😊艺名:#念念 📍地区:#福州 #仓山区 📱私聊:@niannian996 📱双向: 🖥频道:https://t.me/niannian559 💸课费:500p 1000pp 📫学生报告 人照合一,房间不大但温馨,服务了得,黑丝美腿很是诱惑,总体非常不错,后面会再刷👅 🏠天使交流 📫天使频道 👍上榜联系

Channel
厦门福州天上人间公开榜🅥
@daiyu998666
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
31,950subscribers
-1,652 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 | -1002526773769 |
|---|---|
| Type | Channel |
| Username | @daiyu998666 |
| Description | 交流群:https://t.me/xmkk88888888 上榜联系客服: @tianshi88bot |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/daiyu998666 |
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 77% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 01:20 | 31,950 | -16 |
| 16 Sept 2026, 22:17 | 31,966 | -103 |
| 15 Sept 2026, 02:16 | 32,069 | -155 |
| 13 Sept 2026, 11:42 | 32,224 | -264 |
| 11 Sept 2026, 17:58 | 32,488 | -13 |
| 9 Sept 2026, 06:54 | 32,501 | -48 |
| 6 Sept 2026, 01:17 | 32,549 | +15 |
| 3 Sept 2026, 18:57 | 32,534 | +34 |
| 2 Sept 2026, 11:36 | 32,500 | -16 |
| 1 Sept 2026, 14:05 | 32,516 | +79 |
| 31 Aug 2026, 15:04 | 32,437 | +22 |
| 30 Aug 2026, 17:05 | 32,415 | -41 |
| 29 Aug 2026, 17:07 | 32,456 | -106 |
| 28 Aug 2026, 19:26 | 32,562 | -15 |
| 27 Aug 2026, 22:23 | 32,577 | +38 |
| 26 Aug 2026, 19:56 | 32,539 | +10 |
| 25 Aug 2026, 23:12 | 32,529 | +52 |
| 25 Aug 2026, 01:33 | 32,477 | +44 |
| 23 Aug 2026, 11:44 | 32,433 | +2 |
| 22 Aug 2026, 00:23 | 32,431 | first reading |
Engagement
143 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 90 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.20%
- avg views ÷ 31,950 subscribers
- Avg views / post
- 384
- 85 posts measured
- Reaction rate
- 2.28%
- reactions ÷ views · ER floor
- Posts in window
- 86
- of 143 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 26 of 85 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 143 (5 August 2026 – 30 September 2026) |
| Views total | 32,634 |
| Reactions total | 269 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 09:11 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
- ≈1,540
- Videos
- ≈408
- Links
- ≈205
Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 16m 34s
- Average length
- 9s
Measured directly from 105 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
1,125 reactions across 79 posts, in 9 distinct kinds. The most used accounts for 12.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 145 | 12.9% | |
| 🎉 | 136 | 12.1% | |
| 🔥 | 129 | 11.5% | |
| 😍 | 126 | 11.2% | |
| 👍 | 125 | 11.1% | |
