🔎上城区 🔎拱墅区 🔎萧山区 🔎滨江区 🔎西湖区 🔎余杭区 🔎钱塘区 🔎临平区 🔎外围上门~各类会所 🫂杭州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

Channel
杭州911(认证榜)
@loveyou6VV
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
78,977subscribers
+15,642 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 | -1001721454322 |
|---|---|
| Type | Channel |
| Username | @loveyou6VV |
| Description | س |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/loveyou6VV |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 |
|---|---|---|
| 17 Sept 2026, 14:17 | 78,977 | +761 |
| 15 Sept 2026, 14:58 | 78,216 | +497 |
| 14 Sept 2026, 00:01 | 77,719 | +408 |
| 12 Sept 2026, 06:41 | 77,311 | +631 |
| 9 Sept 2026, 23:20 | 76,680 | +1,462 |
| 6 Sept 2026, 16:56 | 75,218 | +1,205 |
| 4 Sept 2026, 03:18 | 74,013 | +322 |
| 2 Sept 2026, 17:36 | 73,691 | +293 |
| 1 Sept 2026, 16:33 | 73,398 | +370 |
| 31 Aug 2026, 12:55 | 73,028 | +267 |
| 30 Aug 2026, 15:05 | 72,761 | +297 |
| 29 Aug 2026, 14:54 | 72,464 | +217 |
| 28 Aug 2026, 17:06 | 72,247 | +415 |
| 27 Aug 2026, 13:56 | 71,832 | +433 |
| 26 Aug 2026, 10:46 | 71,399 | +274 |
| 25 Aug 2026, 12:43 | 71,125 | +498 |
| 24 Aug 2026, 13:42 | 70,627 | +674 |
| 22 Aug 2026, 20:12 | 69,953 | +747 |
| 21 Aug 2026, 09:56 | 69,206 | +108 |
| 20 Aug 2026, 13:02 | 69,098 | first reading |
Engagement
93 posts held, back to 28 July 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 128 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.23%
- avg views ÷ 78,977 subscribers
- Avg views / post
- 1,760
- 43 posts measured
- Reaction rate
- 0.065%
- reactions ÷ views · ER floor
- Posts in window
- 43
- of 93 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 24 of 43 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 93 (28 July 2026 – 23 September 2026) |
| Views total | 75,655 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 21:40 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
- 178
- Videos
- 61
- Links
- 52
Lifetime counters from Telegram’s own channel header, read 23 September 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
- 10m 00s
- Average length
- 8s
Measured directly from 72 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
77 reactions across 44 posts, in 11 distinct kinds. The most used accounts for 70.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 54 | 70.1% | |
| 👍 | 7 | 9.09% | |
| 🔥 | 4 | 5.19% | |
| 👏 | 3 | 3.90% | |
| 👀 | 2 | 2.60% | |
| 😡 | 2 | 2.60% | |
| ❤🔥 | 1 | 1.30% | |
| 🎉 | 1 | 1.30% | |
| 💯 | 1 | 1.30% | |
| 😍 | 1 | 1.30% | |
| 🤩 | 1 | 1.30% |
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 47 of the 93 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 93 most recent posts we hold, published 28 July 2026 to 23 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
【艺名】: #不知火舞 【地址】: #上城区 【联系】: @jiangtu1010 【频道】: https://t.me/jiangjtu02 👇下面评论区留言👇
【艺名】: #小思 【地址】: #拱墅区 【联系】: @bsbh07 【频道】: https://t.me/fffj074h 👇下面评论区留言👇
❤1
【艺名】: #小女友 【地址】: #拱墅区 【联系】: @karina00066 【频道】: https://t.me/karina000661 👇下面评论区留言👇
❤1👍1
【艺名】: #露小露 【地址】: #拱墅区 【联系】: @LLll3678 双向: @LLsxjqr01_bot 【频道】: https://t.me/x66x6687 👇下面评论区留言👇
😡2
【艺名】: #琳娜 【地址】: #拱墅区 【联系】: @Linna336868 【频道】: https://t.me/huabeibaby 👇下面评论区留言👇
❤3
【艺名】: #茗儿 【地址】: #拱墅区 【联系】:@waiwai0718 【频道】: https://t.me/waiwai0178 👇下面评论区留言👇
❤1
【艺名】: #郎莹莹 【地址】: #拱墅区 【联系】: @Lang_Yingying 双向: @Yingyingbotlan_bot 【频道】: https://t.me/ananrankeaima 👇下面评论区留言👇
【艺名】: #小希 【地址】: #拱墅区 【联系】: @xiaoxi520666 【频道】: @xiaoxixi0001 👇下面评论区留言👇
【艺名】: #苏小白 【地址】: #上城区 【联系】: @susu001122 【频道】: @suxiaobai123 👇下面评论区留言👇
【艺名】: #虾虾同学 【地址】: #拱墅区 【联系】: @xiaxia66t1 【频道】: https://t.me/rrrfghtutu 👇下面评论区留言👇
🔎上城区 🔎拱墅区 🔎萧山区 🔎滨江区 🔎西湖区 🔎余杭区 🔎钱塘区 🔎临平区 🔎外围上门~各类会所 🫂杭州交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
Showing the 12 most recent of 93 posts we hold for @loveyou6VV. 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 7 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.
@anangao · 55,82150 posts杭州911报告📮
@chaodaoD · 43,69450 posts武汉出击榜(先锋)
@haoyuane · 58,88850 posts广州911(认证榜)
@Hzxiaomo · 40,35050 posts上海911(认证榜)
@maokuanyou · 76,85550 posts深圳911(认证榜)
@Yuoyoutan · 87,34650 posts南京出击榜(先锋)
@zoudeyun · 68,43150 posts杭州修车911
@zzushao1 · 90,77650 posts郎莹莹的朋友圈
@ananrankeaima · 2,4553 posts困困不困
@kunkun2626 · 4,0733 posts夏颖骚骚的日常
@xy990688 · 1,1353 posts沈雪雪的日常💙🤍
@Bosbslixun · 3,4362 posts杭州😙琳娜❤️日常
@huabeibaby · 3,0302 posts娜娜
@huli01234 · 472 posts不知火舞(回来了)
@jiangjtu02 · 6,5812 posts你的小女友
@karina000661 · 3,1292 posts七七的教室💜
@lulununu · 4942 posts北北的日记🔞
@mubeibei520 · 2,7362 posts虾虾同学最美丽🥹
@rrrfghtutu · 4,1222 posts小萝的朋友圈(杭州)
@shangmeng1 · 1,0812 posts杭州全区94全螺5T
@twy118 · 6,7002 posts全国探花(中低高端)外围
@vuvvvvvvvvv · 13,1812 posts乱是佳人
@waiwai0178 · 2,9672 posts露小露个人空间
@x66x6687 · 3,6652 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“杭州911(认证榜)” (@loveyou6VV), 78,977 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/loveyou6VV.
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.