🫶Bro, how is 🇹🇭( Ailin) 🇹🇭 service? Please give me a feedback, thanks bro😘🤝 😍Face : 7/10 👙Body : 8/10 Real 🔥Service : 9/10 ❤️🔥GF feel : 9/10 💆Massage : - 🐱Catbath : 8/10 😛BBBJ : 8/10 💞FJ :- 🥰Friendly : 8/10 ♀️Overall : 8/10 🍺WIR (Would I recommend) : Yes✅ 🙇Thanks for Supporting 🙇♂

Channel
Feedback / FR Channel
@night9funnetfr
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,509subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002059733853 |
|---|---|
| Type | Channel |
| Username | @night9funnetfr |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/night9funnetfr |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 11:45 | 1,509 | -2 |
| 10 Aug 2026, 19:38 | 1,511 | -1 |
| 7 Aug 2026, 21:46 | 1,512 | no change |
| 7 Aug 2026, 13:45 | 1,512 | first reading |
Engagement
20 posts held, back to 9 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 91.5%
- avg views ÷ 1,509 subscribers
- Avg views / post
- 1,380
- 4 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- 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. It is computed over the 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (9 May 2026 – 7 August 2026) |
| Views total | 5,525 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:46 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
7 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 100.0% |
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 8 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 May 2026 to 7 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
最后冲刺拿Bingo换奖励了,剩下不多选择 选择去night9fun 拿了房号自己上去敲门照镜。照了一轮刚好miss掉一个因为kakak在打扫,挺尴尬的其实,我到回去敲门的时候kakak跟我讲她去了对面…… 我就去敲对面的门。你们有经历过吗,两个包头的kakak跟我讲去对面房看妹子, wtf 一开门我决定就是她了 全场唯一原装,不管是脸还是身材。走出来她进房间的时候我就讲ok,她应该也没有想到我会选她。小小只 眼睛很美一下。输在奶比较小 大腿比较有肉。进到去妹子就帮我洗澡 一开始讲英文的,慢慢讲华语 ,有一些讲到比较kik一点,要想一下才懂她在讲什么。 洗完澡就开始舔我的奶,口技非常可以,侧身口,舌头很大又很长,又是新的体验,可以清楚看到她的舌头在我的屌漫游。不错不错,然后我的手情不自禁去抚摸她的鲍鱼,因为没有奶给我玩。 口完妹子就问我爽吗,肯定爽! 想做爱吗, 想! 。。。。。。 欲知详情,请点击以下链接 : https…
首先感谢熊猫网和Night9fun让小弟有机会拿到奖励,基本上每次都是去cheras那边的,今天就想去ampang看看,因为那边有一个本地妹。结果一去到上到去妹子不在,出去吃东西了。店长带我转了一轮,有两个泰国model,一个很高,一个很大可是人造的。都不是我的菜,看了一轮只有emma比较喜欢,可是奶有点下垂,再三犹豫还是选择拿Emma,不想等了,因为店长说本地的不美而且平的。 进到房间妹子带我去洗澡,妹子小小只,眼睛大大,颜值在线。可惜的是奶比较不美,可是是大只的,原装。洗完澡妹子开始做猫舔,从奶头开始,慢慢往下。然后开始帮我吹,你别说,这个口技很可以,很有感觉。而且不敷衍,吹了蛮久一下的。 之后就带套上来,骑了一下就趴在我身上,kiss我的颈和耳朵。反正有两shot。第一次就给妹子摇出来吧,她一边骑我也跟着动,最后还是给她摇到射了。结束后妹子拿wet tissue帮我清理。 。。。。。。 欲知详情,请点击以下链接 : …
🫶Bro, how is 🇹🇭(Pla) 🇹🇭 service? Please give me a feedback, thanks bro😘🤝 😍Face :9 👙Body :9 🔥Service :9 ❤️🔥GF feel :9 💆Massage : 🐱Catbath : 😛BBBJ : 💞FJ : 🥰Friendly :ya ♀️Overall : 🍺WIR (Would I recommend) : yes 🙇Thanks for Supporting 🙇♂
小姐前一天还在Ampang 第二天就跟负责人预约,怎么知道当天被调到Mahkota Cheras ,心里挣扎了许久,再看看广告照片好吸精 ,还是跟负责人booking了 。到了预约时间负责人 就在大厅等我 ,谈了一下就上楼去他给的指定 房间。 敲敲门 ,小姐开门 ,First impression ,样子长得跟广告有80%,短发 ,身材高挑 ,只是有点壮吧?进了房间先付学费 ,然后一起去 冲凉。他递给我漱口水,心想这次有戏了,冲凉standard 吧 ,过程中用英文跟她聊几句,怎 知她英文有限公司 ,有听没有懂。冲完凉就在床上等她。 她出来后就上床开始服务我,她先来个猫澡,舔了10多秒就口弟弟 ,她很用心的口,弟弟是 口硬的。硬了后就上套,到这里才过了5分钟 ?她先女上,她慢慢的把龙弟放进去,进去时我能感受到有股阻力在挤压我的龙弟,这未免太紧了吧,她表现出 痛苦的表情 。 。。。。。。 欲知详情,请点击以下链接 https…
