苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-30 老师:#小葵 留名:如若 ---【👙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 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:因为vpn的问题导致迟到了一会儿,到达房间后小葵也没有表现出一点不耐烦,正常陪洗完去到主战场,小葵口的非常认真不敷衍,在舌钉的加持下也是有一种非同寻常的体验感。小葵的女上也是很认真很持久,不像某些嫩妹女上几下就说累了,接下来的各种姿势也是很配合,最终成功出货。整个过程中小葵都是非常敬业,即使累出了一身汗还是坚持配合我出货。 【优点】:顶美长相 服务用心 【建议/缺点】:无 【个人评价总结】:力荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

Channel
硬了么参考报告
@SZZZJreport
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
24,131subscribers
+1,465 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002530265465 |
|---|---|
| Type | Channel |
| Username | @SZZZJreport |
| Description | 所有报告都带有一定主观性,难免掺杂个人情绪与喜好。 别人觉得好,不代表一定适合你;别人觉得差,也未必真的差。 部分好评可能存在刻意包装或刷评行为; 部分差评也可能源于个人诉求未被满足后的情绪发泄。 因此无论好评还是差评,都可能会对优点或缺点有所放大。 希望大家理性参考、文明出击,如实反馈。 报告仅供参考,具体体验请自行判断。 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头,切勿来都来了 硬了么不敢承诺零踩雷,但我们一直在做的,就是尽量让你在百人斩的途中,99次都能安全下车。 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/SZZZJreport |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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, 00:36 | 24,131 | +126 |
| 19 Sept 2026, 08:39 | 24,005 | +57 |
| 16 Sept 2026, 19:36 | 23,948 | +60 |
| 14 Sept 2026, 18:57 | 23,888 | +83 |
| 13 Sept 2026, 05:19 | 23,805 | +36 |
| 11 Sept 2026, 07:37 | 23,769 | +69 |
| 8 Sept 2026, 14:22 | 23,700 | +94 |
| 5 Sept 2026, 07:39 | 23,606 | +30 |
| 3 Sept 2026, 10:13 | 23,576 | +31 |
| 2 Sept 2026, 03:52 | 23,545 | +36 |
| 1 Sept 2026, 05:25 | 23,509 | +12 |
| 31 Aug 2026, 06:55 | 23,497 | +15 |
| 30 Aug 2026, 04:28 | 23,482 | +12 |
| 29 Aug 2026, 05:34 | 23,470 | +24 |
| 28 Aug 2026, 08:15 | 23,446 | +45 |
| 27 Aug 2026, 09:56 | 23,401 | +28 |
| 26 Aug 2026, 10:46 | 23,373 | +26 |
| 25 Aug 2026, 13:42 | 23,347 | +17 |
| 24 Aug 2026, 13:49 | 23,330 | +54 |
| 22 Aug 2026, 18:08 | 23,276 | first reading |
Engagement
804 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 66 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.12%
- avg views ÷ 24,131 subscribers
- Avg views / post
- 269
- 182 posts measured
- Reaction rate
- 0.263%
- reactions ÷ views · ER floor
- Posts in window
- 182
- of 804 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 40 of 182 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 804 (5 August 2026 – 29 September 2026) |
| Views total | 49,014 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 19:17 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
- ≈8,900
- Videos
- ≈5
- Links
- ≈10,700
Lifetime counters from Telegram’s own channel header, read 29 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
- 35s
- Average length
- 35s
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
143 reactions across 113 posts, in 2 distinct kinds. The most used accounts for 97.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 139 | 97.2% | |
