Meta Muse留存数据出炉:D7留存超30%高于ChatGPT D14为22% 金色财经报道,10月12日,据X平台用户Deedy发布的数据,Meta旗下AI智能体产品Muse的用户留存数据出炉,表现已接近ChatGPT。数据显示,Muse第7日留存率超过30%,高于ChatGPT;第14日留存率为22%,略低于ChatGPT。不过相较于头部消费应用仍有差距:第14日留存率第一梯队中,WhatsApp为67%、YouTube为59%、Instagram为54%、TikTok与Snap为37%。Deedy称,Muse已是留存表现最好的AI产品之一。 电影频道在线看 │ ChatGPT中文群🅥

Channel
币圈新闻即时快讯🅥
@ppbbb
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
21,763subscribers
-570 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 | -1001668307169 |
|---|---|
| Type | Channel |
| Usernames | @ddbbb @ppbbb |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 76 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/ppbbb |
Topic
Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Oct 2026, 19:01 | 21,763 | no change |
| 14 Oct 2026, 09:40 | 21,763 | -11 |
| 13 Oct 2026, 08:15 | 21,774 | +8 |
| 12 Oct 2026, 18:21 | 21,766 | -23 |
| 9 Oct 2026, 01:57 | 21,789 | -46 |
| 8 Oct 2026, 05:36 | 21,835 | -43 |
| 4 Oct 2026, 18:18 | 21,878 | -22 |
| 3 Oct 2026, 16:57 | 21,900 | -76 |
| 26 Sept 2026, 20:17 | 21,976 | -45 |
| 24 Sept 2026, 23:00 | 22,021 | -69 |
| 18 Sept 2026, 17:59 | 22,090 | -1 |
| 17 Sept 2026, 10:15 | 22,091 | -2 |
| 16 Sept 2026, 12:17 | 22,093 | +11 |
| 15 Sept 2026, 07:18 | 22,082 | +1 |
| 14 Sept 2026, 17:39 | 22,081 | -14 |
| 13 Sept 2026, 14:17 | 22,095 | +17 |
| 13 Sept 2026, 05:37 | 22,078 | -32 |
| 11 Sept 2026, 16:37 | 22,110 | +28 |
| 11 Sept 2026, 05:56 | 22,082 | -4 |
| 9 Sept 2026, 00:56 | 22,086 | first reading |
Engagement
1,400 posts held, back to 6 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.636%
- avg views ÷ 21,763 subscribers
- Avg views / post
- 138
- 220 posts measured
- Reaction rate
- 0.489%
- reactions ÷ views · ER floor
- Posts in window
- 220
- of 1,400 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 8 of 220 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 1,400 (6 August 2026 – 12 October 2026) |
| Views total | 30,453 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 10:26 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.
Reaction mix
11 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 63.6% | |
| 👍 | 4 | 36.4% |
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 20 of the 1,000 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 14 August 2026 to 12 October 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
腾讯:耗资1亿港元回购23.5万股 金色财经报道,10月12日,据港交所文件:腾讯控股(0700.HK)于10月12日回购了235,000股,耗资1.004亿港元。 电影频道在线看 │ ChatGPT中文群🅥
Ontology主网已恢复出块 称网络本身无资金损失 金色财经报道,10月12日,据Ontology官方消息,Ontology(本体)公告称,在就一起涉及生态项目的安全事件完成调查后,其主网已恢复出块并回到正常运行状态。公告表示,Ontology核心基础设施保持安全,本体网络本身没有资金损失;此前的临时暂停是与共识节点协调采取的预防性措施,以配合调查并降低潜在风险。Ontology对共识节点、交易所伙伴及社区的耐心与配合表示感谢。 电影频道在线看 │ ChatGPT中文群🅥
Ontology主网恢复出块并回归正常运行,安全事件调查结束 币圈新闻: 10月12日消息,Ontology 宣布,针对生态项目安全事件的调查已结束,其主网已恢复出块并回归正常运行。 Ontology 表示,网络核心基础设施仍然安全,网络本身未发生资金损失。此前暂停出块是 Ontology 与共识节点协同采取的预防性措施,旨在配合调查并降低潜在风险。 电影频道在线看 │ ChatGPT中文群🅥
分析:比特币8万美元防线稳固,突破上方8.7万美元才能打开上行空间 币圈新闻: 10月12日消息,QCP Group 发布市场报告指出,在去年 10 月创下最大单日清算纪录满一周年之际,BTC 整体走势相对坚挺。尽管美国政府转移大批 BTC 以及 Ledger 遭遇黑客攻击等消息引发市场忧虑,但价格依旧保持在区间内波动。BTC 数度上攻 87,000 美元均未能站稳,不过 80,000 美元下方的支撑表现相当扎实。 期权市场层面,隐含波动率仍处于高位,看跌期权溢价有所收窄,整体情绪更倾向于等待方向性突破,而非采取防御姿态。若 BTC 能有效站上 87,000 美元,后续目标或看向 94,000 美元。 电影频道在线看 │ ChatGPT中文群🅥
Upbit将上线Gitcoin(GTC) 金色财经报道,10月12日,据官方公告,Upbit将上线Gitcoin(GTC)。 电影频道在线看 │ ChatGPT中文群🅥
币安获香港公益金杰出贡献奖,表彰大埔火灾援助捐赠 金色财经报道,10月12日,币安宣布,在香港公益金2025/2026年度周年颁奖典礼上,币安获颁「公益金及时雨基金杰出贡献奖 – 大埔火灾援助」,以表彰其在大埔火灾后的援助贡献。去年大埔火灾发生后,币安集团向香港公益金捐赠1,000万港元,用于支持灾后救援及复原工作。币安首席营销官兼币安慈善代表 Eowyn Chen 代表集团接受奖项。 Eowyn Chen 表示,用户和社群是币安发展的重要根基,集团希望在困难时刻为有需要的人士提供及时支持,并持续向社会和社群传递正向力量。 币安慈善持续支持全球急难救助、教育及扶贫等项目。自2018年成立以来,币安慈善已捐赠超过4,700万美元,为87个国家和地区的超过420万人提供援助。 电影频道在线看 │ ChatGPT中文群🅥
