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Channel

开工发布 🅜 山东济南

@kaigongo

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

18,211subscribers

+264 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002052537642
TypeChannel
Username@kaigongo
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live5 September 2026
Measurements held16
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/kaigongo

Growth

17,94718,21118,07919 August 2026 — 17,947 subscribers19 August 2026 — 17,947 subscribers21 August 2026 — 17,969 subscribers22 August 2026 — 17,990 subscribers24 August 2026 — 18,019 subscribers25 August 2026 — 18,047 subscribers26 August 2026 — 18,075 subscribers27 August 2026 — 18,096 subscribers28 August 2026 — 18,112 subscribers29 August 2026 — 18,131 subscribers30 August 2026 — 18,113 subscribers31 August 2026 — 18,115 subscribers1 September 2026 — 18,151 subscribers2 September 2026 — 18,167 subscribers3 September 2026 — 18,163 subscribers5 September 2026 — 18,211 subscribers19 August 20265 September 2026
16 measurements spanning 16 days, net +264. 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 17,907–18,251 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Sept 2026, 09:5918,211+48
3 Sept 2026, 10:4618,163-4
2 Sept 2026, 05:5718,167+16
1 Sept 2026, 09:0418,151+36
31 Aug 2026, 07:2718,115+2
30 Aug 2026, 05:2518,113-18
29 Aug 2026, 05:0418,131+19
28 Aug 2026, 07:1518,112+16
27 Aug 2026, 09:5818,096+21
26 Aug 2026, 12:5218,075+28
25 Aug 2026, 11:4818,047+28
24 Aug 2026, 12:0818,019+29
22 Aug 2026, 16:1217,990+21
21 Aug 2026, 05:3517,969+22
19 Aug 2026, 23:0017,947no change
19 Aug 2026, 22:4517,947first reading

Engagement

23 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.20%
avg views ÷ 18,211 subscribers
Avg views / post
1,490
8 posts measured
Reaction rate
0.117%
reactions ÷ views · ER floor
Posts in window
8
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held23 (12 July 20262 September 2026)
Views total11,949
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:55 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
10s
Average length
10s

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

81 reactions across 23 posts, in 2 distinct kinds. The most used accounts for 98.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8098.8%
👍11.23%

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 23 of the 23 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 81 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 12 July 2026 to 2 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

2 Sept 2026, 14:13 UTC330 views1 reactionsread 3 September 2026
Forwarded from @ShandongALLPhoto

#YES #群友投稿 #济南 #山东 @ShandongALL 看到女搓来新人了想着试试新人,头课不知道被哪个大吊约走了,无奈只能等最快的时间,到地方遥控上楼,球球开门也是一身黑丝透明情趣装,终于知道为啥叫球球了,胸前两个大雷确实不小,引领进屋交完水费,脱衣服躺到水床上球球开始给我搓澡,很细致,很仔细,掏裆手法了得,差点给我在床上秒了,完事会主动帮忙擦身体,来到按摩床上,那调情也是一绝,尤其是胸推的时候两个大雷太有感觉了,屁股做的也很细致,正面调情结束后我手捧大雷和摸着花园中出货, 总结:大雷不小,大雷形状也好,皮肤很光滑,服务很到位,花园很软,能轻轻的抚摸。350的这个价格必须回锅。 via 匿名 资源关键词:女搓手推 🔜 >>>点击获取 .

1

31 Aug 2026, 10:11 UTC709 views1 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 04处男第一次,约的是小雨老师,到地儿遥控上楼,被老师领进房间,拘谨的不知道干什么,听老师指令脱衣服冲澡,冲完澡出来弟弟已经立正了,面付完后老师立马进入状态(我还在迷茫),让我站到老师面前随即让我跪下,我愣了两秒听从小雨的指令,老师开始用脚轻抚我的dd,丝袜特别滑,我都不敢抬头看小雨,低着头看小雨的脚在玩弄我的dd,随后小雨老师让我俯下身去舔老师的脚(不亏是前辈说的话我根本无从抵抗只有顺从),随后我开始吮吸老师的丝足,老师问我“什么味道呀”“好不好吃”我是个诚实的孩子,其实一点味道都没有尝出来。 随后老师让我躺下,问我喜欢什么,沟通一番后决定从轻度项目开始进行(但我dd告诉我想要被榨精)于是告诉老师想法,随后我两腿打开,老师左手开始安抚我的dd,右手逐渐突破我的屁股。 我正沉浸在极致的爽感中,突然一个圆润的硬滑物体突破了我菊花的阻拦,随即开始震动,老师的左手频率也开

1

22 Aug 2026, 06:13 UTC≈1,600 views1 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【时间】:2026-08-21 【老师】:疗愈女搓萱萱 【留名】:zkilz 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 和客服约了萱萱,到位置遥控上楼,萱萱很苗条,属于小巧伊人的那种,脱衣服引领到水床上躺下开始打湿全身涂抹沐浴露过程干货拉满,中途差点射了,完事给擦干净全身换到按摩床开始柔式调情情绪拉满,尤其是崛起屁股做腹股沟的那种阵阵酥麻的感觉,手法太细腻了,太到位了,最后再摸着萱萱小花园的两片肉肉出货,很新颖,比常规的92舒服太多了,情绪价值拉满,而且不催钟,满钟,太香太顶了。 via 匿名 资源关键词:女搓手推 🔜 >>>点击获取 .

