本频道评论区交流群改为人工审核,若未通过审核请联系管理员 @id7371 手动解封。看起来不像是真实账号都可能被拒,请联系管理员处理。群里存量账号有部分广告号,如发现广告请对着消息回复 举报 提交给大肥鱼进行AI审核处理。
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Channel
@landiansub
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
46,998subscribers
+4,023 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001125882855 |
|---|---|
| Type | Channel |
| Username | @landiansub |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/landiansub |
Hacking & security — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 00:58 | 46,998 | +54 |
| 6 Nov 2026, 19:48 | 46,944 | +65 |
| 5 Nov 2026, 17:35 | 46,879 | +56 |
| 4 Nov 2026, 18:27 | 46,823 | +64 |
| 3 Nov 2026, 21:49 | 46,759 | +66 |
| 3 Nov 2026, 00:10 | 46,693 | +61 |
| 1 Nov 2026, 23:36 | 46,632 | +29 |
| 31 Oct 2026, 20:28 | 46,603 | +55 |
| 30 Oct 2026, 19:36 | 46,548 | +102 |
| 29 Oct 2026, 19:19 | 46,446 | +88 |
| 28 Oct 2026, 16:47 | 46,358 | +55 |
| 27 Oct 2026, 16:08 | 46,303 | +50 |
| 26 Oct 2026, 15:06 | 46,253 | +31 |
| 25 Oct 2026, 13:19 | 46,222 | +36 |
| 24 Oct 2026, 11:00 | 46,186 | +27 |
| 23 Oct 2026, 09:45 | 46,159 | +27 |
| 22 Oct 2026, 08:29 | 46,132 | +61 |
| 20 Oct 2026, 23:48 | 46,071 | +33 |
| 19 Oct 2026, 23:11 | 46,038 | +37 |
| 18 Oct 2026, 21:59 | 46,001 | first reading |
902 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 184 pages of 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 7 November 2026 |
|---|---|
| Posts held | 902 (4 August 2026 – 7 November 2026) |
| Views total | 1,309,120 |
| Reactions total | 19,906 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 16:58 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.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
58,548 reactions across 881 posts, in 51 distinct kinds. The most used accounts for 22.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 13,080 | 22.3% | |
| 🤡 | 12,554 | 21.4% | |
| 👍 | 7,393 | 12.6% | |
| 👎 | 4,593 | 7.84% | |
| 🖕 | 2,148 | 3.67% | |
| 🤬 | 1,894 | 3.23% | |
| ❤ | 1,531 | 2.61% | |
| 🤯 | 1,320 | 2.25% | |
| 😱 | 1,259 | 2.15% | |
| 🤔 | 1,199 | 2.05% | |
| 🥱 | 884 | 1.51% | |
| 🤪 | 808 | 1.38% | |
| 👌 | 698 | 1.19% | |
| 🫡 | 678 | 1.16% | |
| 😇 | 633 | 1.08% | |
| 😭 | 564 | 0.963% | |
| 🤗 | 482 | 0.823% | |
| 🥰 | 480 | 0.82% | |
| 🎉 | 477 | 0.815% | |
| 🕊 | 466 | 0.796% | |
| 31 further kinds | 5,407 | 9.24% |
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 894 of the 902 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 59,255 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 902 most recent posts we hold, published 4 August 2026 to 7 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @landiansub. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 902 most recent posts we hold for this entry, published 4 August 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 78 of 342 posts held from the last 30 days (22.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
本频道评论区交流群改为人工审核,若未通过审核请联系管理员 @id7371 手动解封。看起来不像是真实账号都可能被拒,请联系管理员处理。群里存量账号有部分广告号,如发现广告请对着消息回复 举报 提交给大肥鱼进行AI审核处理。
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#安全资讯 卧槽用户底裤都被扒了:加密支付卡服务商 Gnosis Pay 披露,11 月 3 日发现有人未经授权访问其自有品牌卡业务系统。 用户支付卡卡号、CVV 码、有效期、姓名等诸多敏感信息全部泄露。 在公告里 Gnosis Pay 并未透露存在数据泄露事件,而是强调安全团队在 2 小时内即解决问题。 但该公司发给用户通知里提到泄露信息包括完整卡号、有效期、CVV 安全码、姓名、家庭住址及关联的加密钱包地址。 姓名、住址与链上地址相互关联,可能让针对性诈骗更具迷惑性。 Gnosis Pay 表示,用户资金未遭转移,事件影响其自有品牌卡系统,企业白标发卡平台未受影响。 公司已通知受影响用户,并对所有线上刷卡交易强制启用 3D Secure,措施将持续至旧版 B2C 系统按计划于 12 月 20 日退役。 收到提及真实姓名、地址或消费记录的可疑消息时,请直接通过官方应用或网站核实。 Gnosis Pay 提醒用户…
