💥 AI 算力需求爆發,正在改寫比特幣礦商的商業模式!礦企不再只是挖礦,而是化身算力資源的「房東」,估值邏輯也隨之重塑。 - 🤝 AI 公司 Anthropic 砸 91 億美元與比特幣礦企 Riot Platforms 簽下 20 年算力託管協議,推動礦企從挖礦轉向 AI 資料中心。 - 👉全文:https://qoo.run/mppafgn

Channel
區塊客 Blockcast.it-第一手 區塊鏈新聞
@blockcastit
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12,484subscribers
+22 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 | -1001437144113 |
|---|---|
| Type | Channel |
| Username | @blockcastit |
| Description | 區塊客成立於 2017 年 4 月,積極蒐羅並傳遞全球區塊鏈與加密貨幣的第一手資訊,剖析尖端新聞,專題評議關鍵話題! 👉社群交流討論群:https://bit.ly/3JDCbsi 👉Instagram:https://bit.ly/37WnrHg 👉Facebook:https://bit.ly/3GvKsPo 👉官網:https://blockcast.it/ 👉Youtube:https://bit.ly/3MubJmB |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/blockcastit |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:04 | 12,484 | +10 |
| 13 Aug 2026, 18:14 | 12,474 | +6 |
| 12 Aug 2026, 13:33 | 12,468 | +2 |
| 11 Aug 2026, 16:52 | 12,466 | +5 |
| 10 Aug 2026, 20:17 | 12,461 | -2 |
| 9 Aug 2026, 22:32 | 12,463 | -8 |
| 8 Aug 2026, 21:30 | 12,471 | -2 |
| 7 Aug 2026, 20:32 | 12,473 | +11 |
| 6 Aug 2026, 21:15 | 12,462 | no change |
| 6 Aug 2026, 21:07 | 12,462 | first reading |
Engagement
69 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.54%
- avg views ÷ 12,484 subscribers
- Avg views / post
- 442
- 69 posts measured
- Reaction rate
- 0.258%
- reactions ÷ views · ER floor
- Posts in window
- 69
- of 69 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 19 of 69 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 69 (4 August 2026 – 15 August 2026) |
| Views total | 30,467 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:51 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
- ≈13,500
- Videos
- ≈49
- Links
- ≈15,100
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.
Reaction mix
23 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 30.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7 | 30.4% | |
| ❤ | 6 | 26.1% | |
| 😱 | 3 | 13.0% | |
| 🤡 | 3 | 13.0% | |
| 👏 | 1 | 4.35% | |
| 🔥 | 1 | 4.35% | |
| 😁 | 1 | 4.35% | |
| 🤯 | 1 | 4.35% |
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 19 of the 69 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 4 August 2026 to 15 August 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
🤔 美股黃金漲勢如虹,比特幣卻反彈缺席,市場風險偏好回暖為何獨漏它? - 📊 ETF 資金雖回流,但難敵礦工與機構的持續賣壓。部分長期指標已觸及歷史低位,但多數抄底訊號尚未出現,週期底部仍待確認。 - 👉全文:https://qoo.run/r27bgcs
💥 預測市場玩太大?紐約市議會對 Polymarket、Coinbase 等 4 家平台展開調查,質疑其行銷手法。 - 📜 調查聚焦於誤導性廣告、誘導青少年下注等風險,業者被要求回答超過 60 項問題,後續可能推動地方立法。 - 👉全文:https://qoo.run/j395nm2
💡 比特幣價格下跌免驚!灰度(Grayscale)認為,短期修正不改長期趨勢,加密市場正逐步走向機構化。 - 📊 灰度點出三大驅動力:政府財政赤字、金融機構參與升溫與監管環境明朗化,將持續推動比特幣採納。 - 👉全文:https://qoo.run/tnfhkp7
🚨 囤幣股警報再響!指數巨頭 MSCI 擬定新標準,目標剔除「非營運公司」。 - 🎯 根據 MSCI 試算,大量持有比特幣的 Strategy 與 Metaplanet,恐因新的財務指標審查而遭指數除名。 - 👉全文:https://qoo.run/zdnb26x
⚡️ 告別龜速交割!日本三菱日聯(MUFG)導入區塊鏈,要將過去耗時 1-3 天的日本公債交易,升級為「即時結算」。 - ⛓️ 透過鏈上實測,未來有望實現 24 小時全年無休的即時交割,大幅提升金融市場的資金運用效率。 - 👉全文:https://qoo.run/ajakr4r
👍1
🛡️ 九年了!穩定幣霸主 Tether 儲備金疑雲終於落幕。 - 🧾 四大會計師事務所 KPMG 完成首次全面審計,給出最高評價「無保留意見」,證實財報真實可靠,連實體黃金都親自盤點。 - 👉全文:https://qoo.run/eqmrtkp
🚨 幣圈資安亮紅燈!知名冷錢包 Trezor 因合作物流商遭駭,導致全球近 1.4 萬名用戶的機密個資外洩。 - 📦 外洩資料包含姓名、電郵、電話與收件地址。官方強調錢包裝置安全,但用戶需慎防後續的釣魚詐騙攻擊。 - 👉全文:https://qoo.run/mjuwyhf
😁1
🚀 預測市場龍頭 Kalshi 傳獲紅杉資本、威靈頓洽談領投,估值翻倍挑戰 400 億美元。 - 💰 擬募資至少 7.5 億美元,為潛在 IPO 鋪路。其年化營收已因體育賽事押注狂飆至 40 億美元。 - 👉全文:https://qoo.run/q45chjt
💸 川普媒體押注比特幣慘賠!其 Q2 財報揭露,加密貨幣投資已成為影響公司財務的巨大變數,直接拖累整體表現。 - 📉 財報顯示單季淨虧損達 2.38 億美元,主因是持有的數位資產價格下跌,上半年累計產生約 3.6 億美元的未實現虧損。 - 👉全文:https://qoo.run/ccx4dp5
🚀 V 神更新以太坊路線圖,未來方向大洗牌!隱私保護與抗量子安全躍升為最高優先,預示著以太坊的重大轉變。 - 🗺️ 新藍圖將 STARK 與 AI 輔助驗證視為未來核心,EVM 角色也可能轉變,整體持續朝高效、可擴展與精簡化發展。 - 👉全文:https://qoo.run/2mmcneh
❤1
😱 東京上市公司 Metaplanet 轉出價值 3.2 億美元的比特幣,引發市場「倒貨」恐慌! - 🗣️ 執行長出面駁斥拋售傳言,強調這僅是「例行託管轉移」,公司並未出售任何比特幣。 - 👉全文:https://qoo.run/4tgdjrt
Showing the 12 most recent of 69 posts we hold for @blockcastit. 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 — 1,044,218 of 1,480,688entries 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
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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“區塊客 Blockcast.it-第一手 區塊鏈新聞” (@blockcastit), 12,484 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/blockcastit.
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.