🥰推荐一个不错的暗网搜索资源频道 ❤️ https://t.me/LSJPJAPK
👍6❤2

Channel
@XQFXS
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Citations · Cite this entry
165,808subscribers
+9,560 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002248161152 |
|---|---|
| Type | Channel |
| Username | @XQFXS |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/XQFXS |
Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 09:37 | 165,808 | +824 |
| 7 Sept 2026, 01:37 | 164,984 | +675 |
| 4 Sept 2026, 08:17 | 164,309 | +288 |
| 3 Sept 2026, 00:09 | 164,021 | +273 |
| 1 Sept 2026, 20:35 | 163,748 | +263 |
| 31 Aug 2026, 23:17 | 163,485 | +287 |
| 30 Aug 2026, 22:25 | 163,198 | +229 |
| 29 Aug 2026, 21:25 | 162,969 | +256 |
| 28 Aug 2026, 22:37 | 162,713 | +240 |
| 27 Aug 2026, 23:32 | 162,473 | +262 |
| 27 Aug 2026, 00:43 | 162,211 | +328 |
| 25 Aug 2026, 21:56 | 161,883 | +267 |
| 24 Aug 2026, 23:42 | 161,616 | +499 |
| 23 Aug 2026, 07:05 | 161,117 | +399 |
| 21 Aug 2026, 19:25 | 160,718 | +438 |
| 20 Aug 2026, 15:04 | 160,280 | +331 |
| 19 Aug 2026, 17:28 | 159,949 | +478 |
| 18 Aug 2026, 14:44 | 159,471 | +391 |
| 17 Aug 2026, 14:07 | 159,080 | +431 |
| 16 Aug 2026, 07:07 | 158,649 | first reading |
232 posts held, back to 5 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 90 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 232 (5 August 2026 – 9 September 2026) |
| Views total | 1,294,860 |
| Reactions total | 1,649 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 09:26 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.
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.
1,848 reactions across 230 posts, in 18 distinct kinds. The most used accounts for 67.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,246 | 67.4% | |
| ❤ | 450 | 24.4% | |
| 👌 | 54 | 2.92% | |
| 🤣 | 37 | 2.00% | |
| 🔥 | 14 | 0.758% | |
| 🥰 | 14 | 0.758% | |
| 😭 | 6 | 0.325% | |
| 🦄 | 5 | 0.271% | |
| 🫡 | 5 | 0.271% | |
| 🤩 | 4 | 0.216% | |
| 👏 | 3 | 0.162% | |
| 💯 | 2 | 0.108% | |
| 🤔 | 2 | 0.108% | |
| 🤝 | 2 | 0.108% | |
| ❤🔥 | 1 | 0.054% | |
| 😍 | 1 | 0.054% | |
| 🤨 | 1 | 0.054% | |
| 🤪 | 1 | 0.054% |
