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👍6
Signed 广告机器人

Channel
@ZLBNB666
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
52,206subscribers
+2,225 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001676826963 |
|---|---|
| Type | Channel |
| Username | @ZLBNB666 |
| Description | 项目导航链接🔗 https://t.me/ZLBNB666/194 追猎杯唯一频道🥤 https://t.me/+3PoQpTxY0VZjYTll 唯一聊天交流群 https://t.me/+eriIC04LIqU5ODc1 频道广告位 @ChouyuA |
| 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 | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/ZLBNB666 |
Software piracy — 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 64% 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 |
|---|---|---|
| 18 Sept 2026, 07:58 | 52,206 | +137 |
| 15 Sept 2026, 22:39 | 52,069 | +132 |
| 14 Sept 2026, 04:19 | 51,937 | +122 |
| 12 Sept 2026, 12:20 | 51,815 | +83 |
| 10 Sept 2026, 09:19 | 51,732 | +251 |
| 7 Sept 2026, 04:02 | 51,481 | +345 |
| 4 Sept 2026, 11:16 | 51,136 | +373 |
| 2 Sept 2026, 22:55 | 50,763 | +68 |
| 2 Sept 2026, 00:22 | 50,695 | +25 |
| 31 Aug 2026, 21:55 | 50,670 | +58 |
| 31 Aug 2026, 00:35 | 50,612 | +119 |
| 30 Aug 2026, 02:47 | 50,493 | +120 |
| 28 Aug 2026, 23:53 | 50,373 | +131 |
| 28 Aug 2026, 03:23 | 50,242 | +109 |
| 27 Aug 2026, 02:33 | 50,133 | +76 |
| 26 Aug 2026, 02:53 | 50,057 | +62 |
| 25 Aug 2026, 06:16 | 49,995 | +13 |
| 24 Aug 2026, 08:19 | 49,982 | -44 |
| 22 Aug 2026, 13:14 | 50,026 | +7 |
| 21 Aug 2026, 04:34 | 50,019 | first reading |
489 posts held, back to 31 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 109 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. It is computed over the 230 of 232 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 489 (31 July 2026 – 29 September 2026) |
| Views total | 592,673 |
| Reactions total | 5,658 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 05:47 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 29 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.
Measured directly from 42 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.
9,580 reactions across 481 posts, in 28 distinct kinds. The most used accounts for 91.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8,718 | 91.0% | |
| ❤ | 548 | 5.72% | |
| 😍 | 39 | 0.407% | |
| 😡 | 30 | 0.313% | |
| 🤔 | 29 | 0.303% | |
| 😱 | 26 | 0.271% | |
| 🤪 | 26 | 0.271% | |
| 😘 | 20 | 0.209% | |
| 🌚 | 19 | 0.198% | |
| 🐳 | 19 | 0.198% | |
| 🤡 | 17 | 0.177% | |
| 🔥 | 14 | 0.146% | |
| 🎉 | 11 | 0.115% | |
| 🤬 | 11 | 0.115% | |
| 😇 | 10 | 0.104% | |
| 🤩 | 8 | 0.084% | |
| 🥰 | 8 | 0.084% | |
| 😭 | 7 | 0.073% | |
| 👀 | 4 | 0.042% | |
| ⚡ | 3 | 0.031% | |
| 8 further kinds | 13 | 0.136% |
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 484 of the 489 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 9,580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 489 most recent posts we hold, published 31 July 2026 to 29 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ZLBNB666. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 489 most recent posts we hold for this entry, published 31 July 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
