Channel
@dalabs_org
On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
2,443subscribers
-16 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001531955106 |
|---|---|
| Type | Channel |
| Username | @dalabs_org |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/dalabs_org |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 22:24 | 2,443 | -5 |
| 24 Aug 2026, 21:17 | 2,448 | -1 |
| 21 Aug 2026, 05:05 | 2,449 | -1 |
| 17 Aug 2026, 19:44 | 2,450 | -2 |
| 14 Aug 2026, 09:46 | 2,452 | -3 |
| 11 Aug 2026, 04:21 | 2,455 | -4 |
| 7 Aug 2026, 18:47 | 2,459 | no change |
| 7 Aug 2026, 18:38 | 2,459 | first reading |
20 posts held, back to 3 July 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 1 pageof Telegram’s post history, 20 posts per page.
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 4 August 2026 |
|---|---|
| Posts held | 20 (3 July 2026 – 4 August 2026) |
| Views total | 603 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:47 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.
Web3 活動看板大解析：Barker 工具箱怎麼用？ 面對 DeFi 安全威脅與資訊碎片化，投資人難以兼顧理財收益與資產安全。本文深入解析 Barker 理財看板。 該工具一站式聚合 CEX 與鏈上理財活動、揭示潛在風險，並提供圖文式鏈上循環策略，協助用戶在追求收益的同時建立防禦思維，安全帶走市場利潤。 閱讀文章：https://dalabs.org/report/web3-barker/
7/31 首批返稅入帳！教你 3 招快速查詢錢到了沒？ 首批返稅的適用條件，是影響民眾能否在 7 月 31 日順利收到返稅款項的核心關鍵，而能否準時取得返稅款主要取決於申報時所採用的管道以及完成確認的時間點。 納稅義務人在法定申報期限內，凡是採用財政部電子申報繳稅系統進行網路申報，無論是透過電腦線上申報還是手機報稅，都會被列為第一批優先返稅名單。 由於數位化申報資料能夠直接進入國稅局的自動化稽核流程，處理效率最高，因此選擇網路管道申報的民眾皆可於首批取得返稅款項。 看看自己入帳沒： https://dalabs.org/report/refund-guide/
穩定幣又有新 Alpha？5000 萬美金秒殺：一文看懂 Axis Origin Vault！ 上線即掀起市場熱潮，5,000 萬美元存款額度在短時間內遭資金迅速填滿。去中心化金融協議 Axis 推出的 Origin Vault，為穩定幣市場帶來全新的收益機制與資本效益。 本篇報告將深入解析 Origin Vault 的核心運作架構、收益來源邏輯以及潛在風險，帶你掌握這款備受關注的穩定幣創新產品。 閱讀文章： https://dalabs.org/report/axis-origin-vault/
台苯 1310 是什麼？連續四年虧損止血！ 佔公司營收 97% 的核心主力廠房，確定於 2026 年 10 月正式劃下句點。台灣苯乙烯（台苯，1310）面對全球產能過剩與利差倒貼壓力，自 2022 年起已連續四年陷入虧損，累計虧損金額達 24.38 億元。董事會決議採取斷尾求生策略，關閉高雄林園廠以保留現金流。 這項重大決策隨即引發股價跳空跌停，並全面衝擊百餘名員工安置與龐大資產活化佈局。 閱讀研報： https://dalabs.org/report/1310/
崩盤前夕？AI 泡沫再成討論話題，如何在大跌後佈局下一個週期？ AI 狂潮推升科技巨頭股價屢創新高，市場的熱烈情緒甚至一度湧現這次不一樣的強烈多頭言語，不過隨著市場迎來劇烈的多頭拉回與籌碼清算，似乎打了多數投資者一巴掌。 究竟 AI 熱潮會重演泡沫還是這次真的不一樣？讓我們從市場情緒開始講起。 閱讀文章： https://dalabs.org/report/ai-bubble/
