Education — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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
7 measurements spanning 41 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 740–742 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:57
741
-1
9 Sept 2026, 11:19
742
+1
30 Aug 2026, 07:06
741
-1
24 Aug 2026, 04:13
742
+1
16 Aug 2026, 04:16
741
+1
8 Aug 2026, 02:03
740
no change
7 Aug 2026, 18:10
740
first reading
Engagement
10 posts held, back to 8 April 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 10 posts for this entry, the most recent from 17 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 41s
Average length
5m 41s
Measured directly from 1 video 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
154 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 55.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
85
55.2%
🔥
32
20.8%
👍
18
11.7%
🎉
5
3.25%
❤🔥
4
2.60%
🦄
3
1.95%
💯
2
1.30%
😍
2
1.30%
🕊
1
0.649%
🤓
1
0.649%
🤩
1
0.649%
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 10 of the 10 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 154 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 8 April 2026 to 17 June 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
8
across the posts below
Posts paid on
5
of 10 we hold a reading for · 50%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aerospacecapital. 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 10 most recent posts we hold for this entry, published 8 April 2026 to 17 June 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.
Директор по продажам и маркетингу Аэроспейс Кэпитал номинирована на премию «Молодой промышленник года» 🚀
Цель премии - поддержка росийских предпринимателей в возрасте до 40 лет, создающих производства с использование новых технологии и развивающие экономику страны.
⚙ Хотите проголосовать?
Зайдите на сайт: https://mprom.site выбирайте регион «Московская область».
Далее в списке вы увидите Валерию Васильевну Барашко…
Записали урок для онлайн-школы проекта «Space-π»!
Школа предназначена для учеников 7-11 классов, увлеченных космосом, спутникостроением и радиолюбительством.
Пройдя все уроки и правильно ответив на контрольные вопросы - можно выиграть поездку на космодром Восточный на пуск ракеты. 🚀
Удачи и до встречи на космодроме!
Space-π запускает онлайн-уроки по спутникостроению🚀
Хочешь понять, как создаются настоящие космические аппараты и как они работают на орбите?
«Space-π класс» — это бесплатные онлайн-уроки, где ты изучишь это не по учебникам, а на реальных космических проектах.
💫обучение от экспертов отрасли
💫партнёры: МГУ, СибГУ, ОГУ, ИСОИ РАН, Геоскан, Аэроспейс Кэпитал и др.
💫работа с реальными спутниками и данными
💫знакомство с…
Сегодня участвуем в конференции «Технологии Геоскана 2026». Контейнер «Аэроспейс 16U» представлен среди последних разработок коллег из Геоскана по треку Космос.
Компания «Геоскан» впервые в России в 2025 году запустила CubeSat формата 16U «Инносат16». Также, в декабре 2025 года ещё один CubeSat 16U «Лобачевский» на платформе Геоскан был отделен на орбите и сегодня в рамках конференции состоялось прямое подключение к…
18 и 19 апреля состоится Московский космический фестиваль «КосМос»!
В этом году команда Аэроспейс Кэпитал предоставит пусковой контейнер “Аэроспейс 16U”, который будет находиться в выставочной зоне фестиваля.
В субботу в 17:15 пройдет сессия «Космос как бизнес», в которой примет участие Директор по продажам и маркетингу Валерия Барашкова.
Приглашаем всех желающих. Вас ждет встреча космонавтами, сессии с представит…
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Со знаменитого «Поехали!» советского летчика Юрия Гагарина для человечества началась новая исследовательская эра. После него в космосе побывали пилоты из Китая, Индии, Бразилии, ОАЭ. Сегодня партнерство стран БРИКС набирает высоту: «десятка» обменивается данными со спутников, планирует совместные миссии.
На реализации каких проектов сосредоточены партнеры? Смотрите в наше…
Открылась выставка "Космическое образование: Старт в Будущее" в павильоне "Космонавтика и Авиация" ВДНХ.
В качестве экспоната предоставлен пусковой контейнер «Аэроспейс 16U». В 2025 году с помощью 4 контейнеров «Аэроспейс 16U» на орбите впервые было успешно отделено 4 научно-образовательных спутника Кубсат 16U проекта «Space-π»: «Скорпион», «Политех Юниверс-6», «Лобачевский» и «Аист-СТ».
Помимо запусков спутников п…
👍6❤5🎉2🔥2😍2
Showing the 10 most recent of 10 posts we hold for @aerospacecapital. 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
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Aerospace Capital 🛰🚀” (@aerospacecapital), 741 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/aerospacecapital.
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.