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Channel
欧美精选
@xingai001
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
2,143subscribers
+122 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003085417614 |
|---|---|
| Type | Channel |
| Username | @xingai001 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/xingai001 |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 16 Sept 2026, 18:18 | 2,143 | -3 |
| 13 Sept 2026, 03:18 | 2,146 | +12 |
| 9 Sept 2026, 05:17 | 2,134 | +20 |
| 4 Sept 2026, 00:14 | 2,114 | +11 |
| 31 Aug 2026, 12:38 | 2,103 | -5 |
| 28 Aug 2026, 03:16 | 2,108 | +3 |
| 25 Aug 2026, 07:28 | 2,105 | +10 |
| 22 Aug 2026, 15:14 | 2,095 | +23 |
| 19 Aug 2026, 11:16 | 2,072 | -6 |
| 16 Aug 2026, 19:24 | 2,078 | +16 |
| 13 Aug 2026, 05:56 | 2,062 | +29 |
| 10 Aug 2026, 10:04 | 2,033 | +13 |
| 7 Aug 2026, 07:00 | 2,020 | -1 |
| 6 Aug 2026, 19:48 | 2,021 | first reading |
Engagement
13 posts held, back to 6 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 3 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 2h 11m
- Average length
- 13m 08s
Measured directly from 10 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 10 posts, in 6 distinct kinds. The most used accounts for 30.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 3 | 30.0% | |
| ❤ | 2 | 20.0% | |
| 🥱 | 2 | 20.0% | |
| 💯 | 1 | 10.0% | |
| 😱 | 1 | 10.0% | |
| 🤩 | 1 | 10.0% |
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 10 of the 13 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 13 most recent posts we hold, published 6 August 2026 to 7 August 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
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⬆️参观少女萝莉福利🥰 https://t.me/xingai002 ⬆️浏览战争军事热点🔥 https://t.me/JSXW8
🔥1
年轻的酒店经理实在不想丢掉自己的工作,让老板随时享用自己的肉体 Young Hotel Manager really didn t want to lose his job
❤1
妹妹说她的闺蜜想做爱,但是鸡巴必须得够硬
🥱1
给几个超模做精油SAP,她们提出想做爱 VIXEN Stunning Trio Lia Vanessa Eve Share Alberto s Cock
🤩1
继姐在家时不喜欢穿内裤 Stepsis doesn t like to wear panties around the house
🔥1
避孕套破了,学姐允许我内射她 The CONDOM BROKE so she asked me to FUCK HER IN THE ASS
💯1
纹身女果然更骚,为了打折轻易和纹身师做爱 Voluptous Kayla Green Bound and Fucked Balls Deep
❤1
Photo, posted without a caption
🔥1
为了讨再婚老公,变态妈妈把女儿送给他,让他体验母女双飞的刺激
😱1
Showing the 12 most recent of 13 posts we hold for @xingai001. 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 31 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 21 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.
@agag3148 · 6201 post利博私网一比一|万利私网一比一|AGPG一比一|
@agag64 · 6131 post🏆速搜官方🆔@SSOU反诈群
@chuhaiFZ · 701 post🏆官方速搜Ssou🤝反诈群
@dongnanyaFZ · 751 post🏆速搜官方ssou反诈群
@fanzha77 · 1531 post皇冠网址|皇冠开户|皇冠客服|皇冠正网|皇冠正盘
@huangguanxxl · 1,0091 post亚星代理 欧博代理 亚星私网 欧博私网
@insqunfa_666 · 1,4161 post极限运动|视觉震撼🌈加勒比海盗🌈
@jialebihaidaoa · 1,8281 post中本葱姜蒜
@lastdanc · 3771 post亚星官网🅱️亚星私网🅱️亚星开户🅱️亚星代理
@longteng114778 · 3611 post亚星私网🅰️欧博私网🅰️BBIN宝马会私网🅰️亚星欧博
@oubo41 · 2591 post皇冠百家乐 欧博百家乐 亚星百家乐 亚星代理
@ouboguanfang5 · 8691 post欧博官网|亚星官网|欧博百家乐|亚星百家乐
@oubowwy · 1,0051 post欧博私网|亚星私网|利博私网|欧博包杀|利博包杀
@oubozar · 1,0071 post全球外围🌏菲律宾 | 马来西亚 | 泰国
@quanpiao · 9771 post全球短信API
@speedyabc99955 · 1211 post🏆速搜官方🆔@SSOU反诈群
@ssoufanzha · 861 post利博私网🅰️亚星私网🅰️欧博私网🅰️亚星欧博一比一
@yaxing153 · 3711 post亚星私网/欧博私网/利博私网/亚星欧博百家乐代理
@yaxingdd · 2631 post欧博官网 亚星官网 皇冠官网 皇冠体育
@yaxingsiwang211 · 8491 post欧博私网 欧博代理 亚星私网 亚星代理
@zhongwenbaoxiazai1a · 4831 post
Names
Channels on the register whose handles appear in this channel's posts.
@hutui1bot · 13,3062 posts环球360私网🅰️环球UG私网🅰️利博私网🅰️
@agag3212 · 6591 post爱博体育官方频道
@aibonbcom · 12,8451 post吃瓜群众丨抖音热搜
@ChiGua098 · 1,4081 post亚星/欧博/利博私网/万利私网🅰️环球UG私网
@hgq142 · 7301 post环球360私网🅰️环球UG私网🅰️利博私网🅰️
@hgq54 · 6141 post皇冠代理 皇冠体育 皇冠足球 皇冠开户
@huangguanguanwang8 · 2821 postASMR哄睡 舔耳
@jdjjdjd646644 · 3261 post俄乌|以巴|军事战争冲突
@JSXW8 · 7,8651 post女神热舞|直播录屏
@mienvzhiboluping · 2,6901 post清纯甜美|纯欲天花板 |完美身材|大长腿
@NBshequ · 2,0231 post【七七】网贷数据|股票数据|DPI|SDK|权提|全行业精准数据源头
@qiqi95662 · 2,2941 post国模行色私拍素人写真
@sexiongaaa · 8121 post速搜
@ssou · 215,6741 postTeleTop中文索引官方频道
@TeleTopOrg · 34,0481 post皇冠足球 欧博代理 欧博私网 亚星私网
@TKyinliu_666 · 1,4241 post速搜❤️🔥流量互推/广告交易
@TonAdNews · 11,0551 post182体育 福利频道(PG电子)
@vip182ty4 · 24,5711 postXX789🔞成人资源一站式导航
@xx789 · 7991 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@xingai001 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 11 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“欧美精选” (@xingai001), 2,143 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/xingai001.
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.