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Channel

AI极客资源软件工具

@AIGeekAPP

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

37,820subscribers

-3,625 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002753601745
TypeChannel
Username@AIGeekAPP
Description专注分享各种高质量网站、高效实用应用、破解脚本工具、APP、开源项目与各种黑科技等一切好玩的东西🚀,以及偶尔开开车🚗 📮合作/反馈 @KL066 #AI #Android #IOS #Windowns #MacOS #APP #VPN #SEO #GitHub #极客 #破解 #软件 #插件 #脚本 #外挂 #游戏 #安卓 #苹果 #电脑 #源码 #代码 #搭建 #开发 #爬虫 #渗透 #劫持 #站长 #黑客 #区块链 #人工智能
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/AIGeekAPP

Topic

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 96% 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

37,82041,44539,632.57 August 2026 — 41,445 subscribers7 August 2026 — 41,419 subscribers8 August 2026 — 41,365 subscribers9 August 2026 — 41,271 subscribers10 August 2026 — 41,152 subscribers11 August 2026 — 41,023 subscribers12 August 2026 — 40,960 subscribers14 August 2026 — 40,774 subscribers15 August 2026 — 40,695 subscribers16 August 2026 — 40,565 subscribers17 August 2026 — 40,447 subscribers18 August 2026 — 40,218 subscribers19 August 2026 — 40,079 subscribers20 August 2026 — 40,000 subscribers22 August 2026 — 39,935 subscribers23 August 2026 — 39,795 subscribers25 August 2026 — 39,696 subscribers25 August 2026 — 39,603 subscribers26 August 2026 — 39,524 subscribers27 August 2026 — 39,492 subscribers28 August 2026 — 39,459 subscribers29 August 2026 — 39,433 subscribers30 August 2026 — 39,390 subscribers31 August 2026 — 39,302 subscribers1 September 2026 — 39,150 subscribers2 September 2026 — 39,001 subscribers4 September 2026 — 38,893 subscribers7 September 2026 — 38,586 subscribers10 September 2026 — 38,235 subscribers12 September 2026 — 38,049 subscribers14 September 2026 — 37,916 subscribers16 September 2026 — 37,864 subscribers18 September 2026 — 37,820 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net -3,625. 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 37,276–41,989 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 03:2037,820-44
16 Sept 2026, 01:5737,864-52
14 Sept 2026, 05:1537,916-133
12 Sept 2026, 13:4138,049-186
10 Sept 2026, 11:5738,235-351
7 Sept 2026, 07:4138,586-307
4 Sept 2026, 10:0238,893-108
2 Sept 2026, 23:1839,001-149
1 Sept 2026, 22:2639,150-152
31 Aug 2026, 20:3639,302-88
30 Aug 2026, 19:2539,390-43
29 Aug 2026, 19:5639,433-26
28 Aug 2026, 21:5239,459-33
27 Aug 2026, 23:5739,492-32
26 Aug 2026, 22:2439,524-79
25 Aug 2026, 22:5539,603-93
25 Aug 2026, 00:4339,696-99
23 Aug 2026, 14:4439,795-140
22 Aug 2026, 04:3739,935-65
20 Aug 2026, 22:2640,000first reading

Engagement

293 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 92 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.655%
avg views ÷ 37,820 subscribers
Avg views / post
248
151 posts measured
Reaction rate
0.346%
reactions ÷ views · ER floor
Posts in window
151
of 293 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 18 of 151 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 27 September 2026
Posts held293 (5 August 2026 – 27 September 2026)
Views total37,405
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 14:51 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
≈2,740
Videos
≈443
Links
≈3,090

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5m 04s
Average length
51s

Measured directly from 6 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

21 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1257.1%
❤628.6%
❤‍🔥14.76%
🔥14.76%
🥰14.76%

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 21 of the 293 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 293 most recent posts we hold, published 5 August 2026 to 27 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.