| 👏 | 4 | 2.80% |
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 166 of the 804 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 143 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 804 most recent posts we hold, published 5 August 2026 to 29 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
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#可可 留名:球球 ---【👙整体形象】--- 人照差别:7.5 身材比例:8 气质魅力:7 ---【👧🏻服务质量】--- 服务水平:7.5 配合态度:9 舒适度:8.5 整场综合评分:7.92 ---【📝服务详情】--- 【过程描述】:无意中刷到老师的频道 里面发了个戴面罩口的视频 非常魅惑 然后今天下午有发了几个小视频 其中还有三人作战的 这我哪见过这场面 直接勾引的人一天上班都没有办法专心工作 果断约了晚上一节 小区很好找 门口马路上停车非常方便 开门以后 人照差距不大 考虑有美颜效果没有照片那么白 然后灯光比较昏暗的情况下能感受到脸蛋的精致 然后穿的是那种露的非常少的情趣吊带 让她换了一套我喜欢的那么薄纱的蕾丝制服 然后正常洗澡进科室 床上已经铺好了一次性床单 态度非常好 也很爱笑 然后让她换上了视频里面的那个有红色爱心的面罩帮我口 戴…
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#妹美 留名:夜罗刹 ---【👙整体形象】--- 人照差别:8 身材比例:8 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:8 配合态度:9 舒适度:8.8 整场综合评分:8.47 ---【📝服务详情】--- 【过程描述】:进门看见小姐姐的时候瞬间被惊住了,本人蛮漂亮,皮肤很白很精致。面带微笑,一身瑜伽服凹凸有感,大长腿特别有诱惑力,马上交费,洗澡前,小姐姐还过来帮我脱衣,这态度好的真的没法说。边洗边摸边调戏,还打我屁股,舒服很热情点都不冷场尴尬,洗得也很仔细,小弟弟早就绑绑硬了,洗完澡上床,开始服务,先是进行舔咪咪、口、吸蛋,口技还不错,口的时候手还在游龙戏凤,很舒服。口的技术挺好的,完全没有齿感,马上带上套套先女上,随后换了传教,还试了一下后入,最后一起洗澡 【优点】:有饮料 【建议/缺点】:没有 【个人评价总结】:推荐 ❤️ 硬了…
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#小鹿 留名:蓄意 ---【👙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】:老师很活泼热情,各种姿势都很配合,躺着爽,老师最喜欢女上,女上小桩机,教室里有一面大镜子,对着镜子把老师抱起来草特别有画面感,过来无脑爽就完事了! 【优点】:🐍管饱,热情,骚 【建议/缺点】:胸是硬伤😂 【个人评价总结】:力荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#敏敏 留名:X -man ---【👙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 配合态度:9.3 舒适度:9 整场综合评分:9.05 ---【📝服务详情】--- 【过程描述】:按照约定好的时间,准点到达老师所在公寓,根据老师信息进入教室。 老师看起来很年轻,身材匀称。老师是个云南妹子,不过皮肤挺白的,不像其它有些云南老师那样皮肤黑黄。老师也很热情,于是主动缴费,洗完澡上床。 老师舌吻管饱,奶子B,比较挺,比较嫩,很好舔。小穴也是粉粉的,没有异味,跟老师69互舔,老师被舔的一抖一抖的。鸡吧硬的不行,于是戴套开始啪,先是传教,边吃奶边抽插,然后换后入,老师屁股翘的高,姿势很性感,最后女上,看着老师的奶子在上面晃来晃去,摸着老师平坦的小腹,一阵快感就顺利出货了。 【优点】:身材匀称 可舌…
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#莯莯 留名:jjohn ---【👙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】:约课之路历经坎坷之前一直约然后一直没约到,ls回海南了十分可惜,这次ls回来约又红休了。今天看到频道开课直接预约尾课,提前一小时准时出发,导航到位置有个停车场直接遥控上楼,公寓位置还算安全,进房间短头发很漂亮,交完水费在沙发抽根烟开始洗澡,陪浴水中萧很贴心。ls说话声音软软的,洗完擦完到了房间老师换了个攻速套装开始按摩然后吸皮毒龙,期间一直会和你聊天。翻身开始口这个时候可以69但是我忘记了。喊停之后直接带套,先是女上过了一会翻身上马传教士最后后入,中间骚话不断,321出货洗澡抽烟聊天结束走人 【优点】:…
【苏州硬了么工兵专用报告模板】 【基础信息】: 老师昵称:#芊芊 出鸡时间:9月29日 出鸡地址: 吴中区(防止老师住址暴露,写区就行) 出鸡学生:98 服务类别:95/98/sm/水磨(如果不在选项内自行填写) 【整体形象】: 年龄:(目测就行)22 颜值:(与照片视频相似度,10分制)9 人照:9(和招募/竞拍照片几分相似?) 体态:曲线饱满(纤细 / 匀称 / 微肉(如轻微小肚)/ 曲线饱满 / 微胖 / 偏胖 / 肥胖) 是否有纹身:(无 / 有,位置可备注)无 肤色类型:(冷白皮/浅黄皮/小麦色/黑/黝黑)浅黄 皮肤整体状态:(细腻/光滑/一般/粗糙等) 【服务质量】: 口渴关怀:(有小饮料/没有)没有问 氛围控制:(躺着爽/自己动手/两者皆可)两者皆可 配合程度:随意(随意/听话/不耐烦) 安全程度:(正常小区/酒店/民宿/公寓/商业楼)正常小区 服务内容:(与课表相比有无增漏或者老师有什么没写上去的)可以玩剧…
❤1
