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Channel

𝐙𝐆𝐐 ɪɴᴄ.的唠嗑频道

@CopyRightZGQInc

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

8,733subscribers

+741 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001447672618
TypeChannel
Username@CopyRightZGQInc
Description个人主页: domain.zgqinc.gq 博客: blog.zgqinc.gq
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/CopyRightZGQInc

Topic

Technology — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

7,9288,7338,330.56 August 2026 — 7,992 subscribers6 August 2026 — 7,992 subscribers6 August 2026 — 7,991 subscribers9 August 2026 — 7,976 subscribers12 August 2026 — 7,928 subscribers16 August 2026 — 7,968 subscribers19 August 2026 — 7,978 subscribers22 August 2026 — 7,999 subscribers26 August 2026 — 8,021 subscribers29 August 2026 — 8,037 subscribers1 September 2026 — 8,056 subscribers4 September 2026 — 8,095 subscribers9 September 2026 — 8,136 subscribers13 September 2026 — 8,180 subscribers17 September 2026 — 8,218 subscribers26 September 2026 — 8,244 subscribers5 October 2026 — 8,338 subscribers11 October 2026 — 8,428 subscribers15 October 2026 — 8,478 subscribers17 October 2026 — 8,518 subscribers20 October 2026 — 8,570 subscribers23 October 2026 — 8,612 subscribers26 October 2026 — 8,625 subscribers29 October 2026 — 8,674 subscribers2 November 2026 — 8,698 subscribers5 November 2026 — 8,712 subscribers8 November 2026 — 8,733 subscribers6 August 20268 November 2026
27 measurements spanning 94 days, net +741. 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 7,807–8,854 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Nov 2026, 13:168,733+21
5 Nov 2026, 00:218,712+14
2 Nov 2026, 05:278,698+24
29 Oct 2026, 23:358,674+49
26 Oct 2026, 21:408,625+13
23 Oct 2026, 11:508,612+42
20 Oct 2026, 22:318,570+52
17 Oct 2026, 22:478,518+40
15 Oct 2026, 00:348,478+50
11 Oct 2026, 14:178,428+90
5 Oct 2026, 02:388,338+94
26 Sept 2026, 10:598,244+26
17 Sept 2026, 20:178,218+38
13 Sept 2026, 19:588,180+44
9 Sept 2026, 23:588,136+41
4 Sept 2026, 17:418,095+39
1 Sept 2026, 03:158,056+19
29 Aug 2026, 01:448,037+16
26 Aug 2026, 02:158,021+22
22 Aug 2026, 16:177,999first reading

Engagement

64 posts held, back to 17 June 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 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.1%
avg views ÷ 8,733 subscribers
Avg views / post
1,580
18 posts measured
Reaction rate
0.402%
reactions ÷ views · ER floor
Posts in window
18
of 64 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. It is computed over the 13 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held64 (17 June 2026 – 10 November 2026)
Views total28,462
Reactions total82
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 12:55 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
859
Videos
67
Links
917

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
1m 31s
Average length
30s

Measured directly from 3 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

565 reactions across 36 posts, in 23 distinct kinds. The most used accounts for 19.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10819.1%
👍6711.9%
🔥5910.4%
😍386.73%
🤩366.37%
💯356.19%
❤‍🔥346.02%
🎉346.02%
🥰335.84%
😭325.66%
😁315.49%
😢142.48%
💘122.12%
🏆61.06%
💅50.885%
🤔50.885%
🤪50.885%
🍌30.531%
🤣30.531%
🐳20.354%
3 further kinds30.531%

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 41 of the 64 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 565 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 64 most recent posts we hold, published 17 June 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.

Recent posts

Telegram’s own ‘edited’ marker: 10 of 18 posts held from the last 30 days (55.6%) 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).