Robinhood Chain 什麼來頭？RWA 卻被 Meme 帶飛！ 美股券商巨頭 Robinhood 推出基於 Arbitrum 的 Layer2 鏈，主打合規 RWA 與美股代幣化，理想很豐滿，市場卻走向狂野！官方規劃的美股資產乏人問津，反倒吉祥物迷因幣 CASHCAT 在單週狂飆逾 5500%，引爆千倍暴富神話。 當合規藍圖撞上迷因狂熱，帶你看懂 Robinhood Chain 的流量密碼與潛在風險！ 閱讀文章： https://dalabs.org/report/robinhood-chain/
Avalanche 築起 RWA 帝國能否帶動 AVAX 上漲？ 貝萊德 BUIDL 基金與日本 Progmat 巨頭相繼進駐，推動 Avalanche 鏈上代幣化資產突破 21 億美元。然而，強大的機構生態卻未帶動 AVAX 幣價衝高。子網自主架構與合規資金的沉澱，暴露出價值捕獲的結構性瓶頸。 傳統金融巨擘入局公鏈，究竟是真繁榮還是假利多？本文深度解析 RWA 帝國背後的關鍵矛盾！ 閱讀文章： https://dalabs.org/report/avalanche-rwa/
DeFi ETF 時代來臨：Gauntlet 憑金庫獲上億融資！ 加密貨幣的世界中，高金額的融資屢見不鮮，但在現在如此冷清的市場中，還能獲得單一公司的 1.25 億美元融資，或許是 Gauntlet 正在籌備掀翻市場的大招。 Gauntlet 宣布獲得日本金融巨頭 SBI Holdings 的消息一經傳出，使該協議的估值再度飆升，這個號稱 DeFi 貝萊德的 Gauntlet 究竟什麼來頭？一篇文章帶你了解。 閱讀文章： https://dalabs.org/report/gauntlet/
電腦記憶體瘋狂漲價！AI 伺服器與組裝電腦的終局之戰？ 全球記憶體市場正迎來史上罕見的超級循環，世界半導體貿易統計組織（WSTS）甚至為此大幅上修產業預測，電腦記憶體產值在半導體市場的佔比首度過半，成為推升大盤指數的絕對主力。 然而，這場由高階科技引爆的財經派對，背後卻是消費級市場遭到產能無情排擠的殘酷現實，讓普通消費者面臨組裝桌機預算嚴重失衡的打擊。 AI 終局之戰： https://dalabs.org/report/ram-ai/
OpenAI 擁有 WLD，Robinhood 擁抱預測市場？ 當網路巨頭不再滿足於單純的流量代銷與軟體服務，科技與金融的邊界正在被重新定義。OpenAI 透過 WLD 鋪設人工智慧時代的身份驗證與經濟分配網路，將技術影響力延伸至全球數位治理；手握龐大散戶流量的 Robinhood 則親自下場開拓預測市場，從管道服務商蛻變為市場規則的制定者。 本文深入解析兩家巨頭翻轉商業模式、奪取產業定價權的核心佈局。 閱讀研報： https://dalabs.org/report/robinhood-predict/
25 天 45 倍：白毛股神 Serenity 究竟是誰？ 中國 A 股市場突然在 2026 年中出現極其魔幻的現象：跨境資訊倒灌，精闢貼文既不是華爾街出版，也不是官方發布的宏觀經濟數據，而是一個在 X 平台上使用白髮二次元美少女頭像、自稱 Serenity 的海外神祕帳號。 他僅憑幾篇短小精悍的產業鏈分析，就在數小時內跨海引爆了中國 A 股多隻冷門標的的漲停潮。 這個神秘股神是誰： https://dalabs.org/report/serenity/
台積電法說會全解讀：為何亮眼財報下市場仍有雜音？ 台積電於 7 月 16 日召開的法說會無疑繳出令全球半導體產業驚訝的成績單，無論是雙率破表的超預期表現，還是大幅上調全年美元營收成長至四成以上，都一掃 AI 需求可能見頂的陰霾。 然而，這場原本預期將引領多頭高歌猛進的法說會卻沒有讓市場買單，甚至台積電 ADR 還遭受劇烈震盪，深刻反映出當前宏觀經濟資金面與企業基本面之間巨大的認知落差。 法說會說什麼： https://dalabs.org/report/tsmc-earnings-call-2026/
Showing the 12 most recent of 20 posts we hold for @dalabs_org. 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 — 378,893 of 1,622,129entries 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.
Named by 3 registered channels — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“DA Labs | DA Capital” (@dalabs_org), 2,443 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/dalabs_org.
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.