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Channel

若璃のチャンネル

@xiaoruoli

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

5,813subscribers

+32 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1001882836542
TypeChannel
Username@xiaoruoli
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live9 November 2026
Measurements held21
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/xiaoruoli

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

5,7815,8385,809.511 August 2026 — 5,781 subscribers11 August 2026 — 5,781 subscribers18 August 2026 — 5,782 subscribers20 August 2026 — 5,788 subscribers24 August 2026 — 5,795 subscribers27 August 2026 — 5,799 subscribers30 August 2026 — 5,803 subscribers1 September 2026 — 5,807 subscribers6 September 2026 — 5,822 subscribers11 September 2026 — 5,826 subscribers26 September 2026 — 5,838 subscribers5 October 2026 — 5,836 subscribers11 October 2026 — 5,835 subscribers14 October 2026 — 5,832 subscribers17 October 2026 — 5,829 subscribers20 October 2026 — 5,827 subscribers27 October 2026 — 5,820 subscribers30 October 2026 — 5,817 subscribers2 November 2026 — 5,811 subscribers6 November 2026 — 5,810 subscribers9 November 2026 — 5,813 subscribers5,81311 August 20269 November 2026
21 measurements spanning 91 days, net +32. 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 5,772–5,847 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)SubscribersChange
9 Nov 2026, 15:555,813+3
6 Nov 2026, 02:475,810-1
2 Nov 2026, 21:405,811-6
30 Oct 2026, 15:395,817-3
27 Oct 2026, 05:195,820-7
20 Oct 2026, 16:465,827-2
17 Oct 2026, 11:485,829-3
14 Oct 2026, 13:205,832-3
11 Oct 2026, 10:025,835-1
5 Oct 2026, 05:415,836-2
26 Sept 2026, 13:595,838+12
11 Sept 2026, 14:215,826+4
6 Sept 2026, 12:405,822+15
1 Sept 2026, 20:355,807+4
30 Aug 2026, 06:365,803+4
27 Aug 2026, 15:135,799+4
24 Aug 2026, 20:575,795+7
20 Aug 2026, 20:325,788+6
18 Aug 2026, 02:225,782+1
11 Aug 2026, 01:305,781first reading

Engagement

19 posts held, back to 16 February 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 3 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.4%
avg views ÷ 5,813 subscribers
Avg views / post
660
1 post measured
Reaction rate
0.909%
reactions ÷ views · ER floor
Posts in window
1
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 October 2026
Posts held19 (16 February 2026 – 31 October 2026)
Views total660
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 18:53 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

Video runtime
19s
Average length
19s

Measured directly from 1 video 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.

Reaction mix

137 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 35.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4935.8%
👍3727.0%
🥰3727.0%
🎉139.49%
🔥10.73%

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 19 of the 19 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 137 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 16 February 2026 to 31 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @xiaoruoli. 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 19 most recent posts we hold for this entry, published 16 February 2026 to 31 October 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 1 post 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).

31 Oct 2026, 12:54 UTC660 views6 reactionsread 4 November 2026
Photo

MyLike —— 把喜欢留下来,让回看更简单 一个整理、搜索和回看抖音喜欢与收藏的 Windows 桌面应用。 功能特性 喜欢与收藏:增量采集、断点续采、收藏夹同步与按夹浏览;播放中收藏、多选加入收藏夹及新建收藏夹。 同步整理:单条或批量取消抖音点赞、收藏,平台确认后同步更新本地记录。 随手找到:标题 / 作者搜索,类型与年月筛选,触底自动加载,长列表流畅浏览。 沉浸回看:顺序 / 洗牌、断点续播、视频 / 图集 / 实况原声混音、倍速、全屏、清屏、播放列表与自定义快捷键。 边采边看:后台采集或取消点赞、收藏时继续播放,任务进度和异常集中管理。 本地管理:多账号隔离、账号改名与删除、批量整理、喜欢元数据导入导出与关键操作自动备份。 Github - Windows Github - macOS 社区维护版 #Windows #MyLike #抖音

👍6

3 Sept 2026, 15:38 UTC≈3,430 views22 reactionsread 4 November 2026
Photo

群友 @cenyiyi 自荐的开源项目: ZenConverter —— 纯净安卓端本地综合格式转换工具 功能列表: •视频:MP4、MKV、MOV、GIF互转;提取音频为M4A、MP3、WAV、FLAC、WMA;支持基础视频参数调整、体积压缩以及针对音频的淡出淡入、降噪、倒放、音量调节、回音效果,和对视频画面的淡入淡出、倒放、镜像、旋转、画幅裁切适配、自由裁检分割等 •音频:MP3、M4A、WAV、FLAC、WMA 互转,可调节参数同上 •图片:JPG、PNG、JFIF、WEBP、ICO互转以及转为PDF(支持多张合并成一个pdf)、本地ai超分 •文档:PPTX、DOCX、XLSX转为PDF、TXT、MD;PDF转为PNG、JPG、WEBP、TXT、MD;PDF加密、解密 •字体:支持TTF / OTF ↔️ WOFF2 / WOFF 的双向互转 •字幕/歌词:SRT、VTT、LRC、ASS互转 应用基于 Kotlin …