| ❤🔥 | 123 | 10.9% | |
| 🤩 | 117 | 10.4% | |
| 💯 | 115 | 10.2% | |
| 🥰 | 109 | 9.69% |
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 82 of the 143 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 1,125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 143 most recent posts we hold, published 5 August 2026 to 30 September 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
😊艺名:#布布 📍地区:#福州 #晋安区 📱私聊:@yyckoou 📱双向: 🖥频道:https://t.me/WTkyMe0f 💸课费:800p 1600pp 📫学生报告 今天冒雨出来约了小姐姐 过程就不描述了 总之很满意。准备还会二刷 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#小皮 📍地区:#福州 #台江区 📱私聊:@xmxiaopi 📱双向: 🖥频道:https://t.me/xiaoqidehouhua 💸课费:600p 1200pp 📫学生报告 不想天公不作美,居然下起了大雨,但是并没有浇灭我出击的心。进门看到ls穿这白色的连衣裙,和照片有8,9分的样子,洗澡的时候会用胸打上沐浴露帮你洗,洗完也会用一次性浴巾帮擦干,出浴室就能看到一排的衣服可以任选。上床后开始课表上的服务和啪啪,比较有特色的是背上抹了润滑油后胸推。 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#洋洋 📍地区:#福州 #台江区 📱私聊:@yangdan333 📱双向: 🖥频道:https://t.me/yang888yang6 💸课费:700p 1400pp 📫学生报告 房间很干净温馨,挺嫩,🐍管够,技术一般,经验不丰富,水多,情绪价值给足 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#年糕 📍地区:#厦门 #湖里区 📱私聊:@xmng2005 📱双向: 🖥频道:https://t.me/xmng520 💸课费:500p 1000pp 📫学生报告 厦门水平确实高啊,前几天刚刚cj完觉得是体验感最好的一次,这次又拉满了,cj最想要的就是女友感了,上次尝试了比较生疏有点小尴尬的那种刚在一起的感觉,这次给我的感觉是情到深处了,年糕会趴在身上看着我边随意地舔舔拨弄一边聊天,非常自在舒服,词穷形容不出来,真的像是在恋爱,太上头了。单纯的服务达不到的感觉,想用美好来形容了。 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#子欣 📍地区:#厦门 #同安区 📱私聊:@hujianzhou12 📱双向: 🖥频道:https://t.me/huxiaoqian0 💸课费:600p 1200pp 📫学生报告 看见喜欢的菜驱车前往,开门老师嫩妹一枚,人照一致,随即交费到浴室帮洗。到床上嫩妹三件套,老师的口活还是不错,要求多口一会也不会不耐烦。女上起手,老师下面都已经湿成一片,全身都比较敏感,叫床和反应很真实。女友感满满。喜欢嫩妹值得无脑🐛就对了。 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#思思 📍地区:#厦门 #思明区 📱私聊:@xmsisi04 📱双向: 🖥频道:https://t.me/hfusbi8899 💸课费:700p 1400pp 📫学生报告 会详细引导上楼,怕你走错了,哈哈哈。老师人照差别不大,胸前大灯让你在帮洗的时候就想rua一把,还有专用私处沐浴露,有点香了。全程情绪价值给到位,也会给反应,值得一刷。 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#台球妹 📍地区:#厦门 #同安区 📱私聊:@xmsmz 📱双向: 🖥频道:https://t.me/ccstdd 💸课费:400p 📫学生报告 进门,御姐的形象扑面而来,本人比照片好看,身体非常好 不会让人觉得生分,短短几句话便缓解了紧张气氛,帮忙脱衣沐浴,一口下去,快活似神仙!擦干水分,开始选战袍,我忠爱御姐,选了高跟丝袜,然后开始传教士+后入疯狂输出,一起沉醉在那个意境里。比较久,也不闹情绪,耐心引导,很值得,会回来的! 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#娜娜 📍地区:#厦门 #集美区 📱私聊:@nanas5128 📱双向: 🖥频道:https://t.me/nanatgjde1234 💸课费:500p 1000pp 📫学生报告 临时约的娜娜老师,人照八九成。进门坐下抽支烟,简单聊了几句就去洗澡,很细心。然让后上床,大白兔在我的身上游荡,老师一边按摩一边娇喘,吸皮过水非常爽,然后灵活的小舌头进攻菊花,同样非常爽。含水口也是很舒服,之后开始正戏,老师又吸又夹,老师体力不错,配合着我进攻的节奏。1p结束,老师给按摩一下,休息一会转战沙发开始第二次,过程不再赘述,同样爽爽出水。结束赶上吃饭时间,还和老师一起吃了外卖,哈哈哈哈哈 很不错的一次体会,有时间会再出击 🏠天使交流 📫天使频道 👍上榜联系
❤1
