Telegram RegisterThe public register of Telegram

Channel

Digital Manufacturing

@skmfg

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

2,462subscribers

+1 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001077654142
TypeChannel
Username@skmfg
Created5 April 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/skmfg

Growth

2,4612,4622,461.55 August 2026 — 2,461 subscribers6 August 2026 — 2,461 subscribers9 August 2026 — 2,462 subscribers5 August 20269 August 2026
3 measurements spanning 3 days, net +1. 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 2,461–2,462 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 00:522,462+1
6 Aug 2026, 05:352,461no change
5 Aug 2026, 22:022,461first reading

Engagement

12 posts held, back to 24 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.6%
avg views ÷ 2,462 subscribers
Avg views / post
655
1 post measured
Reaction rate
1.98%
reactions ÷ views · ER floor
Posts in window
2
of 12 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 15 July 2026
Posts held12 (24 March 202615 July 2026)
Views total655
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:29 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
6m 25s
Average length
2m 08s

Measured directly from 3 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

143 reactions across 11 posts, in 12 distinct kinds. The most used accounts for 51.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7351.0%
2114.7%
👏2014.0%
🤔64.20%
🤯64.20%
💯53.50%
🎉42.80%
😱42.80%
👾10.699%
😁10.699%
🤩10.699%
🦄10.699%

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 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 143reactions 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 March 2026 to 15 July 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
2
across the posts below
Posts paid on
2
of 11 we hold a reading for · 18%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @skmfg. 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 March 2026 to 15 July 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

15 Jul 2026, 09:12 UTC655 views13 reactionsread 7 August 2026
Photo

Возвращаясь к моему тексту осени 2022 года. Если смотреть на историю советской микроэлектроники через закон Эшби, СССР проиграл не просто гонку за чипами. Он проиграл новой сложности отрасли, на которую пытался ответить старыми методами управления. Микроэлектроника была создана не приказом министерства и стала не отдельным производством и не набором заводов, а глобальной экосистемой. В ней одновременно должны были

💯5👍43😱1

10 Jul 2026, 18:00 UTC950 views19 reactionsread 7 August 2026

Сильные проигрывают тем, кто раньше понял: прежняя сила уже стала инерцией. Моя новая колонка в Forbes — о том, как технический прогресс учит вовремя меняться. Сегодня это особенно важная тема. Система управления может быть сильной: с опытом, оборудованием, людьми, брендом, рынком, регламентами, связями и большими заказчиками. Но именно эта сила иногда мешает увидеть момент, когда меняется сама логика конкуренции.

👏10👍6🎉3

29 May 2026, 07:09 UTC≈1,010 views14 reactionsread 7 August 2026
Forwarded from @LayerLogicVideo

Китай разгоняется За первые четыре месяца 2026-го производство 3D-принтеров в Китае выросло на 51% к прошлому году. Экспорт — более чем вдвое: 2,46 млн единиц за четыре месяца. Девять из десяти бытовых принтеров в мире сделаны там. Видно невооруженным взглядом, как Китай затмевает прототипирование оборудованием для серийного производства продукции. И пусть эти серии будут малыми. Пока. Раньше принтер стоял у конст

👍113

1 May 2026, 10:04 UTC≈1,260 views13 reactionsread 7 August 2026

🏭 Как искусственный интеллект спасает глобальные цепочки поставок: передовой опыт Siemens Знаете ли вы, что почти 80% компаний даже не представляют, сколько у них поставщиков второго (tier-2) и третьего (tier-3) уровня? Именно в этих глубоких, непрозрачных зонах логистики рождаются самые масштабные кризисы, такие как недавний глобальный дефицит полупроводников. Чтобы решить проблему таких слепых зон, исследователи

