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Channel

AI工具

@Aigongju001

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

58subscribers

-21 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-1003753182399
TypeChannel
Username@Aigongju001
CreatedBetween 1 February 2026 and 7 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live8 October 2026
Measurements held10
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/Aigongju001

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 28 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

587968.57 August 2026 — 79 subscribers8 August 2026 — 77 subscribers9 August 2026 — 77 subscribers14 August 2026 — 73 subscribers21 August 2026 — 72 subscribers29 August 2026 — 71 subscribers6 September 2026 — 68 subscribers14 September 2026 — 64 subscribers28 September 2026 — 61 subscribers8 October 2026 — 58 subscribers7 August 20268 October 2026
10 measurements spanning 62 days, net -21. 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 55–82 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 20:4258-3
28 Sept 2026, 15:5861-3
14 Sept 2026, 07:3964-4
6 Sept 2026, 20:4068-3
29 Aug 2026, 16:1671-1
21 Aug 2026, 21:0672-1
14 Aug 2026, 22:3573-4
9 Aug 2026, 20:4577no change
8 Aug 2026, 01:4877-2
7 Aug 2026, 19:0579first reading

Engagement

20 posts held, back to 7 April 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 20 posts for this entry, the most recent from 13 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1100.0%

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 1 of the 20 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 7 April 2026 to 13 June 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

13 Jun 2026, 00:14 UTC43 views1 reactionsread 9 August 2026

?? AI Hot Updates 1??? CRISPR gene editing selectively shreds cancer cells, including undruggable cancers ?? https://innovativegenomics.org/news/crispr-technique-selectively-shreds-cancer-cells/ 2??? How to set up a local coding agent on macOS ?? https://ikyle.me/blog/2026/how-to-setup-a-local-coding-agent-on-macos 3??? Apple Swift: Migrating TrueType hinting interpreter to Swift ?? https://www.swift.org/blog/migr…

🥰1

13 Jun 2026, 00:14 UTC33 viewsread 9 August 2026

?? AI???????n 1??? CRISPR????????????????????????????????????? ?? https://innovativegenomics.org/news/crispr-technique-selectively-shreds-cancer-cells/ 2??? ?????acOS???????????gent ?? https://ikyle.me/blog/2026/how-to-setup-a-local-coding-agent-on-macos 3??? Apple Swift??????TrueType???????i???????Swift ?? https://www.swift.org/blog/migrating-truetype-hinting-to-swift/ 4??? FFmpeg??????21????????n?? https://depth…

10 Jun 2026, 12:11 UTC32 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ macOS Container Machines - Apple 发布官方容器化方案,可在Linux和macOS上运行容器 🔗 https://github.com/apple/container/blob/main/docs/container-machine.md 2️⃣ Mercedes-Benz 开始大规模生产电动车轴向磁通电机 🔗 https://media.mercedes-benz.com/en/article/bebac2af-acdc-465a-9538-adb0bf3d8ccf 3️⃣ AWS Bedrock 要求与 Anthropic 共享 Mythos 模型数据 🔗 https://aws.amazon.com/blogs/aws/anthropic-claude-fable-5-on-aws-mythos-class-capabilities/ 4️⃣ Show HN:…

8 Jun 2026, 00:16 UTC31 viewsread 9 August 2026

🤖 AI热点速递 1️⃣ OpenClaw - 你的个人AI助手,任何操作系统,任何平台 🔗 https://github.com/openclaw/openclaw 2️⃣ ECC - Agent性能优化系统 🔗 https://github.com/affaan-m/ECC 3️⃣ Hermes Agent - 伴随你成长的AI Agent 🔗 https://github.com/NousResearch/hermes-agent 4️⃣ Andrej Karpathy Skills - 改进Claude Code行为 🔗 https://github.com/multica-ai/andrej-karpathy-skills 5️⃣ Firecrawl - 大规模网页搜索API 🔗 https://github.com/firecrawl/firecrawl #AI #科技

