Crypto & trading — 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 87% 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
5 measurements spanning 55 days, net -6. 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 270–278 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
1 Oct 2026, 20:17
271
-3
12 Sept 2026, 09:57
274
-1
21 Aug 2026, 16:14
275
-2
8 Aug 2026, 08:35
277
no change
7 Aug 2026, 18:10
277
first reading
Engagement
20 posts held, back to 22 December 2025 — 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 20 posts for this entry, the most recent from 13 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
13 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 84.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11
84.6%
😁
1
7.69%
🤯
1
7.69%
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 20 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 December 2025 to 13 February 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.
Kaito Studio 候补名单现已上线!
立即前往我们的网站,参与 Kaito 的全新时代。
我们正在打造一种全新的匹配模式:通过精细筛选、分层管理以及数据驱动的方式,让品牌能够基于申请或邀请,与创作者建立合作关系——同时结合链上数据与社交资料。
更高质量的内容创作、更多合作机会,以及更丰厚的奖励。
内容始终是推动用户采用与教育的重要核心,这不仅适用于加密行业,也适用于所有正在增长的行业。因此,我们非常期待大家一同参与,并见证我们向更多行业拓展的过程。
Kaito Studio 即将正式上线,功能将分阶段推出——初期将支持 X 平台,随后会很快扩展至其他平台和内容形式。
同时,随着我们拓展至更多社交媒体平台,你会看到我们正在逐步过渡到邮箱登录方式。
如果你还没有绑定邮箱,请先通过 X 账号登录,并按照界面提示完成邮箱绑定。
关于时间线的完整背景说明:
1 月 13 日:我们首次从客户经理处收到一封邮件,提示可能会对现有合作进行重新评估(见下方截图)。我们当即回复并要求进一步澄清。
1 月 14 日:我们收到了来自 X 的正式法律函件,并在同一天提交了我们的法律回应(见下方截图),同时再次请求通过电话沟通以获得更明确的说明。
1 月 15 日:我们和所有人一样,在同一时间看到了 Nikita 的推文。
为什么此前没有提前公告?
这并不是我们第一次收到来自 X 的法律通知。此前一次的情况,最终通过签署新的企业级合作协议得到了友好解决。因此,在如此短的时间窗口内,我们选择先等待进一步的澄清和沟通,而不是仓促对外发布任何单方面的公告,这是一个合理且审慎的判断。
Kaito Studio 规划了多久?
事实上,Kaito Studio 已经筹备了数月之久。这个项目代表着我们向多平台(TikTok、YouTube)以及加密行业之外的扩展,同时也通…
Showing the 12 most recent of 20 posts we hold for @kaito_cn. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@kaito_cn named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@polymarket named in 1 post, 9 August 2026 – 9 August 2026
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 1 October 2026 — this
entry's latest reading, not the date you are reading this.
“Kaito Announcements (CN)” (@kaito_cn), 271 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/kaito_cn.
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.