1

17 Aug 2026, 22:26 UTC≈1,980 views2 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 一直很喜欢女人的脚,比较恋足,看群里的老哥们每天都在讨论,决定尝试一下,和小雨老师约好时间,到达目的地遥控上楼,小雨老师开门的一瞬间就被吸引住了,黑色大长腿,黑高跟,百褶裙,白衬衫,这气质无敌了,小雨引导着进屋简单冲洗了一下,出来的时候小雨老师已经做到沙发上等我了,本人不是m和小雨老师提前说了,小雨让我躺下开始用高跟鞋轻轻的踩我小鸡和乳头,平时都是看片,没想到今天自己也当上男主角了,脱下老师的高跟鞋,捧着玉足先来了一个史诗级过肺,随后就是一顿猛舔狂舔,两只脚都占满了我的口水,随后小雨老师开始给我足交,这玉足太灵活了,太爽了,而且小雨老师的脚很嫩,凉凉的玉足碰上我这火热的小鸡,太舒服了,足交技术很好,足射了,小雨老师冲洗了一下,我也简单冲洗了一下,正好碰到一位老师,小雨说那是小溪老师,而且和我说可以双主,当时脑子里光想着小溪老师的大屁股了决定增加一点强度,决定试试,休

2

17 Aug 2026, 11:53 UTC≈1,820 views2 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【老师名字】:多米 【验证人员】:风 【颜值评分】:(1~10分)10 【身材评分】:(1~10分)10 【手法专业】:(1~10分)10 【服务态度】:(1~10分)10 【消费金额】:898 【前高次数】:1 【潮喷成功】:否 【项目体验感受】:老师颜值很高,手法很好,聊天不冷场,推油很舒服很到位,之前没试过前高,被老师直接插入,感受很不一样,没试过可以尝试一下,总得来说好评满分 via 匿名 资源关键词:青养堂抓龙筋 🔜 >>>点击获取 .

2

16 Aug 2026, 01:57 UTC≈1,760 views3 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 关注足交sm好久了看群里兄弟们每天在探讨终于忍不住决定尝试一下,约的小雨老师,到地道老师给发位置上楼,教室很大,很私密,开门被小雨老师的颜值给惊艳到了,很美,我比较喜欢足交和想体验一下轻微的调教,小雨很温柔,懂得一步一步的引导,冲洗了一下躺到沙发前边小雨就开始用脚挑逗我,现实中第一次体验,之前一直都是看片,现在自己身临其境了,太刺激了,轻轻的抓着小雨的脚舔了一会很嫩很美味,小雨另外一只脚挑逗着我的小弟弟,舔的心满意,小雨开始足交我,小雨的脚太灵活了,两分钟就被小雨老师的脚给秒了,完事休息了一下,简单冲洗,和小雨聊了一会,看群里大哥们都说前高我也想体验(此生最爽的来了)小雨让我躺到专门的一个椅子上打开一个灯,那个氛围一下上来了,带上医用手套,开始慢慢的捅我前列腺,一分钟吧我彻底放松下来,小雨老师开始加快她顶的速度,握草过电一样大脑都空了,而且是一阵一阵不停的放空感觉,

2👍1

14 Aug 2026, 07:45 UTC≈1,740 views1 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 本狼应该是第四五次找仙仙sm了,找不到电话号了,幸亏还在这个群里。仙仙姐的魅力十足啊,我是那种在外面啪啪2分钟穿衣服1分钟就走的人,有点生理性对啪啪不感冒了,去年找过仙仙几次就出国了暑假回来还能找到,真幸运。这次见面不得不说仙姐又漂亮了,虽然浓妆艳抹,但皮肤很好还瘦了苗条了。有种老情人久别重逢的感觉,仙仙也记得我,问清楚我这次想尝试啥之后,就洗澡进榻榻米房间,,,,多的就不说了,属于隐私了,哈哈,仙仙作为女王的掌控力,对g点的控制力是极好的,而且说话声音特别有女人味好听,全程不冷场,仙仙区别于别的女王,她是不拿这个当工作的,流程似的,她是真喜欢这个,这个感受是真不一样,全程很开心放松。完全满足我希望的一个女人该有的样子。能让我纵欲一小时说实话真是上天对我的宽容了,真好。喜欢和想尝试被动的彻底放松的推荐仙仙sm。 via 匿名 资源关键词:仙仙SM 🔜 >>>点

1

10 Aug 2026, 02:00 UTC≈2,010 views3 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 三刷女搓,还是约好时间,到达位置,遥控上楼这次找的萱萱,一身黑色蕾丝短裙,身材很苗条属于那种小鸟依人类型的,引导脱衣服躺到里面的搓澡床上服务的很认真,刺激感拉满,不管正面还是背面全部照顾到位,尤其是掏屁股沟的时候很爽,随后来到按摩床上背面调情完事之后让我撅起屁股菊花那爽感阵阵来袭,菊花还有那指划蛋蛋,不麻都不行,牛子搞得棒棒硬,正面的时候也是各种指划,各种磨,来到最后双手涂满精油双手上下叠加,摸着花园抓着奶子激情发射。这体验牛子从头硬到最后,体验感拉满,性价比之王。 via 神 资源关键词:女搓手推 🔜 >>>点击获取 .