26 May 2026, 12:13 UTC42 viewsread 9 August 2026

🤖 AI热点速递 1️⃣ GitHub Actions - 今天再次宕机 🔗 https://www.githubstatus.com/ 2️⃣ DynIP - 动态DNS支持RFC 2136、IPv6、DNSSEC 🔗 https://dynip.dev/ 3️⃣ Using AI to write better code more slowly - AI辅助编程的思考 🔗 https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/ 4️⃣ openclaw/openclaw - 374765⭐ 开源AI助手框架 🔗 https://github.com/openclaw/openclaw 5️⃣ ollama/ollama - 172326⭐ 本地大模型运行 🔗 https://github.com/ollama/oll…

13 Apr 2026, 12:10 UTC257 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ hermes-agent - 自主AI代理框架,能持续运行直到完成所有PRD任务 🔗 https://github.com/NousResearch/hermes-agent 2️⃣ Kronos - 金融领域的基础语言模型 🔗 https://github.com/shiyu-coder/Kronos 3️⃣ claude-mem - Claude Code插件,自动记录会话并注入上下文 🔗 https://github.com/thedotmack/claude-mem 4️⃣ Deep-Live-Cam - 实时AI换脸,一键视频 deepfake 🔗 https://github.com/hacksider/Deep-Live-Cam 5️⃣ Voicebox - 开源语音合成工作室 🔗 https://github.com/jamiepine/voicebox #AI #科技

10 Apr 2026, 12:10 UTC259 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ markitdown - Microsoft开源文档转Markdown工具,支持PDF/Word/Excel转Markdown 🔗 https://github.com/microsoft/markitdown 2️⃣ Archon - 开源AI编程测试框架,让AI编码可预测可重复 🔗 https://github.com/coleam00/Archon 3️⃣ hermes-agent - 开源AI代理工具,持续学习成长 🔗 https://github.com/NousResearch/hermes-agent 4️⃣ rowboat - 开源AI协作者,带记忆功能 🔗 https://github.com/rowboatlabs/rowboat 5️⃣ DeepTutor - AI驱动的个性化学习助手 🔗 https://github.com/HKUDS/DeepTutor #AI #

10 Apr 2026, 06:10 UTC174 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ Hermes Agent - 自我成长的AI代理框架,6485 stars今日 🔗 https://github.com/NousResearch/hermes-agent 2️⃣ andrej-karpathy-skills - Karpathy的Claude Code优化技巧,1364 stars 🔗 https://github.com/forrestchang/andrej-karpathy-skills 3️⃣ DeepTutor - Agent原生个性化学习助手,1310 stars 🔗 https://github.com/HKUDS/DeepTutor 4️⃣ VoxCPM - 无分词器多语言语音生成TTS,496 stars 🔗 https://github.com/OpenBMB/VoxCPM 5️⃣ Archon - 开源AI代码 harness builder,185 …

10 Apr 2026, 00:13 UTC125 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ hermes-agent - 自我进化的AI代理框架,今日获6485星 🔗 https://github.com/NousResearch/hermes-agent 2️⃣ andrej-karpathy-skills - 基于Karpathy观察的Claude Code优化技巧 🔗 https://github.com/forrestchang/andrej-karpathy-skills 3️⃣ DeepTutor - AI驱动的个性化学习助手 🔗 https://github.com/HKUDS/DeepTutor 4️⃣ VoxCPM - 无分词器的多语言TTS生成 🔗 https://github.com/OpenBMB/VoxCPM 5️⃣ Archon - 开源的AI编程测试框架 🔗 https://github.com/coleam00/Archon #AI #科技

9 Apr 2026, 12:18 UTC123 viewsread 9 August 2026
Photo

🤖 AI热点速递 1️⃣ hermes-agent - The agent that grows with you 🔗 https://github.com/NousResearch/hermes-agent 2️⃣ andrej-karpathy-skills - 来自Karpathy的Claude Code优化技巧 🔗 https://github.com/forrestchang/andrej-karpathy-skills 3️⃣ DeepTutor - Agent原生的个性化学习助手 🔗 https://github.com/HKUDS/DeepTutor 4️⃣ VoxCPM - 无tokenizer的多语言TTS语音生成 🔗 https://github.com/OpenBMB/VoxCPM 5️⃣ seomachine - Claude Code的SEO博客内容创作工具 🔗 https://github…

Showing the 12 most recent of 20 posts we hold for @Aigongju001. 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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“AI工具” (@Aigongju001), 58 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/Aigongju001.

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.