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Channel

南昌公开榜

@HSziyuan88

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

160,243subscribers

+43,697 since we began measuring on 28 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002037284929
TypeChannel
Username@HSziyuan88
Description南昌吃喝玩乐、出击修车群组 南昌车友汇主群: @nanchangcarfriend 公开榜: @HSziyuan88 最新测评: @nanchangcarword 花魁榜: @NChkbang 车友汇重要通知聚集地: @HSziyuan8 解禁、合作、上榜联系: @Mrwangs_bot 全套外围汉森: @hansen_168
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live3 November 2026
Measurements held38
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/HSziyuan88

Topic

Other / unclassifiable — 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 65% 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.

Growth

116,546160,243138,394.528 August 2026 — 116,546 subscribers28 August 2026 — 116,546 subscribers30 August 2026 — 117,084 subscribers31 August 2026 — 117,606 subscribers31 August 2026 — 117,939 subscribers1 September 2026 — 118,517 subscribers2 September 2026 — 118,937 subscribers4 September 2026 — 119,679 subscribers7 September 2026 — 121,101 subscribers10 September 2026 — 123,811 subscribers12 September 2026 — 124,680 subscribers14 September 2026 — 125,731 subscribers15 September 2026 — 127,054 subscribers17 September 2026 — 128,657 subscribers29 September 2026 — 136,450 subscribers5 October 2026 — 141,979 subscribers9 October 2026 — 144,818 subscribers13 October 2026 — 148,179 subscribers14 October 2026 — 149,049 subscribers15 October 2026 — 149,434 subscribers16 October 2026 — 150,199 subscribers18 October 2026 — 150,866 subscribers19 October 2026 — 151,689 subscribers20 October 2026 — 152,312 subscribers21 October 2026 — 152,811 subscribers22 October 2026 — 153,164 subscribers23 October 2026 — 153,795 subscribers24 October 2026 — 154,223 subscribers25 October 2026 — 154,760 subscribers26 October 2026 — 155,303 subscribers27 October 2026 — 155,753 subscribers28 October 2026 — 156,708 subscribers29 October 2026 — 157,183 subscribers30 October 2026 — 157,566 subscribers31 October 2026 — 158,225 subscribers1 November 2026 — 158,701 subscribers2 November 2026 — 159,576 subscribers3 November 2026 — 160,243 subscribers28 August 20263 November 2026
38 measurements spanning 66 days, net +43,697. 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 109,991–166,798 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
3 Nov 2026, 06:47160,243+667
2 Nov 2026, 07:09159,576+875
1 Nov 2026, 08:36158,701+476
31 Oct 2026, 10:18158,225+659
30 Oct 2026, 09:39157,566+383
29 Oct 2026, 09:49157,183+475
28 Oct 2026, 11:26156,708+955
27 Oct 2026, 08:04155,753+450
26 Oct 2026, 08:18155,303+543
25 Oct 2026, 05:20154,760+537
24 Oct 2026, 07:54154,223+428
23 Oct 2026, 11:14153,795+631
22 Oct 2026, 10:02153,164+353
21 Oct 2026, 02:38152,811+499
20 Oct 2026, 01:09152,312+623
19 Oct 2026, 01:37151,689+823
18 Oct 2026, 00:00150,866+667
16 Oct 2026, 21:06150,199+765
15 Oct 2026, 19:19149,434+385
14 Oct 2026, 22:45149,049first reading

Engagement

172 posts held, back to 18 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.62%
avg views ÷ 160,243 subscribers
Avg views / post
2,600
104 posts measured
Reaction rate
0.079%
reactions ÷ views · ER floor
Posts in window
104
of 172 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 81 of 104 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 3 November 2026
Posts held172 (18 August 2026 – 3 November 2026)
Views total270,047
Reactions total179
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 17:16 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.

What this channel posts

Photos
285
Videos
102
Links
94

Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
9m 42s
Average length
11s

Measured directly from 52 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

446 reactions across 127 posts, in 6 distinct kinds. The most used accounts for 94.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤42394.8%
👍112.47%
🏆51.12%
😍40.897%
👌20.448%
🔥10.224%

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 142 of the 172 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 446 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 172 most recent posts we hold, published 18 August 2026 to 3 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.

