#频道推荐 #互推 ● 白嫖分享社 ● 某不知名藏馆 网红 Cosplay 二次元 写真 ● 重生之我在 TG做内置代理 ● 🍥多多纯净软件分享🍥 ● Magazine|期刊杂志|考公|中文 | 网课分享 ● 安卓软件游戏破解资源分享 ● 推个鸡场|优质小而美机场推荐 ● B站充电视频分享 参加互推: @pindaohutui123bot
❤1👍1

Channel
@yydsys
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
8,663subscribers
+6,543 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001945759377 |
|---|---|
| Type | Channel |
| Username | @yydsys |
| Description | 软件资源分享及评测,点击加入群聊:https://t.me/iduosou 私聊和广告合作:https://t.me/yydsys_bot |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/yydsys |
Software piracy — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 12 Nov 2026, 03:46 | 8,663 | +581 |
| 8 Nov 2026, 01:40 | 8,082 | +399 |
| 5 Nov 2026, 03:09 | 7,683 | +411 |
| 2 Nov 2026, 00:58 | 7,272 | +394 |
| 29 Oct 2026, 22:48 | 6,878 | +369 |
| 27 Oct 2026, 04:20 | 6,509 | +359 |
| 24 Oct 2026, 09:28 | 6,150 | +398 |
| 20 Oct 2026, 23:41 | 5,752 | +321 |
| 18 Oct 2026, 08:16 | 5,431 | +454 |
| 15 Oct 2026, 13:59 | 4,977 | +452 |
| 13 Oct 2026, 00:31 | 4,525 | +748 |
| 6 Oct 2026, 09:02 | 3,777 | +808 |
| 29 Sept 2026, 01:22 | 2,969 | +437 |
| 19 Sept 2026, 02:39 | 2,532 | +64 |
| 15 Sept 2026, 03:41 | 2,468 | +25 |
| 11 Sept 2026, 10:01 | 2,443 | +96 |
| 6 Sept 2026, 08:41 | 2,347 | +30 |
| 2 Sept 2026, 07:54 | 2,317 | +17 |
| 30 Aug 2026, 10:13 | 2,300 | +11 |
| 27 Aug 2026, 19:24 | 2,289 | first reading |
192 posts held, back to 3 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 23 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. It is computed over the 130 of 183 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 192 (3 August 2026 – 13 November 2026) |
| Views total | 158,668 |
| Reactions total | 281 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 13:50 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.
Lifetime counters from Telegram’s own channel header, read 13 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.
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.
282 reactions across 122 posts, in 6 distinct kinds. The most used accounts for 64.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 182 | 64.5% | |
| ❤ | 95 | 33.7% | |
| 👎 | 2 | 0.709% | |
| 👏 | 1 | 0.355% | |
| 🤔 | 1 | 0.355% | |
| 🥰 | 1 | 0.355% |
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 131 of the 192 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 282 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 192 most recent posts we hold, published 3 August 2026 to 13 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’s own ‘edited’ marker: 32 of 184 posts held from the last 30 days (17.4%) 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).
