Telegram RegisterThe public register of Telegram

Channel

广州911(认证榜)

@Hzxiaomo

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

40,812subscribers

+918 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001791225985
TypeChannel
Username@Hzxiaomo
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Hzxiaomo

Growth

39,89440,81240,3537 August 2026 — 39,894 subscribers8 August 2026 — 39,962 subscribers9 August 2026 — 40,017 subscribers10 August 2026 — 40,066 subscribers11 August 2026 — 40,195 subscribers12 August 2026 — 40,349 subscribers13 August 2026 — 40,565 subscribers14 August 2026 — 40,812 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net +918. 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 39,756–40,950 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:3540,812+247
13 Aug 2026, 06:5340,565+216
12 Aug 2026, 04:4240,349+154
11 Aug 2026, 07:2140,195+129
10 Aug 2026, 06:1540,066+49
9 Aug 2026, 05:0440,017+55
8 Aug 2026, 05:5739,962+68
7 Aug 2026, 19:1739,894first reading

Engagement

13 posts held, back to 18 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.92%
avg views ÷ 40,812 subscribers
Avg views / post
2,410
13 posts measured
Reaction rate
0.014%
reactions ÷ views · ER floor
Posts in window
13
of 13 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. It is computed over the 3 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held13 (18 July 202614 August 2026)
Views total31,386
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 12:54 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.

What this channel posts

Video runtime
33s
Average length
8s

Measured directly from 4 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.

Reaction mix

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2100.0%

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 3 of the 13 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 18 July 2026 to 14 August 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.

Recent posts

14 Aug 2026, 08:00 UTC37 viewsread 14 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

13 Aug 2026, 12:00 UTC58 viewsread 14 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

13 Aug 2026, 07:57 UTC635 views1 reactionsread 14 August 2026
Photo

艺名 #小宝贝 位置 #白云区 私聊: @xbaobei6688 频道: @baobei669988 下面评论👇

👍1

12 Aug 2026, 16:00 UTC722 viewsread 14 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

11 Aug 2026, 20:00 UTC124 viewsread 12 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

11 Aug 2026, 00:00 UTC111 viewsread 11 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

10 Aug 2026, 04:00 UTC521 viewsread 10 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

9 Aug 2026, 08:00 UTC68 viewsread 9 August 2026

🔎天河区 🔎白云区 🔎黄埔区 🔎海珠区 🔎番禺区 🔎荔湾区 🔎越秀区 🔎南沙区 🔎增城区 🔎花都区 🔎从化区 🔎外围上门~各类会所 🫂广州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

7 Aug 2026, 11:35 UTC≈2,980 viewsread 14 August 2026
Photo

坐标 : #广州95Spa #会所 #口爆 #真毒龙 #69互舔 #全果 #海珠 #琶洲 #万胜围 #新港东 #御姐 #嫩妹 店名:#海珠高端公寓式95会所 地址:琶洲店 @Ym229yp 双向机器人 @linsb21bot QQ:1637004657 与你:gzym9958 频道:https://t.me/Yuemny #更多详情请直接联系咨询 备注:自备现金最好哦 ⌚️营业时间 中午12:00—凌晨2:00 1️⃣600 手2️⃣ 2️⃣800全裸👄1️⃣手1️⃣ Ps:主打高质量莞式会所服务。严格把控服务质量,老师定制化服务,情绪价值高。欢迎到店体验。

1 Aug 2026, 06:36 UTC≈4,540 viewsread 14 August 2026
Photo

艺名 # MiMi 位置 #广州天河 私聊: @nini6698 频道:https://t.me/gzziyua/3 下面评论👇

29 Jul 2026, 11:13 UTC≈5,820 views0 reactionsread 14 August 2026

✅全国低中高端外围✅ https://t.me/vuvvvvvvvvv

23 Jul 2026, 06:34 UTC≈7,470 views1 reactionsread 14 August 2026
Photo

#广州 番禺区(市桥📍南沙📍南站📍厦窖📍钟村📍南村📍石基📍大学城🖇七家分店顶级项目均有🫠🫠📭🫠🫠🥰🫠🫠🥰 #佛山(禅城📍南海📍桂城📍顺德📍三水📍金沙州📍高明📍九江🖇分店顶级项目均有🫠🫠📭🫠🫠🥰🫠🫠🥰 💌特色优点:番禺区/佛山市顶级莞式,目前重新开业,最新一批顶级团队,技师颜值超级高,技师都是由模特,车模,经过东莞顶级桑拿场的导师专业培训的,服务这方面完全属于顶级,场内各种娱乐设施配套齐全,有丰富的海鲜自助餐,也有独立的房间休息,番禺区/佛山区超级少有的90分钟服务,目前邀请了大量水汇博主过来打卡,打造番禺区顶级天花板95/97会所📃🥰🥰🥰🥰 💕💕带膜舔脚趾 带膜舔脚趾💕💕 全程 #90分钟 时间不到服务不 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 📭📭 94项目价格:📭📭 模特牌:469(70分钟无限次) 📭📭95项目价格:📭📭 超A牌:599元(70分钟一次) 超S牌:699元(70分钟一次) 两次

👍1

Showing the 12 most recent of 13 posts we hold for @Hzxiaomo. 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 — 251,972 of 1,340,412entries 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 7 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“广州911(认证榜)” (@Hzxiaomo), 40,812 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Hzxiaomo.

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.