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Channel

成都滴滴车库

@CDdidicheku

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

24,034subscribers

+99 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1002359717285
TypeChannel
Username@CDdidicheku
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live20 October 2026
Measurements held18
Confirmed unchanged1 time, most recently 20 October 2026
On Telegramt.me/CDdidicheku

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 17 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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

23,93524,08424,009.52 September 2026 — 23,935 subscribers3 September 2026 — 23,960 subscribers6 September 2026 — 23,997 subscribers9 September 2026 — 24,074 subscribers11 September 2026 — 24,084 subscribers15 September 2026 — 24,068 subscribers17 September 2026 — 24,069 subscribers19 September 2026 — 24,076 subscribers26 September 2026 — 23,949 subscribers4 October 2026 — 23,980 subscribers9 October 2026 — 23,962 subscribers14 October 2026 — 23,981 subscribers15 October 2026 — 23,967 subscribers16 October 2026 — 23,987 subscribers17 October 2026 — 23,985 subscribers18 October 2026 — 24,005 subscribers19 October 2026 — 24,019 subscribers20 October 2026 — 24,034 subscribers24,0342 September 202620 October 2026
18 measurements spanning 48 days, net +99. 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 23,913–24,106 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Oct 2026, 16:0524,034+15
19 Oct 2026, 13:5524,019+14
18 Oct 2026, 12:3024,005+20
17 Oct 2026, 14:3923,985-2
16 Oct 2026, 14:4523,987+20
15 Oct 2026, 13:5623,967-14
14 Oct 2026, 15:5023,981+19
9 Oct 2026, 00:2123,962-18
4 Oct 2026, 17:3523,980+31
26 Sept 2026, 20:5523,949-127
19 Sept 2026, 16:5624,076+7
17 Sept 2026, 08:0124,069+1
15 Sept 2026, 10:1924,068-16
11 Sept 2026, 23:5924,084+10
9 Sept 2026, 14:3824,074+77
6 Sept 2026, 04:3723,997+37
3 Sept 2026, 20:5623,960+25
2 Sept 2026, 15:1523,935first reading

Engagement

16 posts held, back to 17 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 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.34%
avg views ÷ 24,034 subscribers
Avg views / post
2,010
8 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
8
of 16 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 8 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 19 October 2026
Posts held16 (17 August 2026 – 19 October 2026)
Views total16,042
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 03:20 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
945
Videos
47
Links
222

Lifetime counters from Telegram’s own channel header, read 21 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 10s
Average length
10s

Measured directly from 7 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

48 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 95.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4695.8%
👍24.17%

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 14 of the 16 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 48 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 17 August 2026 to 19 October 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

19 Oct 2026, 06:39 UTC862 views1 reactionsread 21 October 2026
Photo

【成都滴滴车库】 【花名】 #安妮 【车牌】@anni0213 【地址】#丽都路 【标签】#身材车 #颜值车 #大长腿 #御姐车 #感觉车 #红牌楼 【硬件】身高174,体重50kg.有纹身, 在手臂上,面积小,皮肤淡黄皮,手感很顺滑,老师的户型蝴蝶型,水多比较紧,毛量正常,胸型 B,乳头粉褐色小,胸部手感坚挺 【软件】陪浴,口,胸推,漫游 黑丝 爱爱,服务态度好,情绪高 【课费】 700P/ 50 分钟 11PP/ 90 分钟 #7 / 11(单P和PP的缩写) 【优惠】#无 【验证】#已验证 验证报告 【综合评分】8分 【特别提示】推荐身材控、喜欢大长腿,御姐控打卡,整体而言值回票价 【报告查阅】https://t.me/cdddxd1

❤1

16 Oct 2026, 10:55 UTC≈1,290 viewsread 21 October 2026
Photo

【成都滴滴车库】 【花名】#若雪 【车牌】@WaSaiya1122 【地址】#天府五街 【标签】 #6P #武侯区 #御姐 #感觉车 #巨乳 #自聊 #态度车 #包夜 #已验证 【硬件】老师的身高163cm、体重50kg、胸C,皮肤白手感光滑细腻,下面紧、颜色外褐内粉,毛量正常 【软件】陪洗、水中萧、A面、舔蛋、口、调情、AA、小吻 【课费】 600P/ 60分钟 900PP/ 90分钟 #6 / 9(单P和PP的缩写) 【优惠】#无 【验证】#已验证 验证报告 【综合评分】软件评分8.5和硬件评分8.3,最后得出综合评分8.4 【特别提示】颜值可以,身材属于比较丰满但是也不胖那种,胸大Q弹,态度好、服务好,偏御少气质,推荐给喜欢这类的狼友们吃! 【报告查阅】https://t.me/cdddxd1

