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Channel

Readhub

@readhub_cn

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,362subscribers

+11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001097926420
TypeChannel
Username@readhub_cn
Description每天三分钟的科技新闻聚合阅读,内容主要包括商业动态、科技资讯,每天早 9 点推送当日早报。 → Buy Ads: https://telega.io/c/readhub_cn → More: @solidot @wanqu_channel @idaily_magazine @dailyart_magazine
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/readhub_cn

Growth

8,3508,3778,363.56 August 2026 — 8,351 subscribers6 August 2026 — 8,351 subscribers6 August 2026 — 8,350 subscribers9 August 2026 — 8,355 subscribers12 August 2026 — 8,364 subscribers15 August 2026 — 8,377 subscribers19 August 2026 — 8,371 subscribers22 August 2026 — 8,370 subscribers25 August 2026 — 8,362 subscribers8,3626 August 202625 August 2026
9 measurements spanning 19 days, net +11. 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 8,346–8,381 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 09:198,362-8
22 Aug 2026, 17:138,370-1
19 Aug 2026, 01:248,371-6
15 Aug 2026, 18:168,377+13
12 Aug 2026, 10:338,364+9
9 Aug 2026, 05:228,355+5
6 Aug 2026, 09:228,350-1
6 Aug 2026, 03:028,351no change
6 Aug 2026, 00:398,351first reading

Engagement

347 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.414%
avg views ÷ 8,362 subscribers
Avg views / post
34.6
347 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
347
of 347 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 2 of 347 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held347 (5 August 202625 August 2026)
Views total12,006
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 16:22 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
1,430
Links
249,000

Lifetime counters from Telegram’s own channel header, read 25 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 347 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 347 most recent posts we hold, published 5 August 2026 to 25 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

25 Aug 2026, 16:15 UTC7 viewsread 25 August 2026

我国研究团队成功制备大面积铜锌锡硫硒薄膜光伏组件 中科院物理所孟庆波研究员团队成功制备出大面积铜锌锡硫硒薄膜光伏组件,组件光电转换效率达 13.0%,刷新世界纪录。团队还开发出适合大面积连续生产的溶液涂布工艺,小面积电池认证效率可达 14.2%,该成果为低成本、环境友好型太阳能电池产业化及规模化制造奠定基础,相关成果发表于《自然・材料》。 媒体报道 我国成功制备出大面积铜锌锡硫硒薄膜光伏组件 组件光电转换效率达到 13.0% 财联社/格隆汇 我国研究团队成功制备大面积铜锌锡硫硒薄膜光伏组件 财联社 事件追踪 2026-03-25 我国科研团队实现新型薄膜光伏研究新突破 #热门话题

25 Aug 2026, 16:15 UTC8 viewsread 25 August 2026

大摩:人工智能相关表外承诺规模突破 3 万亿美元 摩根士丹利数据显示,谷歌、亚马逊、Meta、微软、甲骨文五大云厂商,叠加英伟达与博通,合计承诺超 3.1 万亿美元以多种金融支持形式扶持第三方 AI 基建,其中谷歌以 8900 亿美元采购承诺额领先。云厂商未折现承诺总额超 2.7 万亿美元,约等同当前三年经营性现金流,2027 年预计现金资本支出超 1.2 万亿美元、预期现金流约 1 万亿美元,超四成营收被投入 AI 资本开支。 媒体报道 大摩:AI 相关表外承诺突破 3 万亿美元 华尔街见闻 摩根士丹利:五大云巨头与英伟达等 AI 相关表外承诺超过 3.1 万亿美元 财联社 大摩:人工智能相关表外承诺规模突破 3 万亿美元 格隆汇 事件追踪 2026-06-04 摩根士丹利将向外部 AI 智能体开放其万亿美元规模资管业务接口 #热门话题

25 Aug 2026, 15:55 UTC32 viewsread 25 August 2026

在韩失联中国女生被发现身亡,中领馆要求立即开展全面调查 8 月 20 日在韩国大邱失联的 25 岁中国女留学生文文(A)被发现身亡,韩国庆北警察厅于 8 月 25 日抓获涉嫌杀害她的 30 多岁男性 B,警方计划对遗体进行尸检以确认死因,调查细节暂未公开。文文本月 14 日入境韩国领毕业证,计划 23 日回国,20 日晚拉行李箱离开住处后失联,遗体在 B 位于庆山市河阳邑的住所内被发现。中国驻釜山总领事馆已要求韩方全面调查、严惩凶手,并将为家属提供领事协助。 媒体报道 韩国济州岛 3 天内有 4 人遗体被发现 1 名女性已失踪 104 天 网易科技 在韩失联中国女生被发现身亡,中领馆要求立即开展全面调查 界面 在韩失踪 25 岁中国女留学生确认遇害 嫌犯系 30 多岁男性 网易科技 #热门话题

