Telegram RegisterThe public register of Telegram
Telegram profile photo for 杭州基金会报告区

Channel

杭州基金会报告区

@hzjjh_report

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

13,694subscribers

+1,148 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-1003616228092
TypeChannel
Username@hzjjh_report
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/hzjjh_report

Growth

12,54613,69413,1206 August 2026 — 12,546 subscribers7 August 2026 — 12,616 subscribers8 August 2026 — 12,725 subscribers9 August 2026 — 12,762 subscribers11 August 2026 — 12,883 subscribers12 August 2026 — 12,990 subscribers13 August 2026 — 13,091 subscribers14 August 2026 — 13,246 subscribers16 August 2026 — 13,412 subscribers17 August 2026 — 13,591 subscribers18 August 2026 — 13,694 subscribers6 August 202618 August 2026
11 measurements spanning 12 days, net +1,148. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 12,374–13,866 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 10:0313,694+103
17 Aug 2026, 12:0413,591+179
16 Aug 2026, 04:0613,412+166
14 Aug 2026, 17:3813,246+155
13 Aug 2026, 08:5313,091+101
12 Aug 2026, 05:3912,990+107
11 Aug 2026, 03:1112,883+121
9 Aug 2026, 23:3512,762+37
8 Aug 2026, 23:3012,725+109
7 Aug 2026, 20:1012,616+70
6 Aug 2026, 21:0212,546first reading

Engagement

70 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.91%
avg views ÷ 13,694 subscribers
Avg views / post
262
70 posts measured
Reaction rate
0.301%
reactions ÷ views · ER floor
Posts in window
70
of 70 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 7 of 70 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 August 2026
Posts held70 (1 August 202618 August 2026)
Views total18,337
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 07:24 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

6 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 7 of the 70 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 70 most recent posts we hold, published 1 August 2026 to 18 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

18 Aug 2026, 06:37 UTC70 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:9.4分﹣超级好评 【出击时间】:8月18日 【老师花名】:#灵灵 @HJB099999 【出击留名】:RD 【开课位置】:东站附近 【修车水费】:工兵p 【人照评分】:人照一致,9.5分颜值 【颜值评分】:照片是本人,本人更好看 【身材评分】:1.65身高左右,无敌好身材,细支硕果水柳腰 【服务评分】:9分,嫩妹谈不上什么服务,不太会口,但是努力服务了 【态度评分】:很听话,提的要求不过分老师都满足,态度ok 【环境评分】:小区,干净整洁 【综合评分】:9.4分 杨柳细腰+D大灯,除了不能舌吻没有缺点 【过程描述】: #环境卫生: 课室很干净卫生,公寓,基本用品都有 #老师优缺点: 颜值高,服务配合,杨柳细腰+D大灯,除了不能舌吻没有缺点 #硬件软件: 杨柳细腰+D大灯,高颜值的18岁嫩妹,硬件满分。 #流程细节: 妈妈

18 Aug 2026, 05:46 UTC45 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-18 【老师花名】:杭州上城静静泰式抓龙筋 【出击留名】:匿名 【开课位置】:东站附近 【修车水费】:799 【人照评分】:8 【颜值评分】:9 【身材评分】:9 【服务评分】:9 【态度评分】:9 【环境评分】:9 【综合评分】:8.83 【过程描述】: #环境卫生: 停车不方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点: 手法非常专业,要求都满足了 #硬件软件: 人照相似程度高,颜值良好、气质良好、黑色小黑裙线条感很好 #流程细节:初见老师 静静老师本人和照片一样漂亮,刚进门就热情的递上来一瓶水,服务态度很好,也很健聊,看到本人居然比照片好看很多本人超温柔的,而且是身材很棒小腰大🐻,,体验过程很愉悦,手法是很不错的,细节做的很到位贴心,难怪回头客多,体验前高的时候开始会有

18 Aug 2026, 01:05 UTC82 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-18 【老师花名】:小咩咩 【出击留名】:下次丕定(6) 【开课位置】:石桥 【修车水费】:竞拍半价 【人照评分】:10 【颜值评分】:7 【身材评分】:8 【服务评分】:7 【态度评分】:7 【环境评分】:5 【综合评分】:7.33 【过程描述】: #环境卫生: 客厅比较乱和脏 有一次性浴巾牙刷 #老师优缺点: 开课准时,排课宽松,课时做完,服务到位,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 照片就是本人 一米六左右 九十斤 胸B+ 黄皮 18岁 肩膀有小处纹身 瘦又有肉 而且还q弹 腰细 屁股有肉 #流程细节: 竞拍拿到的,一进门发现和照片一模一样,进门就交了水费,然后抽了根烟坐着聊天。然后就去洗澡,老师没有主动陪浴,但事后有帮忙擦。然后完我都躺床上了,老师还在摆弄手机,我提醒