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👍6
Signed 广告机器人
❤️库洛米 V32.0 更新内容: 1.尝试修复 A1 接口和谐问题 2.尝试修复 A2 接口和谐问题 3.优化 A4 接口部分人漏人闪烁问题,降低占用,修复提,部分人提示内侧关 4.修复漏人刷新按钮☑️ 5.修复乱码问题 6.修复 APP 显示问题 7.修复悬浮窗初始化等显示问题 8.修复若干问题和 bug 库洛米内置 4 种不同纯算法解密,一条和谐永远有另外一条兜底能玩,A3 接口、A4 接口,理论全部设备都有效果,不易和谐 下单地址🔗 https://luoye.yjsfk.cn/shop/kuluomi886 ❗️❗️➡️点我加入官方频道 ❗️❗️➡️点我加入官方群聊 🤘新手小白教程不懂的点我查看
👍18
和平精英正式服1.38.12.16035全局不拉回加速脚本 发布日期:2026.9.17 当前状态:未和谐正常使用 原理: 通过修改游戏对局时间戳实现不拉回加速效果 ,前几次都是和谐的都是我发布的时间戳分布地址,只要原理不和谐的话不拉回加速可以跑一辈子,因为你和谐我的地址我就继续换个地址改照样不拉回 和谐思路1:修复方案很简单——服务器对对局内时间戳(或全部时间戳)加校验即可彻底和谐不拉回加速. 和谐思路2:改对局时间戳即可实现不拉回加速,稳定可用。目前只校验了部分时间戳地址,没校验的部分和 call 函数调用或者hook都可以直接篡改。建议全量加上校验,就能彻底和谐这类加速 和谐思路3:地铁加速已经和谐 直接把地铁加速校验搬到经典也可以和谐掉 点击查看和平精英不拉回加速效果视频 ps:每段时间自动转发脚本
👍22🌚3
Signed 小学生兔头
BIGFATFISH三角洲公益独家解密 ✅方框-射线-距离-名字 ✅干员-骨骼-血量-手持 ✅适配全部干员显示 ✅护甲-物资-盒子-预警 公益解密卡密点我查看 🌟🙃🌟➡️ @BIGFATFISH6
👍17❤1
狗头专业破解频道以下为破解的业务主要范围 ❤️🎮🎮🎮🎮🎮 如果你是学生党没钱玩项目的话那就进狗头频道 你想玩的游戏收费项目都有!造福学生!打压收费! 🌟🙃🌟➡️ @pj7645 (进频道找你想玩的游戏破解版)
👍34❤1
我觉得说的没错 还是马哥比较懂
👍43❤3
Signed 臭鱼
❤️库洛米 V31.5 更新内容: 新增 A1 接口,占用小,流畅,部分设备人拖框 新增 A2 接口 占用小、流畅、不漏人 优化 A3 接口,a3 有时候会偏框,但有一定时间矫正,占用大 新增 A4 接口,支持驱动 1 和 twt 修复部分人刷不了驱动问题 修复部分人卡顿问题 修复自瞄特征三方问题 重构全部驱动和算法,防止特征 重构驱动一和驱动二 修复 TWT 驱动问题 修复若干问题和 bug 增加稳定性 V 31.5 版本比公益版本稳定性起码提升两倍,新写的算法接口和驱动,杜绝 1/3/7 内置 4 种解密算法,总有一款适合你 下单链接🔗18.8/天 120/周 https://luoye.yjsfk.cn/shop/kuluomi886 ❗️❗️➡️点我加入官方频道 ❗️❗️➡️点我加入官方群聊 🤘新手小白教程不懂的点我查看
👍31
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👍19❤1
Signed 广告机器人
基于 https://t.me/ZLBNB666/22783 写的MVM反编译器反编译的mrpcs虚拟机脚本全源
👍25❤1
Signed 臭鱼
❤️库洛米 V31.5 更新内容: 新增 A1 接口,占用小,流畅,部分设备人拖框 新增 A2 接口 占用小、流畅、不漏人 优化 A3 接口,a3 有时候会偏框,但有一定时间矫正,占用大 新增 A4 接口,支持驱动 1 和 twt 修复部分人刷不了驱动问题 修复部分人卡顿问题 修复自瞄特征三方问题 重构全部驱动和算法,防止特征 重构驱动一和驱动二 修复 TWT 驱动问题 修复若干问题和 bug 增加稳定性 V 31.5 版本比公益版本稳定性起码提升两倍,新写的算法接口和驱动,杜绝 1/3/7 内置 4 种解密算法,总有一款适合你 下单链接🔗18.8/天 120/周 https://luoye.yjsfk.cn/shop/kuluomi886 ❗️❗️➡️点我加入官方频道 ❗️❗️➡️点我加入官方群聊 🤘新手小白教程不懂的点我查看
👍14
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👍17❤1
Signed 广告机器人
和平精英正式服1.38.12.16015全局不拉回加速脚本 发布日期:2026.9.17 当前状态:未和谐正常使用 原理: 通过修改游戏对局时间戳实现不拉回加速效果 ,前几次都是和谐的都是我发布的时间戳分布地址,只要原理不和谐的话不拉回加速可以跑一辈子,因为你和谐我的地址我就继续换个地址改照样不拉回 和谐思路1:修复方案很简单——服务器对对局内时间戳(或全部时间戳)加校验即可彻底和谐不拉回加速. 和谐思路2:改对局时间戳即可实现不拉回加速,稳定可用。目前只校验了部分时间戳地址,没校验的部分和 call 函数调用或者hook都可以直接篡改。建议全量加上校验,就能彻底和谐这类加速 和谐思路3:地铁加速已经和谐 直接把地铁加速校验搬到经典也可以和谐掉 点击查看和平精英不拉回加速效果视频 ps:每段时间自动转发脚本
👍16😍1
Signed 小学生兔头
Showing the 12 most recent of 489 posts we hold for @ZLBNB666. 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.
@ZLBNB666 edited 8 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 2 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“追猎杯通知频道🥤” (@ZLBNB666), 52,206 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ZLBNB666.
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.