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Channel
上海修车社区【公开榜】
@hvsjubs1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
20,365subscribers
-1,779 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 | -1002460021745 |
|---|---|
| Type | Channel |
| Username | @hvsjubs1 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/hvsjubs1 |
Topic
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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, 01:59 | 20,365 | -714 |
| 15 Sept 2026, 20:39 | 21,079 | -1,243 |
| 14 Sept 2026, 05:00 | 22,322 | +14 |
| 12 Sept 2026, 13:40 | 22,308 | -208 |
| 10 Sept 2026, 11:40 | 22,516 | +706 |
| 7 Sept 2026, 06:22 | 21,810 | +52 |
| 4 Sept 2026, 13:01 | 21,758 | +24 |
| 3 Sept 2026, 01:43 | 21,734 | +25 |
| 1 Sept 2026, 20:08 | 21,709 | +28 |
| 31 Aug 2026, 20:25 | 21,681 | +18 |
| 30 Aug 2026, 22:09 | 21,663 | +30 |
| 29 Aug 2026, 20:23 | 21,633 | -933 |
| 28 Aug 2026, 19:56 | 22,566 | -2,009 |
| 27 Aug 2026, 19:07 | 24,575 | -297 |
| 26 Aug 2026, 21:28 | 24,872 | +56 |
| 25 Aug 2026, 20:34 | 24,816 | +6 |
| 24 Aug 2026, 20:05 | 24,810 | +35 |
| 23 Aug 2026, 08:27 | 24,775 | +70 |
| 21 Aug 2026, 22:06 | 24,705 | +54 |
| 20 Aug 2026, 17:09 | 24,651 | first reading |
Engagement
72 posts held, back to 4 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.70%
- avg views ÷ 20,365 subscribers
- Avg views / post
- 753
- 35 posts measured
- Reaction rate
- 0.038%
- reactions ÷ views · ER floor
- Posts in window
- 35
- of 72 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 9 of 35 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 72 (4 August 2026 – 3 September 2026) |
| Views total | 26,367 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 13:35 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
- 6m 25s
- Average length
- 10s
Measured directly from 38 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
10 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 100.0% |
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 24 of the 72 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 4 August 2026 to 3 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.
Telegram Stars
- Stars received
- 8
- across the posts below
- Posts paid on
- 8
- of 72 we hold a reading for · 11%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hvsjubs1. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 72 most recent posts we hold for this entry, published 4 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
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Showing the 12 most recent of 72 posts we hold for @hvsjubs1. 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 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@Baibaoxiangcj · 22,8315 posts上海修车社区榜单
@Shanghai527 · 8,9703 posts刘媛希 资料库
@hhvdjj · 1,1812 posts颜如玉资料
@xibei8649 · 1,2442 posts安婷🉑🐍(个人课表频道)
@antingshmh03 · 2,4541 post沪e大奶之家
@Ddanai1 · 9931 post浦东三林迪迪频道
@didishanghai · 761 post多米的酒吧
@Duomias · 1061 post林初的朋友圈2.0
@linchujj18cm · 6541 post程程
@meihuizi55 · 2,1171 post浦东米娜私密花园🌷
@minahuayuan · 351 post倩倩的花园
@qianqian_3333 · 7181 post上海修车社区【报告区】
@shanghai722 · 5,2561 post米琪琪178☜闵行开课表频道
@shwangyuau07 · 1,1681 post普陀环球港f天然大奶北方有佳人
@ttyyg1253 · 3,4261 post小小课堂
@upmbv · 1071 post王杨07课表频道
@xiaonaiping07 · 7281 post静安小娜在🐘象牙塔🐘
@xiaonaiXYT · 2081 post馨儿小屋
@xinee0 · 751 post欣欣的频道(白虎)
@xinxin_76w · 1,1181 post小燕子的爱巢
@xyzachao · 2,0861 post雅典的51空间
@yadianqq88 · 1,0281 post瑜伽老师元宝的频道
@yuanbao_41 · 2,1491 post上海静安🌹coco🌹抓龙筋🐉
@zhualongjin101 · 6391 post
Names
Channels on the register whose handles appear in this channel's posts.
@shanghai722 · 5,25658 posts上海修车社区【轮播群】
@shanghai720 · 20,0269 posts上海修车社区【交流群】
@shanghai7520 · 35,4239 posts成都中大圈榜单
@chengdubd · 11,2914 posts成都天府之巅交流群
@chengduhappy · 15,8294 posts成都中大圈报告
@chengdumcbg · 3764 posts上海(忘忧阁 )中圈外围
@shwangyouge · 11,5934 posts白虎极品萝莉,身材超级棒,
@bxm12355 · 1,0351 post茶冻冻的闺房
@cddde88 · 2,0471 post貂蝉❤️朋友圈
@dc8962 · 1,3011 postTG首选🎀少萝俱乐部【全类型·直营】
@Nancidj · 5,0681 post上海修车社区榜单
@Shanghai527 · 8,9701 post上海最美Ts彤彤开课频道
@tstt12345 · 3,1331 post普陀环球港f天然大奶北方有佳人
@ttyyg1253 · 3,4261 post闵行~小梅
@xiaomeiokll · 7631 post长宁咻咻的下海日记
@xiuxiu5678 · 2,8681 post
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 September 2026 — this entry's latest reading, not the date you are reading this.
“上海修车社区【公开榜】” (@hvsjubs1), 20,365 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hvsjubs1.
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.