18 Aug 2026, 01:00 UTC69 viewsread 18 August 2026

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月17日 【老师花名】:#悠悠 @ybty1111 【出击留名】:@intrystin 【开课位置】:上城 【修车水费】:工pp 【人照评分】:8分 【颜值评分】:8分 【身材评分】:8分 【服务评分】:8分 【态度评分】:9分 【环境评分】:8分 【综合评分】:8分 【过程描述】: #环境卫生: 地方不好找,房间整洁 有一次性浴巾,有漱口水 #老师优缺点: 排课宽松,课时做完,嫩妹服务,比较活泼,无少做、催课,过程无机车,配合,听话。缺点是不让亲,做爱不叫,就憋着。 #硬件软件: 人照基本一致,本人 是微胖,颜值还不错。精神小妹来的,胸一只手,手感好,屁股大。看起来很耐c,但是实际有点脆皮 #流程细节: 因为ls是代聊,先吐槽一下代聊回消息不及时啊,而

17 Aug 2026, 12:47 UTC323 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-17 【老师花名】:蓓蓓 【出击留名】:西门大官人 【开课位置】:新天地附近小区 【修车水费】:竞拍p 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:9 【态度评分】:10 【环境评分】:9 【综合评分】:9.17 【过程描述】: #环境卫生: 停车方便,小区无门禁,无梯控,有准备一次性浴巾,漱口水,还加了小零食 #老师优缺点: 开课准时,最近蓓蓓每天只接两三个课余时间相当宽松,无催课,时间充足 #硬件软件: 人照相似9分,基本无差,而且是冷白皮,b杯八字奶,右臂纹身,小腹 微纹身,165左右,88斤 #流程细节: 也是竞拍全力以赴拿下了蓓蓓,蓓蓓刚好姨妈,一直等她开课了,约好了时间,蓓蓓依旧漂亮,用标志性的烟嗓向我打招呼,看到了屋子里还新加了点小零食,越来越周到了,一起洗澡

17 Aug 2026, 11:43 UTC113 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-17 【老师花名】:纯纯 【出击留名】:Homelander 【开课位置】:上城 【修车水费】:竞拍半价 【人照评分】:8 【颜值评分】:9 【身材评分】:9 【服务评分】:7 【态度评分】:8 【环境评分】:8 【综合评分】:8.17 【过程描述】: #环境卫生: 停车不方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 人照相似程度高,颜值良好、气质良好、穿搭良好 萝莉身高腿长,纹身没有,皮肤手感良好 #流程细节: 前日晚上偶然上线,发现新上一个竞拍,有点点意外,点进频道视奸,发现居然有大奶,大家是了解我的,我祖国人就是喜欢大奶,提前私信老师获悉课室是小区。这下我必须出手了,果然拿下

17 Aug 2026, 02:40 UTC149 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-16 【老师花名】:玥瑶 【出击留名】:阿炜( 【开课位置】:东站附近 【修车水费】:竞拍+基金券报销 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:10 【综合评分】:9.5 【过程描述】: #环境卫生: 停车方便,房间真的很整洁干净 有一次性浴巾、漱口水 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,不少做、不催课、不机车。 #硬件软件: 人照基本一致! #流程细节: 之前问95推荐,一直被推荐玥瑶,这次有机会拿下竞拍,终于一探究竟!见面就知道没来错,人照合一,大C车灯,衣领又低,甚是吸睛啊!又是嘘寒问暖,又递上消毒拖鞋,太体贴了。闲聊几句一起去洗澡,全程不用自己动手,很舒服。擦干后回床上开始接受服务,课表上的内容都有

