Channel
@goodlearnclub
On this record: Growth · Engagement · Posts · Citations · Cite this entry
11,593subscribers
+170 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001492655703 |
|---|---|
| Type | Channel |
| Username | @goodlearnclub |
| Created | Between 1 June 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/goodlearnclub |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 16:54 | 11,593 | +31 |
| 14 Aug 2026, 01:16 | 11,562 | +26 |
| 12 Aug 2026, 18:45 | 11,536 | +29 |
| 11 Aug 2026, 16:33 | 11,507 | +18 |
| 10 Aug 2026, 18:06 | 11,489 | +13 |
| 9 Aug 2026, 16:01 | 11,476 | +29 |
| 8 Aug 2026, 14:21 | 11,447 | +22 |
| 7 Aug 2026, 16:53 | 11,425 | +2 |
| 7 Aug 2026, 14:16 | 11,423 | first reading |
24 posts held, back to 5 July 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 17 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 24 (5 July 2026 – 15 August 2026) |
| Views total | 19,342 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 15:35 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.
geo-optimizer-skill - 是一个网站优化工具，旨在提升网站在 ChatGPT、Perplexity、Claude 和 Gemini 等 AI 搜索引擎中的排名。 它会对网站进行全面审核，评估技术方面和内容方面的“权威性”，并提供改进建议。 语言：Python 🧬 https://github.com/Auriti-Labs/geo-optimizer-skill #tools #资源参考 #工具 #GEO
AI-Youtube-Shorts-Generator - 是一个 Python 工具，旨在自动将较长的视频转换为 YouTube Shorts 短视频。 它使用 GPT-4o-mini 和 Whisper 分析视频，突出显示最精彩的片段，并添加字幕。 该程序支持 YouTube 链接和本地视频文件，并提供垂直裁剪功能，以便在社交媒体平台上获得最佳显示效果。 🧬 https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator #tools #视频编辑 #资源参考 #工具
得到8.1-8 每天听本书 链接:https://pan.baidu.com/s/14Q6dEWMra5gCBmC07Gh6-A?pwd=j7y4 陶然·中国经济趋势100问 链接:https://pan.baidu.com/s/18_FMtrk2v4BHoe69zpoUfQ?pwd=9ixs 王璐·深度思考日课 链接:https://pan.baidu.com/s/1UjjB9p2VBJg_6YbxJH3NMg?pwd=6yp7 现代思维工具100讲 链接:https://pan.baidu.com/s/1063TKLhBwqkZcyBxrMWGEA?pwd=zr28 AI学习圈 链接:https://pan.baidu.com/s/1Hd-lvbiBEMPEnsNNXkK9Gg?pwd=73p1 卓克·科技参考 链接:https://pan.baidu.com/s/1JKGFQ6pVfHeEmR1818L4mQ?p…
得到7.25-31 每天听本书 链接:https://pan.baidu.com/s/1SXEfZJXEpisF95dAh2RReA?pwd=84a9 陶然·中国经济趋势100问 链接:https://pan.baidu.com/s/1wXRFBQtgyTPB7ArkM6uwBQ?pwd=j552 王璐·深度思考日课 链接:https://pan.baidu.com/s/1sf7bRkh0u7-Z9AC2_vxx1Q?pwd=z0o0 卓克·科技参考 链接:https://pan.baidu.com/s/17wElvfKYUqw4kk0gpGhLMw?pwd=yu8j 何刚·投资参考 链接:https://pan.baidu.com/s/1759qpbpPbg7Ez1qdE-Ghzg?pwd=b22i 马江博·政经参考 链接:https://pan.baidu.com/s/1MiQKeeGs8fXuQPRkEifGmQ…
吴恩达开源桌面 AI 智能体 OpenWorker，已获 3.7k Star 吴恩达（Andrew Ng）于7月24日在领英宣布推出开源 AI 智能体 OpenWorker。该工具基于 aisuite 库构建，通过统一 API 支持多种大语言模型，可执行文件润色、准备客户简报、梳理日程、起草报告及处理 Slack 警报等任务。OpenWorker 已上线 macOS 平台，Windows 版在开发中。其不捆绑模型，支持 GPT 5.6 Sol、Claude Fable、Gemini 3.6 以及 Kimi、GLM、DeepSeek、Inkling 等开源和 Ollama 本地模型。目前该项目在 GitHub 已收获 3.7k Star。Github 🏷 #OpenWorker #吴恩达 #开源 #AI #智能体 #资源参考
