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Channel

Leonn的博客

@liyuans

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

14,332subscribers

+81 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-1001132076843
TypeChannel
Username@liyuans
Description主要内容为低价主机资源,会掺杂频道主个人兴趣的内容,如电子垃圾、游戏、生活、时事等。 本频道原创消息遵循 CC-BY-4.0 协议。 投稿bot: @liyuansContributeBot 广告/投稿相关联系: @LeonnSecretaryBot 读者反馈联系: @LeonnFeedback_bot 群组: @zhenggui 推荐补货监控: @vpscang 推荐测评频道: @HostEvaluate
Created4 August 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/liyuans

Topic

Ecommerce storefront — 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 48% 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.

Growth

14,25114,33214,291.56 August 2026 — 14,251 subscribers6 August 2026 — 14,251 subscribers7 August 2026 — 14,259 subscribers8 August 2026 — 14,263 subscribers9 August 2026 — 14,265 subscribers10 August 2026 — 14,274 subscribers11 August 2026 — 14,280 subscribers12 August 2026 — 14,281 subscribers13 August 2026 — 14,284 subscribers14 August 2026 — 14,292 subscribers16 August 2026 — 14,297 subscribers17 August 2026 — 14,296 subscribers18 August 2026 — 14,298 subscribers19 August 2026 — 14,292 subscribers20 August 2026 — 14,296 subscribers21 August 2026 — 14,295 subscribers22 August 2026 — 14,297 subscribers24 August 2026 — 14,292 subscribers25 August 2026 — 14,304 subscribers26 August 2026 — 14,303 subscribers27 August 2026 — 14,308 subscribers28 August 2026 — 14,304 subscribers29 August 2026 — 14,311 subscribers30 August 2026 — 14,314 subscribers31 August 2026 — 14,316 subscribers1 September 2026 — 14,323 subscribers2 September 2026 — 14,322 subscribers3 September 2026 — 14,324 subscribers5 September 2026 — 14,327 subscribers9 September 2026 — 14,321 subscribers11 September 2026 — 14,330 subscribers13 September 2026 — 14,321 subscribers15 September 2026 — 14,307 subscribers16 September 2026 — 14,310 subscribers25 September 2026 — 14,292 subscribers4 October 2026 — 14,290 subscribers8 October 2026 — 14,284 subscribers13 October 2026 — 14,292 subscribers15 October 2026 — 14,288 subscribers16 October 2026 — 14,287 subscribers17 October 2026 — 14,295 subscribers18 October 2026 — 14,299 subscribers19 October 2026 — 14,301 subscribers20 October 2026 — 14,303 subscribers23 October 2026 — 14,301 subscribers25 October 2026 — 14,307 subscribers26 October 2026 — 14,311 subscribers27 October 2026 — 14,320 subscribers28 October 2026 — 14,318 subscribers29 October 2026 — 14,316 subscribers30 October 2026 — 14,314 subscribers1 November 2026 — 14,315 subscribers1 November 2026 — 14,314 subscribers2 November 2026 — 14,319 subscribers3 November 2026 — 14,320 subscribers5 November 2026 — 14,319 subscribers6 November 2026 — 14,320 subscribers7 November 2026 — 14,323 subscribers8 November 2026 — 14,329 subscribers9 November 2026 — 14,332 subscribers6 August 20269 November 2026
60 measurements spanning 96 days, net +81. 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 14,239–14,344 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
9 Nov 2026, 20:2014,332+3
8 Nov 2026, 14:5814,329+6
7 Nov 2026, 07:0514,323+3
6 Nov 2026, 03:4914,320+1
5 Nov 2026, 00:0814,319-1
3 Nov 2026, 21:1614,320+1
2 Nov 2026, 19:0614,319+5
1 Nov 2026, 22:0714,314-1
1 Nov 2026, 00:4614,315+1
30 Oct 2026, 21:1114,314-2
29 Oct 2026, 17:4414,316-2
28 Oct 2026, 16:5814,318-2
27 Oct 2026, 17:1914,320+9
26 Oct 2026, 13:3614,311+4
25 Oct 2026, 14:2614,307+6
23 Oct 2026, 16:0614,301-2
20 Oct 2026, 10:2614,303+2
19 Oct 2026, 12:2914,301+2
18 Oct 2026, 14:4114,299+4
17 Oct 2026, 16:3614,295first reading

Engagement

71 posts held, back to 25 June 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.0%
avg views ÷ 14,332 subscribers
Avg views / post
2,580
15 posts measured
Reaction rate
0.067%
reactions ÷ views · ER floor
Posts in window
15
of 71 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 10 of 15 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 11 November 2026
Posts held71 (25 June 2026 – 11 November 2026)
Views total38,706
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 07:20 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
≈3,170
Videos
≈49
Links
≈36,200

Lifetime counters from Telegram’s own channel header, read 11 November 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

101 reactions across 33 posts, in 9 distinct kinds. The most used accounts for 52.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5352.5%
🤡1716.8%
💩1514.9%
👎76.93%
👍54.95%
👌10.99%
💔10.99%
😭10.99%
🤮10.99%

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 46 of the 71 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 113 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 71 most recent posts we hold, published 25 June 2026 to 11 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 71 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @liyuans. 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 71 most recent posts we hold for this entry, published 25 June 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) 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).

