来自湖南卫视的美妆助理老师,皮肤白嫩,风骚无比,蜜桃翘臀D杯大奶,精通剧情“潜规则”“导演演员”,擅长前戏开场,艳舞,野鸳鸯陪浴,情趣装勾引挑逗,服务态度极好,浴室全能战神,浴中吹箫,口中揽月,玉女心精,虎口龙珠,羊羔吃奶,舌战群雄,舌吻Kiss,老汉倒推车,花式69,蜂王采蜜,女上争艳,毛扫,阴唇吸奶,阴推金枪,蜜臀拍奶,口中爆奶,鲍鱼吸液,舌漫肛,独笼钻,倒立空飞。 茶费:5张 地址:#朝阳大悦城 #青年路 #朝阳站 电报: @BJjpk 联系方式:微信:15545690275 qq:1819058204(备注:龙哥推荐不备注不通过)

Channel
北京 龙哥 北京修车 老师资料库
@aibeijing_01
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
37,015subscribers
+1,310 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001865376623 |
|---|---|
| Type | Channel |
| Username | @aibeijing_01 |
| Description | 北京修车/老师资料 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/aibeijing_01 |
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 9 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:19 | 37,015 | +32 |
| 16 Sept 2026, 15:00 | 36,983 | +77 |
| 14 Sept 2026, 21:19 | 36,906 | +58 |
| 13 Sept 2026, 08:58 | 36,848 | +30 |
| 11 Sept 2026, 14:57 | 36,818 | +117 |
| 9 Sept 2026, 00:36 | 36,701 | +123 |
| 5 Sept 2026, 17:36 | 36,578 | +126 |
| 3 Sept 2026, 14:41 | 36,452 | +52 |
| 2 Sept 2026, 09:46 | 36,400 | +38 |
| 1 Sept 2026, 06:56 | 36,362 | +19 |
| 31 Aug 2026, 09:15 | 36,343 | +78 |
| 30 Aug 2026, 06:45 | 36,265 | +22 |
| 29 Aug 2026, 08:37 | 36,243 | +75 |
| 28 Aug 2026, 07:25 | 36,168 | +32 |
| 27 Aug 2026, 09:04 | 36,136 | +59 |
| 26 Aug 2026, 08:44 | 36,077 | +20 |
| 25 Aug 2026, 08:44 | 36,057 | +92 |
| 24 Aug 2026, 05:16 | 35,965 | +49 |
| 22 Aug 2026, 12:43 | 35,916 | -242 |
| 21 Aug 2026, 01:13 | 36,158 | first reading |
Engagement
163 posts held, back to 7 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 75 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.47%
- avg views ÷ 37,015 subscribers
- Avg views / post
- 913
- 106 posts measured
- Reaction rate
- 0.112%
- reactions ÷ views · ER floor
- Posts in window
- 106
- of 163 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 47 of 106 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 163 (7 August 2026 – 20 September 2026) |
| Views total | 96,769 |
| Reactions total | 59 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Sept 2026, 11:59 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
- ≈4,030
- Videos
- ≈831
- Links
- ≈550
Lifetime counters from Telegram’s own channel header, read 20 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
- 16m 00s
- Average length
- 8s
Measured directly from 121 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
113 reactions across 64 posts, in 7 distinct kinds. The most used accounts for 94.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 107 | 94.7% | |
| 🎉 | 1 | 0.885% | |
| 👍 | 1 | 0.885% | |
| 👏 | 1 | 0.885% | |
| 😴 | 1 | 0.885% | |
| 🤪 | 1 | 0.885% | |
| 🫡 | 1 | 0.885% |