🥰13❤5👍4

3 Sept 2026, 14:31 UTC≈2,770 views9 reactionsread 4 November 2026
Photo

软鉴 SoftMemo —— AI 整理的软件知识库 收录优质数字工具,提供清晰介绍、真实评价与使用场景,帮助你更高效地发现、选择和使用合适的工具。 #导航站

👍8🥰1

3 Sept 2026, 14:31 UTC≈2,640 views10 reactionsread 4 November 2026
Photo

官网下 —— 可信软件,安心下载 第三方软件下载导航,帮助用户识别软件厂商并前往官方 HTTPS 来源。 #导航站

🥰9👍1

18 Apr 2026, 10:17 UTC≈7,850 views10 reactionsread 4 November 2026
File

Photoo 是一款安卓原生的图片综合管理软件,致力于帮助用户整理图片,回忆时光,并且赋予珍贵照片以新生机。 滑动卡片整理 和刷短视频一样有趣。卡片顺序默认随机,你永远不知道下一张是什么——可能是上周拍的,也可能是一年前拍的。保持好奇,也就有了整理的动力。 左滑删除,右滑收藏,上滑保留 卡片底部显示拍摄时间、地点等 EXIF 信息,还有端侧 AI 识别的拍摄内容 一组 16 张(可在设置调整为 10-30 张),把成千上万张照片变成轻松的"微任务" 相册分析 快速生成独属于你的摄影画像。了解自己的拍摄习惯,记录每一次按下的快门。 智能识别 相似照片:自动找出重复或极其相似的照片 低质量图片:智能识别模糊、暗光、过曝等废片 视频/图片压缩:画质几乎不变,文件轻松小一半 后悔药 支持撤销操作 删除前可调整,误删可能性降至最低 隐私至上 这是 photoo 的底线,也是和其他产品最大的区别。 相册是绝对隐私的存在,因此 photoo…

❤10

10 Mar 2026, 09:08 UTC≈7,190 views5 reactionsread 4 November 2026
File

内置piko补丁 🔗 > Github #Android #X #Twitter

❤3🥰2

10 Mar 2026, 09:08 UTC≈6,220 views2 reactionsread 4 November 2026
File

集成影视、漫画、小说、相关资源的工具箱 🔗 > 官网 #Android #简软

❤2

10 Mar 2026, 09:08 UTC≈5,850 views5 reactionsread 4 November 2026
File

多媒体处理工具 功能列表 视频相关 - 音频提取:从视频中提取无损音频 - 裁剪:截取所需视频片段 - 背景声音:静音、替换或添加背景音 - 合并:合并多个视频文件 - 转GIF:将视频转换为GIF动画 - 参数调节、压缩:自定义视频参数、压缩视频 - 格式转换:所有主流视频格式相互转换 - 倒放:自定义片段倒放 - 解帧:将视频转换为单帧图片序列 - 封面替换:替换视频封面图片 - 变速:多段区间变速 - AI修复:使用AI模型提升视频质量和分辨率 - AI前景、背景:视频前景、背景AI处理 音频相关 - 倒放:多选音频,截取片段倒放 - 格式转换:所有主流音频格式相互转换 - 裁剪、淡出淡入:裁剪、淡出淡入组合处理音频所需片段 - 变速变调:支持音频完整或多段区间变速变调 - 采样规格转换:修改采样率与比特深度 - 混音、合并:混合多个音频文件 - 立体环绕处理:单声道、立体声、5.1环绕、7.1环绕等 - 元数据修改:编…

❤2🥰2🎉1

6 Mar 2026, 03:57 UTC≈5,200 views5 reactionsread 4 November 2026

油猴脚本仓库 Greasy Fork|大人的Greasyfork #Tampermonkey

👍3❤2

6 Mar 2026, 03:57 UTC≈6,030 views1 reactionsread 4 November 2026

TGwiki - Telegram知识库 TGwiki (Telegram Wiki) - Telegram知识库,由TGNAV打造的高质量Telegram知识库,帮助用户更科学地使用Telegram。 TGwiki小程序版 #知识库

❤1

Showing the 12 most recent of 19 posts we hold for @xiaoruoli. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@xiaoruoli edited 1 post 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.

First edit seen
4 November 2026
Most recent edit
4 November 2026

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

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.

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.

Nagram Tips
@NagramTips · 52,429
Telegram ranks this channel #11 of 49 here — alongside 48 others — read 30 August 2026
FlClash Channel
@FlClash · 54,591
Telegram ranks this channel #20 of 53 here — alongside 52 others — read 28 August 2026
公益 机场 免费 节点 订阅 分享
@go4sharing · 59,852
Telegram ranks this channel #38 of 40 here — alongside 39 others — read 29 August 2026

This channel appears in 3 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.

“若璃のチャンネル” (@xiaoruoli), 5,813 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/xiaoruoli.

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.