#频道推荐 #互推 ● 白嫖分享社 ● 某不知名藏馆 网红 Cosplay 二次元 写真 ● 重生之我在 TG做内置代理 ● 🍥多多纯净软件分享🍥 ● Magazine|期刊杂志|考公|中文 | 网课分享 ● 安卓软件游戏破解资源分享 ● 推个鸡场|优质小而美机场推荐 ● B站充电视频分享 参加互推: @pindaohutui123bot
❤1👍1
🌈流浪壳_v5.5.6-20261113版 ♻️更新内容 1,历史删除添加一键删除全部记录按钮,长按海报触发删除模式后显示 2,预载滑块条样式更改为本壳子样式 3,适配tcl灵控桌面图标和安卓tv横版图标 4,修复播放失败自动换线路后没有自动播放的问题 5,改造收藏界面带追更分类,内容按更新顺序排布追更剧集,并显示即将更新的日期和剧集集数,想添加追更的剧直接点收藏就行 6,删除导航栏历史按钮 7,优化自动匹配季度标识(后缀1,2,3这种) 8,完善手动匹配tmdb的扫码手机输入 9,修改软硬解按钮为解码按钮,点击后弹出面板切换软硬解和解码设置的音频直通等按钮 📢 频道:@yydsys 防失联 @ucquark
👍1
🌈ChiTV 苹果端下载 https://chitv.fit/ 安卓端下载 https://chitv.fit/android Github项目地址: https://github.com/mutse/chitv-app 📢 频道:@yydsys 防失联 @ucquark
https://t.me/DeepSeekNB_bot?start=ref_AeAEJVVotBDnZcUrIxK29Q DeepSeek官方自营破甲模型 全网最强 全网效果最好 现在点击就免费使用
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5590138426
🌈真果鉴批量添加站源视频教程 📢 频道:@yydsys 防失联 @ucquark
🌈DsPlayer_v1.1.1版 道长壳Dsplayer 视频教程:https://cdn.videy.co/jh262Hfw1.mp4 📢 频道:@yydsys 防失联 @ucquark
🌈真果鉴_v1.6.0+123版_全剧视界改版 ♻️更新内容 增加红果听书 站源外置 黄果 AI 取流修复 设置 › 弹幕新增「显示弹幕」总开关。 直播顺序:斗鱼→ 哔哩哔哩 → 虎牙 → 秀果直播 竖屏短剧播放时增加沉浸、3秒隐藏和淡出效果 x86_64位安装包很少有人使用,不再提供 默认仅显示部分站源,全部显示设置方法:主界面右上角地球标志[搜索框左边]—管理站源—开启豆果剧果野果之类的站源即可。 🧿友情提示: 点击【直达文件】后会直接跳转到本频道聊天群,如果选择加入群组,一定要滑动到聊天框最下方进行入群验证,默认一分钟时限,超时会被封禁,下次将无法访问聊天群。 ⚡️下载地址:👉仅群内提供👈 📢 频道:@yydsys 防失联 @ucquark
🌈揽星影视_v5.6.98版 ♻️软件介绍 揽星影视在 FongMi/TV 上游内核基础上做了面向手机端的体验改造,主要差异点: 毛玻璃 UI:播放页、设置页、弹窗等大量采用毛玻璃(Blur)风格。 自定义底部导航 Tab:首页底部导航可自定义排序与显隐。 画中画(PiP):手机端支持播放画中画。 直播增强:直播 EPG 节目单、Catchup 回看与时移。 投屏:DLNA 发送端(手机)自研轻量 SSDP 发现 + SOAP 控制栈;接收端沿用 jupnp。 多仓 / 多源聚合:仓库管理支持多源聚合与线路合集双模式,一键切换、刷新、复制、删除。 首页推荐位:对接豆瓣榜单、站点推荐、电视榜等 home 数据。 音效模式:影院 / 重低音 / 3D 环绕 / HiFi / 人声等多档 EQ 预设。 Bugly 上报与基于 GitHub Releases 的在线更新检查(用版本号判断新版本,逻辑与揽星TV一致)。 ⚡️下载地址:…
❤1
看里番不如玩里番!来探索属于自己的里番世界吧!——春水live 将那些或清纯或傲娇的角色,都变成只会哦齁齁的母猪吧!! 🌌 拨动命运的琴弦 🌌 在这里,每一个角色都为你而生。你可以温柔地诱导,也可以霸道地重塑。想象一下:那位平日里冷静理智的财阀掌权者,在你的指令下,不得不穿着透明的蕾丝内衣主持跨国会议,在桌底被震动器折磨得满脸潮红、娇喘连连;又或者让那位圣洁不可侵犯的帝国圣女,在神殿的祭坛上,当着信徒的面,一边发出羞耻的“哦齁齁”崩坏笑声,一边主动分开双腿,展示那早已淫水泛滥的隐秘圣地。 🔥 XP熔炉:丰富的幻想体验 🔥 我们的内容涵盖了人类想象力的所有边界。你可以沉溺于催眠洗脑的深度控制,看着纯情少女在你的响指声中瞬间沦为只知渴求精液的肉偶;可以体验异种触手的湿冷缠绕,在魔法森林的深处感受粘稠粘液覆盖全身的战栗;更别提恶堕调教、公共露出、常识修改、家教沦陷……每一寸肌肤的升温,每一滴体液的溢出,每一声灵魂破碎的啼哭,都将以…
🥰1
🌈魔影_5.6.0_202611081212版 ♻️软件介绍 传说中的魔影,现在到处都在传,支持导入海阔小程序,全盘自动扫描导入js、json、py、html等! 📢 频道:@yydsys 防失联 @ucquark
👍4
🌈HGhubx短剧 ♻️说明 是继HGhub另一个接手版,多端支持。 📢 频道:@yydsys 防失联 @ucquark
Showing the 12 most recent of 192 posts we hold for @yydsys. 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.
We recorded 1 post on @yydsys as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
Named by 4 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.
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.
@yydsys named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“🍥多多纯净软件分享🍥” (@yydsys), 8,663 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/yydsys.
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.