111-4
4 Nov 2026, 22:407,115-8
1 Nov 2026, 11:557,123-7
29 Oct 2026, 15:097,130-5
26 Oct 2026, 13:167,135-4
23 Oct 2026, 18:167,139-3
20 Oct 2026, 12:157,142-7
17 Oct 2026, 13:107,149-5
14 Oct 2026, 09:367,154-1
11 Oct 2026, 01:427,155+20
4 Oct 2026, 21:597,135-15
25 Sept 2026, 02:597,150+1
9 Sept 2026, 03:587,149-18
3 Sept 2026, 18:027,167-9
31 Aug 2026, 09:277,176+2
27 Aug 2026, 23:477,174-6
24 Aug 2026, 13:537,180-2
21 Aug 2026, 04:547,182-6
18 Aug 2026, 10:527,188-16
15 Aug 2026, 05:387,204first reading

Engagement

31 posts held, back to 20 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 28 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.9%
avg views ÷ 7,111 subscribers
Avg views / post
917
14 posts measured
Reaction rate
2.98%
reactions ÷ views · ER floor
Posts in window
16
of 31 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 10 November 2026
Posts held31 (20 July 2026 – 10 November 2026)
Views total12,832
Reactions total383
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:01 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

Photos
≈1,280
Videos
≈174
Links
≈681

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
6m 14s
Average length
53s

Measured directly from 7 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

575 reactions across 27 posts, in 4 distinct kinds. The most used accounts for 29.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 521998346492055564217129.7%
❤17129.7%
custom 521967974201324871815126.3%
custom 52198436637350706268214.3%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 28 of the 31 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 592 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 20 July 2026 to 10 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
5
across the posts below
Posts paid on
4
of 28 we hold a reading for · 14%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mtsai. 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 31 most recent posts we hold for this entry, published 20 July 2026 to 10 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: 2 of 16 posts held from the last 30 days (12.5%) 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).

10 Nov 2026, 12:57 UTC355 views19 reactionsread 11 November 2026
Photo

Хотели узнать об MWS AI Cowork больше? 19 ноября с 11:00 до 12:30 (МСК) проведём вебинар о том, какие рабочие задачи можно поручить MWS AI Cowork и как оценить пользу от его внедрения. Екатерина Окунева, директор по продукту MWS AI Cowork, покажет возможности системы, поделится результатами внутреннего пилота и проведёт практический мастер-класс. Что в программе: ✅ Возможности и границы ИИ-помощника Объясним, что…

❤7custom 52199834649205556427custom 52198436637350706263custom 52196797420132487182

9 Nov 2026, 10:07 UTC543 views34 reactionsread 11 November 2026
Photo

Собрали ИИ-команду для клиентского сервиса 🔍 Объединили ИИ-оператора, ИИ-суфлёра и WordPulse в MWS AI Клиентский сервис. Мультиагентная система обрабатывает до 100 тыс. диалогов в сутки, а low-code инструменты позволяют заказчикам самостоятельно менять работу ИИ-агентов за считанные дни и добавлять новых за недели. Это помогает контакт-центрам справляться с ростом обращений без пропорционального расширения штата и …

custom 521967974201324871812custom 521998346492055564212custom 52198436637350706269❤1

6 Nov 2026, 07:01 UTC835 views32 reactionsread 11 November 2026
Photo

MWS AI получила награду в номинации LegalTech премии «Цифровой юрист года — 2026» В номинации отмечают проекты, которые помогают решать юридические задачи с помощью технологий. В этом году LegalTech стала самой конкурентной категорией премии, собрав около 40 заявок. Юристы MWS AI вместе с продуктовой командой участвовали в разработке ИИ-решения для проверки договоров по чек-листам и анализа правок в документах. Оно…

custom 521998346492055564213❤10custom 52196797420132487189

3 Nov 2026, 14:58 UTC852 views52 reactionsread 11 November 2026
Video

Пора передать рутину MWS AI Cowork ▶️ Екатерина Окунева, директор по продукту MWS AI Cowork, рассказывает, какую работу ИИ-агент берёт на себя и как проходит путь от поручения до готового результата. Знакомьтесь с новым продуктом на сайте и записывайтесь на демо со своими задачами ⚡️

