#Android
❤9

Channel
@xiaoruoli
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
5,781subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001882836542 |
|---|---|
| Type | Channel |
| Username | @xiaoruoli |
| Description | 随缘更新的资源收集频道 模块收集 @RuoliMKSJ |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/xiaoruoli |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 01:30 | 5,781 | no change |
| 11 Aug 2026, 01:17 | 5,781 | first reading |
15 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 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 21 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
80 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 43.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 43.8% | |
| 👍 | 18 | 22.5% | |
| 🎉 | 13 | 16.3% | |
| 🥰 | 13 | 16.3% | |
| 🔥 | 1 | 1.25% |
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 15 of the 15 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 80reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 16 February 2026 to 21 May 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 @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 15 most recent posts we hold for this entry, published 16 February 2026 to 21 May 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.
#Android
❤9
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…
❤8
#Android
👍3❤1🎉1🥰1
内置piko补丁 🔗 > Github #Android #X #Twitter
❤1🥰1
集成影视、漫画、小说、相关资源的工具箱 🔗 > 官网 #Android #简软
❤2
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❤1🎉1
油猴脚本仓库 Greasy Fork|大人的Greasyfork #Tampermonkey
👍3❤2
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
TGNAV - Telegram频道群组导航 收录Telegram上的优质频道、群组、机器人,打造一个高质量Telegram导航。 频道导航|群组导航|Bot导航 #导航 #网站
❤3🥰1
代理图标合集 图标集合 GUI 可视化 Qure|QuanX-icon-rule ios_rule_script|wool_scripts #图标
❤1
Lost One 的手性碳——上传手性碳图片,模型将即时返回手性碳坐标 拒绝虚假的安全感,拒绝毫无意义的服从性测试,一个自动识别原型,帮助非相关背景用户跨越这道知识壁垒
🎉9❤2
🔗 > TG频道
🔥1
Showing the 12 most recent of 15 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.
Citation-graph rank — 710,169 of 1,350,102entries 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.
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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“若璃のチャンネル” (@xiaoruoli), 5,781 subscribers as measured 11 August 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.