【苏州硬了么工兵专用报告模板】 【基础信息】: 老师昵称:#布丁 出鸡时间:2026-9-29 出鸡地址: 吴中 (防止老师住址暴露,写区就行) 出鸡学生:风景 服务类别:98大项 【整体形象】: 年龄:24(目测就行) 颜值:9(与照片视频相似度,10分制) 人照:老师可能不会拍照,本人感觉好看一点(和招募/竞拍照片几分相似?) 体态:微胖bbw类型(纤细 / 匀称 / 微肉(如轻微小肚)/ 曲线饱满 / 微胖 / 偏胖 / 肥胖) 是否有纹身:无(无 / 有,位置可备注) 肤色类型:浅黄皮(冷白皮/浅黄皮/小麦色/黑/黝黑) 皮肤整体状态:光滑(细腻/光滑/一般/粗糙等) 【服务质量】: 口渴关怀:进门老师拿了水(有小饮料/没有) 氛围控制:躺着爽(躺着爽/自己动手/两者皆可) 配合程度:听话(随意/听话/不耐烦) 安全程度:正常小区(正常小区/酒店/民宿/公寓/商业楼) 服务内容:和课表一致,老师还有水中箫(与课表相比…
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#白桃 留名:ShawnShi ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9.5 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:老师遥控上楼,然后给我开门在门口接我。科室位置很好找,也很安全,在小区里。科室挺大的,而且很整洁,老师卫生打扫的很干净。进门交水费换拖鞋,简单冲一下老师帮忙擦干然后进房间。今天约了pp,很激动想要大干一番。从衣柜里好多件小衣服里选了一套最喜欢的让老师换上。躺在床上,有一次性床单,床很大也很软,让人放松下来。老师先从背面开始服务过水吸皮,大胸又滑又软,身体酥酥麻麻起来,渐渐地燥热;撅起屁股开始毒龙,小舌头软软糯糯,真舌深入,我一阵酥麻。紧接着开始正面戴上小帽子,老师坐在身上,很热很湿都没用润滑,前面,…
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#肉肉 留名:石大大 ---【👙整体形象】--- 人照差别:8 身材比例:8 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:8.5 整场综合评分:8.58 ---【📝服务详情】--- 【过程描述】:到地方了老师会下楼专门接受课室环境安全感进门验货实打实的bbw 身上肉感十足摸上去手感ok 【优点】:bbw 【建议/缺点】:bbw 【个人评价总结】:推荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang
苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-29 老师:#敏敏 留名:Light ---【👙整体形象】--- 人照差别:8 身材比例:9 气质魅力:6 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:9 整场综合评分:8.33 ---【📝服务详情】--- 【过程描述】:下午约的不是第一个客户,上去直接给我留了门,可以陪与,动作有点生疏,配合度不错 【优点】:配合度高,主动清洁 【建议/缺点】:无 【个人评价总结】:比较推荐,年亲的生体比较有活力 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang
【苏州硬了么工兵专用报告模板】 【基础信息】: 老师昵称:#兔子 榜单链接:(请勿修改本行) 出鸡时间:2026-9-29 出鸡地址: 吴中石湖畔(防止老师住址暴露,写区就行) 出鸡学生:马赫 服务类别:98(如果不在选项内自行填写) 【整体形象】: 年龄:22-25(目测就行) 颜值:8(与照片视频相似度,10分制) 人照:8.5(和招募/竞拍照片几分相似?) 体态:微肉(纤细 / 匀称 / 微肉(如轻微小肚)/ 曲线饱满 / 微胖 / 偏胖 / 肥胖) 是否有纹身:(无 / 有,位置可备注) 肤色类型:冷白皮(冷白皮/浅黄皮/小麦色/黑/黝黑) 皮肤整体状态:光滑(细腻/光滑/一般/粗糙等) 【服务质量】: 口渴关怀:有(有小饮料/没有) 氛围控制:两者皆可(躺着爽/自己动手/两者皆可) 配合程度:听话(随意/听话/不耐烦) 安全程度:正常小区(正常小区/酒店/民宿/公寓/商业楼) 服务内容:与课表一致(与课表相比有无…
Showing the 12 most recent of 804 posts we hold for @SZZZJreport. 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.
Posts edited after publishing
@SZZZJreport edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 13 August 2026
- Most recent edit
- 29 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@beibeibaogao232366 · 514 posts毛毛的小房子🙈
@maomao07070707 · 2392 posts肉肉好软
@rourouhaoruan1 · 1242 posts十二的小花园
@shierainiyo · 1,5092 posts小禾的小屋🏠
@xiaohe0068 · 2352 posts小糯频道
@XNxiaonuo1 · 1051 post静禾的频道
@lian103423 · 2511 post蕴柔·SPA老师频道
@qinlanSPA · 1,1581 post苏州白金翰报告榜
@suzhoubaijinhan · 2,8991 post苏州白金翰spa全裸5推
@suzhoubaijinhang · 40,6741 post小柔的大哥们
@xr1820 · 2,8711 post
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 4 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“硬了么参考报告” (@SZZZJreport), 24,131 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/SZZZJreport.
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.