👍82👾1🤩1🦄1

25 Apr 2026, 18:17 UTC≈1,510 views22 reactions1 Starread 7 August 2026

Мы живем в удивительное время, когда барьеров для входа в сложное инженерное творчество и производство больше нет. Сегодня ученик седьмого класса способен самостоятельно создать полноценную лабораторную установку для исследования аэродинамических явлений. Еще недавно создание подобных испытательных стендов требовало промышленных ресурсов. Сейчас же CAD-моделирование, 3D-печать, лазерная резка, гравировка и даже наст

👍136🤔2👏1

20 Apr 2026, 06:41 UTC909 views11 reactions1 Starread 7 August 2026
Forwarded from @sinthesiumPhoto

AMSupplyCheck или почему мы платим в 50 раз больше просто потому, что ленимся искать Каждый раз, когда нужно заказать серию деталей на стороне, закупщики предприятий пишут десяток писем, прикрепляют STEP-файлы, и ждут ответ по три дня. Половина производств вообще может не ответить, а у оставшихся цены могут гулять в космосе. Сейчас для аддитивки появился инструмент, который хотелось бы иметь многим. Называется он A

👍7👏3🤔1

13 Apr 2026, 10:48 UTC≈1,730 views11 reactionsread 7 August 2026
Video

Видео: "мы доказали, что производство в США может быть дешевле, чем в Китае" Роботизация 3D-печати кардинально меняет глобальную систему разделения труда и традиционные цепочки создания ценности, переводя их от массового стандартизированного производства к локальному и кастомизированному. Эти изменения проявляются в ключевых направлениях: Децентрализация и локализация производства (решоринг): традиционная модель по

👍6🤯3👏2

12 Apr 2026, 07:54 UTC965 views15 reactionsread 7 August 2026
Video

Тотальный контроль или шаг в будущее? Зачем рабочие носят камеры и при чем здесь опыт РЖД. В сообществах активно обсуждают практику индийских заводов: рабочих носят налобные камеры, непрерывно фиксирующие визуальные данные от первого лица. Многие видят в этом в первую очередь сбор данных для обучения роботов. Но на самом деле цели гораздо прагматичнее и шире. Индустрия использует носимые камеры для решения (как ми

👍10🤔3👏1😁1

2 Apr 2026, 15:51 UTC791 views7 reactionsread 7 August 2026
Forwarded from @riseofHRVideo

🇨🇳 29 марта в Китае запущена первая полностью автоматизированная линия по производству человекоподобных роботов Эра массового производства гуманоидов официально наступила. В районе Наньхай города Фошань (провинция Гуандун) заработала фабрика, которая переводит индустрию робототехники от лабораторных прототипов к промышленным масштабам, сравнимым с производством электромобилей и смартфонов. Проект реализован в партне

👏3👍21🎉1

29 Mar 2026, 10:32 UTC≈1,860 views7 reactionsread 7 August 2026

Подводим итоги выставки аддитивных технологий TCT Asia 2026 TCT Asia 2026: 5 технологических прорывов, которые изменят производство telegra.ph/TCTAsia2026-03-28-2 В аудиоформате - 15 минут в лёгком диалоге, с шутками и эмоциями - в новом эпизоде подкаста "Цифровое производство": Yandex | Apple В 2027 выставка пройдёт 27-29 мая, в пяти павильонах нового выставочного центра Shanghai New International Expo Center.

🤯32👍2

24 Mar 2026, 09:52 UTC≈1,180 views11 reactionsread 7 August 2026
Forwarded from @sinthesiumPhoto

Синтезиум на TCT Asia 2026 Часть 1 Команда Синтезиум вместе с предпринимателями экспедиции, организованной Клубом производственников Сколково, побывала в Китае: трудилась на заводах заводах лидеров аддитивных и композитных технологий, а также три дня провела на выставке TCT Asia 2026. Эмоции и личные впечатления оставим для отдельного материала, который уже готовится. Здесь мы поговорим только о конкретике. Итак, к

4👍4😱3

Showing the 12 most recent of 12 posts we hold for @skmfg. 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.

Citation-graph rank

Citation-graph rank — 283,781 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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.

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

“Digital Manufacturing” (@skmfg), 2,462 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/skmfg.

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.