香港交易所与标普道琼斯指数合作推出联名指数 金色财经报道,香港交易所宣布与标普道琼斯指数合作开发推出标普500香港交易所科技100指数。该指数旨在衡量美国上市龙头企业以及在香港上市市值最大的科技公司的表现。指数约60%配置于香港交易所科技100指数,40%配置于标普500指数,并按季调整权重。 电影频道在线看 │ ChatGPT中文群🅥
QCP:BTC守稳80000美元支撑 87000美元压力待破 金色财经报道,10月12日,据QCP Group市场报告,BTC在去年10月最大单日清算事件一周年后表现相对稳健,尽管市场对美政府转移大量BTC及Ledger遭黑客攻击有所担忧,价格仍区间震荡。BTC多次冲击87000美元未果,但下方80000美元支撑较为稳固。期权市场方面,隐含波动率维持高位,看跌期权溢价收窄,市场整体偏向等待突破而非防御性布局;若有效突破87000美元,下一目标位或指向94000美元。报告称,市场存在一笔较大规模的10月30日到期90000/95000/100000美元看涨蝶式期权多头头寸,为月末最大持仓点。本周宏观面迎关键考验:周三(10月14日)美国CPI、周四(10月15日)PPI相继公布,周五(10月16日)美联储主席Warsh将在IMF-世界银行年会讲话,市场对10月加息概率定价约17%,上述数据及信号或成BTC方向选择的重要触发点。 …
Anthropic上半年封禁1140万账号,环比增幅约6.9倍 币圈新闻: 10月12日消息,根据 Anthropic 7 月 23 日更新的透明度报告,2026 年上半年平台累计封禁账号 1140 万个,相比 2025 年下半年的 145 万个,环比增幅约 6.9 倍,封禁规模达到上一统计周期的近 7.9 倍。在申诉方面,同期 Anthropic 共受理封号申诉 39.8 万次,其中约 4.2 万次申诉成功、原封禁决定被撤销,申诉通过率约 10.6%。 Anthropic 说明称,封禁账号主要涉及违反使用政策、服务条款或支持地区政策等情形。该统计涵盖公司旗下全部产品与服务,并未对 Claude 聊天产品与开发者服务分别列示。 电影频道在线看 │ ChatGPT中文群🅥
Upbit将在韩元、USDT市场上线GTC代币 币圈新闻: 10月12日消息,据官方公告,韩国加密交易所Upbit将在韩元、USDT市场上线GTC代币,交易将于当地时间10月12日19:30开始。 电影频道在线看 │ ChatGPT中文群🅥
亿万富翁Grant Cardone:公司每月买入比特币并将再融资增持500枚BTC 币圈新闻: 10月12日消息,Bitcoin Treasuries 在 X 平台发文称,亿万富翁 Grant Cardone 向 Peter Schiff 透露其公司每月都会利用房地产产生的现金流买入更多比特币,并计划通过再融资再购入 500 枚比特币。 消息称,该公司正借助房地产资产以外的资产类别来进一步增持比特币。 电影频道在线看 │ ChatGPT中文群🅥
Showing the 12 most recent of 1,400 posts we hold for @ppbbb. 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.
Mentions
Named by 4 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@ppbbb named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 29 August 2026 – 29 August 2026
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.
@telonews_cn · 81,785
Telegram ranks this channel #4 of 65 here — alongside 64 others — read 18 August 2026
@fenchacaij · 241,871
Telegram ranks this channel #8 of 83 here — alongside 82 others — read 17 August 2026
@jinsecaijinpingdao · 228,463
Telegram ranks this channel #13 of 90 here — alongside 89 others — read 17 August 2026
@FinanceNewsDaily · 58,428
Telegram ranks this channel #18 of 60 here — alongside 59 others — read 24 August 2026
@toncoin_cn · 138,725
Telegram ranks this channel #21 of 87 here — alongside 86 others — read 17 August 2026
@BtokMedia · 274,963
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 17 August 2026
@sucai1 · 59,748
Telegram ranks this channel #25 of 41 here — alongside 40 others — read 14 August 2026
@HuaErJie1 · 63,264
Telegram ranks this channel #28 of 80 here — alongside 79 others — read 20 August 2026
@sucai277 · 102,838
Telegram ranks this channel #29 of 35 here — alongside 34 others — read 15 August 2026
@pp854 · 68,511
Telegram ranks this channel #30 of 37 here — alongside 36 others — read 19 August 2026
@sucai177 · 99,685
Telegram ranks this channel #31 of 34 here — alongside 33 others — read 15 August 2026
@OKXAnnouncements_CN · 45,174
Telegram ranks this channel #34 of 88 here — alongside 87 others — read 28 August 2026
@guanchahulw · 63,263
Telegram ranks this channel #38 of 72 here — alongside 71 others — read 20 August 2026
@Coindesk001 · 50,102
Telegram ranks this channel #39 of 57 here — alongside 56 others — read 22 August 2026
This channel appears in 14 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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“币圈新闻即时快讯🅥” (@ppbbb), 21,763 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/ppbbb.
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.