10 Nov 2026, 19:42 UTC502 views3 reactionsread 12 November 2026

​《危笑乐园》(Giggleland)全文本深度汉化补丁发布与底层本地化缺陷逆向实录(附全笔记存档与 Telegram 贴纸包) 深度解析独立恐怖解谜游戏《危笑乐园》(Giggleland)官方未实装中文背后的引擎逻辑缺陷:揭秘 LocalizationData 键值匹配失效机制与场景硬编码文本,攻克 Unity 64 位 Big-Endian 资源重定位补丁难题;全流程通关回归测试修复隐藏结局与小游戏汉化,内附独家全笔记存档、抉择点直达隐藏结局存档、GitHub 开源 Release 直链及高画质 Telegram 贴纸/Emoji 表情包。 📖 查看全文 #ID_giggle

👍2❤1

Signed ZGQ Inc.'s Blog 博客助手

8 Nov 2026, 09:18 UTC≈1,370 views8 reactionsread 12 November 2026

https://blog.zgqinc.gq/posts/syshlp/ epcdiy发视频了,那我想我也应该把文章公开一下,同时评论区已经开放。之前锁定主要是怕被舆论影响导致我的规范报告也被一刀切,在对比了内容之后可以确定文章内容和视频完全匹配,而且补充了视频里面没有提到的SystemHelper本身的行为机制,就是native层的逻辑,视频几乎都在聚焦安全管家偷偷录屏,也算是补充了我的报告没有的那部分。关于epcdiy质疑AI报告不可信,那我认为还是要看用户自身水平,批评的前提是非专业人员滥用AI,这件事的源头就是推特上一篇推文,我一开始也是看到了这篇文章,感觉太玄乎了才自己让Gemini使用我电脑里面的JADX和Ghidra进行逆向分析,置信度非常高,且录屏谣言也被证伪,推测是原推文作者使用的AI出现了幻觉所致。 只能说排名前十的模型逻辑在线,就是会不会用的问题,不要指望智能体变成你的外挂大脑,谷歌带善人给你白嫖套餐还有…

🤣3❤2😁2🫡1

Signed 𝐙𝐆𝐐 ɪɴᴄ.

7 Nov 2026, 12:41 UTC≈1,140 views3 reactionsread 12 November 2026

https://bingo.zgqinc.gq/ 很久以前就琢磨着要做的,由于工作量太大就放弃了,最近汉化了2张图,想起来这回事,借助Gemini的MoE识图当苦力神力搓出来了。 如果你想补充图库也欢迎开Issues。

❤3

Signed 𝐙𝐆𝐐 ɪɴᴄ.

5 Nov 2026, 10:45 UTC≈1,340 views1 reactionsread 12 November 2026

​教程:翻车与神级反转!以《The Classrooms》实战起底 Steam 物品强校验与资产层“后门” 硬核避坑与绝妙反转:解析为什么常规 SmokeAPI 会在强校验游戏中折戟?深度追踪《The Classrooms》内部的 SteamInventory 签名序列化拦截链,并实操揭秘开发者遗留在 CommerceCatalog 中的原生免内购开关——修改 3 个字节实现零侵入、纯正版全解锁! 📖 查看全文 #ID_c8k3m9

💘1

Signed ZGQ Inc.'s Blog 博客助手

4 Nov 2026, 11:08 UTC≈1,370 views9 reactionsread 12 November 2026

​86 元官方支架平替!MINIWARE AirGo 140 3D 打印“双模自动休眠支架”开源实测 —— 桌面机械自重联动 + 12.4mm 超薄便携双版本设计全解 在完成了 MINIWARE AirGo 140 便携热风枪的深度硬核拆解后,面对官方单卖高达 86 元且存在‘枪头朝下余热倒灌烤化塑料/桌面’严重结构缺陷的原厂钣金支架,我决定依托拆解中精准锁定的圣邦微 SGMICRO 204NS 霍尔传感器物理坐标,自主逆向研发一套完美的 3D 打印替代方案!历经数轮实物打印与运动学迭代,现正式开源发布‘双模自动休眠支架’:桌面活动联动版(仰角 65° 朝上防吹融、屏幕朝上自重杠杆下压磁铁休眠、0.8mm 焊锡丝免螺丝转轴、集成 6 格阻容元件盘、0 支撑打印)与超薄便携版(叠合仅 12.4mm 完美塞进原厂拉链收纳包、2 件式燕尾自锁滑轨、正面朝下直触感应)。内附完整 BOM 清单、切片参数、多场景实拍与 MakerWorl…

