Channel
@ls_milling
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
268subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002825398701 |
|---|---|
| Type | Channel |
| Username | @ls_milling |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/ls_milling |
Other / unclassifiable — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 01:39 | 268 | +1 |
| 9 Sept 2026, 12:37 | 267 | +1 |
| 30 Aug 2026, 11:27 | 266 | -2 |
| 15 Aug 2026, 02:09 | 268 | +1 |
| 8 Aug 2026, 08:50 | 267 | no change |
| 7 Aug 2026, 16:02 | 267 | first reading |
17 posts held, back to 3 February 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 4 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
19 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 68.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 13 | 68.4% | |
| 👍 | 3 | 15.8% | |
| 😁 | 2 | 10.5% | |
| ❤ | 1 | 5.26% |
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 6 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 19 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 3 February 2026 to 4 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.
⭐️ФРЕЗЕРОВАННЫЙ КАРКАС ПОД НАНЕСЕНИЕ КЕРАМИКИ ИЗ КОБАЛЬТ-ХРОМА (CoCr) многие не знают почему каркас от уровня имплантата лучше фрезеровать, чем печатать на селективном лазерном спекании. Разбираемся 🔽 Фрезерованные конструкции обладают высокой точностью, так как имеют однородную структуру металла. Что же происходит у 3D-печати? У неё спекание метала послойное, из-за этого образуется шершавость по всей конструкции и …
🔥2
➡️ Каркас под металлокерамику подготовка конструкции под нанесение
Video message, posted without a caption
Video message, posted without a caption
👍2
➡️большое количество станков сухого фрезерования Работаем правильно с материалом: под каждый зуб подбираем диск нужного размера, что дает точную градации и цвета, и прочности. 🌟 Принимаем заказы как от модели, так и от STL-файла, получить прайс и заказать работу ➡️@lab_stars
⭐️Друзья, показываем ПОЛНЫЙ ПРОЦЕСС размещения конструкции на диске — балки на 6 имплантатах — и каких ошибок можно избежать Такое не показывают другие фрезерные центры. Подпишись и перешли другу-технику ⭐ Фрезерный центр LabStars 📍Санкт-Петербург / Череповец
❤1👍1
⭐️Мы начинаем! В этот раз проводим трансляцию на YouTube — подключайтесь по этой ссылке Хотите задать вопрос — напишите его в чате на YouTube и мы ответим вам прямо на трансляции
У нас часто спрошивают почему печатает бюгели способом селективного лазерного спекания — отвечаем
Video message, posted without a caption
Размещение балочной конструкции в hyperDENT с применением оригинальных библиотек Открываем 2026 год с нового вида прямых трансляций проекта Dental Squad — теперь транслируем прямиком из фрезерного центра! В это воскресенье покажем наше оборудование, разместим живую работу на диске и запустим станок. 💫 Прямая трансляция уже в это воскресенье, 22 февраля, в 19:00 на канале LabStars чтобы не пропустить эфир, не забуд…
Какой толщины должны быть конструкции для выпилки дисиликата лития ⭐ С фрезерным центром LabStars вы можете быть уверены в результате — мы контролируем качество на каждом этапе и при необходимости помогаем скорректировать конструкцию Фрезерный центр LabStars Заказать работу уже сейчас ➡️@lab_stars
Video message, posted without a caption
Showing the 12 most recent of 17 posts we hold for @ls_milling. 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“LabStars | Фрезерный центр” (@ls_milling), 268 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ls_milling.
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.