15 Oct 2026, 03:54 UTC≈1,550 views2 reactionsread 21 October 2026
Photo

【成都滴滴车库】 【花名】#阿狸 【车牌】@yy133521 【地址】#SM广场 【标签】 #颜值车 #嫩妹 #成华区 #代聊 #大长腿 #7P 【硬件】 19岁嫩妹,身高170,55公斤,胸B+,圆润饱满有弹性,皮肤光滑细嫩。老师的户型接近一线天,颜色淡粉,水多一摸就出水,正常紧度,周围毛量适中。 【软件】嫩妹三件套,陪洗,舔胸裹蛋,无套口,69、爱爱 【课费】 7P/ 50分钟 14PP/ 90分钟 【优惠】#无 【验证】#已验证 验证报告 【综合评分】软件评分8分;硬件评分8.5分,综合评分8.5 【特别提示】妹儿颜值在线,身材也很好。就是服务少些,嫩妹吃的就是嫩。颜值控,素材控闭眼入吧 【报告查阅】https://t.me/cdddxd1

❤2

14 Oct 2026, 09:32 UTC≈1,530 views2 reactionsread 21 October 2026
Photo

【成都滴滴车库】 【花名】#苗苗 【车牌】@cd_miao888 【地址】#朗诗熙华府 【标签】 #8p #武侯区 #少妇 #服务车 #转运珠 #态度车 #代聊 【硬件】老师的身高165、体重120、胸C有乳晕,皮肤光滑,有纹身,五个月。下面的松紧度较紧、蝴蝶鲍鱼,毛量较多等硬件条件,尽量详细 【软件】三件套,按摩,蛇漫,吸皮,漫游,毒龙,胸推,床上叫骚 【课费】 8P/ 50分钟 无PP/ 90分钟 #8/无(单P和PP的缩写) 【优惠】#(无或者优惠的情况) 【验证】#已验证 验证报告 【综合评分】软件评分8.5和硬件8评分,最后得出综合评分8,尽量详细准确 【特别提示】老师怀孕5个月,身材还可以,脸有点圆了,服务还是细致,态度好,会聊天,猎奇的兄弟可以尝试 【报告查阅】https://t.me/cdddxd1

❤2

9 Oct 2026, 15:29 UTC≈2,330 views4 reactionsread 19 October 2026
Photo

#成都武侯 #海选会所 🥰云鼎养生SPA店🥰 环境:独立卫浴 ➡️ 情景房 类型:丝足spa店 费用:体验价:📱📱📱 贵宾价:📱📱📱 尊享价:📱📱📱 详细项目内容请咨询【琳琳】 🤗每日出勤10➕ 🔣 点击预约客服 🔣 💥特色: ✅性感胸滑 ✅嫦娥之吻 ✅过水漫游 ✅波涛汹涌 ✅蚂蚁上树 ✅三起三落 ✅水漫金山 ✅柔试指滑 ✅猴子偷桃 ✅双宝夹龙 ✅制服诱惑 ✅ ✅正宗莞式18项 只多不少✅ 💥丝袜随便撕 制服随便选💥 📱地址:武侯区来凤二路106号 🚀客服:@CDSPA_92 ❣️双向:@SPA0607bot 🤬群组:@CDSPA92 🥰出勤:@CDSPA93 🌐QQ:3764873845 😵电话:18929454955(VX同号)

❤4

1 Oct 2026, 03:24 UTC≈3,140 views5 reactionsread 15 October 2026
Photo

【成都滴滴车库】 【花名】#小雨 【车牌】@m9868a 【地址】#双流区汇都商贸城 【标签】 #御姐车 #服务车 #双流区 #代聊 #水中萧 【硬件】老师的身高165、体重50kg、🐻C,皮肤正常黄皮肤,摸起来很滑,老师平时有锻炼。下面外部颜色正常,里面粉,毛量很少。 【软件】态度好,陪洗、鸳鸯浴、水中萧、69、舔蛋 【课费】 600P/ 50分钟 1000PP/ 80分钟 【优惠】# 无 【验证】#已验证 验证报告 【综合评分】软件评分8.5和硬件评分8,最后得出综合评分8.5 【特别提示】老师属于御姐,话比较多,不会冷场,服务态度好,水中萧很舒服,皮肤摸着也很不错,老师自诉平时有锻炼,胸部很挺,无蛇。有隐藏菜单,加米可以三通,需狼友自行去和老师沟通。 【报告查阅】https://t.me/cdddxd1

❤5

30 Sept 2026, 06:34 UTC≈2,550 views1 reactionsread 14 October 2026
Photo

【成都滴滴车库】 【花名】#雨儿 【车牌】@xiaoyuer687 【地址】#天府一街 【标签】 #6P #武侯区 #嫩妹 #颜值车 #自聊 #深喉 #已验证 【硬件】老师的身高163cm、体重44Kg、天然胸B+,正常肤色手感光滑细嫩,松紧度适中、颜色外褐内粉,毛量偏少 【软件】配洗、蛇、深喉、爱爱 【课费】600P/ 50分钟 1000PP/ 90分钟 #6 / 10 【优惠】#无 【验证】#已验证 验证报告 【综合评分】软件评分8.5和硬件评分8.5,最后得出综合评分8.5 【特别提示】嫩妹、颜值好看、细肢硕果、A4腰、态度好、各种姿势都很配合,非常值得体验(PS:尽量约早点体验感更佳) 【报告查阅】https://t.me/cdddxd1

