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Channel

IEObserve 國際經濟觀察

@ieobserve

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

14,902subscribers

-7 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-1001394251478
TypeChannel
Username@ieobserve
DescriptionInternational Economy Observe,分享國際財經、科技、商業、國際時事觀察
CreatedBetween 1 July 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ieobserve

Growth

14,90214,91014,9066 August 2026 — 14,909 subscribers6 August 2026 — 14,909 subscribers6 August 2026 — 14,908 subscribers7 August 2026 — 14,909 subscribers8 August 2026 — 14,910 subscribers9 August 2026 — 14,908 subscribers10 August 2026 — 14,903 subscribers11 August 2026 — 14,904 subscribers12 August 2026 — 14,906 subscribers14 August 2026 — 14,902 subscribers6 August 202614 August 2026
10 measurements spanning 7 days, net -7. 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 14,901–14,911 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 01:1914,902-4
12 Aug 2026, 20:1414,906+2
11 Aug 2026, 18:4314,904+1
10 Aug 2026, 19:1814,903-5
9 Aug 2026, 21:5514,908-2
8 Aug 2026, 21:2814,910+1
7 Aug 2026, 23:5414,909+1
6 Aug 2026, 23:2414,908-1
6 Aug 2026, 14:4514,909no change
6 Aug 2026, 14:3714,909first reading

Engagement

21 posts held, back to 23 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
27.5%
avg views ÷ 14,902 subscribers
Avg views / post
4,090
8 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
8
of 21 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 13 August 2026
Posts held21 (23 April 202613 August 2026)
Views total32,750
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 06:58 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
1,330
Videos
3
Links
1,750

Lifetime counters from Telegram’s own channel header, read 15 August 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

13 Aug 2026, 03:00 UTC≈2,090 viewsread 15 August 2026

AI 光通訊現在最大的問題,是產能跟不上需求。 兩大光通巨頭最新財報都在加速。Lumentum 最新一季營收 10.1 億美元、年增 109%,下一季指引中間值直接拉到 12.5 億美元、年增超過 130%,毛利率也升到 50.4%。 Coherent 最新一季營收 20.5 億美元、年增 34%,其中資料中心業務更年增 66%;公司預期 FY2027 結束前,單季營收將突破 30 億美元。 更重要的是,這波成長還在往上游傳。800G 繼續增加,1.6T 已經快速放量,EML、CW Laser、Pump Laser、高功率雷射到 InP 基板都開始吃緊。Coherent 表示主要瓶頸就是 InP;Lumentum 的高功率雷射需求增加速度快過擴產。 其他光通公司的財報也印證同一件事。AOI 表示 800G、1.6T 需求至少到 2027 年中都高於產能;AXT 的 InP 營收創歷史新高,backlog 已超過 1 億美

4 Aug 2026, 23:18 UTC≈4,800 viewsread 15 August 2026
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SpaceX IPO後第一次季報,營收年增92%至78億,營業虧損大幅收窄,主要受惠於Starlink 作為現金奶牛輸血以及AI算力對外租賃變現。 老馬說太空算力要和Nvidia合作,Musk 在電話會議中表示,SpaceX正在開發名為 Starmind的AI衛星,其核心將是一套經過最佳化的NVIDIA Vera Rubin NVL72 AI運算系統。這不是只存在於概念階段的遠期計畫,SpaceX預計在2027年開始發射。 SpaceX並不打算直接照搬傳統資料中心機櫃,而是會「徹底簡化」一般NVL72機架設計。他認為這套重新設計的系統將具備兩項優勢: 第一,成本會更低。 第二,運算效率或整體系統效能會更高。 SpaceX甚至打算將相同設計同時部署在地面與軌道。Elon的原話是,既然已經為太空環境重新設計出一套更簡化的NVL72系統,就沒有理由不把它也放在地面資料中心使用。 更詳細的SpaceX財報與電話會議問答和展望

3 Aug 2026, 23:22 UTC≈3,430 viewsread 15 August 2026
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Palantir Q2 營收年增加速至93%到19.35億優於預期的18億,營業利潤率也拉高到62%,EPS $0.41 優於預期的 $0.35。 Rule of 40 達到驚人的155%。 美國商業營收年增149%,AIP進入大型合約階段。美國政府業務年增90%,Maven平台持續擴張。 $PLTR 將全年營收預期從先前的 76.5-76.6 億上調至 81.5-81.6 億美元。 CEO Alex Karp 說強勁成長至少會持續18個月。Palantir Q2整體合約總價值為33.7億美元,年增49%。總剩餘合約價值達131億美元,年增83%、季增11%。剩餘履約義務為49億美元,年增103% 這份財報反映AIP已經開始從企業AI實驗工具,轉變成企業營運系統。企業不再只購買模型或Token,而是開始為資料整合、工作流程、自動化決策、模型治理與資訊安全付費。Palantir正好站在這個AI價值鏈重新分配的中心。 更詳細

