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Channel

MIL Team | Community

@mil_team_partners

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

188subscribers

+2 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002044143571
TypeChannel
Username@mil_team_partners
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 September 2026
Measurements held5
Confirmed unchanged2 times, most recently 7 September 2026
On Telegramt.me/mil_team_partners

Growth

1861881876 August 2026 — 186 subscribers7 August 2026 — 186 subscribers15 August 2026 — 188 subscribers22 August 2026 — 187 subscribers28 August 2026 — 188 subscribers6 August 202628 August 2026
5 measurements spanning 22 days, net +2. 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 186–188 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 19:03188+1
22 Aug 2026, 07:28187-1
15 Aug 2026, 15:44188+2
7 Aug 2026, 07:32186no change
6 Aug 2026, 20:31186first reading

Engagement

12 posts held, back to 24 July 2025the 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 12 posts for this entry, the most recent from 5 November 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

139 reactions across 12 posts, in 12 distinct kinds. The most used accounts for 49.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6949.6%
1812.9%
👀107.19%
❤‍🔥96.47%
🆒96.47%
👌64.32%
👍64.32%
👏42.88%
32.16%
🎉21.44%
👾21.44%
🤓10.719%

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 12 of the 12 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 24 July 2025 to 5 November 2025, 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
23
across the posts below
Posts paid on
11
of 12 we hold a reading for · 92%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mil_team_partners. 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 12 most recent posts we hold for this entry, published 24 July 2025 to 5 November 2025. 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

5 Nov 2025, 12:42 UTC399 views3 reactionsread 7 August 2026

⚡️Молния, салют! Очень ищем новых коллег! ➡️DevOps / системный администратор (part-time, удалённо) Нужен инженер, который возьмёт на себя поддержку серверов и CI/CD. В работе — 6 Ubuntu-серверов, Kubernetes-кластер и внутренние сервисы (InsightStream, Compressa). Что важно знать: Linux, базовый Python, Kubernetes, Helm, RabbitMQ, Qdrant, GitHub Actions. Формат — удалённо, ~10 часов в неделю, гибкий график. Главно

🔥3

24 Oct 2025, 10:16 UTC498 views14 reactions3 Starsread 7 August 2026

🟤Вчера мы провели семинар о Генеративном Проектировании и посмотрели на тему сразу с четырёх сторон: CAD, архитектура/BIM, аналоговая электроника и промышленные процессы. Что обсудили? 🔡CAD & реверс-инжиниринг. Кирилл Субботин рассказал об истории CAD, проблемах с дефицитом открытых данных и о «замысле конструктора», который трудно извлекается алгоритмами. Поговорили о том, почему параметрические модели и разные ге

🔥10👌2👀1👾1

23 Oct 2025, 14:59 UTC540 views3 reactions1 Starread 7 August 2026

➡️Мы начинаем наш семинар! ⛓️‍💥Подключаемся по ссылке @mil_team_partners

🔥3

22 Oct 2025, 09:51 UTC445 views8 reactions4 Starsread 7 August 2026
Photo

Всем привет! Уже завтра ждем всех на наш семинар по Генеративному проектированию. ⚡ Встречаемся по ссылке в 18.00 📍А легко поставить себе встречу в календарь можно ВОТ ТУТ. @mil_team_partners

🔥5❤‍🔥2👌1

14 Oct 2025, 15:08 UTC425 views11 reactions2 Starsread 7 August 2026

📌Для вашего удобства сделали ссылку на TimePad, чтобы мероприятие не затерялось! Зарегистрироваться и добавить в календарь ТУТ @mil_team_partners

🔥72🤓1🆒1

14 Oct 2025, 13:25 UTC≈4,470 views13 reactions3 Starsread 7 August 2026
Photo

👾 Как ИИ меняет проектирование? Обсудим это на научном семинаре по Генеративному Проектированию уже 23 октября в 18:00 (онлайн – ссылка появится в канале в день семинара). В программе: — Кирилл Субботин → индустрия CAD и инженерные ассистенты — Тимур Арсланов → ИИ и BIM на практике — Вадим Полулях → Layout Copilot для электроники — Марат Зайдуллин → вызовы и будущее генеративного проектирования 💡 Модератор дискусси

