Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
48 measurements spanning 77 days, net -3,136. 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 28,065–32,141 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)
Subscribers
Change
23 Oct 2026, 18:27
28,535
-16
22 Oct 2026, 20:31
28,551
-33
21 Oct 2026, 14:20
28,584
-26
20 Oct 2026, 11:28
28,610
-23
19 Oct 2026, 12:09
28,633
-31
18 Oct 2026, 14:17
28,664
-33
17 Oct 2026, 13:29
28,697
-14
16 Oct 2026, 11:38
28,711
-49
15 Oct 2026, 10:30
28,760
-15
14 Oct 2026, 13:49
28,775
-59
13 Oct 2026, 04:29
28,834
-97
8 Oct 2026, 23:40
28,931
-122
4 Oct 2026, 14:00
29,053
-341
26 Sept 2026, 10:21
29,394
-341
19 Sept 2026, 13:36
29,735
-109
16 Sept 2026, 23:41
29,844
-54
15 Sept 2026, 00:41
29,898
-53
13 Sept 2026, 08:17
29,951
-73
11 Sept 2026, 11:40
30,024
-145
8 Sept 2026, 19:16
30,169
first reading
Engagement
195 posts held, back to 30 July 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 126 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.15%
avg views ÷ 28,535 subscribers
Avg views / post
1,180
67 posts measured
Reaction rate
0.362%
reactions ÷ views · ER floor
Posts in window
67
of 195 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. It is computed over the 36 of 67 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 23 October 2026
Posts held
195 (30 July 2026 – 23 October 2026)
Views total
79,367
Reactions total
158
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Oct 2026, 19:03 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
Photos
442
Videos
2
Links
489
Lifetime counters from Telegram’s own channel header, read 23 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 19s
Average length
40s
Measured directly from 2 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
240 reactions across 68 posts, in 14 distinct kinds. The most used accounts for 22.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
53
22.1%
🔥
53
22.1%
❤
45
18.8%
❤🔥
29
12.1%
🥰
15
6.25%
⚡
11
4.58%
🤯
9
3.75%
👏
8
3.33%
😱
6
2.50%
😁
4
1.67%
🤡
4
1.67%
🤔
1
0.417%
🤝
1
0.417%
🤣
1
0.417%
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 83 of the 195 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 240 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 195 most recent posts we hold, published 30 July 2026 to 23 October 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
197
across the posts below
Posts paid on
35
of 195 we hold a reading for · 18%
Most on one post
157
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cryptospace_pro. 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 195 most recent posts we hold for this entry, published 30 July 2026 to 23 October 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.
📉 KIMCHI упал на 98% после удаления рекламного поста
▪️ Вечером 22 октября капитализация мем-коина Project Kimchi в сети Solana достигла $15 млн. Затем она обвалилась до $284 000, потеряв 98% стоимости.
▪️ Обвал случился после удаления рекламной публикации из аккаунта трейдера Kimchi и её репоста сооснователем Pump.fun под псевдонимом Alon.
▪️ Такая волатильность типична для мем-коинов, где цена держится на одном …
🏦 HSBC запускает стейблкоин RedCoin к гонконгскому доллару
▪️ Банк HSBC начал поэтапный запуск стейблкоина RedCoin, привязанного к гонконгскому доллару в соотношении 1:1. Токен будет доступен 3,3 млн пользователей приложения PayMe.
▪️ До конца года банк планирует интегрировать токен в HSBC HK, включая операции с токенизированными фондами. Эмиссия ведётся по лицензии регулятора Гонконга.
▪️ Запуск стейблкоина от кр…
💰 Nebius привлекла $3,5 млрд у Citi на ИИ-инфраструктуру
▪️ Нидерландская Nebius Group заключила с банком Citi соглашение о кредитной линии на $3,5 млрд. Средства пойдут на строительство дата-центров и закупку GPU.
▪️ Срок финансирования 364 дня, ставка: SOFR плюс 2,75 п.п. с возможным повышением до 3,5 п.п. Компания также рассматривает займы под контракты на свыше $40 млрд.
