Telegram RegisterThe public register of Telegram

Channel

TG小树屋|资源分享&公益代理

@xiaoshuwu

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

80,852subscribers

+758 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001878410760
TypeChannel
Username@xiaoshuwu
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/xiaoshuwu

Growth

80,09480,85280,4736 August 2026 — 80,094 subscribers6 August 2026 — 80,165 subscribers8 August 2026 — 80,296 subscribers9 August 2026 — 80,360 subscribers10 August 2026 — 80,404 subscribers10 August 2026 — 80,467 subscribers12 August 2026 — 80,596 subscribers12 August 2026 — 80,674 subscribers14 August 2026 — 80,852 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +758. 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 79,980–80,966 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:5480,852+178
12 Aug 2026, 22:2980,674+78
12 Aug 2026, 01:5780,596+129
10 Aug 2026, 22:3780,467+63
10 Aug 2026, 00:2880,404+44
9 Aug 2026, 01:4280,360+64
8 Aug 2026, 02:0780,296+131
6 Aug 2026, 23:4880,165+71
6 Aug 2026, 09:3280,094first reading

Engagement

45 posts held, back to 2 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.46%
avg views ÷ 80,852 subscribers
Avg views / post
2,790
45 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
45
of 45 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 40 of 45 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 8 August 2026
Posts held45 (2 August 20268 August 2026)
Views total125,720
Reactions total225
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 00:43 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

225 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 38.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8738.7%
6328.0%
🤡3013.3%
❤‍🔥2712.0%
😁52.22%
🔥41.78%
🎉31.33%
🤩31.33%
🥰31.33%

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 40 of the 45 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 225reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 2 August 2026 to 8 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

8 Aug 2026, 14:31 UTC≈1,230 views8 reactionsread 9 August 2026
Photo

✅你见过让 Codex 直接当导演拍宣传片吗 🏷标签:#视频制作 #ai #skill 🟢Video ShotCraft:专门给 Codex 准备的 AI 视频制作 Skill • 只要把你的产品和需求丢给它,AI 就能自己搞定分镜设计、页面运镜、动画、节奏卡点、转场和电影级音效,最后直接生成一支像模像样的产品宣传片。项目内置 104 张电影感镜头配方、161 种动态样式和 161 条可预览样片,真实网页截图还能做出超有质感的 2.5D 运镜效果;甚至连完整成片模板都给你准备好了,换掉截图、文案和品牌信息就能直接出片。以前做这种科技感产品视频得会 AE、剪辑和动效,现在可能真的只需要一句话:“帮我的产品做一支宣传片。” 📖项目地址 🔗官方网站 👍打开通知点个赞 树屋更新必带派

👍6❤‍🔥2

8 Aug 2026, 13:58 UTC≈1,220 views4 reactionsread 9 August 2026
Photo

✅妥妥的 AI 自动化办公神器 🏷标签:#ai #办公 🟢OfficeCLI:专门为 AI 智能体打造的免费开源 Office Skill • 让 AI 直接创建、读取和修改 Word、Excel、PPT,不用安装微软 Office,也不用折腾一堆 Python 库和依赖。最狠的是它还自带高保真渲染引擎,AI 做完 PPT 不再是“闭着眼睛写文件”,而是可以自己渲染、看效果、发现排版问题再继续修改,真正实现 “生成 → 看见 → 修改” 的闭环。做自动 PPT、批量改文档、生成 Excel 报表、AI 办公自动化都非常香,一条命令就能让你的 AI 多出一套 Office 超能力! 📖项目地址:直达链接 😌TG小树屋 @xiaoshuwu

👍4

8 Aug 2026, 13:33 UTC≈1,210 views2 reactionsread 9 August 2026
File

每日音乐🌟 #music 好歌多听~

❤‍🔥2

8 Aug 2026, 13:01 UTC≈1,240 views6 reactionsread 9 August 2026
Photo

✅带着你最强的 Agent 参与海淀城市规划 🏷标签:#ai #城市规划 🟢介绍: • OPEN CITY · HAIDIAN 直接把北京海淀约 43.6 平方公里的真实城市区域交给 AI Agent 来设计:你可以让 Claude Code、Codex 等智能体读取官方整理好的城市数据和任务书,自己研究、规划、生成完整方案,再通过 GitHub PR 正式投稿。它玩的可不是普通 AI Demo,而是真实的「百年京张 AI 创新带」城市设计——从 AI+交通、AI+医疗、未来公共空间,到机器人、自动驾驶、城市智能体治理,全都能让 Agent 发挥。更炸裂的是,优秀方案还将进入后续专业深化与实际建设,贡献者和 Agent 甚至有机会以荣誉墙、碑刻等形式永久留下名字。以前我们用 AI 写代码、做 PPT,现在已经开始让 AI 参与设计一座真正的城市了 👍把城市规划交给AI,贡献者的名字刻在纪念碑上 📖项目地址 🔗参赛

👍51

8 Aug 2026, 12:59 UTC≈1,070 views2 reactionsread 9 August 2026

🔥麻将胡了🔥赏金女王🌈棋牌🌈体育🌈捕鱼🔥彩票 💕全都有! 主打信誉口碑✨大小额出款无忧 各种出入款方式 😂👍👍👍👍 🥰🥰🥰🥰🥰🥰🥰🥰 😎南宫官网: nu54g.top 【备用长链】 🫰 C7 官网: c7m20.top 【备用长链】 👍28圈官网: q24qm.top 【备用长链】 😃壹号官网: y10yt.top 【备用长链】 😃问鼎官网: wdq06.top 【备用长链】 😎纵横官网: z66sg.top 【备用长链】 🥰🥰🥰🥰🥰🥰🥰🥰 📐首充500送500 2000+1000 📐首充2000最高赠送88888彩金! 🥰🥰🥰🥰🥰🥰🥰🥰 👉 高速飞机代理 👉 吃瓜新闻娱乐 👉 仙宫供需广告 人生就是一场赌博 不赌 你怎么翻身? 三十年河东 三十年河西 莫欺少年穷! 📐2026新客注册大礼包: 以上平台现在注册免费送388礼金!

