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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
36,213subscribers
-5,232 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 |
|---|---|
| Type | Channel |
| Username | @AIGeekAPP |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 21 October 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Oct 2026, 00:20 | 36,213 | -26 |
| 20 Oct 2026, 00:58 | 36,239 | -26 |
| 19 Oct 2026, 04:26 | 36,265 | -32 |
| 18 Oct 2026, 07:09 | 36,297 | -18 |
| 17 Oct 2026, 10:15 | 36,315 | -43 |
| 16 Oct 2026, 10:46 | 36,358 | -39 |
| 15 Oct 2026, 10:06 | 36,397 | -54 |
| 14 Oct 2026, 13:05 | 36,451 | -63 |
| 13 Oct 2026, 04:49 | 36,514 | -358 |
| 5 Oct 2026, 17:17 | 36,872 | -449 |
| 30 Sept 2026, 03:56 | 37,321 | -499 |
| 18 Sept 2026, 03:20 | 37,820 | -44 |
| 16 Sept 2026, 01:57 | 37,864 | -52 |
| 14 Sept 2026, 05:15 | 37,916 | -133 |
| 12 Sept 2026, 13:41 | 38,049 | -186 |
| 10 Sept 2026, 11:57 | 38,235 | -351 |
| 7 Sept 2026, 07:41 | 38,586 | -307 |
| 4 Sept 2026, 10:02 | 38,893 | -108 |
| 2 Sept 2026, 23:18 | 39,001 | -149 |
| 1 Sept 2026, 22:26 | 39,150 | first reading |
Engagement
432 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 138 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.7%
- avg views ÷ 36,213 subscribers
- Avg views / post
- 3,870
- 176 posts measured
- Reaction rate
- 0.056%
- reactions ÷ views · ER floor
- Posts in window
- 176
- of 432 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 176 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 October 2026 |
|---|---|
| Posts held | 432 (5 August 2026 – 20 October 2026) |
| Views total | 680,971 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Oct 2026, 21:18 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
- Video runtime
- 7m 58s
- Average length
- 30s
Measured directly from 16 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
29 reactions across 24 posts, in 6 distinct kinds. The most used accounts for 41.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 12 | 41.4% | |
| ❤ | 8 | 27.6% | |
| 🥰 | 4 | 13.8% | |
| ❤🔥 | 3 | 10.3% | |
| 👏 | 1 | 3.45% | |
| 🔥 | 1 | 3.45% |
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 26 of the 432 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 432 most recent posts we hold, published 5 August 2026 to 20 October 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