▪️ В июле Nebius уже получила $775 млн …
🕵️ ИИ-агенты удешевили деанонимизацию биткоин-кошельков
▪️ Команда Mixer.Money разобрала, как по ончейн-следам находят владельца кошелька и связывают раскрытый адрес с текущими сбережениями. ИИ-агенты существенно снизили стоимость и порог входа для такого анализа.
▪️ Раньше для деанонимизации нужны были эксперты и дорогие инструменты, теперь автоматизация делает это дешевле и быстрее. Даже небольшие остатки на коше…
🏦 OCC утвердило правила для эмитентов стейблкоинов
▪️ Управление контролера денежного обращения США (OCC) утвердило финальные правила для эмитентов платёжных стейблкоинов в рамках закона GENIUS Act.
▪️ Документ устанавливает требования к резервам, погашению токенов, управлению рисками, аудиту и хранению активов.
▪️ Жёсткие стандарты к резервам усилят доверие к стейблкоинам на рынке США.
#BTC #ETH #Crypto
SOSUN
📈 JPMorgan предсказал BTC доходность 10% годовых
▪️ Аналитики J.P. Morgan Asset Management прогнозируют биткоину среднегодовую доходность 10% на горизонте 10-15 лет. Это выше ожиданий по американским акциям, облигациям и золоту.
▪️ Прогноз содержится в ежегодном отчёте Long-Term Capital Market Assumptions на 2027 год. Крупнейший банк США впервые ставит BTC выше традиционных активов.
▪️ Институциональный оптимизм п…
🇨🇭 FINMA одобрил первый спотовый биткоин-ETF в Швейцарии
▪️ Швейцарский регулятор FINMA 20 октября разрешил первый в стране спотовый биткоин-ETF для розничных инвесторов. Для этого ведомство сделало исключение из правил диверсификации.
▪️ В FINMA отметили, что у биткоина длиннее история торгов и выше объёмы, чем у других монет. Эмитента не раскрыли, но другие управляющие компании уже подали или анонсировали заявки.…
🚨 DHS запретил DeepSeek в федеральных ведомствах США
▪️ Министерство внутренней безопасности США обязало гражданские федеральные ведомства удалить продукты китайского ИИ-стартапа DeepSeek из своих информационных систем.
▪️ Запрет затрагивает все государственные структуры, использующие программное обеспечение DeepSeek.
▪️ Решение подчёркивает нарастающее технологическое противостояние между США и Китаем в сфере ИИ.…
🔬 Эдинбург: фотонный квантовый ПК смоделировали на обычном процессоре
▪️ Учёные Эдинбургского университета разработали алгоритм, который имитирует работу фотонного квантового компьютера на классических процессорах.
▪️ В отдельных тестах симуляция показала результаты даже лучше, чем у реальных квантовых устройств.
▪️ Это важно для криптоиндустрии: квантовые алгоритмы угрожают стойкости криптографии, и мощные класси…
⚛️ Quantinuum поставил рекорд точности на квантовом компьютере Helios
▪️ Компания Quantinuum заявила о мировом рекорде логической точности квантовых вычислений: 99,9995% на коммерческой машине Helios. Это эквивалент пяти ошибкам на миллион операций.
▪️ Результат в 10 раз превосходит предыдущее достижение самой Quantinuum, установленное месяцем ранее.
▪️ Рекордная точность приближает квантовые компьютеры к практиче…
❤1👍1🔥1
Signed SOSUN
Showing the 12 most recent of 195 posts we hold for @cryptospace_pro. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
CLT_News @starstonchain · 87,661 Telegram ranks this channel #29 of 56 here — alongside 55 others — read 21 August 2026
Дело в TON @delo_vton · 45,121 Telegram ranks this channel #45 of 64 here — alongside 63 others — read 27 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
“CryptoSpace” (@cryptospace_pro), 28,535 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/cryptospace_pro.
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.