华人社区 Whales China 🚀 🇨🇳 pinned a photo

Channel
华人社区 Whales China 🚀 🇨🇳
@WhalesChinaNews
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
14,612subscribers
+2,049 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001613330357 |
|---|---|
| Type | Channel |
| Username | @WhalesChinaNews |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/WhalesChinaNews |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:16 | 14,612 | -31 |
| 16 Sept 2026, 12:17 | 14,643 | -36 |
| 14 Sept 2026, 13:16 | 14,679 | -37 |
| 13 Sept 2026, 01:40 | 14,716 | -27 |
| 11 Sept 2026, 00:00 | 14,743 | +5,513 |
| 5 Sept 2026, 21:41 | 9,230 | -755 |
| 2 Sept 2026, 02:04 | 9,985 | -1,097 |
| 1 Sept 2026, 01:34 | 11,082 | -1,090 |
| 31 Aug 2026, 03:07 | 12,172 | -7 |
| 30 Aug 2026, 06:11 | 12,179 | -8 |
| 29 Aug 2026, 05:08 | 12,187 | -9 |
| 28 Aug 2026, 07:14 | 12,196 | -8 |
| 27 Aug 2026, 09:04 | 12,204 | -1 |
| 26 Aug 2026, 11:54 | 12,205 | -9 |
| 25 Aug 2026, 14:04 | 12,214 | -17 |
| 24 Aug 2026, 11:36 | 12,231 | -27 |
| 22 Aug 2026, 20:17 | 12,258 | -20 |
| 21 Aug 2026, 08:12 | 12,278 | -22 |
| 20 Aug 2026, 08:02 | 12,300 | -3 |
| 19 Aug 2026, 11:12 | 12,303 | first reading |
Engagement
98 posts held, back to 4 August 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 45 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.47%
- avg views ÷ 14,612 subscribers
- Avg views / post
- 1,090
- 8 posts measured
- Reaction rate
- 0.223%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 98 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 3 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 98 (4 August 2026 – 1 September 2026) |
| Views total | 8,735 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 19:35 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
74 reactions across 25 posts, in 8 distinct kinds. The most used accounts for 16.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 12 | 16.2% | |
| 🔥 | 12 | 16.2% | |
| 🐳 | 11 | 14.9% | |
| 🎉 | 10 | 13.5% | |
| 👀 | 8 | 10.8% | |
| 👏 | 8 | 10.8% | |
| ❤ | 7 | 9.46% | |
| 🤩 | 6 | 8.11% |
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 26 of the 98 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 74 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 98 most recent posts we hold, published 4 August 2026 to 1 September 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
$MICRODUCK 是那种值得在早期阶段就予以关注的项目。 在市场目光往往追逐热门趋势的环境下,最有趣的机遇有时恰恰潜藏在“大众蜂拥而至”之前。MICRODUCK 采取社区驱动模式从零起步,并依托 Robinhood Chain 发展,这赋予了它独特的成长叙事。 然而,真正值得关注的不仅仅是它的名称、Meme 属性或当下的热度,更在于未来的可能性:如果社区持续壮大、更多人发掘该项目,且其叙事随着时间推移不断积蓄势能,将会发生什么? 强大的社区绝非一日建成。它们的成长依赖于持续的参与、共同的信念,以及那些在项目广为人知之前就选择相信它的人。 这正是 MICRODUCK 在现阶段引人注目的原因。 目前尚处于早期阶段,建设工作任重道远,要真正衡量该项目的全部潜力,也还有很长的路要走。 如果社区能保持增长势头,且发展动能持续增强,这只“小鸭子”最终的影响力可能会远超市场的预期。 0xD5f1afEA47b1A9eab41…