16 Aug 2026, 14:25 UTC149 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月05日 【老师花名】:#临平 @LL9921 【出击留名】:舞小 【开课位置】: 【修车水费】:工兵p 【人照评分】:8.5分 【颜值评分】:8分 【身材评分】:8分 【服务评分】:9.3分 【态度评分】:9.2分 【环境评分】:8.5分 【综合评分】:8.5分 【过程描述】: #环境卫生: 停车方便,小区停车免费。房间整洁 有一次性浴巾,无漱口水或一次性牙刷 #老师优缺点:课时做完 服务到位,无少做、催课。特色是按摩时间比较久 #硬件软件: 目视年纪偏大30多,微胖有肚子 身高腿长160左右,但是这个价格还挑啥呢,享受服务就行 #流程细节: 1.背景 正是可以出击的时间,看见上了新人。突出一个性价比,便宜。 2.前言 约课顺畅,虽然

16 Aug 2026, 12:46 UTC126 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-16 【老师花名】:亚轩 【出击留名】:匿名 【开课位置】:拱墅 【修车水费】: 【人照评分】:10 【颜值评分】:10 【身材评分】:10 【服务评分】:10 【态度评分】:10 【环境评分】:10 【综合评分】:10 【过程描述】: 身材完美,态度完美,制服高跟超级多,说话也好听,房间两个大镜子,360度无死角,房间环境也超级好 #环境卫生: 停车是否方便,房间是否整洁 有无一次性浴巾,有无漱口水或一次性牙刷 #老师优缺点: 开课是否准时,排课是否宽松,课时是否做完 服务是否到位,有无少做、催课,过程有无机车,做爱反馈是否真实 #硬件软件: 人照相似程度,颜值、气质、穿搭 身高腿长,纹身大小,皮肤手感 #流程细节: #总结评价:

16 Aug 2026, 12:45 UTC123 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月16日 【老师花名】:#芷芷 @zhizanm 【出击留名】:寺川川 【开课位置】:余杭 【修车水费】:工兵p 【人照评分】:8 【颜值评分】:8 【身材评分】:8分 【服务评分】:8分 【态度评分】:8分 【环境评分】:8分 【综合评分】:8分 【过程描述】:刚好今天休息,闲来无事就在群里聊聊天,然后看一看有没有可以出击的,刚好看到附近有一个工兵,报名以后约好了时间,这个小区是一个拆迁的小区,可惜就是一个AB套上楼的时候,旁边的大爷为了省空调费都不关门。有点心惊胆颤的带着和外的一种刺激。进门的时候是看到一个气质小少妇,差不多说交完水费准备开始,洗漱过程是全自动的不用自己动手。洗完之后开始躺在床上享受甜蜜蜜服务。苟活不错,没有齿感。过了一会儿

16 Aug 2026, 05:52 UTC154 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-16 【老师花名】:兔兔 【出击留名】:shuyan 【开课位置】:九堡 【修车水费】:400p工兵 【人照评分】:8 【颜值评分】:8 【身材评分】:8 【服务评分】:7 【态度评分】:7 【环境评分】:9 【综合评分】:7.83 【过程描述】: 老师新开课,优缺点都非常明显。 优点是长相蛮漂亮,身材也还可以,房间环境很干净。 缺点就是新下水,服务一般,口的有齿感,人也有点高冷,配合度一般。 老师本人气质不错,有一点御姐的感觉,不是嫩妹,穿着红色裙子,刚进门看到我的j就硬了。 然后就是洗浴,老师给洗了下面。 然后就是上床服务,简单来了嫩妹三件套,老师服务也还可以,就是技艺不太熟,还需要ly们开发

16 Aug 2026, 05:34 UTC143 viewsread 18 August 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-16 【老师花名】:@hzxlt666666 【出击留名】:mario 【开课位置】:拱墅 【修车水费】:1000p 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:10 【综合评分】:9.5 【过程描述】: #环境卫生: 工作室高大上,环境清幽雅致,很私密的个人空间,一次性用品管够,这边很注重卫生环境,清清爽爽,一课一换 #优缺点: 丽莎老师很有亲和力,高挑的身材,大长腿,进门递水,招呼坐下,笑起来浅浅的酒窝,就像回家的感觉,放在老师圈,这硬件配置1000以内乱杀 用心做好服务,服务意识很强,没有催客赶客行为,仿佛回到了高级会所里面 #硬件软件: 手法和颜值担当,颜值好看,气质到位,身材高挑,大长腿御姐范儿,八面玲珑的职场ol风 个子高

Showing the 12 most recent of 70 posts we hold for @hzjjh_report. 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 — 407,929 of 1,549,704entries 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

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.

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 August 2026 — this entry's latest reading, not the date you are reading this.

“杭州基金会报告区” (@hzjjh_report), 13,694 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/hzjjh_report.

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.