【时间】:2026-11-04 【老师】:露C 【留名】:WolfKing 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.57 【过程】:看到新挂榜的露C老师很不错,于是与露C老师提前约好了时间去出击。到了之后就是熟悉的指挥上楼。当露C老师打开门的一瞬间有被惊艳到,人照10分,没有过度美颜,本人就是照片上这样的。 进来之后先跟老师抽了个烟,聊了会天。通过聊天才知道,原来老师是兼职做这个的,平时主业是开医美工作室的,由于现在国家政策严,所以跑上海来考个医师执业证,有空闲的时间跑来嘉兴做个兼职赚个生活费,为了生活也是挺拼的。 后面就是洗澡+口+做 三件套了。 由于老师是兼职的,所以会的服务不多,类似快餐的服务吧,就是课表上的服务,但是口活很好,差点被吹出来,小妹妹也很紧,你提的要求只要她做的到,都会同意的。 优点:身材好,健谈,服务态度不错 缺点:停车不是太方便

Channel
嘉兴✍🏻用户反馈中心
@ntwwxuner
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
9,840subscribers
+150 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001739181172 |
|---|---|
| Type | Channel |
| Username | @ntwwxuner |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/ntwwxuner |
Topic
Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 08:56 | 9,840 | -10 |
| 1 Nov 2026, 11:04 | 9,850 | +1 |
| 29 Oct 2026, 12:11 | 9,849 | +16 |
| 26 Oct 2026, 01:06 | 9,833 | -4 |
| 23 Oct 2026, 07:55 | 9,837 | -9 |
| 20 Oct 2026, 14:00 | 9,846 | -1 |
| 17 Oct 2026, 20:38 | 9,847 | +2 |
| 15 Oct 2026, 00:17 | 9,845 | +25 |
| 12 Oct 2026, 04:19 | 9,820 | +3 |
| 5 Oct 2026, 22:15 | 9,817 | +32 |
| 28 Sept 2026, 16:36 | 9,785 | +24 |
| 18 Sept 2026, 23:39 | 9,761 | +8 |
| 14 Sept 2026, 21:17 | 9,753 | -10 |
| 11 Sept 2026, 06:36 | 9,763 | +45 |
| 6 Sept 2026, 08:38 | 9,718 | +6 |
| 1 Sept 2026, 22:47 | 9,712 | +1 |
| 30 Aug 2026, 04:58 | 9,711 | +9 |
| 27 Aug 2026, 08:33 | 9,702 | +10 |
| 24 Aug 2026, 09:38 | 9,692 | +3 |
| 20 Aug 2026, 21:48 | 9,689 | first reading |
Engagement
167 posts held, back to 5 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.03%
- avg views ÷ 9,840 subscribers
- Avg views / post
- 495
- 38 posts measured
- Reaction rate
- 0.19%
- reactions ÷ views · ER floor
- Posts in window
- 38
- of 167 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 9 of 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 167 (5 August 2026 – 4 November 2026) |
| Views total | 18,795 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 08:41 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.
Reaction mix
131 reactions across 89 posts, in 3 distinct kinds. The most used accounts for 91.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 120 | 91.6% | |
| 👍 | 9 | 6.87% | |
| 🔥 | 2 | 1.53% |
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 100 of the 167 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 167 most recent posts we hold, published 5 August 2026 to 4 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
【时间】:2026-11-04 【老师】:静静 【留名】:冬冬 【人照】:10 【颜值】:9.5 【身材】:10 【服务】:9.5 【态度】:9.2 【环境】:9 【综合】:9.53 【过程】:一进屋就明显能感觉到静静妹妹真人比照片好看太多了。颜值身材都很好,个子高腿还长,进屋聊的很开心。床上挺骚的,口活十分认真,无齿感,不喊停不带停的。很有耐心。开啪的时候,十分有活力,也够紧,暖和的起飞,摸着皮肤看着脸,配合着刚刚好的叫床声,爽死,换了几个动作妹妹也都极其配合,满分女友感,价格也很合适,相当给力,十分满意,可以cj!
【时间】:2026-11-04 【老师】:爱丽丝 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.71 【过程】:小区环境非常好 感觉住的人不是特别多 进门老师人照基本就是没有区别 身材好 声音也甜甜的 课表有的也全都有 也不敷衍~非常推荐!
