Telegram RegisterThe public register of Telegram

Channel

CS Space

@csspace

3 usernames

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

2,813subscribers

+16 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-1002490712344
TypeChannel
Usernames@csclub @csspace @csspace_io
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/csspace

Growth

2,7972,8132,8055 August 2026 — 2,797 subscribers6 August 2026 — 2,797 subscribers6 August 2026 — 2,798 subscribers6 August 2026 — 2,798 subscribers9 August 2026 — 2,799 subscribers9 August 2026 — 2,799 subscribers9 August 2026 — 2,800 subscribers12 August 2026 — 2,813 subscribers12 August 2026 — 2,813 subscribers12 August 2026 — 2,813 subscribers5 August 202612 August 2026
10 measurements spanning 7 days, net +16. 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 2,795–2,815 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:242,813no change
12 Aug 2026, 13:052,813no change
12 Aug 2026, 06:422,813+13
9 Aug 2026, 17:422,800+1
9 Aug 2026, 09:512,799no change
9 Aug 2026, 07:142,799+1
6 Aug 2026, 17:162,798no change
6 Aug 2026, 14:402,798+1
6 Aug 2026, 05:162,797no change
5 Aug 2026, 23:042,797first reading

Engagement

7 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
71.3%
avg views ÷ 2,813 subscribers
Avg views / post
2,010
3 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
3
of 7 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 2 August 2026
Posts held7 (10 June 20262 August 2026)
Views total6,020
Reactions total102
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:09 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.

Reaction mix

244 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 50.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12450.8%
🔥7631.1%
4418.0%

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 7 of the 7 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 244reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 10 June 2026 to 2 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.

Recent posts

2 Aug 2026, 14:03 UTC≈1,500 views37 reactionsread 7 August 2026
Photo

Теоретико-игровые модели образования сложных сетей: от правила 6 рукопожатий до agentic web ⬇️ – Страница мероприятия – 5 августа, среда, 19:00 – 20:30 – Мраморный зал, ПОМИ РАН, наб. реки Фонтанки, 27, Санкт-Петербург – Пожалуйста, не забудьте зарегистрироваться — это необходимое условие посещения ⭐️ О лекторе Иван Самойленко — математик, младший научный сотрудник MIRAI и ВШЭ, аспирант МФТИ. В прошлом тимлид матем

21🔥115

29 Jul 2026, 07:26 UTC≈2,020 views22 reactionsread 7 August 2026
Photo

Быстрые и компактные структуры для RMQ ⬇️ – Страница мероприятия – 4 августа, вторник, 19:00 – 20:30 – Мраморный зал, ПОМИ РАН, наб. реки Фонтанки, 27, Санкт-Петербург – Пожалуйста, не забудьте зарегистрироваться — это необходимое условие посещения ⭐️ О лекторе Николай Мальковский — кандидат физико-математических наук; Principal Engineer, Chebyshev Research Center 📢 Анонс Range minimum query — это довольно известн

🔥985

23 Jul 2026, 12:51 UTC≈2,500 views43 reactionsread 7 August 2026
Photo

Как LLM и AI-агенты меняют математику и компьютерные науки? ⤵️ Во вторник, 14 июля, мы провели митап о том, как LLM входят в реальную исследовательскую практику. Уже сегодня модели помогают доказывать теоремы, готовить и рецензировать статьи, писать код, выдвигать гипотезы и проводить эксперименты. Вместе с участниками обсудили возможности и ограничения этих инструментов и то, как они меняют роль человека в науке.

22🔥147

7 Jul 2026, 16:52 UTC≈3,390 views37 reactionsread 7 August 2026
Photo

Митап: LLM и агенты в математике и компьютерных науках ⤵️ Рассуждающие модели за последний год научились решать олимпиадные задачи, доказывать теоремы и предлагать исследовательские гипотезы. Если ты студент, исследователь или преподаватель — это уже не абстрактный вопрос "куда движется AI", а вполне конкретный: как теперь строить работу, чему учиться и на что делать ставку, когда часть привычных задач умеет делать

19🔥126

6 Jul 2026, 12:00 UTC≈2,410 views33 reactionsread 7 August 2026

Делимся материалами Всероссийской олимпиады школьников по информатике, профиль ИИ ⚡️ Вместе с коллегами мы приняли участие в подготовке разборов задач профиля «Искусственный интеллект» ВсОШ. Решили собрать в одном месте материалы прошлого года — задания и разборы регионального и заключительного этапов. Сохраняйте подборку и используйте её для подготовки к будущим олимпиадам⤵️ Региональный этап ✔️ Первый тур — конте

15🔥117

19 Jun 2026, 12:05 UTC≈2,970 views29 reactionsread 7 August 2026

AAAI-2026 глазами участников ⭐️ Наши коллеги Владимир Давидюк и Марат Аграновский съездили на крупную конференцию по AI, мы рады поделиться с вами их впечатлениями и рекомендациями по участию: 〰️ Как устроен отбор на одну из одну из ведущих научных конференций по AI? 〰️ Что включает этап rebuttal и как интерпретировать оценки рецензентов? 〰️ Чем полезны неформальные взаимодействия в рамках мероприятия? Подробнее о

16🔥76

10 Jun 2026, 14:45 UTC≈3,580 views43 reactionsread 7 August 2026
Photo

Итоги весеннего семестра: курсы и открытые лекции ⤵️ Этой весной мы провели два курса и несколько открытых лекций, посвящённых алгоритмам, математике, компьютерным системам и современным технологиям: 1️⃣ На курсе «Фотограмметрия: трёхмерная реконструкция» Николай Полярный и Борис Симютин познакомили участников с основными этапами построения 3D-моделей по фотографиям: от поиска ключевых точек и восстановления положе

23🔥128

Showing the 7 most recent of 7 posts we hold for @csspace. 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.

Citation-graph rank

Citation-graph rank — 2,983 of 1,336,469entries 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.

Mentions

Named by 6 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.

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

“CS Space” (@csspace), 2,813 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/csspace.

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.