😊艺名:#安然 📍地区:#厦门 #湖里区 📱私聊:@Anr88800 📱双向: 🖥频道:https://t.me/XMAnr000 💸课费:500p 1000pp 📫学生报告 停车方便,课室好找,一进门老师身穿黑色短裙 高跟鞋,腿很长。很热情的招呼拿出水,聊会天之后一起洗澡 ,有水萧,还仔细的帮擦干全身,真的用心的了,到了床上也很温柔 会问你舒服吗 会在意你的感受,口的时候特别舒服 好几次都快忍不住了赶紧喊老师带上帽子,先是女上 水很多 体力还不错,最后换我做主角换个了几个姿势满足的交货,老师很配合,不催 也没有不耐烦,必返食的!值得 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#小苹果 📍地区:#厦门 #思明区 📱私聊:@hdhdjdkkdjdk 📱双向: 🖥频道:https://t.me/piehuo12 💸课费:600p 1200pp 📫学生报告 找了很久的老师终于找到了,老师空闲果断上课。推门进去就看到老师穿着长裙两个大🐻晃晃的。聊了几句直接进行下一步!全程老师帮忙擦干,动都不让你动一下的。(温柔的说我来吧) 上床直接趴着 老师换上包臀裙帮忙按摩放松 随后开始用软软的舌头亲吻身体。翻过身来老师开始使用口活,一般人真的顶不住 老师口时候的表情真的让人很舒服。随后直接戴套出击。老师水确实很多很滑,表情很到位!最后后入出击老师温柔对白,猛烈出击老师很受不了,叫的让人很舒服,随着浓烈的氛围我也缴械投降了! 喜欢BBW的兄弟真的可以冲!服务真的很一流,受不了的兄弟包缴械的!值得二刷!冲啊兄弟们🪖 🏠天使交流 📫天使频道 👍上榜联系
😊艺名:#小花猫 📍地区:#厦门 #湖里区 📱私聊:@xmxiaohuamao 📱双向: 🖥频道:https://t.me/xmxiaohuamao520 💸课费:500p 1000pp 📫学生报告 老师是御姐型,真人颜值妆造可以的,照片拍的不好,身材前凸后翘,皮肤白皙细腻,帮洗跟帮擦都很细致。上床的时候还会问要不要套装,小舌头舔的既温柔又快速,伴着呻吟声让我很有感觉,口的时候也很认真,舔蛋啥的都没落下,服务了很久,口跟舔来回切换,这点对我来说挺加分的。做的时候,水也蛮多的,包裹感强烈,明显感觉到二弟在被吮吸。事后一根烟,跟老师聊了一会,老师性格也挺不错的,不会冷场。 🏠天使交流 📫天使频道 👍上榜联系
Showing the 12 most recent of 143 posts we hold for @daiyu998666. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@xmkk88888888 · 95,33472 posts台江万达公寓spa(聊天群)
@jiaren94 · 2,5583 posts台江万达公寓spa
@tjwd94 · 2,7083 posts福州小优的朋友圈
@chulian92 · 392 posts厦门奶豆🍼快乐空间
@naidou678 · 2,2752 posts媛媛个人 🉑上🚪
@sssjjdjdfj · 6002 posts布布小屋
@WTkyMe0f · 1,0632 posts福州半裸抓龙筋🐲
@xia_zlj · 3,5022 posts厦门小甜心的小家
@xiaodian528 · 3,6202 posts初心的小家
@cruru520 · 1881 post全国莞式全套会所
@ejdjdppx · 21 post超级晚晚🧖🏼♀️(可包时)
@fenglinwan5678 · 11,9771 post甜宝 真水床➕菀式💝
@fjxmtianbao · 3,6231 post果果(95)
@guoguo1029 · 3771 post小米的专属小屋
@kkll099 · 7961 post琪琪的朋友圈
@Lsq58869 · 1,4511 post麦子🌾的后宫
@mz52111 · 2,1011 post囡囡的后花园
@nannan_06 · 171 post乐乐预约莞式93spa
@taiyuan93 · 1111 post小狐狸
@xiaohuli58856666 · 2,3761 post厦门高端会所 24小时
@xiongmin1 · 11,4731 post沈佳玉的频道
@xmsjy2006 · 1,6871 post厦门小土豆的小屋🛖
@xmtudou520 · 2,8661 post雪梨🍐的小木屋
@xuelidehhyq · 1,8301 post
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.
Handles this channel named that no longer answer
- Dead references
- 3
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@daiyu998666 named 3 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 30 August 2026 – 30 August 2026 · confirmed gone 2 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 2 September 2026 – 2 September 2026
named in 1 post, 20 August 2026 – 20 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“厦门福州天上人间公开榜🅥” (@daiyu998666), 31,950 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/daiyu998666.
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.