25 Aug 2026, 15:55 UTC33 viewsread 25 August 2026

2026 年度电影总票房突破 275 亿元 截至目前,2026 年度电影总票房(含预售)突破 275 亿元,其中暑期档票房(含预售)突破 117 亿元,暑期档连续 46 天单日票房过亿,观影人次、放映场次均刷新历史纪录。 媒体报道 2026 年度电影总票房突破 275 亿元 同花顺财经/财联社 2026 年度电影总票房突破 275 亿 格隆汇 事件追踪 2026-08-23 2026 年暑期档电影票房超 115 亿 2026-08-11 2026 年度电影总票房突破 245 亿 国产电影强势领跑 2026-08-03 2026 年度电影总票房超 231 亿元 2026-07-29 2026 年度电影总票房突破 220 亿 2026-06-19 2026 端午档首日电影票房破亿 上映数量创近十年同期新高 2026-06-07 2026 年度电影总票房已突破 160 亿元 2026-05-27 2026 全国电影总票房破 15

25 Aug 2026, 15:55 UTC23 viewsread 25 August 2026

海博思创等在海南成立新公司,注册资本 5 亿 近日,海博思创智算投资(海南)有限公司成立,法定代表人为石晓霄,注册资本 5 亿人民币,经营范围涵盖以自有资金从事投资活动、融资咨询服务、软件开发等多项业务,由海南启芯智云科技合伙企业(有限合伙)、北京海博思创科技股份有限公司、新博创(北京)国际控股有限公司共同持股。 媒体报道 海博思创等在海南成立新公司 注册资本 5 亿 ITBear科技资讯 海博思创携手两家企业海南设新公司 5 亿注册资本布局多元业务领域 ITBear科技资讯 海博思创等在海南成立新公司,注册资本 5 亿 36Kr 事件追踪 2025-10-28 无锡市新吴区云星智算投资合伙企业成立 出资额约66.7亿 2025-09-10 海博思创智储投资(海南)有限公司成立,注册资本5亿 2025-08-05 第四范式:公司与海博思创成立合资公司 2025-02-05 海南省算力科技公司登记成立 注册资本5亿 2024

25 Aug 2026, 15:45 UTC23 viewsread 25 August 2026

英伟达宣布推出 Jetson Orin Nano 2 机器人计算机 英伟达推出 Jetson Orin Nano 2 机器人计算机,其拥有每秒 78 万亿次 AI 运算、8GB 内存和 8 核 Arm CPU,AI 和视频处理性能显著提升,经济高效且节能,推理性能为 Jetson Orin Nano Super 的两倍,15 瓦模式下功耗降低 40% 且性能与前代相当,该模块及开发者套件预计 2027 年上半年上市。 媒体报道 英伟达宣布推出 Jetson Orin Nano 2 机器人计算机,重新定义入门级边缘人工智能。 同花顺财经 英伟达宣布推出 Jetson Orin Nano 2 机器人计算机 财联社 英伟达宣布,NVIDIA Jetson Orin Nano 2 是一款面向入门级边缘 AI 的全新机器人计算机,使全球数百万开发者能够构建机器人、物流配送与巡检无人机,以及用于前沿物... 华尔街见闻 事件追踪 20

25 Aug 2026, 15:15 UTC27 viewsread 25 August 2026

北京口岸今年出入境人员总量突破 1500 万人次 截至 8 月 25 日,北京边检总站今年查验的出入境人员总量突破 1500 万人次,同比增长 9%,较去年提前 20 天达到这一数量级,当前北京口岸因暑期出入境旅游、商务、探亲等需求,客流呈稳步攀升、高位运行态势。 媒体报道 北京口岸今年出入境人员总量突破 1500 万人次 央视新闻/华尔街见闻/财联社 事件追踪 2026-05-12 破 800 万人次 北京口岸今年出入境人员总量再攀新高 2026-03-28 北京口岸:今年出入境人员超500万人次 2026-03-25 北京口岸今年出入境人员总量突破500万人次 2025-10-31 北京口岸今年出入境人员已突破1800万人次 2025-10-07 北京口岸迎假日出入境高峰 单日将突破7万人次 2025-05-27 北京口岸本年度出入境人员突破800万人次 外国人占比28.6% 2025-01-02 2024年北京口岸出

25 Aug 2026, 15:15 UTC24 viewsread 25 August 2026

荣耀 MagicOS 11 平板内测版本全面推送,覆盖 MagicPad 3 Pro 等机型 荣耀今日宣布 MagicOS 11 平板内测版本已全面推送,涉及 MagicPad 3 Pro 和 MagicPad 3 Pro 12.3 机型。除液态玻璃、流畅动效等公共特性更新外,平板大屏场景下 PC 级桌面、学习空间等也有大量更新。该系统首发荣耀琉光架构,支持全新荣耀蜂鸟架构,内测招募覆盖 17 款手机 / 平板。 媒体报道 安卓首个液态玻璃!荣耀 MagicOS 11 平板内测全面推送 快科技 荣耀 MagicOS 11 平板内测版本全面推送,覆盖 MagicPad 3 Pro 等机型 IT 之家 荣耀 MagicOS 11 平板内测版全推送,PC 级桌面等更新提升生产力学习体验 ITBear科技资讯 事件追踪 2026-07-16 荣耀 MagicOS 10 系统 7 月版本第二批机型今晚开推,覆盖 Magic7 系列等