11 Nov 2026, 04:23 UTC576 views1 reactionsread 11 November 2026

WePC上新通告: 意大利原生IP(检测结果参考ping0及 pingip.cn ) 产品上线,观摩地址: https://wepc.au/index.php/store/tiktok-vps/italytk 另有英法德西美加澳日韩台新马泰菲越印尼巴西南非等区域: https://wepc.au/index.php/store/tiktok-vps 送上全场通用优惠码(台湾新加坡及美国家宽系列无效): 9折优惠码 (月付季付有效) : WePCMON90 8折优惠码 (年付有效) : WePCYEAR80 本站收取澳币或人民币: 支付宝/信用卡/Payapl(需要注册WePC账户时选择澳币) 获取最新信息,请关注频道: 频道地址:https://t.me/WePC_AU

👍1

Signed Leonn 频道投稿

9 Nov 2026, 20:27 UTC≈1,220 viewsread 11 November 2026

MKCloud【三周年庆 × 双十一限时优惠】🎉 【全场限时折扣优惠】(新购时可直接选择优惠) 🚀流量计费产品:限时 8.5 折循环优惠 🚀独享带宽产品:首月 5 折特惠(仅限新购) ⚡原有活动产品不参与本次折扣。已持有符合条件的流量计费产品,可提交工单申请应用/更换折扣。 【专线产品配置翻倍】(需提交工单申请) 🔡IPLC / IEPL 流量计费专线|6T 及以上套餐 CPU 核数、内存和磁盘容量翻倍,峰值带宽提升 50%。 🔡IX 流量计费专线|10T 及以上套餐 CPU 核数、内存和磁盘容量翻倍,峰值带宽提升 50%。 🔡独享带宽专线 CPU 核数、内存和磁盘容量翻倍,独享带宽不参与提升。 ⚡流量计费专线的流量额度不参与翻倍。符合条件的新购及已持有产品,均可提交工单申请配置升级。 ⚡活动期间,已持有产品通过工单升级至符合条件的套餐后,也可申请。每台机器限享一次本次配置翻倍优惠。 ⚡已享循环折扣的产品,通过工单升…

Signed Leonn 频道投稿

9 Nov 2026, 10:19 UTC≈1,380 viewsread 11 November 2026

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Signed Leonn 频道投稿

6 Nov 2026, 09:40 UTC≈2,150 views2 reactionsread 11 November 2026

CstoneCloud: 欢庆双十一 全场限时六折 最低24起 英国住宅/美国住宅9929优化 双ISP 香港CN2 VPS 解锁TK 各大AI 流媒体 限时优惠码: 月付八折优惠码:double-11-month 年付六折优惠码:double-11-year 优惠码使用截止日期 2026-12-31 下方价格统一为折后月付价 年付价格更优惠 香港优化 云服务器: (香港全系列服务器额外提供30Mbps下行) 【HK-CN2-A】 1H1G 20GSSD 10Mbps带宽 500GB流量 1个IP 折后:24CNY/每月 立即购买 CUII-9929住宅IP产品: 【CUII-ISP-A】 1H1G 20GSSD 100Mbps带宽 1TB流量 一个双ISP住宅IP 折后:44CNY/每月 立即购买 英国双ISP住宅IP产品: 【UK-ISP-A】 1H1G 20GSSD 300Mbps带宽 2TB流量 一个住宅IP 折…

❤1😭1

Signed Leonn 频道投稿

31 Oct 2026, 06:52 UTC≈3,170 views3 reactionsread 11 November 2026

Lumio 新品上线|日本住宅 ISP 独享 M6 Mac mini 现已开售! 新一代 Apple M6 12 核 CPU,比 M4 多 2 核,内存最高 24GB,Xcode 编译、CI 构建等待更短。日本区 M6 Mac mini 已开放购买: 💻 M6 套餐 M6 Essential|$260/月 16GB 内存、256GB SSD M6 Core|$320/月 16GB 内存、512GB SSD M6 Advanced|$320/月 24GB 内存、256GB SSD M6 Premium|$360/月 24GB 内存、512GB SSD 以上套餐均为整机独享,搭载 Apple M6 12 核 CPU、日本住宅 ISP,300Mbps 共享端口、每月 5000GB 流量,付款后 15–30 分钟自动开通。 🔒 数据安全 我们不审计、不留存用户数据;你还可以开启 macOS 文件保险箱(FileVault)整…