👍6🔥52

22 Aug 2025, 11:10 UTC405 views14 reactions1 Starread 7 August 2026
Photo

Привет! Недавно мы делились историей про наш R&D-проект MedSyn 🩺 — генерацию синтетических медицинских текстов на русском языке. А теперь — приятный апдейт. Почти год прошёл с конференции ECML PKDD 2024, и за это время наша статья про MedSyn оказалась в TOP-3 по цитируемости в ADS-треке 💪 Из 56 работ выше нас только статьи про LLM для low-resource языков и DL-прогнозирование солнечных вспышек. Очень радует видеть

🔥102🎉2

14 Aug 2025, 12:29 UTC386 views10 reactions1 Starread 7 August 2026
Photo

💻 Vibe Coding: как AI-ассистенты экономят часы работы Саша Прутько, ресерчер лаборатории MIL, делится личным опытом, как использует AI-ассистентов в ежедневной разработке. В статье — три конкретных сценария, проверенных в реальных проектах: ⚙️ Рефакторинг и устранение техдолга — Claude Sonnet помогает находить дублирование кода и предлагать аккуратные архитектурные решения 🚀 Оптимизация распределённого обучения —

🔥6👀21👾1

7 Aug 2025, 07:56 UTC354 views13 reactions2 Starsread 7 August 2026
Photo

Vibe Researching: Grok Привет, это Санджар Мадимаров, Research Engineer лаборатории :) Сегодня в карточках — Grok DeepSearch от xAI: инструмент, который хорошо справляется с задачей «быстро собрать первичную картину». Я начал с простого запроса: recent GNN papers arxiv 2025 📝 На выходе — список ссылок, пара таблиц и сжатый сводный текст. Grok в Think-режиме сам разложил, какие статьи действительно свежие, какие д

🆒6👏43

31 Jul 2025, 08:38 UTC366 views19 reactions2 Starsread 7 August 2026
Photo

Vibe Researching: Elicit 📖 Привет! Сегодняшней статьёй делится Юлия Кузькина, ресерчер-инженер в MIL Team. Юля рассказывает, как в процессе изучения темы structured sparsity она использовала AI-инструмент Elicit — помощника в анализе научной литературы. С его помощью можно быстро находить релевантные статьи, формировать обзор и собирать первые выводы для дальнейшего ресерча или подготовки презентаций. 🔍 Юля расска

🔥853👀3

25 Jul 2025, 07:52 UTC689 views9 reactions1 Starread 7 August 2026
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Коллеги, найдитесь! 🙃 Ищем героев в следующие направления: 1. Компрессия больших моделей 🔗 откликнуться 2. Сенсоры и временные ряды 🔗 откликнуться Если знаете классных ребят — будем очень признательны за рекомендации. Спасибо! 🙌 @mil_team_partners

👀4👌3❤‍🔥2

24 Jul 2025, 09:41 UTC438 views22 reactions3 Starsread 7 August 2026
Photo

Researching via Scholar Inbox. Привет! Всё больше рутинных (и не очень) задач в науке автоматизируется — от поиска литературы до анализа данных и генерации гипотез. В свежем обзоре AI4Research (arXiv:2507.01903) собраны десятки примеров того, как ИИ-инструменты уже интегрируются в научную работу. 📌 Вдохновившись, мы запускаем серию постов о тулзах, которые могут облегчить и ускорить жизнь исследователя (а может быт

🔥12❤‍🔥53🆒2

Showing the 12 most recent of 12 posts we hold for @mil_team_partners. 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 2 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“MIL Team | Community” (@mil_team_partners), 188 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/mil_team_partners.

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.