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 230 of the 232 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 1,848 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 232 most recent posts we hold, published 5 August 2026 to 9 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 232 most recent posts we hold, published 5 August 2026 to 9 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🥰推荐一个不错的暗网搜索资源频道 ❤️ https://t.me/LSJPJAPK
👍6❤2
🥰标题:Cmbok_1.0.9_去广告纯净版 🌈简介:找漫画,不妨试试cmbok,这款开源工具可多源检索全网资源,自动转换为EPUB格式,专门适配墨水屏阅读,支持跨设备同步收藏,还能联动Koodo Reader统一管理资源,纯净无广告. 📃下载地址:在线下载‖漫源获取 😘 标签:#影视 #漫画 #番剧仓
👍8❤1
🌟 全球 100+ 个稳定节点,多端同时在线,订阅一键导入 🔥 高速安全访问全球网络,无论身在何方,都像在家上网 🥉 支持 Windows/Android/Mac 所有设备使用 🏅 国际高速专线节点,采用优质线路,高清秒开 🎖 最高 5Gbps 传输速度,无限速,无广告,无限流量 🎗 专业加密隧道,保护用户隐私,安全可靠 🏵 顶级实力团队,自研 APP,长期稳定运营有保障 ✅ 支持支付宝 / 微信支付 /USDT 支付,便捷高效 🏅 牢记永久官网: ❄️ 免费试用 ➡️ https://tl.vpnvpn.com/?utm_medium=tl&utm_campaign=jisou&utm_source=vpn5 ❄️ 飞鸟 VPN 加速器 TG 官方客服 @feiniaojsbot ❄️ 飞鸟 VPN 加速器 TG 官方客服 @fnotoy #AD #广告 #推广
👍7❤2
🥰标题:水獭音乐_2.7.5_聚合海量音乐 🌈简介:收录海内外热门曲目,无损音质播放,支持歌曲缓存、自建歌单,播放丝滑,界面清爽,听歌体验出色. 📃下载地址:在线下载‖百度云盘 😘 标签:#音乐 #多源 #水獭音乐
👍8
🥰标题:小狐狸VPN_1.5.1_极速版 🌈简介:流畅不卡顿、流量随便用超自在,想看瞬间启动;全球节点全覆盖,一键轻松连接,解锁海量好内容,畅玩Netflix、YouTube等海外热门应用。军工级加密护航,零日志严守+全方位护隐私,体验超棒,辣辣自用好久的同款VPN,特意安利给你. 📃下载地址:在线下载‖蓝奏云盘 😘 标签:#加速器 #VPN #小狐狸
👍6❤1
🥰标题:禁漫天堂_2.1.6_内置模块板 🌈简介:漫迷专属追漫神器!小众宝藏漫画超多,加载快翻页丝滑,屏蔽跳转广告,沉浸式安心看漫. 📃下载地址:在线下载‖百度云盘 😘 标签:#开车 #福利 #禁漫天堂
👍7❤2
香蕉视频-免费看H片 🥰精品推荐免费看片App🥰 ⏺国产黑料 × 免费极速观看 💋日韩大片 × 免费极速观看 💄城人禁漫 × 免费极速观看 ❤️声音电台 × 免费极速观看 🥰体验超级好从不做标题党 🥰在线秒下载 💗iOS 在线秒下载
👍6❤3
🥰标题:动漫共和国_1.0.0.8_去广告版 🌈简介:专注于动漫内容聚合的软件,海量资源,播放起来也是非常丝滑,热门国漫有4K,无需登录即使用,应水友要求已修复,可丝滑观看. 📃下载地址:在线下载‖百度云盘 😘 标签:#动漫 #番剧 #动漫共和国
👍8
🥰标题:十几个最强看片观影神器 🌈简介:萝力岛,全球萝力,名流桃色秘闻,最大猎奇原创乱轮平台,挑战自己 ⚡️释放天性,全球伦友聚集地、最强看片神器,暗网猎奇国产. 📃下载地址:在线下载‖蓝奏云盘 😘 标签:#开车 #福利 #看片
👍6
🥰标题:CCleaner_26.16.1_高级版 🌈简介:自定义垃圾清理规则,深度清理系统与应用缓存垃圾,支持清理临时文件、历史记录、注册表冗余信息,附带软件卸载,无间谍软件与捆绑程序. 📃下载地址:在线下载‖百度云盘 😘标签:#工具 #清理 #安卓清理君
👍8
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6024929853
👍6❤1
聚合全网各大平台最新电影、剧集、综艺、动漫,蓝光4K多线路超清画质,支持离线下载、倍速播放、一键投屏、实时发弹幕,全程免费无广告,一站式畅享纯净观影体验,非常不错. #影视 #电影天堂
👍7❤1
Showing the 12 most recent of 232 posts we hold for @XQFXS. 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.
@XQFXS edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“小七分享社-破解软件VPN” (@XQFXS), 165,808 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/XQFXS.
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.