👍9

Signed ZGQ Inc.'s Blog 博客助手

3 Nov 2026, 04:38 UTC≈1,490 views3 reactionsread 12 November 2026
Photo

Antigravity 安卓端开启Beta公测,注意不是那个远程控制,是实打实的安卓电脑跑Agent。但是需要原生终端,对就是那个谷歌画大饼画了3年,去年才实装的那个,要求设备必须支持AVF和pKVM,其实只需要看AVF是否支持,支持这个那厂商也会支持pKVM,而且目前UI只适配了PC/平板端,买台Pixel平板应该是不亏。我手里目前没有支持的设备,后面有机会试试看。 更新:刚刚实测发现小米17PM能打开终端,但是也弹出这个错误。正在寻找Pixel设备。 查询设备是否支持AVF: pm list features | grep virt 有输出就代表支持。 下载Antigravity Beta: https://www.apkmirror.com/apk/google-inc/google-antigravity-desktop/ 下载终端: https://www.apkmirror.com/apk/google-inc/te…

👍3

Signed 𝐙𝐆𝐐 ɪɴᴄ.

2 Nov 2026, 18:40 UTC≈1,020 views0 reactionsread 12 November 2026

​全网首拆!MINIWARE AirGo 140 便携热风枪深度拆解与硬件架构全景分析 —— 140W PD 3.1 掌上拆焊神器内部秘密(附自制 3D 打印休眠支架预告) 刚入手测试完 MINIWARE AirGo 140 便携热风枪,便难掩好奇心将其大卸八块!这大概是全网首个 AirGo 140 的深度硬核拆解。本文全面剖析其如何在仅 30mm 纤细笔身内驾驭 140W PD 3.1 EPR 28V 高压:独特的环形前进风尾流循环风道、双层立体 PCB 堆叠结构、沁恒 CH32F208 Cortex-M3 主控 + 至盛 ACM6732 三相无刷电机驱动、捷捷微电 1.2mΩ 极低内阻加热开关管、美芯微 MX5050T 理想二极管控制器、圣邦微 204NS 磁吸休眠霍尔传感器、ADI AD8591 轨到轨热电偶运放,以及尾插夹层 PD 芯片分析。文末奉上完整系统架构 Mermaid 拓扑图与全套核心元器件规格表。此外,因官…

Signed ZGQ Inc.'s Blog 博客助手

31 Oct 2026, 18:28 UTC≈1,160 viewsread 12 November 2026

​极客折腾:全套 140W PD 3.1 EPR 桌面工作台达成 —— MINIWARE AirGo140 便携热风枪与影器 CC700 700W 充电坞实测 时隔 8 个月,PD 供电便携热风枪的执念终于落地!405 元入手 MINIWARE AirGo 140,配合 193 元升级的菲尼瑞斯 HT-P1B 140W 加热台,并以 407 元打造“影器 CC700 + 长城 CRPS 1200W 服务器电源” 5 口独立 700W PD3.1 供电站。连同原有的正点原子 T90B 140W 烙铁与菲尼瑞斯 DPS-150 数控电源,整张维修桌全套 5 款核心工具彻底实现 140W PD 3.1 EPR 满血闭环!奉上 AirGo 140 升温与拆焊实测数据、CC700 充电坞协议评测及全套设备深度盘点。 📖 查看全文 #ID_pd31gw

Signed ZGQ Inc.'s Blog 博客助手

28 Oct 2026, 18:16 UTC≈1,460 viewsread 12 November 2026

(Kansai Kemoket 11) [Piporindou (Piporinton)] Kemosota Wakarase | 让傲慢兽太认清现实 [Chinese] https://e-hentai.org/g/4287593/5b61cd7618/ (Shinsun Kemoket 11) [Piporindou (Piporinton)] Shonen to Kemoshota to Spattsu to | 少年、兽太与紧身短裤 [Digital] [Chinese] https://e-hentai.org/g/4287912/7f371aa1c7/

Signed 𝐙𝐆𝐐 ɪɴᴄ.

