Photo, posted without a caption
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Channel
@iparxwy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
41,605subscribers
-106 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001882115286 |
|---|---|
| Type | Channel |
| Username | @iparxwy |
| Description | 苹果破解游戏,破解插件,ipa巨魔资源分享。 交流讨论 @chatrxwy 资源搜索@superss6 商务合作: @iosrxwy_bot |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/iparxwy |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 10 Nov 2026, 22:00 | 41,605 | +7 |
| 9 Nov 2026, 06:09 | 41,598 | -5 |
| 7 Nov 2026, 21:19 | 41,603 | +3 |
| 6 Nov 2026, 17:11 | 41,600 | +5 |
| 5 Nov 2026, 15:16 | 41,595 | +11 |
| 4 Nov 2026, 14:51 | 41,584 | +2 |
| 3 Nov 2026, 17:26 | 41,582 | +10 |
| 2 Nov 2026, 16:29 | 41,572 | +12 |
| 1 Nov 2026, 17:50 | 41,560 | +18 |
| 31 Oct 2026, 18:49 | 41,542 | +17 |
| 30 Oct 2026, 22:17 | 41,525 | +3 |
| 29 Oct 2026, 23:10 | 41,522 | -10 |
| 28 Oct 2026, 20:48 | 41,532 | +2 |
| 26 Oct 2026, 18:47 | 41,530 | -4 |
| 25 Oct 2026, 18:59 | 41,534 | +3 |
| 24 Oct 2026, 16:51 | 41,531 | -3 |
| 23 Oct 2026, 16:58 | 41,534 | +2 |
| 22 Oct 2026, 15:56 | 41,532 | +6 |
| 21 Oct 2026, 12:07 | 41,526 | +20 |
| 20 Oct 2026, 08:29 | 41,506 | first reading |
67 posts held, back to 26 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 193 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 27 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 67 (26 June 2026 – 7 November 2026) |
| Views total | 111,320 |
| Reactions total | 120 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 19:24 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 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.
Measured directly from 12 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.
266 reactions across 60 posts, in 9 distinct kinds. The most used accounts for 45.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 122 | 45.9% | |
| 👍 | 120 | 45.1% | |
| 😱 | 15 | 5.64% | |
| 🔥 | 4 | 1.50% | |
| ❤🔥 | 1 | 0.376% | |
| 🌚 | 1 | 0.376% | |
| 👏 | 1 | 0.376% | |
| 🙈 | 1 | 0.376% | |
| 🤔 | 1 | 0.376% |
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 62 of the 67 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 266 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 26 June 2026 to 7 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: 13 of 29 posts held from the last 30 days (44.8%) 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).
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测试哔哩哔哩 9.18.0 无设置项默认去广告、支持保存视频内容包括动漫 影视 播放视频右上角三点按钮菜单或分享按钮菜单内触发下载
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🍎 iOS软件P12 签名证书定制 🍎 无系统限制最高支持iOS 27+ 🏬 无限签名IPA文件 稳定不掉签 🧧 质保期内掉签免费无限次补签 🧾 证书 20 +权限已开启,放心用 🦙 每日限量福利等你抢,含质保 🔥 限时优惠秒出月质保只需13.14