❤25custom 521998346492055564214custom 521967974201324871812custom 52198436637350706261

2 Nov 2026, 14:44 UTC956 views30 reactionsread 11 November 2026
Video

Из Excel в интерактивный дашборд с MWS AI Cowork 💬 В MWS AI Cowork можно загрузить Excel-файл и своими словами описать задачу, например, исключить из расчётов строки с определённым статусом, сравнить данные за два периода или построить графики. Агент обработает таблицу и подготовит результат. Показываем на примере аналитики продаж. Загружаем выгрузку и просим собрать интерактивный дашборд с показателями, графиками …

❤16custom 52199834649205556428custom 52196797420132487186

2 Nov 2026, 09:51 UTC792 views10 reactionsread 11 November 2026
Forwarded from @mts_linkPhoto

Выход на новый уровень: встречайте Почту и Календарь🚀 ⚡️ Мы запустили сразу два новых сервиса — Почту и Календарь в дополнение к Диску и Документам. Теперь офисные решения доступны прямо в пространстве МТС Линк: можно общаться, проводить встречи, работать с задачами и документами, хранить файлы и планировать рабочий день. 📩 Почта — всё необходимое для привычной работы с письмами: поиск, папки, цепочки и отложенная …

❤10

2 Nov 2026, 09:51 UTC671 views7 reactionsread 11 November 2026

У МТС Линк теперь есть Почта и Календарь 🗒 Работать с письмами, планировать встречи и бронировать переговорные можно в одном приложении. В дальнейшем команда планирует добавить в эти сервисы ИИ-функции, а о возможностях, доступных уже сейчас, читайте в посте ⬇️

custom 52199834649205556425custom 52198436637350706262

30 Oct 2026, 13:48 UTC848 views37 reactionsread 11 November 2026
Video

Задачи в Jira под контролем MWS AI Cowork 🔍 В этом скринкасте ИИ-агент собирает сводку по задачам в Jira, выделяет ближайшие сроки и по поручению сотрудника меняет статус задачи и добавляет комментарий. Запрос формулируется на естественном языке, например, «Расскажи, что там по моим задачам в Jira». После подключения агент находит назначенные задачи и показывает их статусы, сроки и приоритеты прямо в чате. В ходе …

custom 521998346492055564215custom 521967974201324871812custom 52198436637350706269❤1

29 Oct 2026, 12:33 UTC763 views28 reactions1 Starread 11 November 2026
Video

Свести финансовые отчёты и найти расхождения поможет MWS AI Cowork 🗒 Новый продукт MWS AI Cowork помогает сводить отчёты о капитальных затратах, проверять исполнение плана и готовить документы для руководства. В ходе выполнения задачи MWS AI Cowork: ✅ Приводит данные из разных источников к единому виду. ✅ Сопоставляет данные и рассчитывает показатели по заданным правилам. ✅ Проверяет полноту и согласованность данн…

❤13custom 521967974201324871810custom 52198436637350706265

28 Oct 2026, 12:41 UTC≈2,290 views45 reactions1 Starread 11 November 2026
Photo

Привет, это MWS AI Cowork, с какой задачи начнём? 👀 При работе над проектом много времени уходит на сбор материалов, сверку цифр и подготовку документов. Мы создали MWS AI Cowork, чтобы эти операции можно было поручить ИИ-исполнителям и быстрее переходить от исходных данных к решениям. Это универсальный ИИ-агент с чат-интерфейсом. Он самостоятельно планирует и выполняет задачи в режиме одного окна: ищет и анализиру…

custom 521967974201324871816custom 521998346492055564215custom 52198436637350706268❤6

Showing the 12 most recent of 31 posts we hold for @mtsai. 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 11 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

МТС
@mtsofficial · 48,124
Telegram ranks this channel #34 of 96 here — alongside 95 others — read 25 August 2026
Злой коллега
@zloy_kollega · 44,686
Telegram ranks this channel #41 of 98 here — alongside 97 others — read 28 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“MWS AI” (@mtsai), 7,111 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/mtsai.

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.