👍2👎1

Signed Leonn 频道投稿

30 Oct 2026, 15:09 UTC≈2,680 views2 reactionsread 11 November 2026

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❤1👍1

Signed Leonn 频道投稿

29 Oct 2026, 15:30 UTC≈2,730 views0 reactionsread 11 November 2026

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Signed Leonn 频道投稿

23 Oct 2026, 12:10 UTC≈3,610 views2 reactionsread 11 November 2026

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❤1💩1

Signed Leonn 频道投稿

21 Oct 2026, 07:30 UTC≈3,470 views3 reactionsread 11 November 2026

🔥 Jtti 10月限时特惠 · 香港轻量云 200M 大带宽回归 HK OP_1C1G — 200M 独享优化线路 1核 · 1G 内存 50 GB SSD 系统盘 200Mbps 独享带宽 · 中国优化线路 1 个 IPv4 800GB 双向流量 💰 价格 $42.07 / 半年 ≈ $7/月 折扣力度:-73% 终身循环折扣,续费不涨价,无隐藏费用。 🎯 适合场景 • 建站 / 博客 / 轻量应用 • 视频流媒体 / 大文件传输 / CDN 节点 • 中转 / 代理 / 小火箭 • 香港节点 + 200M 大带宽,高流量场景性价比拉满 ⏰ 先买先享 🔗 点击查看活动页 📌 补充选项(同页面在售,按需选择) • 日本 1C1G / 5M 优化 / $36/年 ≈ $3/月(-75%) • 香港 2C4G / 5M CN2 / $99/年 ≈ $8/月(-80%),建站热门款 • 美国 4C8G / 20M…

❤3

Signed Leonn 频道投稿

20 Oct 2026, 02:50 UTC≈3,070 viewsread 11 November 2026

美国 Cloudflare 高仿线路云服务器限时 八 折优惠 优惠码: Hosu80 CPU: EYPC 7V12 线路:Cloudflare 高仿(大陆优化回程) 带宽: 300Mbps 流量: 1024G 配置价格 CPU 4-32 核心 内存 2-64G DDR4 带宽 300Mbps 流量 1TB 折后价 64 / 月 购买地址: https://www.hosuyun.cn/cart?fid=14&gid=229 适合建站、CF 回源、开发测试、轻量应用部署等用途,请购买前确认产品配置、机房线路及服务条款是否符合自己的需求。 弘速云 - 专注香港高性能云服务器

Signed Leonn 频道投稿

19 Oct 2026, 11:49 UTC≈2,770 viewsread 11 November 2026

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Signed Leonn 频道投稿

19 Oct 2026, 06:43 UTC≈2,380 views0 reactionsread 11 November 2026

🎉 完美节点 × SLA Network Basic (Global Transit Only) 系列正式上线! 经过两个多月的精心筹备与规划,我们很高兴地宣布,完美节点与 SLA Network 深度合作的 Basic 系列产品 正式面世。 ✨ 产品亮点: 🌐 优质上游:采用 DataPacket 作为核心上游 🚀 极致性价比:打破传统优化线路局限,提供 “大流量 + 大带宽 + 单向流量计费” 超强组合 🔍 Looking Glass (AS60086): 👉 LAX1 Basic 测试节点 📦 全新套餐推荐: 🔹 流量型 Basic S CPU: 2 vCPU (Xeon Gold) 内存: 2 GB RAM 硬盘: 15 GB NVMe 流量: 8 TB (仅计 Out/单向) 带宽: 2 Gbps Uplink IP: 1 * IPv4 + 1 * /64 IPv6 路由: 三网 (CT/CU/CM) 路由至 AS60…

Signed Leonn 频道投稿

Showing the 12 most recent of 71 posts we hold for @liyuans. 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.

Forward network

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 5 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.

风向旗参考快讯
@xhqcankao · 200,273
Telegram ranks this channel #30 of 45 here — alongside 44 others — read 12 August 2026
在花🎗️科技圈
@zaihuapd · 289,953
Telegram ranks this channel #38 of 40 here — alongside 39 others — read 12 August 2026
竹新社
@tnews365 · 167,192
Telegram ranks this channel #43 of 59 here — alongside 58 others — read 12 August 2026
每日沙雕墙
@woshadiao · 114,495
Telegram ranks this channel #46 of 52 here — alongside 51 others — read 14 August 2026

This channel appears in 4 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Leonn的博客” (@liyuans), 14,332 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/liyuans.

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.