25 Aug 2026, 14:55 UTC27 viewsread 25 August 2026

腾讯云与卡尔动力达成战略合作 腾讯云与卡尔动力达成战略合作,双方将深化 AI 基础设施协同,围绕自动驾驶货运模型的训练、推理、数据处理与持续迭代开展合作,腾讯云将从云上算力、数据存储与 AI 平台三方面,助力提升卡尔动力自研自动驾驶货运模型相关效率,为其 L4 级自动驾驶干线货运规模化运营提供支撑。 媒体报道 腾讯云与卡尔动力达成战略合作 助力 L4 级自动驾驶货运 金融界 腾讯云与卡尔动力达成战略合作 36Kr/华尔街见闻 事件追踪 2026-06-13 讯灵智能与腾讯云达成战略合作 2026-06-05 国星宇航与腾讯云签署「星算」计划战略合作协议,共建 AI 云服务产业生态 2026-03-27 腾讯云与上海市普陀区签署战略合作协议 2025-09-17 蘑菇车联与腾讯云达成战略合作 2025-06-04 PPIO与腾讯云达成战略合作,共同推动AI基础设施升级 2025-05-20 腾讯云与文远知行合作再升级,拓展R

25 Aug 2026, 14:45 UTC29 viewsread 25 August 2026

光通信概念股反弹,迈威尔科技涨超 7% 光通信概念股反弹,迈威尔科技涨超 7%,Coherent、Applied Optoelectronics 涨超 4%,诺基亚、Astera Labs、Lumentum 涨超 3%,Credo technology、康宁涨超 2%. 媒体报道 光通信概念股反弹,迈威尔科技涨超 7% ITBear科技资讯/格隆汇 美股光通信板块普涨,迈威尔科技涨超 6% theblockbeats.info 事件追踪 2026-08-24 两大利空拖累,光通信概念盘前集体下挫,Coherent、Lumentum 跌超 4% 2026-08-06 美股光通信概念全线回升,Coherent、康宁涨超 4% 2026-07-20 美股光通信板块盘前集体上涨 Lumentum 涨 3% 2026-06-15 美股光通信板块盘前大涨 迈威尔科技涨近 6% 2026-05-11 美股光通信概念股涨幅扩大 Lumen

25 Aug 2026, 14:25 UTC26 viewsread 25 August 2026

波罗的海干散货运价指数创近两周新高 8 月 25 日波罗的海干散货运价指数(BDI)上涨 44 点至 2926 点,创 8 月 12 日以来新高,因所有船型运费全面走高。其中海岬型船运价指数涨 92 点至 4735 点,日均获利增 840 美元。巴拿马型船运价指数涨 35 点至 2166 点,实现三连涨,日均获利增 318 美元。超灵便型散货船运价指数微涨 2 点至 1643 点。 媒体报道 波罗的海干散货运价指数涨 1.53%,至 2926 点。 财联社/华尔街见闻 波罗的海干散货运价指数创近两周新高 格隆汇 事件追踪 2026-08-20 波罗的海干散货运价指数连跌第二日 2026-08-14 波罗的海干散货运价指数周线下跌,因海岬和巴拿马型船走疲 2026-08-12 波罗的海干散货运价指数连跌三日 2026-08-10 波罗的海干散货运价指数小幅走低,海岬型船运价疲软 2026-08-05 波罗的海干散货运价指数触

25 Aug 2026, 14:25 UTC21 viewsread 25 August 2026

华创云信:贵州金控及其一致行动人成第一大股东 华创云信公告,贵州金控通过大宗交易收购茅台集团等贵州省属国企持有的公司 5% 股份,并与物流集团、盘江股份签署一致行动协议。本次权益变动后,贵州金控及其一致行动人合计持股 2.90 亿股,占总股本 13.11%,成为公司第一大股东。截至公告披露日,公司仍无控股股东、无实际控制人,本次权益变动不触及要约收购。 媒体报道 华创云信:贵州金控收购茅台集团等省属国企持有的公司 5% 股份 财联社 华创云信:贵州金控及一致行动人持股 13.11% 成为第一大股东 同花顺财经 华创云信:贵州金控及其一致行动人成第一大股东 格隆汇 事件追踪 2026-08-15 中央汇金、证金公司退出贵州茅台前十大股东 #热门话题

Showing the 12 most recent of 347 posts we hold for @readhub_cn. 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 — 670,544 of 1,602,868entries 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 7 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.

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.

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.

【华尔街见闻】- 财经时讯 | AI 实时互动
@FinanceNewsDaily · 54,320
Telegram ranks this channel #35 of 60 here — alongside 59 others — read 24 August 2026

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.

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

“Readhub” (@readhub_cn), 8,362 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/readhub_cn.

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.