杭州Alex教你123: https://t.me/hzdanai 【老师花名】:#小小雨 【上课费用】:1800pp 【上课区域】:#上城区 【出击评价】:#超级好评 【出击狼友】:DUAN 【老师特点】:顶级颜值&服务,流连忘返 【老师车牌】: @xiaoyu7701 #硬件配置 身高163但比例极好,胸B够用 #服务内容 课表上都有 #情绪价值 女友感极强,说实话这个颜值属于天生女友感了 #态度意识 服务态度极好,无脑跟着老师走就可以,课表有的全部做,给你安排的明明白白 #日感反馈 热紧润,全程完美配合,最喜欢CJS,边欣赏颜值边干活,太享受了 #精选黄文 约了几个月的小小雨老师终于宣布回归,果断直接预约PP,到了预约时间,按照老师指引一步步到课室,见到真人的那一刻,惊为天人,脑子里想居然是这位老师一定会二刷,乐呵呵的进屋,递水喝水,欣赏够颜值后就开始共浴。共浴简直无脑,安排的明明白白,臀胸水中萧,一个字,…

Channel
小小雨❤️
@xiaoxiaoyu997
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,684subscribers
+219 since we began measuring on 3 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003737485756 |
|---|---|
| Type | Channel |
| Username | @xiaoxiaoyu997 |
| Created | Between 1 February 2026 and 24 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xiaoxiaoyu997 |
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 18 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 |
|---|---|---|
| 18 Sept 2026, 22:37 | 1,684 | +98 |
| 14 Sept 2026, 07:40 | 1,586 | +27 |
| 10 Sept 2026, 23:40 | 1,559 | +81 |
| 6 Sept 2026, 03:42 | 1,478 | +13 |
| 3 Sept 2026, 23:22 | 1,465 | first reading |
Engagement
20 posts held, back to 24 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.3%
- avg views ÷ 1,684 subscribers
- Avg views / post
- 241
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 20 (24 May 2026 – 3 September 2026) |
| Views total | 964 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 23:22 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
- 11s
- Average length
- 11s
Measured directly from 1 video 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 4 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 2 reactions 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 24 May 2026 to 3 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
今天课🈵 可预约明天
杭州学生会:https://t.me/students_union 【出击老师】:小小雨 【出击留名】:Jessper 【出击时间】:2026-09-03 【大概位置】:上城区 【修车水费】:1800PP 【高端服务】:有的打 ✅ 没有的打 ❎ ① 舌吻 ✅ ② 六九 ❎个人不好这口所以没要 ③ 毒龙 ❎ 【人照相似】:人照9分 【身高身材】:身高163左右,纹身未见,小S腰 【胸器罩杯】:B胸,手感软糯 【湿度紧度】:水多比紧会夹 【课室环境】:老小区房,路边停车挺方便的 【个人卫生】:不抽烟,有陪浴,有牙刷和一次性浴巾 【时间管理】:排课很合理不紧凑,无催客赶客,情绪价值高 【服务点评】:挺少有的嫩妹服务型老师,陪浴擦洗很仔细,主动大蟒蛇加分 【推荐程度】:9.5 【流程细节】: 之前就去过小小雨老师那里,经过几个月的长休以后终于又等到了老师回来开课。提前和老师定好了时间cj,老师所在的小区可以说是一个交通位…
开课啦
希望像日出一样越来越好😘
七夕吃粽子还是月饼来着
Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#小小雨 【上课费用】:1000 【上课区域】:#上城 【出击评价】:#接近超级好评 【出击狼友】:pupkglaf 【老师特点】: #大蟒蛇 #软 #嫩 【老师车牌】: @xiaoyu7701 #硬件配置 身高160出头,体重85,年龄23,颜值高,人照一致,身材偏瘦有肉,胸型b-,手感软,小穴没注意,屁股有肉 #服务内容 【陪浴】,【舔胸】,【指划】,【按摩】,【水中萧】,【口交】,【舌吻】 #情绪价值 女友感 #态度意识 进门递水,全程微笑,不机车 #日感反馈 12345无法描述,就很舒服 #精选黄文 很细心的老师换了地方提前通知了,很有安全感的老师,进门会让注意不要直上直下,很有亲和力的老师,一直笑不冷场,挺好的住宅小区没门禁进出上下方便,停车方便,到位置老师稍微指挥下就找到了很好找,一开门,哟呵漂亮,不高瘦瘦的,…
开课
杭州学生会:https://t.me/students_union 【出击老师】:小小雨 【出击留名】:AverageG 【出击时间】:2026-05-28 【大概位置】:上城区 【修车水费】:1000P/第3刷 【高端服务】:有的打 ✅ 没有的打 ❎ ① 舌吻 ✅ ② 六九 ✅ 有我没要 ③ 毒龙 ❎ 【人照相似】:人照9.5分 【身高身材】:身高163左右,无纹身 【胸器罩杯】:罩杯B,乳头粉淡褐色,手感挺好的 【湿度紧度】:户型毛发少,逼逼粉嫩 【课室环境】:小区房,停车方便 【个人卫生】:不抽烟,有陪浴,有浴巾有牙刷 【时间管理】:排课很合理,无催客赶人,情绪价值高,女友感 【服务点评】:老师是嫩妹,嫩妹带服务首先就很加分,163左右腿细长,皮肤黄白皮,疤痕体质,配合度高,陪浴时洗的很仔细,主动大蟒蛇 【推荐程度】:9.5 【流程细节】: 有段时间CJ了,心血来潮,逛了下TG,新来了很多妹妹漂亮是漂亮,X…
开课
Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#小小雨 【上课费用】:1000P/2刷 【上课区域】:东站附近 【出击评价】:#超级好评 【出击狼友】: 月微凉 【老师特点】: #女友感强 #情绪价值高 #主动大蟒蛇 #颜值嫩妹服务系 【老师车牌】: @xiaoyu7701 #硬件配置 身高163+,人照9分,体重100斤不到,黄白皮肤色,身材好,B胸,屁股有肉,小穴毛量少 #服务内容 陪浴,口,做,按摩,胸推,臀推,水中萧,AB面,舌吻,制服 #情绪价值 女友感强,情绪价值很高,因为是二刷,老师对我们之前的有些互动的细节居然还记得,很喜欢这种感觉 #态度意识 进门抱抱并递水,牙刷,一次性浴巾,一次性床单都有,老师女上体力其实不是太好,但咬牙坚持很敬业,最后确实顶不住了扒下来很可爱 #日感反馈 小穴挺紧的,水多,包裹感很强,叫床声很轻挺舒服的,不会感觉假 #精选黄文…
🈵
Showing the 12 most recent of 20 posts we hold for @xiaoxiaoyu997. 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
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
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“小小雨❤️” (@xiaoxiaoyu997), 1,684 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xiaoxiaoyu997.
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.