3

7 Aug 2026, 23:18 UTC≈2,130 views4 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【老师名字】:多米 【验证人员】: 【颜值评分】:9 【身材评分】:10 【手法专业】:10 【服务态度】:10 【消费金额】:1200 【前高次数】:1 【潮喷成功】:否 【项目体验感受】:只能说太牛逼了,我无法形容,全程一直大脑空白,只有舒服和刺激,话不多说,就是牛逼 via 匿名 资源关键词:青养堂抓龙筋 🔜 >>>点击获取 .

4

4 Aug 2026, 03:22 UTC≈3,280 views1 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【老师名字】:多米 【验证人员】:MJoe 【颜值评分】:10 【身材评分】:10 【手法专业】:10 【服务态度】:10 【消费金额】:1200 【前高次数】:0(没让老师做这个) 【潮喷成功】:否 【项目体验感受】:自从试过抓龙筋后就对这个比较中意,这次来济南看到了想体验一下。一进门看到小姐姐就被惊艳到了,小姐姐本人要比照片更年轻,颜值也是非常能打,属于很好看也很耐看的类型,服务过程也非常不错,小姐姐很健谈,去的时候看起来心情不错,时不时会哼哼两首歌,蛮可爱的,但是不要被她外表所欺骗,因为她会在言语上挑逗你,行为上调教你,所以喜欢当M的真的有福了,最后走的时候,还主动的屁颠屁颠跑来帮忙开门,蛮有意思的哈哈,已经开始期待下次了。 via 匿名 资源关键词:青养堂抓龙筋 🔜 >>>点击获取 .

1

4 Aug 2026, 03:21 UTC≈2,790 views5 reactionsread 3 September 2026
Forwarded from @ShandongALLVideo

#YES #群友投稿 #济南 #山东 @ShandongALL 妹妹名字:小小 我是比较喜欢嫩妹的,昨天偶然刷到新开业的小陈修车,果断约了时间,开始了我的cj之路。 ls是在印象城,进出方便,也能停车,位置还是蛮好找的,初见ls小小一只,穿着一身碎花裙好可爱,真人比照片更耐看,纯然天成的嫩,果断交了水费。 褪去衣物,微观ls白皮,🐻B杯,竟然还是无毛毛,给了我大大惊喜,随即一起yyy,洗浴位置较小,大高个的ly需要注意,酒店式的好像都是这样,有一次性毛巾出来ls细心檫干,来到床上迫不及待先sw,知道我的都知道其实我不喜欢sw但是见到圆圆ls没忍住。ls三点粉,下面无毛,rt小小的,是人工白虎,bb内外一致粉粉的看起来很有食欲,随即浅尝一口,无异味,有点上头不断吸嗦,ls轻哼不断,嫩妹就是好,不一会儿淫水泛滥,给ls送上巅峰,见时机成熟喊ls拿出☔带上,此时ls已无力,本君自己带好,cjs扶根直上,ls喊

5

28 Jul 2026, 14:32 UTC≈2,940 views5 reactionsread 3 September 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 足交sm之行 在群里潜伏了好久,一直看兄弟们聊天,实在是按耐不住内心的躁动了,决定约课,提前一天约好,第一次去想体验的项目多点,本来想约两个小时,结果约不开,小雨就给约了一个小时,到位置遥控上楼,小雨开门的一瞬间让我感到挺惊艳,黑丝,黑红的高跟鞋,短裙,衬衫,对这种装扮没有任何抵抗力,随后小雨领着进淋浴间,简单冲洗了一下出来的时候小雨已经做到沙发上了,让我躺到她的旁边开始用高跟轻轻的踩我小鸡和乳头,那感觉一下就上来了,我抱着小雨的脚就是一顿狂吸过肺,小雨另外一只脚还挑逗我的🐥,吸舔的心满意足了小雨开始给我上强度了,给我固定到椅子上了,完事开始给我用震动棒插我后庭,振的我前列康酥麻酥麻的,手开始给我强撸,最可气的是我临近我射的边缘手就停住了,后面还是一直被振这,持续的大概5-6次,直到自己溢出来来了,不过不是射精的感觉,小鸡还是一直硬着,小雨又开始撸这次给我撸哭了,有

5

Showing the 12 most recent of 23 posts we hold for @kaigongo. 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

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

“开工发布 🅜 山东济南” (@kaigongo), 18,211 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/kaigongo.

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.