今天还有空

Channel
苏州富豪大哥们
@yy1680213
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
3,329subscribers
+92 since we began measuring on 25 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003638690660 |
|---|---|
| Type | Channel |
| Username | @yy1680213 |
| Created | Between 1 December 2025 and 9 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/yy1680213 |
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 14 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 15 Sept 2026, 07:39 | 3,329 | -14 |
| 11 Sept 2026, 06:16 | 3,343 | +1 |
| 6 Sept 2026, 01:57 | 3,342 | +8 |
| 2 Sept 2026, 08:04 | 3,334 | +37 |
| 29 Aug 2026, 21:57 | 3,297 | +46 |
| 26 Aug 2026, 13:42 | 3,251 | +14 |
| 25 Aug 2026, 16:00 | 3,237 | first reading |
Engagement
20 posts held, back to 9 March 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
- 12.5%
- avg views ÷ 3,329 subscribers
- Avg views / post
- 416
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- 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 25 August 2026 |
|---|---|
| Posts held | 20 (9 March 2026 – 25 August 2026) |
| Views total | 831 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 16:00 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
- 25s
- Average length
- 5s
Measured directly from 5 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
96 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 51.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 49 | 51.0% | |
| 👎 | 25 | 26.0% | |
| 🌚 | 9 | 9.38% | |
| 😐 | 5 | 5.21% | |
| 🥱 | 5 | 5.21% | |
| 🗿 | 2 | 2.08% | |
| 🤯 | 1 | 1.04% |
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 18 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 96 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 9 March 2026 to 25 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
开课啦 过几天休息了
今天还有位置
❤1
#sz777 #云云 【验证留名】: tony 【验证时间】:8.19 【妹子花名】:云云 【联系方式】:https://t.me/gongkaisuz/14205?single 【联系问题】:新文化 【所在位置】:姑苏区 【修车水费】:6P 【身高身材】:170 【颜值相似】:本人比照片好看 【凶器罩杯】:C 【服务内容】:课表一致 【服务详情】:看到老师的介绍这不就是我喜欢的类型嘛,开门就被老师的容颜惊呆了,一眼相中,就是自己喜欢的御姐,便交了学费,一起洗澡,小弟弟马上就有感觉了,触摸着光滑的皮肤,老师帮忙擦干后,又欣赏了妹妹的酮体,晶莹的水珠挂在光滑洁白的皮肤上,真想上去吸两口,躺床上后,就开始对妹子舔舐,非常舒服,之后也给口了很久自己先受不了,便提枪上马,刚进入蜜穴,就感受到湿热与紧致,在不断的抽插中,听着妹妹哼哼唧唧的声音,根本停不下来,女上给老师都累到了,最后在自己的努力下成功上岸。 非常满意的…
❤2
#sz777 #云云 【验证留名】: da hongying 【验证时间】:7.22 【妹子花名】:云云 【联系方式】:https://t.me/gongkaisuz/14205?single 【联系问题】:新文化 【所在位置】:姑苏区 【修车水费】:6P 【身高身材】:170 【颜值相似】:本人比照片好看 【凶器罩杯】:C 【服务内容】:课表一致 【服务详情】:妹妹真的是极品,满分💯。会返食的。颜控必冲,妹妹是属于瘦的高的。身上味道好闻,态度和小女朋友一样,会害羞,又配合。全程都是温声细语的,态度好到我都不忍心欺负他。还有皮肤任选。服务很好,人也很漂亮,加一句人比照片还漂亮 【机车行为】:无 【优点缺点】:身材好,不冷场 【推荐程度】:满分10分 老师链接:https://t.me/gongkaisuz/14205?single 报告链接:https://t.me/baogaosuz 大群链接:http…
❤2🥱1
#sz777 #云云 【验证留名】:vbliyou 【验证时间】:7.18 【妹子花名】:云云 【联系方式】:https://t.me/gongkaisuz/14205?single 【联系问题】:新文化 【所在位置】:姑苏区 【修车水费】:6P 【身高身材】:170 【颜值相似】:本人比照片好看 【凶器罩杯】:C 【服务内容】:课表一致 【服务详情】:初次体验老师非常满意,妹子本人比照片好看,自己有房安全性高,制服丝袜有的都有,服务过程中也非常配合,见完面就忍不住去洗澡,洗完澡后妹子会先给你调调情做做服务,胸大小合适,鲍鱼粉嫩,各种挑逗,让你有种欲罢不能的感觉,满意而归,体验非常不错,会二刷 【机车行为】:无 【优点缺点】:热情,服务好,皮肤白,没有缺点 【推荐程度】:满分10.0分; 老师链接:https://t.me/gongkaisuz/14205?single 报告链接:https://t.me…
❤6🤯1🥱1
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-07-16 老师:#云云 留名:SanNanhe ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:今天就突然很想,然后云云老师正好就现在有空,然后驱车过去,说好二十分,但是路上肚子突感不适,实际花了快四十分钟,老师也没有催促,地方很好找,遥控上楼,进门后一看就是御姐范,长得和照片上没什么区别,然后聊天付水费,老师很健谈,不冷场,迫不及待的和老师一起洗了澡后就上床了,老师身材很好,很瘦,胸不大,是本人比较喜欢的那种,姿势配合度高,女友感十足,课表上的也都能做到,老师水很多,又紧又滑,导致出货速度比我平时快多了,特别喜欢,会二刷! 【优点】:女友感十足,配合度高 【建议/缺点】:无 【个人评价总结】:…
❤3🥱1
Video, posted without a caption
❤3🥱2
【时间】:2026-06-19 【老师】:云云 【留名】:遛鸟(岸)月下 【人照】:9 【态度】:9.2 【环境】:8.8 【综合】:9 【过程】:出了点意外情况,刚好看到云云老师,看了频道很喜欢,当即约上出击,打开门老师和频道照片差不多,身材高挑颜值不错,聊了两句交上水费帮忙洗澡,全程帮洗,擦干上床,老师口的很舒服,差点按耐不住,赶紧戴套,先是女上老师体力还不错,反馈给的也很强烈,然后传教,后入123出货。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
❤5😐1
#sz777 #云云 【验证留名】:Funny 【验证时间】:6.19 【妹子花名】:云云 【联系方式】:https://t.me/gongkaisuz/14205?single 【联系问题】:新文化 【所在位置】:姑苏区 【修车水费】:6P 【身高身材】:170 【颜值相似】:本人比照片好看 【凶器罩杯】:C 【服务内容】:课表一致 【服务详情】:妹妹本人比照片好看,白月光型,大长腿,很漂亮,真的像极了我读书时暗恋的女神,眼神和照片一样清澈,皮肤光滑细腻,没有多余的赘肉,待人如夫,叫床更是骚气十足,反差感很强,皮肤摸起来软软的,事前事后都会耐心陪伴。跟她爱爱都有一种特别的感觉!她在浴室中的表现让人印象深刻,温暖的水流结合她柔软的动作,让人不禁沉浸其中。,好几次都能让弟弟立正!进入正戏时,让人感到极为舒适和满足,彼此配合得很好。事后抱着她,闻着她身上淡淡的香味,仿佛陷入了甜美的梦境。事后更是让人意犹未尽,老…
❤4😐1
开课啦
😐1
今天还有位置哦
👎4❤2😐1
Showing the 12 most recent of 20 posts we hold for @yy1680213. 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.
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
@yy1680213 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 3 posts, 26 August 2026 – 26 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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“苏州富豪大哥们” (@yy1680213), 3,329 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/yy1680213.
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.