Telegram RegisterThe public register of Telegram
Telegram profile photo for LingKumas Technik 开源工具

Channel

LingKumas Technik 开源工具

@Lingkuma

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

144subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001641662223
TypeChannel
Username@Lingkuma
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live9 October 2026
Measurements held4
Confirmed unchanged2 times, most recently 9 October 2026
On Telegramt.me/Lingkuma

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 25 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 why it has no browse page of its own yet.

Growth

139144141.57 August 2026 — 139 subscribers8 August 2026 — 139 subscribers7 September 2026 — 141 subscribers29 September 2026 — 144 subscribers7 August 202629 September 2026
4 measurements spanning 53 days, net +5. 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 138–145 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Sept 2026, 09:57144+3
7 Sept 2026, 21:01141+2
8 Aug 2026, 22:46139no change
7 Aug 2026, 16:24139first reading

Engagement

14 posts held, back to 6 January 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 20 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 59s
Average length
1m 00s

Measured directly from 2 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

9 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤔444.4%
😱222.2%
🥰222.2%
👍111.1%

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 5 of the 14 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 6 January 2026 to 20 May 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

20 May 2026, 05:28 UTC≈1,140 viewsread 8 August 2026
Photo

开发了一个小工具 BiliBili - copilot 总结助手 核心功能 * AI 总结,持续对话, * 时间戳交互 * 关键画面插图 * 本地导出 * Telegraph/tg bot 分享 开源地址 Chrome商店下载 开源工具分享频道 #bilibili #chat #视频

15 Apr 2026, 13:25 UTC453 views4 reactionsread 8 August 2026

豆包双工语音,好像是”假”的,因为你根本就没有打断的机会 刚才在电脑上试了豆包的语音电话,电脑上是没有双工功能的,但我可以手动打断。 所以有没有可能手机上的双工,并不是说它模型支持双工,而是说它只是判断用户麦克风有没有输入,从而程序“手动”将输出给掐断呢? 经过简单的测试,我发现豆包的双工是“假”的。 之所以我们能够感觉到它是真正的双工,是因为它返回的速度太快了,以至于让我们产生了错觉。不信的话,你可以去测试一下: 1. 让它讲一个故事。 2. 当它讲完第一句话的时候,让它闭嘴。 3. 然后你再问它:“刚刚是什么时候让你闭嘴的?” 你多试几次之后就会发现,它每次说的都不一样,完全是随机在乱说。也就是说,它根本没有真正的双工处理能力。 全双工模型演示 https://www.bilibili.com/video/BV1gbQzBtEX5/?t=38 这里有个up主自研的全双工模式,可以对比豆包看看就知道了。 全双工…

🤔4

15 Apr 2026, 03:04 UTC223 views1 reactionsread 8 August 2026

搞半天,这不就是豆包语音模式吗🤡 我试了一下直接开豆包对话模式一起听,让他模拟成里面的角色 下面我再听英语播客。首先,我需要你来和我一起听。这样的话,你能理解播客里面的一些就是内容。接着,我也向你进行提问,比如有时候这句话我没有理解,或者说呢,某单词我可能没听清。然后我会向你提问。同时,你请一直以英文回答我。你将假装你自己是这个博客内正在讲话的那个人,并你以角色扮演的形式向我进行这个解释,和我进行沟通。 然后就可以一起开始了,有什么问题直接问就行了! 同时豆包通话目前还支持全双工模式,交流更自然快速顺畅,根本感觉不到对面是AI的。 —- 其他豆包细节: 豆包现在的语音模式,理论上来讲是可以听懂并说(文本输出)所有语言。 但是在语音输出的层面上,它只能正确地说出中文、英文和日语。 其他语言即使能够输出正确的文本,音频却是错的。 #豆包

👍1

14 Apr 2026, 06:47 UTC195 viewsread 8 August 2026

OK,一个新的明确的方向出现了,就是 Face to Face。 现在这个工具是作为一个助理的角色,和我们一起去听一个博客。而其实还有一个更好的方案,就是让 AI 作为博客中的那个对应的人,来和我们进行解释和交流。 目前来讲,我们的工具并不支持,但这个问题应该比较便捷的解决:就是直接将系统提示词改成让他去假装成博客里的那个人。 虽然说上下文少一点,但可以先体验一下 Face to Face 的这个改变。 #idea #listening #f2f

