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Channel

深圳淘宝修车评价榜

@xiuchegongbing

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

6,573subscribers

+485 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003274488964
TypeChannel
Username@xiuchegongbing
Description淘宝收集录: @Sz2TB 淘宝交流群: @xiuchegbdd 精选轮播群: @Sz3TB 公开栏: @szszfc 推广管理员: @szcjcj6 报告收录员: @szcjcj
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/xiuchegongbing

Topic

Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 the other topics.

Growth

5,9896,5736,2816 August 2026 — 6,088 subscribers6 August 2026 — 6,088 subscribers7 August 2026 — 6,107 subscribers10 August 2026 — 6,129 subscribers13 August 2026 — 6,135 subscribers16 August 2026 — 6,169 subscribers19 August 2026 — 6,151 subscribers22 August 2026 — 6,193 subscribers25 August 2026 — 6,187 subscribers28 August 2026 — 6,220 subscribers1 September 2026 — 6,243 subscribers4 September 2026 — 6,238 subscribers9 September 2026 — 5,989 subscribers13 September 2026 — 6,034 subscribers17 September 2026 — 6,041 subscribers26 September 2026 — 6,155 subscribers5 October 2026 — 6,254 subscribers11 October 2026 — 6,274 subscribers14 October 2026 — 6,319 subscribers17 October 2026 — 6,364 subscribers20 October 2026 — 6,405 subscribers23 October 2026 — 6,421 subscribers26 October 2026 — 6,446 subscribers30 October 2026 — 6,452 subscribers2 November 2026 — 6,519 subscribers5 November 2026 — 6,573 subscribers6 August 20265 November 2026
26 measurements spanning 91 days, net +485. 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 5,901–6,661 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
5 Nov 2026, 08:416,573+54
2 Nov 2026, 14:176,519+67
30 Oct 2026, 03:586,452+6
26 Oct 2026, 19:216,446+25
23 Oct 2026, 15:046,421+16
20 Oct 2026, 19:216,405+41
17 Oct 2026, 10:216,364+45
14 Oct 2026, 11:566,319+45
11 Oct 2026, 09:566,274+20
5 Oct 2026, 04:216,254+99
26 Sept 2026, 14:576,155+114
17 Sept 2026, 10:196,041+7
13 Sept 2026, 15:556,034+45
9 Sept 2026, 13:355,989-249
4 Sept 2026, 15:376,238-5
1 Sept 2026, 04:346,243+23
28 Aug 2026, 21:256,220+33
25 Aug 2026, 19:346,187-6
22 Aug 2026, 14:156,193+42
19 Aug 2026, 05:576,151first reading

Engagement

103 posts held, back to 3 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 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.41%
avg views ÷ 6,573 subscribers
Avg views / post
224
37 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
37
of 103 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 2 of 37 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 7 November 2026
Posts held103 (3 August 2026 – 7 November 2026)
Views total8,286
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 05:49 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
≈176
Videos
≈1
Links
≈2,800

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Reaction mix

7 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤571.4%
👍114.3%
🥰114.3%

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 6 of the 103 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 103 most recent posts we hold, published 3 August 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 3 of 37 posts held from the last 30 days (8.11%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 04:07 UTC23 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#南山小鱼 【联系方式】 @xinyu9900 【老师位置】#南山 【工兵留名】匿名 【验证时间】11.6 【修车费用】1000-pp 【颜值身材】: 不知如何形容妹妹的美丽了 【服务内容】: 🐍69口 【服务态度】: 态度很端正 【优点缺点】: 老师水很多 【推荐程度】: 极度推荐 【体验细节】:刚出差回来,来了快6次了,第一次遇见小鱼是在宝安,必须不带犹豫小鱼的迅速约课。约好时间后准时出发,课室在南山的高级公寓,很新,小鱼果然是很好看的妹子,人照九分,妆容比较精致,果断交水费,比较嫩,黄皮,身上没有一点赘肉,洗完回到床上,开始服务,口技不错,本人不太耐受,忍不住便提枪上阵。出体验床感确实比较好,进入的时候真的很紧,叫声非常真实,身体一抽一抽的。女上不太会,后入会下腰,姿势任君选择,很配合,最后切换传教士看着我的大调抽拔进出便交…

6 Nov 2026, 13:31 UTC352 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#瑜瑜大王 【联系方式】@ZhouZhou_y 【老师位置】#南山 【工兵留名】今晚打老虎 【验证时间】2026.11.6 【修车费用】p 【颜值身材】颜 9 身 8 【服务内容】xcz 【优点缺点】我觉得没有缺点全是优点,腼腆妹妹 【出击体验】这是来的第三次了,瑜瑜的体验不由多说了,由于是老熟客了,第一次非常腼腆的说话,这次一进门,看到我一下冲上来抱住我,我赶紧摸摸瑜瑜的头安慰她最近的事情,一起走到沙发刚坐下,瑜瑜又是主动抱过来,一下把头埋在我的怀里(本人比较高和壮)向我要亲亲,我赶紧去簌口,回来先是抱着瑜瑜轻轻亲吻嘴唇,用温柔的亲抚摸着瑜瑜,不一会瑜瑜就像获得能量一样,突然伸出🐍把我整个舌头包围,抱着我的双手也更加的用力了。就这样我们在沙发上缠绵了数分钟,直到我实在受不了了就拉着瑜瑜去洗。 当然洗也有重头戏,明显今天瑜瑜更加主动…