Recent posts

3 Nov 2026, 12:28 UTC≈1,110 views2 reactionsread 3 November 2026
Photo

小童老师的半价pp工兵竞拍开始了: 本次竞拍口令修改成(老师名称)工兵竞拍 输入“小童竞拍” 或者“工兵竞拍”都可触发 本次工兵名额3个,和以往的竞拍方式不同: 工兵竞拍价高者得,例如有3个工兵那就是竞拍前三获得 若只有一个工兵那就是价格最高者获得名额 工兵规则对应在告示栏链接https://t.me/HSziyuan8/467 小童老师资料对应在公开榜链接https://t.me/HSziyuan88/3582?single 竞拍结束时间:4号17:00

❤2

3 Nov 2026, 12:05 UTC≈1,230 views1 reactionsread 3 November 2026
Photo

🙋🏻‍♀️ 花名 小童(只上门) 水费:1300pp 资料:身高165cm 体重43kg 罩杯B 年龄18岁 服务:#丝袜诱惑 #69 #舌吻 #情趣诱惑 #制服诱惑 #鸳鸯浴 #上门 #有套爱爱 #调情 #无套口 位置:#全南昌 以下是狼友给老师的印象: 点击此处给老师添加印象 📊 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ☎️ 联系方式 电报:@xiaotongya18 通过修车机器人联系老师:点击联系小童 👠 老师标签 #颜值系 #嫩妹 ✳️ Powered by @nanchangcarfriend

❤1

2 Nov 2026, 11:04 UTC≈3,310 views3 reactionsread 3 November 2026
Photo

由于汤圆老师有骗定嫌疑:现在处理结果是汤圆老师交了三千押金在老王这,狼友们可以放心出击。 如遇榜上老师骗定可以联系老王进行赔付 老王联系方式:@Mrwang_01

❤3

2 Nov 2026, 08:44 UTC≈2,530 views1 reactionsread 3 November 2026
Photo

茜茜老师的半价工兵竞拍开始了: 本次竞拍口令修改成(老师名称)工兵竞拍 输入“茜茜竞拍” 或者“工兵竞拍”都可触发 本次工兵名额3个,和以往的竞拍方式不同: 工兵竞拍价高者得,例如有3个工兵那就是竞拍前三获得 若只有一个工兵那就是价格最高者获得名额 工兵规则对应在告示栏链接https://t.me/HSziyuan8/467 茜茜老师资料对应在公开榜链接https://t.me/HSziyuan88/3577?single 竞拍结束时间:3号13:00

❤1

2 Nov 2026, 08:15 UTC≈3,240 views1 reactionsread 3 November 2026
Photo

🙋🏻‍♀️ 花名 茜茜 水费:500p 800pp 资料:身高163cm 体重53kg 罩杯C 年龄26岁 服务:#过水吸皮 #69 #毒龙 #水中箫 #臀推 #鸳鸯浴 #胸推 #有套爱爱 #指划 #调情 #口爆 #无套口 #漫游 位置:#西湖 以下是狼友给老师的印象: 点击此处给老师添加印象 📊 📊 1条车评,综合评分8.7 好评 100% |人照 8.5 |服务 8.9 中评 0% |颜值 8.4 |态度 8.99 差评 0% |身材 8.3 |环境 9.13 ☎️ 联系方式 点击此处查看老师联系方式 通过修车机器人联系老师:点击联系茜茜 👠 老师标签 #服务系 ✳️ Powered by @nanchangcarfriend

❤1

2 Nov 2026, 07:03 UTC≈2,300 views1 reactionsread 3 November 2026
Photo

小玉之前的号登不上去,狼友不要上当受骗,95找这个号安排 @Ncayu95

❤1

2 Nov 2026, 06:53 UTC≈2,900 views0 reactionsread 3 November 2026

✅车友汇已加入修车联盟放心修车✅ 以下为98以外老师或广告商: 小龙商务摸摸唱 月月个人抓龙筋 雯雯个人抓龙筋 南南龙筋柔式SPA 龙舒荟抓龙筋店 梦瑶个人抓龙筋 南昌92会所阿秋 南昌92会所小晨 寻芳阁裸聊 南昌92会所阿九 性福大药房 南昌92会所海棠丝 南昌沐沐私影-熊大 车友汇唯一95口爆中介小玉 车友汇唯一全套外围中介汉森

2 Nov 2026, 06:50 UTC≈3,080 views1 reactionsread 3 November 2026

✅车友汇已加入修车联盟放心修车✅ 点击老师名字跳转至老师资料 青山湖: 艾琳 林舒 小湫 苹果 冉冉 果果 依依 萌萌 甜甜 雯雯 兮兮 安琪 沫沫 美琪 萱萱 小鱼 巧克力 小甜妹 小可爱 杨玉环 小橙子 小妈妈 水多多 青云谱: 小羽(花魁) 安安 妖妖 小雪 念念(花魁) 柒柒 晓晓 水娃 公主(花魁) 贝贝 琪琪 小慧 豆豆 柠檬 CC 优优 惠子 栀琪 西湖: 南雪 可可 南音 清欢 牛牛 波姐 苏沐 幸幸 红红 悠悠 秋雅 紫凝 猪猪 允儿 格格 佳佳 茜茜 林婉儿 秋词(花魁) 小蛋糕 (花魁) 东湖: 芊芊 小童 新建县: 佳宝 红谷滩: 瑶瑶 可儿(花魁) 汤圆 小不点 …