【时间】:2026-11-04 【老师】:媛媛 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:重来不写评论的,这次必须给老师点个赞,就怪自己不争气。态度好,服务好,长的好,大家可以冲
【时间】:2026-11-04 【老师】:垚垚 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:一个非常好的老师,服务特别认真,课表的内容都有,而且互动很好,会询问感受喜好满足需求。胸大,手感极佳,服务极其认真的,口活超棒、无齿感,差点都被口爆了,幸好提前叫停了!超级赞。最后也是成功的在108的技巧下一飞冲天。评价为夯。情绪价值也非常到位。
❤1
【时间】:2026-11-04 【老师】:琳琳 【留名】:WolfKing 【人照】:9 【颜值】:9 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:9.29 【过程】:在群里关注琳琳老师有段时间了,这次刚好有空就过来出击了。 还是熟悉的指挥上楼,开门映入眼帘的是两个大胸,爱不释手啊。 简单的闲聊几句,抽了根烟,就交了水费开始洗澡。 全程都是老师帮忙洗澡,洗完就上床上开始服务了。 课程的服务都有,过多就不说了,总之妹妹很紧很紧,一会就出货了。 4P这个价格的话还是物超所值的,特别喜欢大奶的可以尝试下,一只手都握不住啊。
❤3
【时间】:2026-11-04 【老师】:冷脸粥 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:梦幻回忆录2:10月17日再遇周周 总算等来了第二次,依旧下午茶,依旧三小时4p,口的我头皮发麻鸭,神临😭,我还要去100次,颜值服务情绪价值全部拉满,这辈子就偏爱姓周的,比如周六周日周大福周生生周游世界,特别是周周,想了😭
【时间】:2026-11-04 【老师】:冷脸粥 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:梦幻回忆录1:9月20日初遇周周 总算有机会写报告了,这怎么写啊,完美的女人,进门一下给我抱住,我话都不会说,又漂亮又可爱还有奶茶喝,下午茶还有饭吃,猫很可爱,摸一下,整体体验一万分,去不了吃亏去不了上当,就怕你们约不到,唯爱周周,我周伟大,无需多言😭
【时间】:2026-11-04 【老师】:露C 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.71 【过程】:今天二刷老师去的比较晚,驱车一个小时过去环境不错老师依旧那么好看,每次去情绪价值都特别好过程不描述了,👄活是真的好老师也属于梨形身材很耐看强推下次还会去的。
【时间】:2026-11-04 【老师】:温暖 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9.07 【过程】:总体来说服务还可以,帮你洗澡,洗澡洗的很仔细,长像还可以,皮肤挺白,口活很好,很仔细,戴眼镜服务很有感觉,很卖力,总体来说还不错。
【时间】:2026-11-03 【老师】:甜心 【留名】:麻姚 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:无聊刷榜,发现甜心老师试一试的态度约了一下老师,老师离老万达很近马上驱车前往,指引很明确到达科室,开门看到老师穿着情趣服装顿时二弟有了反应,上手一摸真实D非常软,迫不及待洗澡进入正题,点趴着做背面服务老师调情很到位,时不时会勾引你,轮到正面老师很配合,直接上下起手非常极品,鲍鱼很肥毛刮过那必须69直接上嘴,舔了一会让老师带上小雨伞,直接狠狠插入,逼非常紧,老师在胯下表情非常骚很有感觉,会叫爸爸,有点把持不住那就后入狠狠输出,完事后和老师聊了会天就离开了,非常不错的体验6p里属于极品了!
【时间】:2026-11-03 【老师】:媛媛 【留名】:15C 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:打开电报看到老师发的信息 马上从南湖跑到嘉善 一进门就觉得没白来 很热情 很漂亮 进门就给你递水喝 还帮你打开 然后就去洗澡了 过程很愉快 老师身材真的很好 走的时候还会给你一个大大的拥抱 下次肯定还会再来
Showing the 12 most recent of 167 posts we hold for @ntwwxuner. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@ntwwxuner named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 27 August 2026 – 28 August 2026
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“嘉兴✍🏻用户反馈中心” (@ntwwxuner), 9,840 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/ntwwxuner.
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.