27 Oct 2026, 17:27 UTC≈1,730 viewsread 12 November 2026

https://www.eniacelec.com/zh/products/tickey 没想到已经有人做了,方案开源,就是元件类型完全告知,提供开发接口,但是PCB和外壳闭源防止一键抄作业,厚度和参数和生态完全打不过,毕竟没有源头工厂给我提供超薄电池和彩色裸屏,看了一眼参数给我干自闭了,没想到到最后唯一的优点就只是我更能堆料,不然就是性价比高一点。 他们还做了个仿Touch Bar,就是这个价格望而却步。

Signed 𝐙𝐆𝐐 ɪɴᴄ.

27 Oct 2026, 10:35 UTC≈3,260 views8 reactionsread 12 November 2026

​深度排查:E-Hentai / ExHentai“画廊神隐”与 404 之谜——从 EhViewer 源码到出口 IP 区域风控的逆向分析 深度破解 E-Hentai / ExHentai 画廊无故报 404 且搜索作品凭空缩水的诡异现象。实测证实:EhViewer 客户端与浏览器网页版完全对等,没有任何黑魔法,只要切换出口节点在两端均能 100% 稳定复现!通过全球跨洲多节点对照实测(美日韩台港英及德澳法低法抗地区),彻底揭开 E 站专门针对日本本土 Geo-IP 实施的定向版权合规软屏蔽机制。实锤地区风控绝对凌驾于里站特权之上,剖析流式逐页鉴权导致的“大图全篇 null”雪崩机理,并输出严谨的真有效分流方案与避坑辟谣。 📖 查看全文 #ID_eh404g

👍6❤2

Signed Blog Bot

26 Oct 2026, 10:14 UTC≈1,690 views1 reactionsread 12 November 2026

撕下的不是膜,是美资本主义的遮羞布。 如果你买了iPhone Duo,请轻柔对待它,你1万6买的不是手机,是花瓶。 不要快速开合和尝试反折,屏幕会坏: https://youtube.com/watch?v=wtP7Q9Io90I 不要让铰链进颗粒异物,屏幕会坏: https://youtube.com/watch?v=u37MCjv3_DY 不要摔,屏幕会坏: https://youtube.com/watch?v=nh34YMlN2mM 不要撕膜,会一下子回到3年前: https://youtube.com/watch?v=Bo2Y27bnkwI 什么你说你买的三星折叠屏?哎呀那就随便造。 如果想要400元以内最好的磨砂膜,那就花十几元买张内屏磨砂膜吧,苹果同款纳米工艺,轻松消除折痕,缺点是屏幕会和苹果一样暗淡。 顺便这里有个线报,闪魔的三星Fold7内屏水凝膜正在清仓,2片仅需12.9,带自动修复划痕的效果,用了半个月…

😭1

Signed 𝐙𝐆𝐐 ɪɴᴄ.

Showing the 12 most recent of 64 posts we hold for @CopyRightZGQInc. 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.

Posts edited after publishing

@CopyRightZGQInc edited 2 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.

First edit seen
25 August 2026
Most recent edit
11 November 2026

Forward network

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.

Mentions

Named by 4 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Voyla 搜书 | 推书| 求书
@voyla · 93,580
Telegram ranks this channel #43 of 56 here — alongside 55 others — read 17 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“𝐙𝐆𝐐 ɪɴᴄ.的唠嗑频道” (@CopyRightZGQInc), 8,733 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/CopyRightZGQInc.

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.