❤1

28 Sept 2026, 09:10 UTC≈2,790 views3 reactionsread 14 October 2026
Photo

【成都滴滴车库】 【花名】#小野猫 【车牌】@cdxyem 【地址】#大源 【标签】 #少妇车 #服务车 #巨乳 #自聊 #7P #SM #蛇蛇精 【硬件】老师的身高162、体重90、天然胸D手感超柔软,皮肤正常肤色手感光滑无纹身,蝴蝶浅褐色毛量正常,水多挺紧爱爱主动 【软件】三件套、大蟒蛇、69、乳胶、胸推臀推 【课费】 700P/ 50分钟 1000PP/ 90分钟 #7 / 10 【优惠】#无 【验证】#已验证 验证报告 【综合评分】软件评分9和硬件评分8.5,最后得出综合评分8.8 【特别提示】保养挺不错的少御,超级热情见面抱着大蟒蛇调情,正常肤色手感光滑无纹身,身材匀称一点小肚子,天然大D超级柔软还可以乳胶,蝴蝶浅褐色水多较紧会夹,爱爱很主动热情投入 【报告查阅】https://t.me/cdddxd1

❤3

20 Sept 2026, 02:44 UTC≈3,620 views6 reactionsread 9 October 2026
Photo

【成都滴滴车库】 【花名】#小曼 【车牌】@xiaomanman0 【地址】#神仙树 【标签】 #武侯区 #御姐车 #身材车 #颜值车 #大蟒蛇 #上门 #巨乳 #大奶 【硬件】年龄24、身高165、体重100出头、天然胸部D、皮肤白皙、下面紧致温暖、颜色外褐内粉,毛量正常 【软件】三件套、69、大蟒蛇及情绪价值高、沟通顺畅愉快 【课费】 700P/ 50分钟 1300PP/ 90分钟 #7/13 【优惠】#无 【验证】#已验证 验车报告 【综合评分】软件评分9.5 、硬件评分9.5 、综合评分9.5 【特别提示】总结的评价 软件和硬件都很出色的一位老师,适合颜值控、身材控和感觉控的朋友。 【报告查阅】https://t.me/cdddxd1

❤6

14 Sept 2026, 08:08 UTC≈3,590 views1 reactionsread 30 September 2026
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【成都滴滴车库】 【花名】 #结衣 【车牌】@HHA686800 【地址】#东郊记忆 【标签】 #bbw #代聊 #4p #大奶 #少妇 #服务 【硬件】老师的身高160,体重110斤加,🐻D,皮肤偏白,下面正常紧度,颜色外褐内粉,毛量偏少,水多 【软件】只有舔胸,口,做 【课费】 400P/ 60分钟 700PP/ 90分钟 #4/ 7(单P和PP的缩写) 【优惠】#无 【验证】#已验证 验证报告 【综合评分】综合评分6.5分,软件6.5分,硬件7分 【特别提示】大奶货真价实,小小肚子双层,大屁股,服务原价可能有, 【报告查阅】https://t.me/cdddxd1

❤1

6 Sept 2026, 07:13 UTC≈4,370 views7 reactionsread 29 September 2026
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【成都滴滴车库】 【花名】 #佳佳 【车牌】@cdjj8877 【地址】#双流万达 【标签】 #少妇车 #服务车 #双流区 #大奶 【硬件】老师的身高162、体重50kg、🐻C+,皮肤白皙,外部颜色正常,里面粉,毛量正常,看着像个桃心 【软件】态度好,陪洗、水中萧、胸推、DL、69、深喉 【课费】 500P/ 60分钟 700PP/ 90分钟 【优惠】# 无 【验证】#已验证 验证报告 【综合评分】软件评分9和硬件评分8.5,最后得出综合评分8.8 【特别提示】老师属于少妇车,态度很好,水中萧很舒服,还有小玩具可以玩,皮肤摸着很舒服,胸部柔软,大蟒蛇管够。 【报告查阅】https://t.me/cdddxd1

❤7

2 Sept 2026, 14:45 UTC568 viewsread 3 September 2026
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【成都滴滴车库】 【花名】#溪桐 【车牌】@AMA13145 【地址】#天府五街 【标签】 #服务车 #高新区 #少妇车 #大奶 【硬件】老师的身高163、体重105、胸部天然大E正常肤色,私处紧度一般、水量不错、颜色深浅(教室灯光暗无法观察)、毛量不多 【软件】服务内容:陪洗、水中萧、胸推、DL、69、深喉 情绪价值:偏服务型老师,情绪价值尚可 【课费】 600P/ 60分钟 900PP/ 90分钟 #6/9 【优惠】#无 【验证】#已验证 验车报告 验车报告 验车报告 【综合评分】软件评分8和硬件评分8.6,综合评分8.3 【特别提示】总结评价 老师属于服务型少妇,深喉和DL的技术颇为不错,一堆天然大灯更是颇为难得,吃服务和大胸硬件的朋友可以一试… 【报告查阅】https://t.me/cdddxd1

Showing the 12 most recent of 16 posts we hold for @CDdidicheku. 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.

Mentions

Named by 1 registered channel — 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.

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

“成都滴滴车库” (@CDdidicheku), 24,034 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/CDdidicheku.

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.