Telegram RegisterThe public register of Telegram
Telegram profile photo for kimi的爱巢

Channel

kimi的爱巢

@qweoop13579

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

982subscribers

+0 since we began measuring on 24 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003324778810
TypeChannel
Username@qweoop13579
CreatedBetween 1 November 2025 and 6 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live25 August 2026
Measurements held2
On Telegramt.me/qweoop13579

Growth

98224 Aug 2026, 16:00 — 982 subscribers24 Aug 2026, 16:15 — 982 subscribers24 Aug 2026, 16:0024 Aug 2026, 16:15
2 measurements taken within a single day. 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 981–983 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 16:15982no change
24 Aug 2026, 16:00982first reading

Engagement

14 posts held, back to 6 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.96%
avg views ÷ 982 subscribers
Avg views / post
19.2
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 14 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 August 2026
Posts held14 (6 March 202624 August 2026)
Views total96
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 16:15 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
12
Videos
3
Links
6

Lifetime counters from Telegram’s own channel header, read 24 August 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
13s
Average length
13s

Measured directly from 1 video 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.

Recent posts

17 Aug 2026, 09:10 UTC20 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接: https://t.me/shanghaidadao/11622 💒位置:#闵行 ------------------ 💌出击报告:进门看到比照片更美的ls,大胸大屁股,身材性感,服务一流。2p花了很久时间ls特别有耐心,ls也是高潮多次,导致超时很多;总体感觉就是ls身材性感脸漂亮,身体软,说话也很软,真是温柔乡销魂地。

3 Aug 2026, 14:14 UTC31 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接: https://t.me/shanghaidadao/11622 💒位置: #闵行 ------------------ 💌出击报告:旅游回来好久没出j,偶然看到妹妹,于是果断约课出击,准时到达。进屋看到妹妹,比照片还好看,本来准备p的,看时间够果断改为pp。妹子虽然不爱说话,但主动陪浴,甜➕御,完全符合预期。细节就不说了,嫩妹三件套,妹子刚做不久还不熟练,很多东西尚不熟悉,但服务态度不错,女上不太会但看得出来很用心在配合,冲服务就不要要求太高了,从来没写过评价,第一次评价直接给老师。

21 Jul 2026, 15:05 UTC39 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接:https://t.me/shanghaidadao/11114 💒位置:#闵行 ------------------ 💌出击报告:从调情开始就很加分。她声音软软的,眼神勾人,主动贴上来亲吻、耳语、用身体轻轻磨蹭,手指在胸口和大腿内侧游走,把前戏氛围炒得特别暧昧。完全不像机械式的服务,而是像情人一样慢慢撩拨,欲罢不能。 进入裸吹环节后,她直接脱光跪在面前,技术相当不错。嘴巴又热又软,舌头灵活,从龟头慢慢舔到根部,深喉也做得顺畅自然,吸吮力度适中,口水多且会拉丝,视觉和触觉都非常享受。她边吹边抬头用眼睛看着我,那种反差感特别带劲。 最后口爆的时候,她没有任何抗拒,含得更深更紧,节奏加快把我彻底吸出来,直接吞了下去,还伸舌头给我看,干净又骚浪。 整个过程kimi态度积极主动,配合度高,服务专注,没有多余的废话。调情自然,裸吹专业,口爆爽快,整体体验很棒。

16 Jul 2026, 09:56 UTC40 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接: https://t.me/shanghaidadao/9944 💒位置:#闵行 ------------------ 💌出击报告:穿上制服后简直是极品学生妹。她穿着白色衬衫+短格子裙,黑丝过膝袜,配上小皮鞋,完全就是清纯女学生的样子。先给我来了一套按摩。她跪在床上,穿着黑丝用大腿和手给我全身按摩,手法虽然不算特别专业,但丝袜摩擦皮肤的触感特别舒服。按到后面她故意把胸部贴上来,隔着衬衫蹭我。按摩完进入正戏。她跪在我面前,抬头用无辜的眼神看着我,开始吹箫。制服丝袜加成太高了,她小嘴又软又热,先是轻轻舔蛋蛋,然后一口含住慢慢深喉。黑丝长腿跪得笔直,格子裙掀到腰上,画面特别色情。她技术不错,吸得很卖力,舌头缠着龟头转圈,口水拉丝流到丝袜上。我把她按在床上,掀起裙子撕开黑丝直接插进去,一边操一边让她继续用手帮我撸。她被干得眼镜都歪了,还喘着气叫“学长好大……操得kimi好舒服……”最后我让她跪好,抓住她的头猛

7 Jul 2026, 14:29 UTC49 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接: https://t.me/shanghaidadao/9944 💒位置: #闵行 ------------------ 💌出击报告:一进屋就开始调情,贴着我耳边吹气,用手指轻轻划过我胸口和下面,眼神勾人,把气氛很快撩热。她技术很温柔,先是裸吹,跪在我面前慢慢舔,从龟头到蛋蛋都很仔细,舌头又软又灵活,吸吮的时候眼睛还抬头看我,特别骚。指滑服务也做得不错,手指细长润滑充足,扣弄的时候力度和节奏掌握得很好,边扣边用小嘴含着,爽感很强。后面简单全套,她小穴紧致,虽然身材偏瘦但抱起来很舒服,配合度高,各种姿势都主动迎合,叫床声轻柔又带点喘,很有感觉。整个过程她都很专注,没有敷衍。调情+裸吹+指滑的组合玩得非常舒服,事后还帮忙清理。

3 Jul 2026, 14:54 UTC44 viewsread 24 August 2026
Forwarded from @SHDD333

💃老师:#kimi 🤖链接: https://t.me/shanghaidadao/7158 💒位置: #闵行 ------------------ 💌出击报告:1,真的是嫩妹,而且好甜 2 纯天然,手感好(皮肤又好,还有弹性),没有纹身(或者比较隐蔽) 3 又好看,盘顺,还有手感,🤩真的绝了 4还会哄你开心,年轻的活力溢于言表…顶不住啊,兄弟萌,真的顶不住 5我要去健身,为了能把kimi抱起来做!

Showing the 12 most recent of 14 posts we hold for @qweoop13579. 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.

Citation-graph rank

Citation-graph rank — 609,410 of 1,620,455entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“kimi的爱巢” (@qweoop13579), 982 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/qweoop13579.

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.