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 81 of the 163 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 113 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 163 most recent posts we hold, published 7 August 2026 to 20 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
#通州 #北关 #晨晨 #上门 年龄26身高163体重126🐻B+ 备注:龙哥 茶费:4-6-8 🏳️:@hhcc1999 双向:@hhcc1999_bot 备注:龙哥 反馈参考: 📖 反馈报告 1 📖反馈报告2 📖 反馈报告3 📖反馈报告4 📖 反馈报告5 📖反馈报告6 📖 反馈报告 7 📖反馈报告8 📖 反馈报告 9 📖反馈报告10 📖 反馈报告11 📖反馈报告12 📖 反馈报告 13 📖反馈报告14 📖 反馈报告 15 📖反馈报告16
❤6
#朝阳 #和平西街 #苏雅彤 年龄23身高174体重108🐻C 刚下水乖乖类型 备注:龙哥 茶费;1K 🏳️:@yatongpp 双向:@suyatong534bot 备注:龙哥 反馈参考: 📖 反馈报告 1 📖反馈报告2 📖 反馈报告3 📖反馈报告4 📖 反馈报告5 📖反馈报告6
❤3
上海小姐大赛季军24-171-100,身材高挑,皮肤超白细嫩,超级温柔闷骚的气质小姐姐,身材一绝,口技一绝,臀推更是一绝,大长腿喜欢被抱起来那种,蜜桃翘臀后入感超强,三点粉嫩汁水超多,激情挑逗调情陪浴,刺激的69互舔直奔高潮,独笼钻菊花全身通电的感觉,深喉锁喉样样精通,各种姿势迎合! 茶费:6张 地址: #燕郊联系方式: qq3827180092 电报客服号: @Bjchunfeng 频道: @HByanjiao 机器人 @Bjchunfengbot (添加备注燕郊)
❤1
#双井 #金诺诺 年龄26身高165体重53kg 可外出 备注:龙哥 茶费:8 🏳️:@skp51888 双向:@skp51888bot 备注:龙哥
#双井 #清禾(中俄混血) 06年身高167🐻B 体重108 可上门 备注:龙哥 茶费:8 🏳️:@jiaoqimeimei 双向:@jiaoqimei04_bot 🏡:限时活动 全场减200 需要写反馈 备注:龙哥
#昌平 #立水桥 #小迷糊 年龄28身高160🐻C体重100 备注:龙哥 茶费:6 🏳️:@xiaomihu9898 双向:@hfc544_bot 🏡:限时活动 6-1 500需要写反馈 备注:龙哥 反馈参考: 📖 反馈报告 1 📖反馈报告2 📖 反馈报告3 📖反馈报告4 📖 反馈报告5 📖反馈报告6
❤1
#丰台 #泥洼北路 #小确幸 06年身高165体重45kg🐻C 可上门 皮肤白皙水嫩 兼职 备注:龙哥 茶费:1K 🏳️:@xiaoquexing689 双向:@xiaoquexing6_bot 备注:龙哥 反馈:https://t.me/didulong/25986
❤2
#朝阳 #呼家楼 #赵千禧 07年身高170体重96🐻C 备注:龙哥 茶费:1.3K 🏳️:@qianqiannvyou 双向:@zhaoqianxibot 🏡:新人限时活动 13-4 900需要写反馈 备注:龙哥
❤1
#常营 #小乔 江苏年龄21身高166体重90🐻B 小乔 备注:龙哥 茶费:6 🏳️:@xiaoqianzaijing2 双向:@Xiaoqiaozaijibg66bot 🏡:限时活动 B套餐 8–2 600 需要写反馈 备注:龙哥 反馈参考: 📖 反馈报告 1 📖反馈报告2 📖 反馈报告3 📖反馈报告4 📖 反馈报告5 📖反馈报告6 📖 反馈报告 7 📖反馈报告8 📖 反馈报告 9 📖反馈报告10 📖反馈报告11 📖反馈报告12 📖反馈报告13 📖反馈报告14
#太阳宫 #小鱼 年龄23身高165体重85🐻D 可上门 备注:龙哥 茶费:6 🏳️:@xxmmm1120 双向:@xiaoyu317_bot 备注:龙哥 反馈参考: 📖 反馈报告 1 📖反馈报告2 📖 反馈报告3 📖反馈报告4 📖 反馈报告5 📖反馈报告6 📖反馈报告7 📖反馈报告8 📖反馈报告9 📖反馈报告10 📖反馈报告11 📖反馈报告12 📖反馈报告13 📖反馈报告14
❤3
上海小姐大赛季军24-171-100,身材高挑,皮肤超白细嫩,超级温柔闷骚的气质小姐姐,身材一绝,口技一绝,臀推更是一绝,大长腿喜欢被抱起来那种,蜜桃翘臀后入感超强,三点粉嫩汁水超多,激情挑逗调情陪浴,刺激的69互舔直奔高潮,独笼钻菊花全身通电的感觉,深喉锁喉样样精通,各种姿势迎合! 茶费:6张 地址: #朝阳大悦城 #青年路 #朝阳站 电报: @BJjpk 联系方式:微信:15545690275 qq:1819058204(备注:龙哥推荐不备注不通过)
Showing the 12 most recent of 163 posts we hold for @aibeijing_01. 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 3 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@aibeijing_01 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 3 September 2026 – 3 September 2026
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 September 2026 — this entry's latest reading, not the date you are reading this.
“北京 龙哥 北京修车 老师资料库” (@aibeijing_01), 37,015 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/aibeijing_01.
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.