31 Jul 2026, 11:14 UTC≈3,660 viewsread 15 August 2026
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Amazon也上修了2026資本支出從2000億上修到2200億,主要也是記憶體漲價因素。Q2的自由現金流也轉負。AWS的營收成長加速至年增37%,營業利潤年增64%。 #AWS 的AI業務年化營收已超過250億美元,維持三位數成長;自研晶片業務的年化營收也超過250億美元,同樣維持三位數成長。CEO Andy Jassy特別強調,AI並沒有排擠AWS原本的雲端業務,反而正在拉動傳統運算、儲存與資料庫需求。 #資本支出 即使投入2,200億美元,Amazon仍預期2026年無法滿足所有客戶需求,2027年也可能維持供不應求。2027年新增的大部分容量已被預訂,甚至2028年也已有相當規模的客戶承諾。CEO說亞馬遜的支出狂潮短期內不太可能放緩。 Amazon仍維持原先目標:到2027年底,AWS可用電力容量將達到2025年底的兩倍。 #Amazon預估Q3 營收介於1,970億至2,020億美元,年增9%至12%;營業利益

23 Jul 2026, 10:14 UTC≈4,540 viewsread 15 August 2026
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Tesla同樣也是自由現金流轉負,馬斯克比較猛的是他很多投大錢的未來project離大規模變現其實頗遠,很多大餅也還沒證明市場的可行性 但老馬沒錢的時候都敢豪賭了,現在都當首富了當然是要玩更大。從人形機器人到Terafab野心都是極大,馬斯克時程雖遲但到的承諾其實很多人也都相信 至少美光願意給面子用比較低的價格給他保證供貨 詳細財報電話會議說什麼可以看這篇 https://www.patreon.com/ieo/posts/164594526

23 Jul 2026, 01:05 UTC≈5,380 viewsread 15 August 2026

Google 的資本支出真的換錢出來了,再說AI是泡沫的人真的是瞎了眼。這次EPS暴增具有迷惑性因為認列了SpaceX的投資收益。Google的EPS也會受到SpaceX的暴漲暴跌影響。 GCP年增又加速到82%,營業利潤則年增211%。Cloud 未履行合約金額增加超過 500 億美元,達到 5,140 億美元。公司預計,超過一半將在未來 24 個月內認列為營收。這個 backlog 並非全數來自 TPU 硬體合約。公司表示,大部分仍是由廣泛客戶組成的典型 GCP 長期合約。不過,TPU 系統銷售也已納入 backlog,並將在設備交付時認列收入。 與此同時又再大打市場的臉,體量非常龐大的搜尋業務非但沒有因為AI掛掉,還繼續有17%的年增,因為有了更多以前不會搜的長尾搜尋,同時AI也幫助可變現搜尋的市場,同時改善 AI 搜尋的使用量、廣告價值與推論成本。 當然,因為資本支出龐大,現金流的壓力也不容小覷。Google預估2

17 Jul 2026, 09:56 UTC≈4,700 viewsread 15 August 2026

Netflix Q2營收125.6億美元,年增13.4%,營業利益率33.4%,但營收成長從2025年16%至17%r降至13%上下,UCAN(美國與加拿大)成長更降至10%,Q3指引隱含進一步減速至11.7%,Q3營收128.6億與EPS 0.82美元的指引雙雙略低於分析師預估,股價盤後一度重挫9%。 GenAI已在約300部作品的製作流程中落地,管理層首次給出具體的成本效益數據。Sarandos給出的關鍵案例是紀錄片《The American Experiment》,其中17分鐘的AI強化畫面以傳統方法一半的成本、兩倍的速度完成。許多這類鏡頭在沒有GenAI的情況下,劇組根本負擔不起,只能捨棄。 Netflix的AI布局包括收購的Interpositive、旗下的Eyeline工作室與動畫實驗室,三者協同推進從概念、預視覺化到後製交付的全流程。對於成本節省是否會壓縮200億美元的現金內容預算,Sarandos的答案是否定

16 Jul 2026, 09:21 UTC≈4,150 viewsread 15 August 2026
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台積電Q2營收年增34%至402億,毛利率66.7%,淨利年增77.4%。Q3營收指引年增37%,全年美元營收成長率從「超過30%」上修至「略高於40%」,資本支出年內第三度上調至600億至640億美元,並宣布亞利桑那追加1000億美元投資 #營運結構 HPC占比衝上66%,智慧型手機降至22%,AI已是絕對主引擎。2奈米甫量產即貢獻3%,3奈米占30%,先進製程合計占77%。2026年股利提高至每股24元,年增33% 。 #毛利率的代價 Q3毛利率指引65%至67%,2奈米陡峭爬坡將在下半年稀釋3至4個百分點,海外廠再稀釋2%至3%。這是以短期毛利率換取長期節點主導權的階段。 魏哲家對定價哲學的表態:「我們是合作夥伴,我的客戶必須成功,我不會突然把價格調高4倍、5倍。」並笑稱羨慕記憶體同業86%的毛利率,「68%的話我就很滿意了」。 #AI是一個新產業 魏哲家:「從今天起一路到2029年、2030年,需求都非常強勁。我相