❤2
又到月尾了,感谢熊猫哥的温馨提醒我关于Bingo。查了Bingo九宫格后就联络Night9fun负责人本来要Victoria的,可惜她没有做了,然后我就选了第二选择Creamy,预约她下班后过去。到了酒店,根据负责人给的房号找到了Creamy。 一见到面的时候才发现其实她很小只,才155cm高,也没有像照片那样白。样子的话是有出入,虽然照片有过度修白,但是她的真人其实还蛮耐看cute的,那对大眼睛是真的,真人不需要睁大眼睛都很大!进去之后她就很贴心的帮我挂起衣服和摆放袜子,是真的服务型的。 我们两个人脱了衣裳一起去浴室,她会一直抓我的手去玩她的奶,她很喜欢客人抓她的奶,我手一拿开,她又会把我的手抓回来,够力。洗澡的话,她很用心的洗叻,不是随随便便意思一下,而是真的帮小孩子冲凉那样,每一个地方,加上前后上去都洗到完(难道这就是传说日本Nuru的SOP?当然在那狭窄的空间,她不可能做到Nuru黏液水床服务啦)。洗到一半她会坚持要…
大神们都太厉害了 奖励一下就没了 怪自己手慢。还有很多卡着兑换不了就看下还有哪里可以去,最后选择去night9fun。先问captain谁有空 结果还是选择去照镜。照镜之前有刷到两年前的fr 翻车的 证明也没有19岁了。照镜之后我问captain会翻车吗 他说50/50 纠结了一下还是决定试下,主要其他的不喜欢而且Nalin的话身材和颜值都ok 只是鼻子比较科技。 进到去妹子对我笑笑然后叫我去洗澡。开盲盒时间到,幸好这轮赌对了 真的是32B 没有报假,不会太小一个手刚好抓完 手感也不错奶头也好看。现在很怕看到B cup的 一就很小 不然就是照片很大然后写B通常都是很堕的。 她帮我洗到很干净,洗完澡躺在床上她慢慢地爬上床,没有过多的交流和挑逗,直接帮我口上了,把她的头发卷起来用手抓着帮我口,别一番风味,有点可爱。口完就直接帮我带套,然后上来。摇累了就趴在我身上,我一手搂着她的腰 一手抱着她的头干塔 小只就是好玩 包缚感很强。 …
❤3
🫶Bro, how is 🇹🇭(LinLin) 🇹🇭 service? Please give me a feedback, thanks bro😘🤝 😍Face : 10 👙Body : 10 🔥Service : 10 ❤️🔥GF feel : 10 💆Massage : 10 🐱Catbath : 10 😛BBBJ : 10 💞FJ : 10 🥰Friendly : 10 ♀️Overall : 10 🍺WIR (Would I recommend) : yes, big ori boobs, like to play 🙇Thanks for Supporting 🙇♂
今天放工突然经过酒店,想一想好像很久没有来了哦,就打开telegram 看一看分享有几个新妹子不错就找位子Parking 上楼照照镜,可惜想看的妹子刚好被包夜了那来都来了就试试Anan吧。 小麦色皮肤,苗条身材,小笼包,穿着背心,短裤,进到去先简单聊天破破冰,没想到她和之前的tingting是好姐妹,然后就一起去冲凉,还会用小笼包在你身上抹肥皂和讨亲亲,在厕所玩的差不多了就快快冲凉准备换战场。 换了床上后她先简单调一下冷气和灯光之后就快速的钻入被子抱着我,然后开始吻我的脖子之后又来接吻,然后很顺其自然的就爬上来了,然后开始猫澡之后就到龙弟可能太久没有发射了龙弟很快就充满了血就快速上套先来个女上摇,真的非常舒服视觉效果也十分好看 。。。。。。 欲知详情,请点击以下链接 : https://panda969.site/forum/postid/39617/ 店家咨询 : https://menu.panda969.site/…
🫶兄弟,🇹🇭(Mena ) 🇹🇭服务怎么样? 请给我反馈一下,谢谢兄弟😘🤝 😍脸:9 👙身体:8 🔥服务: 10 ❤️🔥GF 感觉: 10 💆按摩: 7 🐱猫浴: 8 😛BBBJ: 8 💞FJ: 9 🥰友善: 10 ♀️总体: 9 🍺WIR(我会推荐): 肯定会 🙇感谢支持🙇♂
感谢熊猫网和night9fun的活动让小弟有机会拿到奖励,看照片直接选了Mena,和captain沟通之后到了直接上房间敲门 。开门那一瞬间 Wow年轻大长腿 皮肤又白 眼睛会笑 过后往下看一眼 原来高跟鞋很高,但是妹子腿也是很长 身材又好 进到去妹子先帮我洗澡 没什么特别。洗完后我先出去躺着之后妹子包着毛巾出来,有点怕冷。然后一上来就盖被 问我冷吗 我就卷进被子抱着她 手当然要顺便扎一下波啦。 抱了一下妹子开始服务我 开始帮我口 口技还不错 加上颜值简直无敌 一边口我一遍抚摸她的头。 口完先叫她骑我 那对车头灯也是很美 原装C奶 手感很好。她服务完到我服务她 一边吸她的奶 一边操她 当然少不了狗爬式 顶到最深 她的声音很好听 嗲嗲的 有一种反差感 model身材 软妹颜值加声音。 。。。。。。 欲知详情,请点击以下链接 : https://panda969.site/forum/postid/39497/ 店家咨询 :…
❤1
Stella good 😍Face : 10/10 👙Body : 9/10 🔥Service : 10/10 ❤️🔥GF feel : 10/10 💆Massage :10/10 🐱Catbath : 😛BBBJ :10/10 💞FJ : 🥰Friendly :10/10 ♀️Overall :10/10 🍺WIR (Would I recommend) :yes 🙇Thanks for Supporting 🙇♂
Showing the 12 most recent of 20 posts we hold for @night9funnetfr. 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 — 253,803 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.
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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
“Feedback / FR Channel” (@night9funnetfr), 1,509 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/night9funnetfr.
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.