14 Apr 2026, 06:03 UTC≈1,020 viewsread 8 August 2026
Photo

新玩具: http://listening.lingkuma.org/ https://github.com/lingkuma/Listen-with-Ai 录下播客和你的声音,直接发送给 AI 这个网站的主旨很简单: 把播客的声音,以及你自己的跟读、复述或提问一起录下来,直接发给 AI,然后获得一个结果。 这样设计,是为了让你不要一直盯着字幕,而是把注意力放在听力本身。发送给 AI 之后的等待时间,也不是空白时间——你可以马上重复听刚才那一段,并主动回忆那些没听懂、但又快要想起来的词。 点子来源: 我个人觉得,在练习听力的时候,如果有字幕辅助会破坏听力本身。所以我想,如果只听、不借助视觉,在听的过程中真的遇到不会、想要提问的时候,应该怎么做? 这个时候我应该只能靠说了。直接针对遇到的问题和听到的句子进行提问,弄清楚这句话是怎么回事。具体的流程可以是: 1. 将播客内容和你的提问一直录音下来,然后发送给 AI 2. …

10 Apr 2026, 11:19 UTC190 views2 reactionsread 8 August 2026
Photo

推荐一下我朋友的性价比gemini/codex中转,GCP不能白嫖之后我就一直用他的gemini模型。 对比了deepseek / glm / gpt 之后,发现还是gemini 翻译最舒服,而且性价比也最高。 可以私聊我试用哦,我给你key 通过我的邀请码,充值5$(仅支持Visa支付,支付宝请左下角私聊或者群里留言,),我们都可以获得$1.25 的奖励哦。 https://0-0.pro/register?ref=75RRBBR3 这个中转网站本身也是全开源的,我一直用的这个uni-api自己中转我的gcp,比new-api要更轻量方便: https://github.com/yym68686/uni-api https://github.com/yym68686/uni-api-web #aff

🥰2

15 Mar 2026, 11:22 UTC228 viewsread 8 August 2026
Photo

踏上前往13世纪德国北部的独特神秘之旅。体验基于失踪传教士克里斯蒂安·乌尔扬历史记录的互动冒险角色扮演游戏,探索摩尔瓦克和多登维克的起源。 6-8 小时游戏时长(200,000+ 字/语言) 共4章,包含1000多段内容 5 种结局(赫尔墨斯式、历史式、进步式、浪漫式、西比尔式) 700+ 幅风格独特的缩略图插图 ** 100多种音效和环境配乐* https://kenam-moorwak.itch.io/cotm #Twine #B2 #C1

15 Jan 2026, 08:48 UTC≈1,160 views0 reactionsread 8 August 2026
Photo

内置开源版 trancy,chrome商店已更新! app.lingkuma.org 可以在手机刷youtube的同时使用lingkuma啦 电脑端也兼容了原版的trancy哟,如果你有更好的插件,也可以推荐我兼容

10 Jan 2026, 18:09 UTC471 viewsread 8 August 2026
Video

https://github.com/lingkuma/ohmytext/blob/main/readmeZH.md Lingkuma点读机,哪里不会点哪里🫰~ 妈妈再也不用担心我的学习啦🥰~

9 Jan 2026, 08:22 UTC374 viewsread 8 August 2026
Photo

https://github.com/lingkuma/ohmytext/blob/main/readmeZH.md

7 Jan 2026, 15:07 UTC383 viewsread 8 August 2026
Video

👾外星科技👾 一键对鼠标下图片文本进行OCR 智能捕获文本框,拼接,并用大模型清理输出。 还在手动框选? 你out啦~~ https://github.com/lingkuma/ohmytext 核心库:文本检测模块 - PaddleOCR #SFW

Showing the 12 most recent of 14 posts we hold for @Lingkuma. 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.

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

“LingKumas Technik 开源工具” (@Lingkuma), 144 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/Lingkuma.

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.