10 Jul 2026, 00:42 UTC≈4,970 viewsread 15 August 2026
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昨天基本上是看阿祖的Meta表演,全部都是他的消息,先是再投資加拿大92億約1GW的算力,是Meta最大規模的海外數據中心。接著說目標2027年算力翻倍擴大至14GW,並加速自研ASIC晶片推出。 最後阿祖自己在彭博專訪中提到,Meta 需要盡可能多的運算能力,但在一個缺乏運作和開發人工智慧產品所需資源的市場中,他也在考慮,算力資源所獲得的報價非常高,在某些情況下,出租或考慮這類交易可能比自己內部使用更有意義。 「我認識的業內人士沒有誰覺得算力過剩」 基本上就是在說,Meta算力也沒有過剩,他想要建制越多越好,只是當算力資源實在很賺錢的時候,他不排除先拿出去賣。 「我認為SpaceX的模式很有意思,它只做短期交易,但價格很高。所以我們會收到各種各樣的報價,我們會評估它們,看看哪些是合適的。」 果然,抄襲王阿祖絕不會讓人失望

28 Jun 2026, 13:00 UTC≈5,800 viewsread 15 August 2026

最近被Semianalysis點名點到的都暴跌一波,不過市場也剛好正處於漲多回檔的階段。但AI建設這波幾個明確的瓶頸基本上就是先進製程與封裝產能,記憶體儲存與Data Center的基載電力設備。 美國電網能承接新增大型負載的「餘裕(headroom)」最快將在2027年轉為負值,到2028年以後,超過半數新建資料中心將改用表後電力(Behind-The-Meter,BTM)供電,2029年單是資料中心BTM設備的市場規模就將跨越每年50GW。 這是電網供給結構跟不上算力成長速度所逼出的長期路線改變。 https://www.patreon.com/ieo/posts/dian-wang-gen-bu-162220436

24 Jun 2026, 22:54 UTC≈6,510 viewsread 15 August 2026
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記憶體行業海賺,美光 Micron 最新一季財報碾壓市場預期,營收年增346%至414億遠超預期的355億,毛利率 84.9% 也超越市場預期的81.7%,營業利益率突破81%。基本上大都是價格飆漲驅動,DRAM ASP季增成長超過60%,NAND ASP季增超過80%。 四大事業部全線創新高,核心數據中心部門年增653%。行動與客戶端事業部(MCBU)年增254%,汽車年增311%。 $MU 下一季的財測預估營收年增同樣超過340%至500億,毛利率預估衝到86%。美光將DRAM與NAND供需緊缺的預期延長至2027年之後。 美光正透過16份策略性客戶協議(Strategic Customer Agreements,SCA),試圖將記憶體產業長期以來「暴漲暴跌」的週期性商業模式,轉變為一個具備營收可預測性與價格底線保障的長約架構。 在機器人領域,美光指出人形機器人的記憶體含量是L2+車輛的10倍,預期一個持續數十年的記

12 Jun 2026, 07:39 UTC≈6,130 viewsread 15 August 2026

SpaceX即將要IPO了,這可能會是行業中前無古人後難有來者的最大事件。 這集 BG2 Podcast 邀請 Gavin Baker一起拆解這場 IPO 背後的關鍵變數:SpaceX 憑什麼在四年內把營收做到 8 倍、為何 Elon 突然成了全球第四大 AI 雲端業者、太空算力的成本能不能打敗地面,以及最被市場忽略的 Cursor 收購會如何改寫 XAI 的模型實力。 https://www.patreon.com/ieo/posts/spacex-ipo-dao-160871678?pr=true #太空算力的經濟學:每 GW 太空 300 億 vs 地面 600 億美元 Fox 從第一原理拆解軌道算力的財務邏輯。前提是兩段式重複使用,以及更進一步的快速兩段式重複使用:每公斤發射成本會從 Falcon 的約 1,500 美元,降到 250 美元甚至更低,因為火箭用得越多次,造價分攤後越接近燃料本身的成本。 接著看衛星

Showing the 12 most recent of 21 posts we hold for @ieobserve. 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 — 222,578 of 1,350,102entries 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.

Forward network

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.

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

“IEObserve 國際經濟觀察” (@ieobserve), 14,902 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ieobserve.

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.