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Channel

TG云控|ZK云控总官方频道

@zkyk001

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

9,936subscribers

-47 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1004451837422
TypeChannel
Username@zkyk001
Created5 August 2026measured — dated from the channel’s first post
First recorded10 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/zkyk001

Growth

9,93610,07510,005.510 August 2026 — 9,983 subscribers11 August 2026 — 10,039 subscribers11 August 2026 — 10,075 subscribers12 August 2026 — 9,983 subscribers16 August 2026 — 9,936 subscribers10 August 202616 August 2026
5 measurements spanning 6 days, net -47. 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 9,915–10,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 17:079,936-47
12 Aug 2026, 18:249,983-92
11 Aug 2026, 21:2610,075+36
11 Aug 2026, 00:5210,039+56
10 Aug 2026, 07:009,983first reading

Engagement

10 posts held, back to 5 August 2026the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.747%
avg views ÷ 9,936 subscribers
Avg views / post
74.2
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 10 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 8 August 2026
Posts held10 (5 August 20268 August 2026)
Views total371
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 19:39 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, 19:50 UTCviews —

TG云控|ZK云控总官方频道 pinned «TG云控/TG协议号 ❤‍🔥Tg打粉云控无视加粉风控,全市场独家,现全球地区,日本,韩国,美国,欧洲,可上量。 🔥免设备登录,批量上号,支持批量修改资料 🔥支持接粉,打粉,批量群发,卡拉群 🔥免费计数器,包翻译,包IP 🔥出售TG协议号,非捆绑销售,正式控可自用号 频道:https://t.me/zkyk001»

5 Aug 2026, 19:49 UTC98 viewsread 15 August 2026

TG云控/TG协议号 ❤‍🔥Tg打粉云控无视加粉风控,全市场独家,现全球地区,日本,韩国,美国,欧洲,可上量。 🔥免设备登录,批量上号,支持批量修改资料 🔥支持接粉,打粉,批量群发,卡拉群 🔥免费计数器,包翻译,包IP 🔥出售TG协议号,非捆绑销售,正式控可自用号 频道:https://t.me/zkyk001

5 Aug 2026, 19:49 UTC89 viewsread 15 August 2026
Photo

智控产品优势 高效率 一人即可管理上百台设备,效率提升数十倍。 低成本 减少人工操作,降低团队运营成本。 稳定运行 采用任务队列机制,支持7×24小时持续运行。 数据安全 设备数据隔离,权限分级管理。 操作简单 可视化后台,无需专业技术即可快速上手。

5 Aug 2026, 19:48 UTC67 viewsread 15 August 2026
Photo

🚀 多账号管理太麻烦? 智控云端管理系统,帮你轻松搞定。 🔹 批量登录账号 🔹 独立代理配置 🔹 云端实时同步 🔹 集中后台管理 🔹 7×24小时稳定运行 一个平台管理所有账号,效率提升看得见。

5 Aug 2026, 19:47 UTC62 viewsread 15 August 2026
Photo

🚀 智控推荐计划正式开启 推荐好友使用智控,即可获得专属奖励。 💰 高额佣金 📈 长期收益 👥 无限邀请 🔍 数据透明 业务咨询: @jiawen6667

5 Aug 2026, 19:46 UTC55 viewsread 15 August 2026

智控 TG 云控平台介绍 关于智控 智控(ZHIKONG)是一款专注于 Telegram 生态运营与多账号管理的智能化云控平台,致力于为跨境营销、社群运营、流量推广、客服协同以及项目管理提供高效稳定的解决方案。 平台采用云端架构与智能分布式管理系统,支持多设备、多账号、多任务同步运行,可广泛应用于海外社媒营销、Telegram 社群运营、客户维护、内容分发及数据推广等场景。 ⸻ 核心功能 多账号云端管理 支持 Telegram 多账号统一管理: * 批量登录账号 * 多设备同步在线 * 会话实时同步 * 账号分类管理 * 独立代理配置 * 批量上下线控制 * 风控状态检测 ⸻ 智能消息系统 平台支持高效消息分发与互动: * 批量发送消息 * 定时发送任务 * 私聊互动 * 自动回复 * 多语言话术管理 * 消息模板系统 * 图片/语音/视频发送 * 群发任务控制 ⸻ 社群运营功能 适用于 Teleg

Showing the 10 most recent of 10 posts we hold for @zkyk001. 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 — 925,645 of 1,480,975entries 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 1 registered channel — 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.

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

“TG云控|ZK云控总官方频道” (@zkyk001), 9,936 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/zkyk001.

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.