【🔥美股|打造 3.4 兆美元超級帝國!SpaceX 與特斯拉加速合併談判,最快今年 12 月正式宣布】 馬斯克(Elon Musk)旗下兩大企業 SpaceX 與特斯拉(Tesla)的合併談判持續推進,最快可能在今年 12 月宣布交易,若順利完成,將成為全球史上規模最大的企業合併案之一。不過,雙方也討論過將宣布時間延後至 2027 年初的可能性。 📌 完整文章 https://zombit.info/spacex-and-tesla-accelerate-merger-talks/

Channel
桑幣區識 Zombit - 官方頻道
@zombitinfo
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
11,044subscribers
-386 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001162812297 |
|---|---|
| Type | Channel |
| Username | @zombitinfo |
| Description | 桑幣筆記 Zombit 為專業的區塊鏈財經自媒體,利用自身的金融和區塊鏈知識,提供區塊鏈相關的時事新聞、專題專欄、新手教學和趨勢週報...等,協助大眾吸收正確的資訊。 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/zombitinfo |
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 95% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 14:08 | 11,044 | -12 |
| 10 Nov 2026, 09:35 | 11,056 | -4 |
| 9 Nov 2026, 00:48 | 11,060 | -8 |
| 7 Nov 2026, 19:48 | 11,068 | -4 |
| 6 Nov 2026, 18:27 | 11,072 | -4 |
| 5 Nov 2026, 18:06 | 11,076 | -6 |
| 3 Nov 2026, 19:29 | 11,082 | -3 |
| 2 Nov 2026, 21:45 | 11,085 | -6 |
| 1 Nov 2026, 22:46 | 11,091 | -1 |
| 31 Oct 2026, 03:10 | 11,092 | -3 |
| 30 Oct 2026, 05:41 | 11,095 | -7 |
| 29 Oct 2026, 08:09 | 11,102 | -1 |
| 28 Oct 2026, 09:50 | 11,103 | -5 |
| 27 Oct 2026, 08:14 | 11,108 | -9 |
| 26 Oct 2026, 06:25 | 11,117 | -6 |
| 25 Oct 2026, 03:28 | 11,123 | -1 |
| 23 Oct 2026, 03:31 | 11,124 | -4 |
| 22 Oct 2026, 05:40 | 11,128 | -9 |
| 20 Oct 2026, 23:16 | 11,137 | -10 |
| 18 Oct 2026, 20:28 | 11,147 | first reading |
Engagement
175 posts held, back to 3 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 66 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.49%
- avg views ÷ 11,044 subscribers
- Avg views / post
- 496
- 57 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 57
- of 175 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.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 175 (3 August 2026 – 13 November 2026) |
| Views total | 28,285 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 10:31 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
- ≈13,300
- Videos
- ≈23
- Links
- ≈13,300
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 57 posts held from the last 30 days (3.51%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
【🔥科技|超額認購達 6 倍!Anthropic IPO 估值衝 1.4 兆,預計 11 月 19 日那斯達克掛牌】 Anthropic 首次公開募股(IPO)吸引大量市場資金,根據《彭博》週四報導,此次 IPO 的股票認購需求已達預計發行股數的約 6 倍,若順利完成,可能成為史上規模最大的 IPO 之一。 📌 完整文章 https://zombit.info/anthropic-ipo-oversubscribed-by-6time/
【🔥熱門|輝達桃色風波延燒!路透社揭黃仁勳「第三段婚外情」,對象同為輝達員工】 根據路透社引述兩名知情人士報導,已卸任輝達(Nvidia)執行長的黃仁勳,除了先前曝光的兩段婚外情外,還曾與另一名公司員工發生親密關係,不過,路透社並未透露第二名員工的姓名與相關細節。 📌 完整文章 https://zombit.info/reuters-reveals-jensen-huangs-third-extramarital-affair/
根據彭博終端快訊,輝達(Nvidia)執行長黃仁勳宣布即日起辭去公司 CEO、總裁及董事職務,結束長達 33 年的領導任期。 人事安排方面,輝達財務長柯蕾特・克雷斯(Colette Kress)將出任臨時執行長,董事哈維・瓊斯(Harvey C. Jones)則獲任命為董事會主席。 輝達據稱已啟動新任執行長遴選程序,將同時考慮公司內部及外部人選。
【🔥科技|Anthropic 防蒸餾見效?海外博主點名 DeepSeek、Kimi 迭代放緩,質疑中國大模型過度依賴 Claude】 海外 AI 博主 Da7em 近日提出質疑,認為自從 Anthropic 加強防範未經授權的模型蒸餾後,中國主要 AI 實驗室的模型進展似乎明顯放緩,甚至出現集體停滯的現象。他認為,這反映部分中國模型廠商過去可能過度依賴 Claude 的能力,而非建立自己的技術優勢。 📌 完整文章 https://zombit.info/overseas-bloggers-question-chinese-models-over-reliance-on-claude/
根據預測市場 Polymarket 的交易數據顯示,市場認為黃仁勳會在明天宣布卸任輝達執行長一職的概率接近 70%。
【🔥數據|穩定幣供應量 30 天驟減 142 億美元,創 2022 年熊市以來最大跌幅,市場流動性持續收縮】 加密貨幣市場復甦停滯,穩定幣供應量也出現明顯萎縮。Glassnode 週三發布的報告指出,過去 30 天,主要穩定幣總供應量減少約 142 億美元,創 2022 年加密貨幣熊市以來最大單月跌幅,反映資金正持續撤離加密貨幣市場。 📌 完整文章 https://zombit.info/stablecoin-supply-drops-by-14-2-billion-in-30-days/
