个人证件照 (无户籍地址) ❤️❤️ 模版 ☹️ 个人证件照 (带户籍地址) ❤️❤️ 身份证正反面 ❤️❤️❤️ 模版 ☹️ 单户籍地址 ❤️❤️ 盖章个户 模版 ☹️ (诉讼起诉专用) ❤️❤️❤️ 提供:姓名 身份证 出证件照系列 现在可以先来排单 明天中午出单 每天中午12:00 到晚上7.00 开秒 有量有价格 白单千单 盘总来聊 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍6
Channel
@qnsgkbo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
47,998subscribers
+9,130 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003781587413 |
|---|---|
| Type | Channel |
| Usernames | @acfoy @qnsgkbo |
| Description | 机器人bot: @qncdnbbot 人工查询: @xiaoxiao00 备用频道:@xncd88 |
| Created | Between 1 February 2026 and 29 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 116 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/qnsgkbo |
Hacking & security — 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 99% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 06:54 | 47,998 | +85 |
| 9 Nov 2026, 14:36 | 47,913 | +66 |
| 8 Nov 2026, 22:19 | 47,847 | +78 |
| 8 Nov 2026, 06:41 | 47,769 | +111 |
| 7 Nov 2026, 11:48 | 47,658 | +27 |
| 7 Nov 2026, 04:37 | 47,631 | +105 |
| 6 Nov 2026, 11:28 | 47,526 | +23 |
| 6 Nov 2026, 04:25 | 47,503 | +92 |
| 5 Nov 2026, 14:35 | 47,411 | +71 |
| 5 Nov 2026, 04:46 | 47,340 | +46 |
| 4 Nov 2026, 16:07 | 47,294 | +55 |
| 4 Nov 2026, 03:09 | 47,239 | +28 |
| 3 Nov 2026, 13:50 | 47,211 | +11 |
| 3 Nov 2026, 06:18 | 47,200 | +23 |
| 2 Nov 2026, 13:17 | 47,177 | +49 |
| 2 Nov 2026, 07:17 | 47,128 | +74 |
| 1 Nov 2026, 16:31 | 47,054 | +102 |
| 1 Nov 2026, 03:59 | 46,952 | +58 |
| 31 Oct 2026, 13:17 | 46,894 | +41 |
| 31 Oct 2026, 03:48 | 46,853 | first reading |
199 posts held, back to 29 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 181 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 10 November 2026 |
|---|---|
| Posts held | 199 (29 July 2026 – 10 November 2026) |
| Views total | 145,034 |
| Reactions total | 265 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Nov 2026, 07:42 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.
Lifetime counters from Telegram’s own channel header, read 10 November 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.
676 reactions across 173 posts, in 4 distinct kinds. The most used accounts for 62.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 420 | 62.1% | |
| ❤ | 249 | 36.8% | |
| 👏 | 4 | 0.592% | |
| 🙏 | 3 | 0.444% |
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 181 of the 199 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 676 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 199 most recent posts we hold, published 29 July 2026 to 10 November 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’s own ‘edited’ marker: 11 of 46 posts held from the last 30 days (23.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
个人证件照 (无户籍地址) ❤️❤️ 模版 ☹️ 个人证件照 (带户籍地址) ❤️❤️ 身份证正反面 ❤️❤️❤️ 模版 ☹️ 单户籍地址 ❤️❤️ 盖章个户 模版 ☹️ (诉讼起诉专用) ❤️❤️❤️ 提供:姓名 身份证 出证件照系列 现在可以先来排单 明天中午出单 每天中午12:00 到晚上7.00 开秒 有量有价格 白单千单 盘总来聊 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍6