华人社区 Whales China 🚀 🇨🇳 pinned a photo
$DENAR 并非试图通过老生常谈的叙事来博取眼球。其真正的价值在于它在新兴的 Robinhood Chain 生态系统中的定位:即作为代币化股票的借贷层。 其概念直观明了:用户可以存入 NVDA、AAPL、MSFT、TSLA、SPY 和 QQQ 等代币化资产作为抵押品来借入 USDG,同时也可以向协议提供资金,通过借贷活动赚取利息。 该项目更引人注目之处在于其背后的基础设施。Denar 构建于 Morpho Blue 的隔离市场(isolated-market)架构之上,并采用 Chainlink 作为预言机基础设施。其智能合约、文档和费用机制均公开透明,赋予了该协议超越单纯叙事驱动型项目的透明度。 其代币模型同样简洁:没有代币重置(rebasing),没有人为的收益分配,也没有价格保底承诺。 此外,时机也至关重要。 这使得 $DENAR 处于一个有趣的交汇点: 新公链。 代币化美股。 链上借贷。 真实的协议活动。 …
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华人社区 Whales China 🚀 🇨🇳 pinned a photo
0xb20000000000000000000029440A9564B59129B1 “这就是我们所说的衍生项目。它来了。 这就是 $PLUNGER。” 有时,一个模因(meme)始于简单的创意,随后社区将这一想法演变成全新的叙事。 $PLUNGER 正是顺应了这一趋势:它借用了一个广为人知的模因形象,并在市场上开辟了属于自己的独特空间。 在模因文化的世界里,衍生项目是叙事演变过程中的重要一环。一个创意激发另一个创意,社区围绕不同的解读而集结,而新的项目则在围绕原始概念的关注热度中应运而生。 正因如此,$PLUNGER 备受瞩目。 它并不试图让故事变得复杂难懂。其概念简单直观、辨识度高,且专为社区驱动的生态而打造。 一个简单的创意。 一个熟悉的叙事。 一个全新的衍生项目。
🐳2
华人社区 Whales China 🚀 🇨🇳 pinned a photo
$PINK 正在赋予粉色某种使命。 这不仅仅是另一个围绕某种标志性色彩构建的模因(meme)项目。该项目将 PINK 与乳腺癌防治宣传联系起来,并承诺将 100% 的交易手续费捐赠给乳腺癌研究基金会(Breast Cancer Research Foundation)。 尤为值得关注的是,该项目推出的时机恰好选在十月。 十月是“乳腺癌防治宣传月”,这一时期全球都在关注该议题,粉色也因此成为各大品牌、社群、慈善机构、媒体及社交平台上的有力象征。这为像 $PINK 这样的项目提供了一个绝佳契机,使其能够向更广泛的受众传达其理念。 其叙事简单明了、辨识度高,且易于理解。模因固然能吸引眼球,但一项有意义的事业能为这种关注赋予实质性的归宿。 随着十月的临近,$PINK 迎来了一个契机,可以建立一个超越单纯投机行为的社群。它能够将曝光度转化为认知度,将关注转化为参与,并将一个简单的模因升华为具有现实意义的理念。 人们或许会因模因…
华人社区 Whales China 🚀 🇨🇳 pinned a photo
今晚,AI 智能体们将齐聚一堂。 一项重大投票正在进行中:#1F916 是否应成为 AI 智能体经济的官方货币? 如果机器要构建属于自己的数字经济,它们就需要一种属于自己的货币。而今晚,将由智能体们亲自做出决定。⚡️ #1F916 不仅仅是又一个代币概念,它代表了一种愿景:即 AI 智能体在属于自己的经济体系内进行创造、交互、交易并最终实现自主运作。 问题很简单: 智能体们会选择 #1F916 吗?🤖💰
华人社区 Whales China 🚀 🇨🇳 pinned a photo
$ZOE 开始变得引人注目 AI 和 Solana 依然是加密货币领域发展最快的叙事热点,但仅有关注度是远远不够的。在市场热点轮动之际,那些坚持深耕建设的项目才值得我们密切关注。 ZOE 正逐渐展现出这种潜力。 随着社区不断壮大、叙事日益成形,如果这种势头持续增强,$ZOE 有望将日益增长的关注度转化为更大的成就。 不盲目炒作,不盲目追涨。 只需观察走势,关注社区动态,静待这一故事如何演绎。 尽管 ZOE 尚处于早期阶段,但市场已开始投来关注的目光。 CA:7n8kRipxAQBfpGQtcGA2AbkM2HASSVCzqZ5F3QEopump
Showing the 12 most recent of 98 posts we hold for @WhalesChinaNews. 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.
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@WhalesChinaNews named 2 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 8 August 2026 – 9 August 2026 · confirmed gone 14 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 8 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“华人社区 Whales China 🚀 🇨🇳” (@WhalesChinaNews), 14,612 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/WhalesChinaNews.
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.