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✏️ 项目名称:Custom_OpenClash_Rules 💻 项目功能:OpenClash资源仓库 📌 工具标签:#OpenClash #软路由 📝 项目简介:一套专为 OpenWrt / OpenClash 打造的开源配置底座,整合了分流规则集、订阅转换模板、远程覆写模块与详尽中文实操排坑指南。 🔥 核心场景: 彻底告别「套娃」架构: 仅靠 OpenClash 单插件实现干净分流,不需要额外堆叠 AdGuard Home、MosDNS 等插件。 精准堵死本地 DNS 泄漏: 针对 Fake-IP 模式与流量接管提供完整闭环方案,让直连与代理流量各走各路,防止运营商劫持和 DNS 污染。 精细化流量智能分流: 预置极简 GFW、轻量版、标准版与重度分流版等多种策略,覆盖 Steam/Epic/主机游戏 CDN 加速直连、国内影音直连及海外加密 DNS 访问。 全自动规则维护与订阅覆写: 支持 Sub-Stor…
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喜欢追剧的可以看看这个:猫猫影视。 一年多来一直没加广告,连资源都没皇家,这点挺难得的。资源更新快,画质也清楚,平时追新剧、补老片都能用。还支持投屏,电视也不用担心用不了。 分类非常全,电影、剧集、综艺、动漫、直播都有,现在还加了短剧和漫剧。喜欢追长剧的,或者闲下来刷几集短剧的,可以按自己的喜好找。 有需要的下载试试,官网带安装教程,遇到手机安装提示也能在里面找到对应说明。 ✅ 官网下载:mmys.app
Photo, posted without a caption
🤩🤩🤩🤩 🤩🤩🤩🤩🤩 0审核|包出款🤩🤩🤩 东南亚大事件联合担保🤩🤩🤩🤩🤩(电子) 🤩亿级域名|78.COM 🤩官方飞投|充提自由 🔝实力派:78.COM 数字够短 品牌够大 🔥香港六合彩 · 独家盈利无上限! 🤩所有的特码🤩🤩倍 🤩连码三中三🤩🤩🤩倍 🤩百家乐全网最高起步返水🤩% 🤩电子|棋牌|捕鱼起步返水🤩.🤩% 🤩十三水|德州自主组队,无抽佣; 🏆电子单注🤩🤩🤩🤩U一拉; ⭐️百家乐真人视讯台红🤩🤩万U; 🚩诚招代理合作: 1.打码返佣,限指定平台; 2.可叠加占成,自选占成比例及游戏平台; 🤩🤩🤩🤩:@DL78 💥高额战绩,巅峰记录持续刷新: 🥇PP电子|极速糖果1000 玩家游戏中购买30000u超级免费旋转,高倍爆奖,最终拿下378万U,已出款; 🥈PG电子|麻将胡了 又又又欧气爆棚,5000U一拉,连番触发,单局斩获193万U; 🥉香港六合彩|特码49倍 爱拼才会赢,大佬单码下注18万U,一注直接拿下本期最高派…
✏️ 项目名称:JZSub 💻 项目功能:视频下载 📌 工具标签:#视频下载 #双语字幕 #Codex 📝 项目简介:一个 Codex 自动化技能工作流,专为视频“下载-翻译-排版-硬字幕烧录”全流程闭环而生。 🔥 核心场景: 外网硬核长视频啃生肉: 丢一个 YouTube、Twitch 或 Vimeo 链接,它会自动抓取原文字幕、走 GPT 紧凑分批翻译(带上下文连贯切分),最后直接压制成带 MiSans 字体、底部双语堆叠的成片。 短视频搬运/二次加工排版: 抓 TikTok、YouTube Shorts 等竖屏内容时,自动适配竖屏比例与安全边距,避免字幕被平台点赞评论区挡住或文字溢出。 按需剥离资源: 不想每次都等压制?参数一加,你可以选择“只要视频原片+封面”、“只要原字幕 SRT”,或者“只要双语字幕 ASS 文件”,不需要下载整个视频流。 免导出 Cookie 扒受限视频: 支持静默读取本地 Chro…
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Showing the 12 most recent of 432 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.
Named by
Channels on the register whose posts name this channel's handle.
@hwdb2 · 81,2667 posts快手灰产项目供需🅥(赚钱资源频道)
@cos42 · 28,7186 posts奈雪供需|灰产项目供求资源
@dig51 · 43,7865 posts百度灰产项目赚钱兼职供需
@dip73 · 41,8315 postsKL集团 专注TG生态资源
@kljituan · 33,3225 posts古茗供需/供求|偏门项目发布
@dig29 · 36,4364 posts抖音赚钱项目资源供需(中文灰产兼职)
@zfbxz99 · 35,3404 posts蜜雪供需 电报灰产项目资源
@dig68 · 35,5513 posts【喜茶供需】小白网赚灰产项目资源
@u2230 · 41,6533 posts【库迪供需】中文l项目l资源🆅
@u5530 · 38,7202 posts瑞幸出海供需-海外项目资源
@u7730 · 26,8731 post
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.
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 21 October 2026 — this entry's latest reading, not the date you are reading this.
“AI极客资源软件工具” (@AIGeekAPP), 36,213 subscribers as measured 21 October 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.