😀支付宝流水 微信流水无上限😀 微信不带ID 模版 ☹️ 支付宝流水带对面id 模版 ☹️ 一个月❤️❤️❤️❤️三个月❤️❤️❤️❤️ 六个月❤️❤️❤️❤️一年 ❤️❤️❤️❤️ 两年 ❤️❤️❤️❤️❤️三年❤️❤️❤️❤️❤️ 温馨提示:保真不保漏 ‼️ 不管出来多少条都按报单时间收费‼️ 无上限周五发车周六回! 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍2
无姓名微反实名 ❤️❤️❤️ 可以提供大概年龄等等会快一些 隔天回单 最晚延迟一天 微反破解身份证 ❤️❤️❤️ (需要姓名 ) 有地区给地区 抖音号查手机号 ❤️❤️❤️ (隔天回单 概率旧版定) 抖音号查实名带手机号 ❤️❤️❤️ (隔天回单 概率旧版定) 支付宝收款码反手机号 ❤️❤️❤️ (跑市 如有一些疑难杂症可能需➕钱) 支付宝反姓名 身份证 手机号 ❤️❤️ 手机号反抖音快手小红书 ❤️❤️❤️ (隔天回单) 银行卡反实名 ❤️❤️❤️ (提供 姓名 银行卡号) 银行卡反手机号 ❤️❤️ (提供 姓名 银行卡号) 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
❤2👍1
名下财产系列 💎 名下银行卡 模版 ☹️ ❤️❤️❤️ 名下车 模版 ☹️ ❤️❤️❤️ 全国名下房产 模版 ☹️ ❤️❤️❤️❤️ 地区名下房产 模版 ☹️ ❤️❤️❤️ 银行卡流水 模版 ☹️ ❤️❤️❤️❤️ 人行征信报告 模版 ☹️ ❤️❤️❤️❤️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
❤1
关于公司业务✔️ 公司法人 ❤️❤️ 模版 ☹️ 个体经营法人 ❤️❤️❤️ 模版 ☹️ 公司股东 董事 ❤️❤️❤️ 模版 ☹️ 名下企业 ❤️❤️❤️ 模版 ☹️ 营业执照查询 ❤️❤️❤️ 模版 ☹️ 公司名下卡 ❤️❤️❤️ 模版 ☹️ 税务局公司发票 ❤️❤️❤️❤️ 一年记录无遗漏 模版 ⚡️ 公司流水卡 模版 ☹️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍8❤1
一年内美团饿了么❤️❤️❤️❤️ 详细 目前空车 来的明天回⚡️ 目前不止外卖还有很多电商购物一体‼️ 1-2天回单 基本上无遗漏 私聊拿模板 带 订单编号 下单人手机号 收货人手机号 收货地址 商家名称 商家地址 商家id 商品详情 提供:手机号 无需身份证 敏感扣单 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍10
代替出生证明 非常好用的业务来了‼️ 集体户籍独户出不来全户的可以看看‼️ 全国疾控预留信息 模版 ❤️❤️❤️ 提供未成年人 基本可以出预留家长的信息 预留家长的手机号 户籍地址现居地址等等 反正就10u 非常推荐大家看看 成年人信息少 可能只出预留手机号预留地址 推荐大家提供未成年人身份证 一般可以出监护的信息 等等 全天秒出 已测试保真‼️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍7❤1
图1社保文档❤️❤️❤️ 模版 ☹️ 提供:名字身份号 查工作单位必备业务 含年月 公司名称 缴费基数 文档回单 近5年缴费记录 图2医社保缴费记录❤️❤️❤️ 模版 ☹️ 提供:名字身份号 查工作单位必备业务 含日期 公司名称 没缴费基数 文档回单 从缴费到至今 当天回人在秒 保真不保遗漏 新 一年社保缴费记录 ❤️❤️ 模版 ☹️ 含日期 公司名称 没缴费基数 文档回单 一年缴费到至今 全天秒出 全天秒出‼️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍7
高德轨迹 在秒 模版 ☹️ ❤️❤️❤️❤️ 这已经是我n次推荐这个业务了!想必大家也知道这个业务的可靠性 是我所有业务里面最推荐的找人业务 便宜好用不贵! 里面啥都有 打车记录导航记录去过的地方 都有 抓人神器 比美团 邮政 各种外卖快递都好 敏感提前说加钱出 不提前说收费不出单! 报单提供 姓名 身份证 手机号 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍9❤2
图二 医疗记录 ❤️❤️❤️ 模版 ☹️ 提供 姓名 身份证号 查五年记录 以前老版本 带医院名称 时间 支付金额 大部分都带医疗名称 就诊号 推荐 全天24小时秒出‼️‼️‼️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xncdnb888
👍12
高德地图轨迹 开!❤️❤️❤️❤️ 模版 ☹️ 老线回归 稳定回单 渠道在线 就秒回单 独家渠道 全网唯一 历史所有去过地址 历史所有打车记录 高德机票记录 高德订酒店 能出酒店记录 他历史旅游记录+时间 所有导航记录 没有遗漏 概率出车牌号 只要在高德上使用过的都能显示 抓人神器 比美团 邮政 各种外卖快递都好 敏感提前说加钱出 不提前说收费不出单! 报单提供 姓名 身份证 手机号 联系方式 ✈️ @xncdnb888
👍6
出单反馈记录每天都在出单~ 深耕查档多年 靠谱效率稳定🥇 多年感谢各位新老客户的信赖✅ 汇旺改名了好旺没了❌ 土豆倒闭了新币跑路了❌ 我们永远都在 诚信经营~ ❤️❤️❤️❤️🤝❤️❤️❤️❤️ 还有很多出单记录就不发了 专注流水名下卡批量单等众多源头业务给大家看看就好 需要查档的可以联系我长期合作 寻律师盘口合作 有量有价格 ✔️ 以上所有业务均支持 人民币u 担保交易 点击此处查看频道大部分业务 联系方式 ✈️ @xiaoxiao00
👍4❤2
Showing the 12 most recent of 199 posts we hold for @qnsgkbo. 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.
@qnsgkbo edited 5 posts 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.
We recorded 6 posts on @qnsgkbo as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
@qnsgkbo named 3 handles 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.
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.
References a handle that is not a live channel — we have no record it ever was one.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“小念(只做优势业务)” (@qnsgkbo), 47,998 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/qnsgkbo.
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.