6 Nov 2026, 13:19 UTC80 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】朋子 【联系方式】@Yangcoco668 【老师位置】#龙华 【工兵留名】西门 【验证时间】11/3 【修车费用】6p/10pp 【颜值身材】8 【服务内容】10 【优点缺点】牙有点影响颜值 服务性格情绪价值我给到夯,丰乳不肥臀,身姿很诱人 【出击体验】慕名而来,第一次约约不上,后面提前约的,位置好找,进门小小只 ,细枝硕果的大奈奈。沙发上坐着姐姐扑过来就是大奶甩脸上 ,有点懵逼了 ,沙发上抱着啃了会 ,拉着洗澡,搓洗完用奶奶挤压弟弟乳交,然后突然含住 ,有点猝不及防,太会了,雀食体验拉满了 ,进房间先抱着啃 ,越啃越投入 ,姐姐说,你摸摸胸啊 (我不是匈奴)花了钱的,不摸白不摸,然后姐姐亲奶头一直摩挲着往下 ,拍拍屁股转过来 ,无异味 ,颜色正常蝴蝶款,OK ,开舔,后面开做,出水 后清洁,有事后萧。以前对事后萧挺敏感的 …

6 Nov 2026, 12:46 UTC40 viewsread 7 November 2026
Photo

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6 Nov 2026, 12:46 UTC51 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#小雨 【联系方式】@abc885858 【老师位置】#宝安 【工兵留名】kinys 【验证时间】11.6 【修车费用】p 【颜值身材】25往上吧 【服务内容】课表都有 【优点缺点】有点小肚子 【出击体验】服务型老师,浴室有水中萧,洗完口也很给力。女上有技术,但体力一搬,没两分钟就让我干她了。姿势你随意。顺利出水走人 【综合评分】8 🎆温馨提示: 以上仅代表个人体验,不作为出击推荐,报告仅供参考! 报告提交: @szcjcj 报告提交条件:需要提供约课记录或付款记录作为凭证,仅收录学生提交的报告,报告发现造假第一时间删除,并永久拉黑!本群报告均收录入老师个人资料系统,供全体狼友参考!

6 Nov 2026, 07:33 UTC70 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#汐汐 【联系方式】@nihan_0007 【老师位置】#南山 【工兵留名】梦中情人 【验证时间】11.6 【修车费用】1300p 【颜值身材】大长腿,颜值中上 【服务内容】课表 【优点缺点】性格温柔,服务细心,小穴紧致 【出击体验】看见老师那一刻就很满意,挺漂亮的一妹子不仅身材好颜值也在线,早就关注了只是工作原因没得约上, 真的耳闻不如一见,聊会之后邀请洗鸳鸯浴,终于能一摸这大🐻真容,又软又有韧性,摸起来爽,然后就开始淋浴调情,🐍吻像有灵性一样缠着你的舌头,很快二弟就起立了。洗完看着老师穿上丝袜就开始服务,课表服务该有的都有,口技真的很特别,太爽了,差点没憋住就交代了。爽完老师就女上,里面水多紧致,很快就开始抱着抽插,配合着老师甜美的韵叫,本菜鸡一下就交货了,成了老师们最喜欢的客人😭。最后老师帮洗,还跟老师聊了会,时间到抱抱亲亲送…

6 Nov 2026, 05:21 UTC54 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#雯雯 【联系方式】@wenwen6696 【老师位置】#宝安#固戌 【工兵留名】黑鬼 【验证时间】11月5日 【修车费用】499元 【颜值身材】高挑 【服务内容】口爆 【优点缺点】花样多,口活好 【出击体验】雯雯前倾后翘,鲍鱼紧致,口技一级棒,情绪感拉满,是人生必须要体验一次的,跟晓晓老师约好,到了位置,指引上楼,聊了一会儿,交了水费了,搂着去鸳鸯浴,洗完很贴心,帮我擦干,回到房间开始服务,口活非常好,没有齿感,简直太棒,69做得很到位,各种姿势都很配合,好爽好爽,是一次非常满意的出击,值得推荐兄弟们 【综合评分】9.8分 🎆温馨提示: 以上仅代表个人体验,不作为出击推荐,报告仅供参考! 报告提交: @szcjcj 报告提交条件:需要提供约课记录或付款记录作为凭证,仅收录学生提交的报告,报告发现造假第一时间删除,并永久拉黑!本…