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群友做得开源项目,国内ChromiumOS社区规模比较小,所以发过来看看有没有社区用户可以一起参与改进。 项目地址:https://github.com/Remik1r3n/chromebook-chromiumos-audio/blob/master/README_zh.md 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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我啥也没干,#Claude 怎么我知道我在CN🤨🤨🤨系统时区设置的SG,节点是LAX的。得亏这是个免费账号,要是开订阅是不是秒封 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#安全资讯 国内安全公司微步在线发布声明拥有ARTEX渗透框架版权,相关开源版二开也必须开源。 ARTEX 渗透测试框架在 9 月份的百度安全 Agent + 攻防能力挑战赛中获得冠军,但在 10 月有黑客使用该框架对韩国金融机构发起攻击。 在 10 月 8 日该框架原作者宣布关闭公共仓库不再开源,当前网上还有诸多分支。 项目原作者是微步在线的渗透测试工程师,但项目本身是这名工程师的业余项目。 从微步在线声明来看,该公司应该是收购了项目并将集成到商业版产品中。 微步在线也强调,基于原开源版的分支,可以在遵守许可证要求下继续使用,但二开也应当开源。 若需基于 ARTEX 开发商业产品,则需要获得微步在线的商业授权。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128127?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#行业资讯 任天堂日前发布新财报公布 Switch 2 游戏掌机的销量,数据显示在 2026 年 7 月到 9 月,Switch 2 出货量为 267 万台。 而在 2025 年 7 月到 9 月,销售量为 454 万台,即当季销量较去年同期下跌 41%。 在 9 月份任天堂已经提高 Switch 2 售价,不过当前任天堂没有继续涨价的计划。 涨价可以覆盖内存成本,但也会导致销量下滑,至少目前任天堂不敢涨价了。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128126?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#系统资讯 没有Windows 12:微软正在准备Windows 11 27H2版更新 据称是重大版本更新 Windows 11 27H2 版侧重点是系统质量和性能,也就是减少各类问题、提升稳定性并优化内存占用等。 据称微软还将更换默认壁纸,不再使用沿用多年的 Windows 11 经典壁纸。 当前的 25H2/26H2 均以 24H2 版为基础,属于小型更新,而目前传言是 27H2 版将是重大更新。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128125?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#人工智能 [已修复] 安全公司发现 ChatGPT HTML 预览功能沙盒存在漏洞,攻击者可以利用漏洞窃取用户的聊天记录。 漏洞发生原因主要是 ChatGPT HTML 预览使用的 iframe 嵌套框架问题,当发生多次嵌套沙盒处理逻辑有问题导致可以执行攻击者控制的代码。 该漏洞已经在 9 月完成修复,用户升级到 ChatGPT 客户端最新版即可。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128124?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#软件资讯 免费教育福利再缩水:微软将取消 Office 365 A1,学生福利和 100TB 共享存储池 地主家也没余粮系列,微软将取消面向教育机构提供的免费 Microsoft 365 A1 学生订阅,100TB 共享存储池也将取消。 后续微软将主要转向付费订阅,包括 A0/A2/A3/A5/A7 等。 其中 A0 仍然为学生免费提供,但前提是学校要为全部教职工开通 A2 或更高订阅。 至于 OneDrive 存储池,微软将根据付费的学生 / 教职工许可证数量来计算。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128123?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#软件资讯 微软终于开始改造,PowerToys:取色器和文字提取工具换上,WinUI 3 微软开源的综合高阶工具 PowerToys 将迁移到 WinUI3 原生框架,当前已经完成迁移的包括取色器和文本提取器。 当前该工具同时使用 WPF、Windows Forms 和 WinUI 等界面技术,微软则计划在后续全部迁移到 WinUI3。 迁移后有助于减少项目维护复杂度,也能让软件视觉风格更加贴近 Windows 11。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128122?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#人工智能 A社开源FlashProve研究原型:可以验证AI回复来自指定模型,比如你选择Astra结果路由到Luna A 社开源发布 FlashProve 研究原型,可验证 AI 回复是否来自指定模型,比如你选择 Astra 结果给你路由到 Luna。 该技术使用名为 zkSNARK 的零知识证明技术,先对模型权重作出密码学承诺,接着为推理结果生成证明。 用户可以检查这证明确认结果对应承诺的模型,问题是这个技术要模型提供商主动介入证明流程,经常悄悄降智的公司肯定不愿意部署。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128121?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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#安全资讯 安全灾难:越来越多的黑客开始利用iOS和安卓旧漏洞发起攻击,用户访问挂马网站就会被感染 越来越多的黑客开始利用安卓和 iOS 已修复的漏洞发起攻击,用户未更新系统或软件,访问被挂马网站就会被植入后门程序。 安全公司 SEKOIA 发布的报告显示,APT29 利用 DarkSword 工具和 Chrome for Android 旧版本漏洞开展广泛攻击。 这类攻击并非针对特定用户,而是对数以千计的网站挂马,只要用户访问这些网站就可能中招。 但用户将系统和软件升级到最新版就可以免疫攻击,只不过很多用户长期使用旧版本,并未更新。 -------------------- 以上为内容摘要,查看全文:https://ourl.co/128120?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS
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Showing the 12 most recent of 902 posts we hold for @landiansub. 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.
@landiansub edited 18 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 34 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 87 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“蓝点网订阅频道” (@landiansub), 46,998 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/landiansub.
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.