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Channel

苹果签名企业签TF上架MDM虚拟信用卡封装

@USDT887699

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

506subscribers

+0 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003376492029
TypeChannel
Username@USDT887699
CreatedBetween 1 November 2025 and 19 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/USDT887699

Growth

5069 Aug 2026, 15:16 — 506 subscribers9 Aug 2026, 21:31 — 506 subscribers9 Aug 2026, 15:169 Aug 2026, 21:31
2 measurements taken within a single day. 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 505–507 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 21:31506no change
9 Aug 2026, 15:16506first reading

Engagement

20 posts held, back to 19 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.494%
avg views ÷ 506 subscribers
Avg views / post
2.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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 5 August 2026
Posts held20 (19 January 20265 August 2026)
Views total5
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 15:16 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.

Recent posts

5 Aug 2026, 15:17 UTCviews —

苹果签名企业签TF上架MDM虚拟信用卡封装 pinned «👑专注于安卓防毒、去毒处理、APP封装打包 ‼️报毒处理、深度解析 👍拒绝反复报毒,专业团队研发技术,为盘总的推广保驾护航💪 🔥针对各种报毒,各机型报毒,风险提示,无法安装应用闪退等问题修复与排查 🔥通过对apk原包的深度解析,进行全方位加固全面混淆,可以对其源码有个全面的保护。防止收录应用特征。 🔰免费测试 安全可靠 售后无忧🔰 ➡️意向请联系: @cs365bot @hhfdscbe»

5 Aug 2026, 15:17 UTC2 viewsread 9 August 2026

👑专注于安卓防毒、去毒处理、APP封装打包 ‼️报毒处理、深度解析 👍拒绝反复报毒,专业团队研发技术,为盘总的推广保驾护航💪 🔥针对各种报毒,各机型报毒,风险提示,无法安装应用闪退等问题修复与排查 🔥通过对apk原包的深度解析,进行全方位加固全面混淆,可以对其源码有个全面的保护。防止收录应用特征。 🔰免费测试 安全可靠 售后无忧🔰 ➡️意向请联系: @cs365bot @hhfdscbe

31 Jul 2026, 11:00 UTCviews —

苹果签名企业签TF上架MDM虚拟信用卡封装 pinned «🍎 苹果签名这边一直都有在做 企业签名、 个人超级签、 TF 都支持, 看项目情况可以帮你 选合适的方案 很多做推广或者测试的, 基本都会用到这几种方式。 如果你那边有直播 空降 TK FB 房卡 手游 资金 钱包 APP ⏬️全天为您服务: @Kf364bot @gxtvb220»

31 Jul 2026, 11:00 UTC3 viewsread 9 August 2026

🍎 苹果签名这边一直都有在做 企业签名、 个人超级签、 TF 都支持, 看项目情况可以帮你 选合适的方案 很多做推广或者测试的, 基本都会用到这几种方式。 如果你那边有直播 空降 TK FB 房卡 手游 资金 钱包 APP ⏬️全天为您服务: @Kf364bot @gxtvb220

1 Jul 2026, 17:16 UTC4 viewsread 9 August 2026

🤝糊涂老板充值🤝 iOS企业签|长期稳定|全球秒下|24小时在线 🍎 要稳定? 真独立证书,掉签秒切! 🌐 要速度? 全球CDN加速,下载快如闪电! 🛡 要安全? 海外域名,防屏蔽,防风控! 📊 要数据? 管理后台,设备/活跃数据一目了然! 💬 要服务? 技术团队24小时在线,随叫随到! 🌈欢迎咨询: @Kf365bot @ltesign011

28 Jun 2026, 07:31 UTC4 viewsread 9 August 2026

#苹果签名 #MDM签 #超级签名 #TF签名 #企业签 💎意向请联系: @cs364bot @Qianmingipa8

9 May 2026, 06:40 UTC8 viewsread 9 August 2026

🔥专注于安卓防毒、去毒处理、APP 封装打包 ⚙️报毒处理、深度解析 ⚙️拒绝反复报毒,专业团队研发技术,为您盘口保驾护航💪 🔥针对各种报毒、支付报毒、风险提示、应用闪退等问题进行修复与排查 👉 具备独到经验与专业手法 🔥通过对 APK 原包进行深度解析,全方位加固与全面混淆,为源码提供强力保护,避免杀软收录应用特征 🔥手动 + 自动双结合防毒方案,更稳定,兼容市面 99.9% 机型 🔥采用全新技术与专业设备,可对 APP 进行实时跟踪检测,随时掌握收录途径并提前预警 💢独家技术 · 稳定高效💢 🎱快快联系我: @cs366bot @duo693

21 Mar 2026, 11:22 UTCviews —

Channel name was changed to «苹果签名企业签TF上架MDM虚拟信用卡封装»

21 Mar 2026, 11:12 UTC12 viewsread 9 August 2026

专业苹果签名|不懂的直接来问就行 👋 🍎 多种签名方案都能搞 企业签 / 超级签 / TF 测试都支持, 按你的使用场景给你配最合适的方案, 不走单一路线,更稳,不容易出问题。 📊 独立后台数据一目了然 ⚡️ CDN 加速,下载快不卡 📈 适合长期跑项目、稳定推广 一句话总结:省心、省事、稳得住 👍 💎合作联系: @Kf364bot @addBBf

20 Mar 2026, 14:39 UTC12 viewsread 9 August 2026

📦 APK报毒?谷歌免杀?任何包都可以处理! ✅ 解决安装报毒问题,让用户放心下载,稳定使用。 💡 让应用少一点提示,多一点信任,这也是我们坚持做防报毒的初衷。 📉 最近市场环境不太理想,愿大家都能坚持住,一起度过难关。 🚀随时对接: @Kf365bot @bkgf66

18 Mar 2026, 09:19 UTC10 viewsread 9 August 2026

🔥 源头 APK 加固 不用复杂操作,也不用懂技术,直接把 APK 给我们就能加固。 ✅ 适配几乎所有机型,正常安装不卡壳。 ✅ 不需要源码,只要你有 APK,我们就能处理。 ✅ 安装率直接提升,用户更容易装、更不容易掉。 ✅ 不报毒、不警告,用着稳稳的。 👉 专业团队,全程靠谱,长期稳定合作都有保障! ⏫️全网招代理: @cs365bot @kf_LTsigntoti

17 Mar 2026, 19:49 UTC8 viewsread 9 August 2026

💥专业APK报毒处理,免杀,防毒,加固,修复,【免费测包】独家技术处理。稳定可靠,诚信服务 ✅全天为您服务: @Kf363bot @Yunyingpai

Showing the 12 most recent of 20 posts we hold for @USDT887699. 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 — 377,914 of 1,478,351entries 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.

Mentions

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.

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

“苹果签名企业签TF上架MDM虚拟信用卡封装” (@USDT887699), 506 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/USDT887699.

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.