❤1

1 Nov 2026, 07:44 UTC≈2,350 views2 reactionsread 2 November 2026
Photo

发布一则重要通告: 经狼友举报且确认,汤圆老师存在骗定金嫌疑 我们暂时给予下榜处理,若有狼友被骗定金可找老王赔付 另外我们会深度了解该事情发生时间及情况 我们郑重宣告:所有非上门老师收取定金都不可信 哪怕是上门老师收定金也不可超过200 若有在群内被骗联系老王负责到底 有被骗联系老王: @Mrwangs_bot

❤2

31 Oct 2026, 15:18 UTC≈4,430 views4 reactionsread 3 November 2026
Photo

🙋🏻‍♀️ 花名 佳宝 水费:600p 1000pp 2000夜 资料:身高170cm 体重55kg 罩杯D 年龄27岁 服务:#毒龙 #舔鲍鱼 #吸蛋蛋 #舔奶头 #过水吸皮 #花式吹箫 #丝袜诱惑 #69 #漫游 #舌滑 #吞蛋 #情趣诱惑 #制服诱惑 #水中箫 #臀推 #鸳鸯浴 #胸推 #乳交 #深喉 #有套爱爱 #指划 #调情 #莞式 #无套口 位置:#新建县 以下是狼友给老师的印象: 点击此处给老师添加印象 📊 📊 127条车评,综合评分9.96 好评 100% |人照 9.97 |服务 9.96 中评 0% |颜值 9.97 |态度 9.98 差评 0% |身材 9.97 |环境 9.9 ☎️ 联系方式 点击此处查看老师联系方式 通过修车机器人联系老师:点击联系佳宝 👠 老师标签 #服务系 ✳️ Powered by @nanchangcarfriend

❤4

30 Oct 2026, 08:53 UTC≈3,750 views2 reactionsread 2 November 2026

✅车友汇已加入修车联盟放心修车✅ 以下为98以外老师或广告商: 小龙商务摸摸唱 月月个人抓龙筋 雯雯个人抓龙筋 南南龙筋柔式SPA 龙舒荟抓龙筋店 梦瑶个人抓龙筋 南昌92会所阿秋 南昌92会所小晨 寻芳阁裸聊 南昌92会所阿九 性福大药房 南昌92会所海棠丝 南昌沐沐私影-熊大 车友汇唯一95口爆中介小玉 车友汇唯一全套外围中介汉森

❤2

30 Oct 2026, 08:52 UTC≈3,550 views1 reactionsread 2 November 2026

✅车友汇已加入修车联盟放心修车✅ 点击老师名字跳转至老师资料 青山湖: 艾琳 林舒 小湫 苹果 冉冉 果果 依依 萌萌 甜甜 雯雯 兮兮 安琪 沫沫 美琪 萱萱 小鱼 巧克力 小甜妹 小可爱 杨玉环 小橙子 小妈妈 水多多 青云谱: 小羽(花魁) 安安 妖妖 小雪 念念(花魁) 柒柒 晓晓 水娃 公主(花魁) 贝贝 琪琪 小慧 豆豆 柠檬 CC 优优 惠子 栀琪 西湖: 南雪 可可 南音 清欢 牛牛 波姐 苏沐 幸幸 红红 悠悠 秋雅 紫凝 猪猪 允儿 格格 佳佳 林婉儿 秋词(花魁) 小蛋糕 (花魁) 东湖: 童颜 芊芊 新建县: 佳宝 红谷滩: 瑶瑶 可儿(花魁) 汤圆 小不点 经开…

❤1

Showing the 12 most recent of 172 posts we hold for @HSziyuan88. 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.

Posts edited after publishing

@HSziyuan88 edited 26 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.

First edit seen
29 August 2026
Most recent edit
3 November 2026

Posts recorded as deleted after publishing

We recorded 31 posts on @HSziyuan88 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.

First seen missing
29 August 2026
Most recent seen missing
29 October 2026
Median time before seen missing
44 hours
Seen missing in the last 30 days
9

Forward network

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.

Mentions

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“南昌公开榜” (@HSziyuan88), 160,243 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/HSziyuan88.

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.