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#Twitch 31.7 去广告 一款修改版的 Twitch iOS 应用,可以屏蔽广告并添加一些实用功能。 屏蔽广告 通过无广告国家代理服务器路由,跳过直播和录制视频 (VOD)之前无法跳过的前置广告。 清除信息流中的广告横幅和提示——品牌推广、“购买 Bits”提示、赞助商广告位以及“关注”选项卡中的“无广告” Turbo 按钮。 它开箱即用,内置代理,或者您可以添加自己的代理(包括按顺序尝试的备份列表)。 如果您已经订阅或拥有 Turbo 服务,则会自动跳过代理——您已经享受无广告体验,并且还能保护您的帐户详细信息。 聊天表情 在聊天中直接显示7TV、BetterTTV和FrankerFaceZ表情,包括全局表情和频道表情。 你也可以发送表情:点击聊天窗口,键盘上方会出现一个7TV工具栏(或者长按 Twitch 的表情按钮)。它会打开一个频道表情列表,其中包含动画表情,你可以搜索这些表情。点击表情即可将其输入到你的…
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🌐 来玩 https://x.com/iOSRXWY/ 💔 专门看福利姬的账号被封了来这个 🤖 AI 、Apple资讯、资源分享,等
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DY778 #抖音插件 1.0-3更新 优化: 两边长按倍速手指移动到底部可以固定倍数 新增: 推荐页直播信息显示:在线人数、开播时长 直播间开播时长悬浮 特别关注:检测某人的获赞、关注、粉丝、喜欢数量、个人简介及可读取的喜欢作品变化,保存动态档案,可选择是否弹窗提醒。 星牌查询:用户主页左上角查询某人在某主播那里的灯牌 操作确认:作品点赞、收藏、关注、评论点赞和评论点踩二次确认 主页与作品数值自定义:主页获赞、互关、关注和粉丝数(可长按对应区域单独修改,可通过下拉刷新恢复);作品点赞、评论、收藏、分享和播放数在插件设置页可单独自定义 聊天火花自定义:会话右上角进入聊天信息页进行单独自定义 列表清理:《我》界面长按对应的推荐、收藏 或 喜欢 标签,可一键清空对应标签下的作品。 https://github.com/jijiang2333/DY778
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iOS 抖音增强插件,提供消息留存、编辑历史、聊天时间标签、福袋助手和播放增强。 依旧仅在39.9.0版本自签测试 已开源: https://github.com/jijiang2333/DY778
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#Lead 2.0 #TG插件 • 新增菜单:搜索、动画,所有功能均已整合 • 支持 Telegram 13.1.1 版本 • 修复:受保护内容的保存与转发功能已恢复,包括频道 • 修复:在近期 Telegram 版本中,防自毁、防自动删除及防编辑功能失效的问题 • 修复:通知显示“您有一条新消息”而非具体文本内容的问题 • 修复:菜单有时需重启应用才能打开的问题 • 修复:铅笔和垃圾桶图标显示在错误消息上,且在反应后发生跳动的问题 • 新增:内置侧载修复功能——启动 Telegram 无需单独的动态库 • 新增:编辑历史记录,并高亮显示变更内容 • 新增:已删除和已编辑消息及个人资料变更日志 • 新增:删除时间精确至秒 • 新增:消息删除时显示横幅(可关闭) • 新增:幽灵模式下的回复已读状态 • 新增:保持语音消息未播放状态 • 新增:转发时不显示作者 • 新增:保存已删除的故事 • 新增:屏蔽代理赞助商频道 • 新增:…
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Repo Manager 1.4.4 软件介绍 Repo Manager 一款iOS 越狱软件源管理工具,专为使用 GitHub搭建 APT 软件源的用户设计。 无需电脑和复杂命令,即可直接在 iPhone 上创建、维护和发布自己的越狱软件源。 主要功能 • 一键创建越狱源 • 自定义源图标 • 多仓库管理 • 批量上传插件 • 从其他源批量导入 • 插件更新与删除 • 插件信息展示 • 自动生成软件源索引 • 主题切换 安全设计 GitHub Token 仅保存在当前设备的 iOS Keychain 中。 应用支持 Fine-grained Token,并建议只授予目标仓库所需的最小权限。 #github #软件源 #投稿
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📱 Dylix:把 iPhone 变成插件开发工作台 • 写代码,和 AI 协作,在本机编译成真——出 dylib / deb • 内嵌 Clang / LLD / Logos;编译不必越狱,也无需连电脑 • 双 SDK 16.4 / 26.0,默认 16.4,最低 iOS 15 • 项目编辑 + Git(GitHub / Gitee)+ 头文件与崩溃分析 🐱 开源地址: https://github.com/yangokok886/dylix 🌐 官网地址: https://ouono.cn 🏷 #开源 #越狱 #插件开发 #Dylix
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红果净化 2.1.0 更新日志 - 新增兼容红果漫剧 app(v7.4.1) - 修复超级清屏出现色差分界线的问题 - 兼容部分插件入口与原生消息按钮重叠的问题 旧版本 app 可能存在兼容问题不再适配,请更新至最新版 app 使用。 地址: https://hongguo.goforit.si/ #红果短剧 #插件 @iparxwy
Showing the 12 most recent of 67 posts we hold for @iparxwy. 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.
@iparxwy edited 4 posts 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.
We recorded 9 posts on @iparxwy 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“iOS破解|TrollFools插件” (@iparxwy), 41,605 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/iparxwy.
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.