👍2

8 Aug 2026, 12:59 UTC≈1,060 views1 reactionsread 9 August 2026
Photo

🚀飞鸟加速 | 飞一般的VPN 🏅 全平台支持:Windows/Android/iOS/Mac 🎖 最高5Gbps极速传输,无限速·无广告·无限流量 🏅 国际顶级专线节点,优质线路,高清秒开零卡顿 🌟 全球100+稳定节点,多端同时在线,一键导入订阅 🔥 高速安全访问全球网络,无论身在何处,都像在家上网 🎗 顶级团队自研APP长期稳定,支持支付宝/微信/USDT支付 ❄️永久官网: jl.vpnvpn.com 🌐 官方客服 | 🤖双向Bot

👍1

8 Aug 2026, 12:59 UTC≈1,050 views3 reactionsread 9 August 2026
Photo

🚀 kitty Network|2元/月全年24元 🔥不限设备|不限速|无倍率套路 🌼Amazon 5Gbps全球骨干网,全节点直连 ✔️ 大流量随心下载 ✔️ 解锁流媒体 & AI 平台 ✔️ 稳到能当主力,价格低到人人备一条 😀一杯奶茶钱,一条永不失联的线路 😀 [立即注册] | [加入频道]

👍3

7 Aug 2026, 14:40 UTC≈2,850 views17 reactionsread 9 August 2026
Photo

下海 or 上岸?:深夜老师 🫥 程序员 码农里最漂亮的,老师里代码写的最好的🤡 🔗个人网站 🌐推特主页

👍10😁52

7 Aug 2026, 14:38 UTC≈2,810 views4 reactionsread 9 August 2026
Photo

✅C盘又爆红,但又不敢乱删文件? 🏷标签:#C盘 #垃圾清理 🟢C盘管家(Disk Butler) • 不是那种一上来就吓你“发现几千个垃圾”的流氓清理软件,而是会直接告诉你:这是什么、为什么占空间、删了会怎样。支持秒级磁盘扫描、可视化查看空间占用、一键清理垃圾和缓存、Windows 深度清理、开机启动管理以及内存占用体检,连微信、剪映、npm、conda 等常见软件目录都能用中文解释清楚。更关键的是,它安装包仅约 2.4MB,基于 Rust + Tauri 开发,完全开源、零广告、零网络请求,所有分析都在本地完成,清理还采用白名单机制,个人数据默认不碰 📖项目地址:直达链接 👍打开通知点个赞 树屋更新必带派

👍4

7 Aug 2026, 14:00 UTC≈2,570 views2 reactionsread 9 August 2026
Photo

✅服务器状态,就在口袋里 🏷标签:#vps #服务器 🟢ServerBox:开源、跨平台的 VPS 管理工具 • 不用天天对着黑乎乎的终端敲命令,手机和电脑上就能直接查看 CPU、GPU等运行状态,还内置 SSH 终端、SFTP 文件管理、Docker,服务器出了什么情况一眼就能看明白。更爽的是它同时支持 iOS、Android、Windows、macOS、Linux,甚至还有桌面小组件、状态推送、Face ID/生物认证和 watchOS App,随时随地掏出手机就能管服务器。界面颜值也相当在线,属于那种功能很硬核,但用起来一点都不折腾的 VPS 管理神器! 🌐官方网站 📖项目地址 😌TG小树屋 @xiaoshuwu

👍2

7 Aug 2026, 13:35 UTC≈2,450 views2 reactionsread 9 August 2026
File

每日音乐🌟 #music 画一个姑娘陪着我~

2

7 Aug 2026, 12:59 UTC≈2,370 views8 reactionsread 9 August 2026
Photo

✅想真正搞懂 Agent,而不是只会和 AI 聊天? 🏷标签:#ai #学习 🟢米羊学 AI:完全免费的 AI 实战课程 • 从大模型为什么能说话、Prompt 怎么写,一路讲到 Agent、MCP、长期记忆、上下文工程、多 Agent、成本优化、安全防御,甚至直接拆解生产级 Coding Agent。最爽的是它不是满屏枯燥文字,而是塞了大量可交互演示,很多抽象概念点一点、拖一拖就能看懂。整套内容已经做到 136 个知识点、88+ 个交互 Demo,从会用 AI真正进阶到会做 AI 产品、会搭 Agent 🌐官方网站 📖项目地址 😌TG小树屋 @xiaoshuwu

👍6❤‍🔥2

Showing the 12 most recent of 45 posts we hold for @xiaoshuwu. 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 — 272,889 of 1,345,403entries 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

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.

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.

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

“TG小树屋|资源分享&公益代理” (@xiaoshuwu), 80,852 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xiaoshuwu.

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.