【🔥美股|傳輝達董事會討論解除黃仁勳職務!分析師警告股價恐暴跌 20%,接班危機成市場焦點】 輝達(Nvidia)領導層風波持續升溫。路透社引述知情人士報導,輝達董事會預計於週三(12日)召開會議,討論是否解除執行長黃仁勳的職務。 📌 完整文章 https://zombit.info/nvidia-board-reportedly-discussed-removing-jensen-huang-from-his-position/
【🔥觀點|IPO 路演拋震撼願景!Anthropic 執行長預告:AI 十年內攻克癌症、阿茲海默症】 人工智慧(AI)可能在未來十年內改變人類醫療發展。Anthropic執行長達里奧・阿莫代伊(Dario Amodei)近日在公司IPO路演中預測,癌症、阿茲海默症、心臟病及精神疾病等重大疾病,有望在不到10年內取得根本性突破,甚至讓人類平均壽命延長一倍。 📌 完整文章 https://zombit.info/anthropic-ceo-predicts-ai-will-conquer-cancer-and-alzheimers-within-a-decade/
【🔥美股|改採五項財務與營運指標審查!Strategy 與 Metaplanet 遭 MSCI 除名,預計 11 月 30 日盤後生效】 全球指數編製公司MSCI將剔除兩家比特幣財庫公司Strategy(MSTR)與日本Metaplanet,分別從MSCI美國指數及MSCI日本小型股指數中移除,預計於11月30日收盤後生效。 📌 完整文章 https://zombit.info/strategy-and-metaplanet-to-be-removed-from-msci-index-constituents/
【🔥數據|比特幣聖誕前崩破 7 萬機率暴增!期權市場風向一週逆轉,看跌期權占總權利金升破五成】 衍生品市場數據顯示,期權交易者目前認為,比特幣在聖誕節前跌破7萬美元的機率,已高於重新站上8萬美元的可能性,反映投資人正增加下行風險避險部位。 📌 完整文章 https://zombit.info/probability-of-bitcoin-crashing-below-70000-before-christmas-surges/
【🔥熱門|黃仁勳再爆婚外情!《紐時》揭與輝達女副總裁交往,對方是其直屬下屬】 輝達(Nvidia)執行長黃仁勳再度捲入婚外情爭議。《紐約時報》11月11日引述5名前輝達員工透露,黃仁勳除了先前遭指與疑似中國間諜的商界女性Alice Huang有婚外情,還曾與另一名輝達高階主管發展婚外關係。 📌 完整文章 https://zombit.info/jensen-huang-allegedly-involved-in-a-second-extramarital-affair/
Showing the 12 most recent of 175 posts we hold for @zombitinfo. 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.
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.
@abmedia_news · 18,636
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 5 October 2026
@blocktemponews · 37,690
Telegram ranks this channel #2 of 87 here — alongside 86 others — read 30 August 2026
@Gooaye · 105,009
Telegram ranks this channel #5 of 80 here — alongside 79 others — read 30 August 2026
@investanchors · 19,796
Telegram ranks this channel #29 of 80 here — alongside 79 others — read 29 September 2026
@reporter_Taiwan · 58,462
Telegram ranks this channel #38 of 38 here — alongside 37 others — read 30 August 2026
@Odaily_News · 19,638
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 26 September 2026
@tiaalert · 19,775
Telegram ranks this channel #50 of 91 here — alongside 90 others — read 29 September 2026
@binance_cn · 31,578
Telegram ranks this channel #54 of 84 here — alongside 83 others — read 3 September 2026
@theblockbeats · 38,249
Telegram ranks this channel #55 of 92 here — alongside 91 others — read 1 September 2026
@TechFlowDaily · 18,820
Telegram ranks this channel #60 of 91 here — alongside 90 others — read 5 October 2026
@ChannelPANews · 23,620
Telegram ranks this channel #60 of 96 here — alongside 95 others — read 17 September 2026
@thaicasinobonus · 38,612
Telegram ranks this channel #61 of 61 here — alongside 60 others — read 4 September 2026
@OKXAnnouncements_CN · 45,090
Telegram ranks this channel #63 of 88 here — alongside 87 others — read 28 August 2026
@toncoin_cn · 135,900
Telegram ranks this channel #71 of 87 here — alongside 86 others — read 17 August 2026
@bitebishuqin · 45,423
Telegram ranks this channel #86 of 90 here — alongside 89 others — read 30 August 2026
This channel appears in 15 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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“桑幣區識 Zombit - 官方頻道” (@zombitinfo), 11,044 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/zombitinfo.
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.