Recent posts

27 Sept 2026, 07:13 UTC≈4,640 viewsread 27 September 2026
Photo

✏️ 软件名称:mpv-Yaozhi 💻 软件功能:视频播放器 ✅ 支持平台:#Windows 📌 工具标签:#蓝光原盘 #杜比视界 #影音神器 📝 软件简介:一套专为 Windows 打造的“开箱即用” mpv 整合发行版,底层采用自维护自编译的 mpv 核心(深度定制补丁链 + gpu-next),把原盘菜单导航、杜比视界/国产标准硬解与现代化中文 UI 彻底打包成懒人全家桶。 🔥 核心场景: 本地蓝光/DVD 原盘免折腾播放:拖入 BDMV 目录或 ISO 镜像直接呼出完整的原盘菜单(支持动态 BD-J Java 菜单和 HDMV 菜单),自带配套 Java 环境,不用在系统里额外配 JRE。 网盘直链与归档直接看:内置集成 AList / OpenList、WebDAV、HTTPS 媒体直链挂载,甚至能直接解码播放 ZIP / RAR 压缩包内的视频,且自动隐藏网盘账号密钥。 客厅家庭影院沉浸音轨输…

27 Sept 2026, 07:12 UTC≈4,400 viewsread 27 September 2026
Photo

✏️ 项目名称:Crucix 💻 项目功能:情报系统 📌 工具标签:#OSINT #自动化监控 #TelegramBot 📝 项目简介:一款运行在本地、零云端依赖的开源个人情报终端,底层聚合了全球 27 个公开开源情报数据源,每 15 分钟自动化跨域扫描并计算情报增量变化。 🔥 核心场景: 全球突发异动多维盯盘:把 NASA 卫星火情、ADSB 异常航班轨迹、Safecast 核辐射监测、地缘冲突事件、马六甲等海运咽喉航道状态整合在同一个贾维斯风格大屏上。 双向 Telegram / Discord 情报推送:发现局部重大冲突或指标异常时,自动分级推送到你的 TG 或 Discord;随时用手机发送 /brief 获取全局情报简报,或用 /sweep 远程强制触发全网扫描。 宏观指标与预测市场套利参考:自动抓取 VIX、高收益债利差、大宗商品等实时行情,并联动大模型交叉比对现实世界异动与预测市场,直接输出可落地的…

27 Sept 2026, 07:11 UTC≈4,220 viewsread 27 September 2026
Photo

✏️ 网站名称:HowToDraw 💻 网站功能:绘图教学库 📌 工具标签:#手账素材 #绘画自学 #简笔画教程 📝 网站简介:一款面向绘画零基础、手残党和儿童的交互式分解绘图教学库,把任何复杂物体拆解为 6–15 个极简基础形状的图解指南。 🔥 核心场景: 儿童与家庭亲子互动:不需要报昂贵的美术网课,直接在平板或电脑上挑动物、交通工具、食物,跟着几根线几圈圆一步一步画。 手账与涂鸦素材速成:想在日常笔记、手账、白板会议或思维导图里随手画个小插画(比如汽车、猫咪、小房屋),5 分钟就能学会画法骨架。 课堂与教学打印练习:提供全步骤概览(All-steps Overview),老师或家长可以直接一键打印成纸质线稿 Worksheet 让孩子线下临摹。 动漫与二次元简笔入门:针对眼睛高光、面部三庭比例、动漫发丝轮廓等典型日系画法,用最接地气的“C形线条 / U形鼻”做傻瓜式拆解。 🌐 网站地址:点击直达

27 Sept 2026, 07:11 UTC≈4,930 viewsread 27 September 2026
Photo

✏️ 项目名称:米饭云盘 💻 项目功能:图床 📌 工具标签:#自建图床 #Telegram #网盘工具 📝 项目简介:一个把 Telegram Channel 当作无限容量持久化后端的轻量级免落盘文件系统与自建图床的工具。 🔥 核心场景: Markdown / 博客专属外链图床:为 Obsidian、Typora 或 Hexo/Hugo 等博客提供稳定图片直链,支持生成缩略图与即时预览,不花一分钱对象存储费用。 脚本与自动化截图归档:爬虫爬取的内容、定时报表、服务器监控快照,直接调 REST API 往里塞,彻底解放小鸡服务器的有限磁盘。

27 Sept 2026, 07:03 UTC≈3,990 viewsread 27 September 2026
Photo

还在为VPN付费心疼?😩 告别广告轰炸和龟速卡顿! 🚀 迅驰VPN —— 真正完全免费的极速加速器! ✅️ 完全免费使用 · 无需看广告 · 无限畅享 ✅️ 全球高速节点 · 一键加速 · 速度飞起 ✅️ 稳定可靠 · 不掉线 · 专为Telegram优化 Telegram真实使用场景实测:

27 Sept 2026, 04:13 UTC≈4,480 views1 reactionsread 27 September 2026
Photo

🔥 海外华人 & 留学生必备神器 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎬 海外畅享国内视频、音乐、直播,解锁地区限制 🎮 国服手游超低延迟,不卡顿、不掉线、稳定畅玩 🔒 专线加密传输,隐私安全有保障,多设备通用 😀 下载直达: ddjsq.vip/v163 😀新用户免费试用,晚高峰依旧丝滑流畅 😀在海外追剧、听歌、打游戏,有它就够了!