6 Nov 2026, 05:16 UTC69 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#小雨 【联系方式】@abc885858 【老师位置】#宝安 【工兵留名】林少 【验证时间】2026.11.05 【修车费用】800 【颜值身材】微丰满 【服务内容】课表 【优点缺点】💯 【出击体验】今天约了小雨ls,真的不虚此行。首先进门见到真人,绝对人照合一。ls今天穿着偏可爱,倒是跟环境完美融合。房间打理的非常棒,从装饰,到气味,到整洁度都很棒。进门还帮忙换了拖鞋。简单聊了一下,就去🚿全程全自动。随后到房间,课表该有的都有。气氛到了,肾上腺素,多巴胺分泌报表,直接进入身体,把ls折腾的欲死欲仙。花芯蜜汁流淌,面范潮红。如果进门迎接你的时候是一个阾家姐姐,现在在床上已经是一个不知天地为何物的淫娃了。酣畅淋漓的战斗一番,再精油Spa后ls会带着去再帮你清洗一次。临行前给你一个温柔的拥抱。感觉以后要常来了,下次一定得体验PP。 【综…

5 Nov 2026, 09:14 UTC105 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#小米 【联系方式】@ASDP003 【老师位置】#南山 【工兵留名】Q 【验证时间】11.5 【修车费用】800 【颜值身材】顶级 【服务内容】抓龙筋 【优点缺点】身材好 漂亮 手法好 【出击体验】多次回头了,龙筋效果非常好,基本可以维持一到两周效果。身材顶级,老师漂亮很会聊天,情绪价值满分💯 【综合评分】

5 Nov 2026, 08:41 UTC90 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://t.me/xiuchegbdd 出击用户:打死小师傅 出击时间:11.03 出击水费:1000 老师艺名:陈颜悦子 联系方式:@yueyuer2 老师课室: 南山 颜值身材:人照 一致,偏瘦,🐻C 安全评价:安全,高档小区 服务详情:老师刚上课不久,评价都没有,但是看频道定位照片挺多的,应该不是照片,就来了。初次见面,还是很落落大方,约的头课,刚见面不太适应,穿个睡衣扎着头发,很居家。不过等着换好妆,基本就和照片差别不大了,颜值很好,皮肤薄,紧致,身材纤细,身高162左右,公主抱起来完全没问题。 服务很好,口活也无齿感,身体反馈也真实,总体评价4.5星,差0.5星下次补齐. 推荐程度: 推荐 优 缺 点:无

5 Nov 2026, 06:58 UTC64 viewsread 7 November 2026

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】婷婷 【联系方式】 @tingting8896 【老师位置】宝安#固戍 【工兵留名】 无忧 【验证时间】11月4日 【修车费用】500 【颜值身材】千娇百媚 【服务内容】口爆 【优点缺点】花样多 【出击体验】早上水群看到婷婷老师,感觉很有女人味,就提前约了课,进门看到ls身材很好,胸摸起来手感贼好,天然原装真胸,房间收拾得很温馨整洁,空调也已经开好了,像女朋友一样,健谈,洗好进来后立马欲火焚身了,抱着她狂亲胸,我是胸控,奶吃起来太爽了,挺,亲了会我也受不了了,换她来用柔软的小舌头舔着我的胸,舔蛋蛋,感觉像一只小猫一样,舒服极了,猫式蹲吹,满口被包裹在老师嘴里,好有感觉,吞吐太丝滑了,老师眼神还不停的注视着我,看得我魂不守舍,实在忍不住就缴枪了,爽死了!能配合的姿势都配合了。非常不错的体验!女友感十足,休息几天下次再来。🙈🙈 【综合…

5 Nov 2026, 06:37 UTC204 viewsread 7 November 2026

深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#凌儿 【联系方式】@chenling0012 【老师位置】#深圳南山 【工兵留名】Hdsgds 【验证时间】11.4 【修车费用】800/p 【颜值身材】9.5 【服务内容】丝袜 【优点缺点】无 【出击体验】】遥控指挥上楼,开门后看到老师穿着一身黑色的裙子,身材高挑有型,特别强调的是老师颜值很高,脸蛋小而精致,真的很漂亮,很可爱,很有亲和力,给人一种满满的校园女友的感觉,完全是自己喜欢的类型,然后就急忙交了水费去洗澡了,洗完后出来和老师一起先在床上坐着聊了会儿天,老师很健谈,很爱笑,女友感一整个拉满了简直,从亲吻到随着身体慢慢接触,后面直接戴t开始,先是正常体位,后面换了几个姿势老师也都很配合,反应很真实很强烈,真的很有女友的感觉,一直到最后都是意犹未尽的感觉,真的是很难得的妹子,后面有机会还会多来复刷的,也真的十分推荐给兄弟们。 …

Showing the 12 most recent of 103 posts we hold for @xiuchegongbing. 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

@xiuchegongbing edited 2 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
6 November 2026
Most recent edit
6 November 2026

Forward network

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 5 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.

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

“深圳淘宝修车评价榜” (@xiuchegongbing), 6,573 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/xiuchegongbing.

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.