得到7.18-24 每天听本书 链接:https://pan.baidu.com/s/1ouN7le3QaSHr8tBTwE6w2w?pwd=23b6 卓克·科技参考 链接:https://pan.baidu.com/s/1A8TRNaIIpfB5mMYeQPfrbw?pwd=2c50 王璐·深度思考日课 链接:https://pan.baidu.com/s/1QvUTa-UouToM5YUjGsaF8Q?pwd=tfzk 何刚·投资参考 链接:https://pan.baidu.com/s/1q7IwnGK2FukrJkthEFY1PQ?pwd=0f6d 刘润：商业报告解读 链接:https://pan.baidu.com/s/1_UcyuIEq3wr0BdzdMgqh-Q?pwd=2lil 万维钢·现代思维工具100讲 链接:https://pan.baidu.com/s/1ZESJgWsGS4TkT6Rlo1Od…
【当工具回归本地：492个免费工具如何撕开SaaS的付费墙】 开发者Rui推出的Brevio集成了从PDF处理、图像压缩到LLM成本计算等492项功能。核心差异在于它不设账号、不收费用，且所有操作都在用户本地浏览器运行，文件无需上传服务器。 这种隐私优先的架构覆盖了开发、财务、设计等14个领域，甚至包含RAG分块预览等前沿AI工具。 这件事的意义在于它戳破了微型SaaS的泡沫：当浏览器性能足以支撑复杂计算，那些把开源脚本包装成订阅制的商业模式正失去护城河。它不仅是效率手册，更是一种对数据主权的回归——既然本地能算，为什么要把隐私喂给云端？ 这种去中心化的工具集预示着一种趋势：工具正在从昂贵的云端服务回归为透明的浏览器算力，好产品不该是数据陷阱。
Marketing Skills 是专为 AI 代理打造的市场营销技能合集，面向技术营销人员与创始人，涵盖转化优化、文案撰写、SEO、数据分析与增长工程等全流程能力。 包含 40 余个独立技能模块，通过 product-marketing 统一产品定位与受众洞察，支持 Claude Code、Cursor、Windsurf 等主流代理。通过 npx skills 命令一键安装或作为 Git 子模块持续更新。 主要功能： - 覆盖 CRO、copywriting、SEO、ads、analytics、referrals、revops 等 40+ 营销场景； - 技能间相互引用，执行任务时自动调用最优上下文； - 支持 CLI、Claude Code 插件、SkillKit 多代理安装，兼容本地与云端部署； - 提供技能升级与产品营销上下文迁移指南，保障版本平滑过渡； - 内置营销心理模型、竞争分析、定价策略与产品上线流程，满足全…
Pireel Studio 是一款完全开源、无需后端的 AI 视频编辑器，专为口播视频打造。它把故事板、图形设计、动态字幕、主题系统与浏览器内 WebCodecs 导出全部集成到一起，编辑全程在本地完成，无需账号、无需服务器。 只需在浏览器里拖入一段视频，画布即可跟随画面实时联动；故事板、动态字幕、主题切换、时间线、实时预览和导出全部在客户端运行。草稿保存在 localStorage，视频文件存于 OPFS，零数据出境。 通过 MCP 即可让任意 AI Agent（Codex / Claude Code）直接驱动编辑器；也可以在本地用 pnpm 一键启动，适合个人创作者、短视频团队或二次开发集成。 主要功能： - 全浏览器编辑：口播轨道、区块、字幕、时间线、实时预览； - WebCodecs 导出：所见即所得，导出无需服务端； - 主题系统：数十套设计系统即换即用，涵盖调色、字体与布局； - 本地存储：所有素材与项目均保存…
Reviva 是一款本地优先的 AI 学习工作台，围绕用户自己的资料完成问答、笔记、复习与创作输出。它把 Wiki 知识库、AI Agent、技能系统和创作工具整合到同一个桌面应用中，让学习过程不再从空白聊天框开始。 Reviva 支持多 Agent 协作，可在对话中随时切换角色并共享上下文；资料可以被解析、检索并持续沉淀为 Wiki；从同一份材料出发即可生成测验、闪卡、思维导图、PPT、播客或研究报告，所有结果都能回流到笔记与知识库，形成完整的学习闭环。应用支持本地模型与自有 API Key，数据全程可控，适合学生、研究者和知识工作者长期使用。 主要功能： - 多 Agent 工作台，可自定义角色、模型与权限； - 围绕本地文档、文件夹或 Wiki 进行检索与对话； - 音视频解析、语音转录与关键帧提取； - 一键生成测验、闪卡、导图、图表、PPT、播客与研究报告； - 文档与笔记管理，支持 Office、PDF、Mark…
No AI Slop 是一个能从任何文字中剔除 20 多种 AI 腔调的工具，让你的写作重新恢复自然的表达。 它可以识别并修正那些常见的 AI 腔调模式，包括二元对立、开篇堆砌、虚假洞见、冒充权威的引用、冗余的强调等等。工具不仅能帮你改稿，还能指出原文中存在的具体问题，让你一眼看出哪里在“AI 味”。 主要功能： - 检测并移除 20 多种 AI 腔调模式 - 提供修改后的版本和具体改动说明 - 能判断一段文字是否带有 AI 痕迹，并列出问题出处 - 遵循简洁写作原则，保留原意的同时提升自然度 - 最小改动策略，避免过度修改 支持通过 Claude Code、Codex 或其他 AI 工具安装使用，MIT 许可开源。
离线图像压缩工具 —— caesium-app-web - 是一个现代图像压缩 Web 应用，完全离线运行于浏览器中，确保数据隐私。 该应用支持 JPG、PNG、WebP 和 TIFF 图像的压缩，让您在不会显著损失图像质量的情况下减小文件大小。 用户界面直观，使压缩过程快速便捷。 语言：JavaScript 🧬 https://iyouport.notion.site/33d34ca2d46d8082b628debfec517282 #tools #图像压缩 #离线
Showing the 12 most recent of 24 posts we hold for @goodlearnclub. 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.
Citation-graph rank — 1,398,851 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“💎AI资源◆大模型💯人工智能◆Github开源资源💥创业创意社*AI智能体Agent” (@goodlearnclub), 11,593 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/goodlearnclub.
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.