👍1

26 Sept 2026, 17:36 UTC≈4,510 viewsread 27 September 2026

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26 Sept 2026, 04:13 UTC41 viewsread 27 September 2026
Photo

🔥 海外华人 & 留学生必备神器 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎬 海外畅享国内视频、音乐、直播,解锁地区限制 🎮 国服手游超低延迟,不卡顿、不掉线、稳定畅玩 🔒 专线加密传输,隐私安全有保障,多设备通用 😀 下载直达: ddjsq.vip/v163 😀新用户免费试用,晚高峰依旧丝滑流畅 😀在海外追剧、听歌、打游戏,有它就够了!

26 Sept 2026, 03:13 UTC40 viewsread 27 September 2026
Video

✏️ 项目名称:StaticShield 💻 项目功能:网页加密工具 📌 工具标签:#Web安全 #前端开发 #静态托管 #加密工具 📝 项目简介:一个把 HTML 页面及其静态资源打包成“自解密单文件”的纯前端静态网页加密工具。 🔥 核心场景: 自建免后端的私密展示页:把敏感的工作汇报、排班表、私密简历直接挂在 GitHub Pages 或 CDN,没有密码任何人只能看到锁屏卡片,输入正确密码才在浏览器端即时还原展示。 整站资源全内联打包:告别单纯加密 HTML 导致外部 CSS/JS/图片裸奔或丢失的问题,一键把相对路径引用的样式、脚本和图片全转为内联/Base64 后加密,产出干净的单文件。 零依赖一键分发:直接生成带 Hash 密码的免密分享链接(解密后立刻清除 URL Hash),或者设置本机记住密码(7 天/自定义),发给指定同事点开即看。 🌐 项目地址:点击直达

26 Sept 2026, 03:12 UTC37 viewsread 27 September 2026
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✏️ 软件名称:屏译 💻 软件功能:屏幕实时翻译 ✅ 支持平台:#Android 📌 工具标签:#屏幕翻译 #生肉汉化 #视觉小说 📝 软件简介:一款无需 ROOT、支持端云双栖 OCR 与离线 LLM 的开源 Android 屏幕实时翻译神器,专为啃生肉游戏、视觉小说(VN)和日韩漫画而生。 🔥 核心场景: 游戏/VN 实时浮窗嵌字:在手机上推日文生肉游戏或视觉小说,悬浮球单点全屏识别翻译,译文直接精准覆盖在原文旁边,支持横竖排、气泡擦除与背景修复。 划词即译与随身字典:框选生词或短语,直接输出音标、词性、词形变化、同义词和详细例句,比切屏查词典快出几个量级。 相册图片批量翻译:一次选中多张漫画截图丢进后台处理,自动排版并支持导出带译文的成品图。 免切屏系统级联动:在任意 App 里选中文字,通过系统菜单直接唤出“屏译翻译”卡片;同时支持音量双键快捷触发,手指不用离开操作区。 📥 软件下载:点击下载

26 Sept 2026, 03:11 UTC28 viewsread 27 September 2026
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✏️ 项目名称:acg-faka 💻 项目功能:发卡系统 📌 工具标签:#发卡系统 #自动化交付 #独立站变现 📝 项目简介:一个深度融合二次元 UI 风格与现代化插件架构的开源数字化商品自助交易与发卡系统 🔥 核心场景: 软件授权与卡密即时分发:售卖 License、兑换码、激活码等虚拟资产,支持买家“选号/选卡密”,付款后毫秒级自动吐码。 多渠道接口自动化变现:利用强扩展插件系统,直接挂接游戏道具直充入包、商业软件余额自动充值、论坛/社区 VIP 自动点亮等 API 自动化场景。 三级分销与分站生态:能在前台一键开通独立分站卖你的货,带三级返佣机制,天然适合做软件代理和资源转售体系。 跨店货源聚合(共享店铺):直接在后台跨系统对接其他同款店铺,无感扣余额调取货源,解决手里没货的问题。 🌐 项目地址:点击直达

Showing the 12 most recent of 293 posts we hold for @AIGeekAPP. 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 11 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“AI极客资源软件工具” (@AIGeekAPP), 37,820 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/AIGeekAPP.

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.