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Channel

TG大学堂/得到课程分享(预览)

@coursestogether

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

22,367subscribers

+101 since we began measuring on 17 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002106194691
TypeChannel
Username@coursestogether
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 August 2026
Last confirmed live25 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/coursestogether

Topic

Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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

22,26522,38022,322.517 August 2026 — 22,266 subscribers18 August 2026 — 22,265 subscribers19 August 2026 — 22,266 subscribers20 August 2026 — 22,268 subscribers22 August 2026 — 22,281 subscribers23 August 2026 — 22,294 subscribers25 August 2026 — 22,288 subscribers26 August 2026 — 22,289 subscribers27 August 2026 — 22,294 subscribers28 August 2026 — 22,304 subscribers29 August 2026 — 22,303 subscribers30 August 2026 — 22,308 subscribers31 August 2026 — 22,291 subscribers1 September 2026 — 22,288 subscribers2 September 2026 — 22,298 subscribers3 September 2026 — 22,305 subscribers5 September 2026 — 22,314 subscribers8 September 2026 — 22,332 subscribers11 September 2026 — 22,338 subscribers13 September 2026 — 22,331 subscribers14 September 2026 — 22,326 subscribers16 September 2026 — 22,336 subscribers25 September 2026 — 22,332 subscribers4 October 2026 — 22,336 subscribers8 October 2026 — 22,339 subscribers13 October 2026 — 22,356 subscribers14 October 2026 — 22,362 subscribers15 October 2026 — 22,366 subscribers16 October 2026 — 22,368 subscribers18 October 2026 — 22,367 subscribers19 October 2026 — 22,365 subscribers20 October 2026 — 22,374 subscribers21 October 2026 — 22,380 subscribers22 October 2026 — 22,377 subscribers23 October 2026 — 22,369 subscribers24 October 2026 — 22,370 subscribers25 October 2026 — 22,367 subscribers22,36717 August 202625 October 2026
37 measurements spanning 69 days, net +101. 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 22,248–22,397 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
25 Oct 2026, 12:5722,367-3
24 Oct 2026, 15:4022,370+1
23 Oct 2026, 18:3822,369-8
22 Oct 2026, 16:0922,377-3
21 Oct 2026, 12:3222,380+6
20 Oct 2026, 07:3722,374+9
19 Oct 2026, 09:1122,365-2
18 Oct 2026, 11:1622,367-1
16 Oct 2026, 10:0422,368+2
15 Oct 2026, 09:4922,366+4
14 Oct 2026, 12:4622,362+6
13 Oct 2026, 02:2122,356+17
8 Oct 2026, 16:0122,339+3
4 Oct 2026, 05:2122,336+4
25 Sept 2026, 14:4022,332-4
16 Sept 2026, 15:0122,336+10
14 Sept 2026, 15:5622,326-5
13 Sept 2026, 04:3822,331-7
11 Sept 2026, 07:3722,338+6
8 Sept 2026, 11:1722,332first reading

Engagement

116 posts held, back to 7 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.72%
avg views ÷ 22,367 subscribers
Avg views / post
385
44 posts measured
Reaction rate
0.25%
reactions ÷ views · ER floor
Posts in window
44
of 116 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 14 of 44 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 12 October 2026
Posts held116 (7 August 2026 – 12 October 2026)
Views total16,922
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 20:24 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
2m 01s
Average length
2s

Measured directly from 54 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

33 reactions across 28 posts, in 2 distinct kinds. The most used accounts for 54.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1854.5%
👍1545.5%

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 32 of the 116 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 7 August 2026 to 12 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

12 Oct 2026, 16:51 UTC31 viewsread 12 October 2026

今日更新已到齐,经济、AI、健康、人文、编程与书刊均有上新。 📈 经济与投资 得到头条聚焦2026诺贝尔经济学奖,何刚·投资参考谈美元走强下的美股,马江博·政经参考记录投资与消费之争。 🤖 AI与个人能力 快刀广播站讲卡帕西用航空规范教AI“说人话”,电子书覆盖表达力、AI一人公司、小红书小生意,React实战进阶45讲提供系统路径。 🧠 身心与成长 尹烨·健康参考谈心慌心悸,王路·深度思考日课解读胆固醇,钱炜·心力训练50讲练习回稳呼吸,另有焦虑的一代解读。 📚 人文与期刊 苏东坡、鲁迅、林冲等课程更新,财新周刊、三联生活周刊、百科知识、销售与市场、证券市场周刊同步上架。 学习建议: 1. 先选一个最想解决的问题,再深入对应内容。 2. 优先看能立刻用上的经济判断、AI应用与健康方法。 3. 书刊与课程搭配安排,避免只囤不读。 🗓 20261013 Summarized by DeepSeek

12 Oct 2026, 16:49 UTC21 viewsread 12 October 2026
Video

专栏名称:React实战进阶45讲 专栏作者:王沛·eBay 中国研发中心资深技术专家 更新进度:✅ 完结 🤖 AI 导学 React 的组件化思想与状态管理机制,对构建复杂交互界面至关重要。课程深入剖析高阶组件、render props 等复用模式,并系统讲解 Redux 中 Store、action、reducer 的协作逻辑及不可变数据原则。同时,围绕大型项目架构,从按领域模型组织代码、拆分路由配置到集成 React Router 实现权限控制,帮助学习者建立可维护、可扩展的前端工程认知。这些内容虽非专为人工智能场景设计,但其对 UI 逻辑抽象与状态流管理的理解,可为涉及可视化或人机交互的 AI 应用开发提供扎实支撑。 📖 课程介绍 注:本课程基于 React 16.4 版本构建。 React 是目前最为流行的前端 UI 开发框架之一,根据 Hacker News 发布的招聘趋势数据,React 已经连续 12 个月成…

12 Oct 2026, 16:25 UTC36 views1 reactionsread 12 October 2026
Video

专栏名称:钱炜·心力训练50讲 专栏作者:钱炜·著名心理学学者 更新进度:🔄 更新中 ⭐️ 课程亮点 1⃣ 五维进阶,提升心力。独家心力模型,从稳定力、觉察力、调整力、行动力、成长力五个维度,系统训练心力。 2⃣ 实操带练,学以致用。每讲包含心力练习,科学易上手,不用腾出大段时间,碎片时间反复练,心力持续提升。 3⃣ 场景落地,破解难题。工作和生活中的难题,比如一到重要场合就紧张、忙碌一天心力枯竭、想做的事难以启动、明明很累却睡不着……课里都有对应练习,助你拥有充足心力,去热爱,去战斗,去生活。 4⃣ 钱炜主理,温暖疗愈。钱炜老师长期为各行业一线奋斗者提供心力支持,训练经验丰富,声音温暖治愈,全程陪伴。 👥 谁适合学 1⃣ 管理者、创业者、项目负责人 2⃣ 经常公开分享、汇报演讲的人 3⃣ 想得很好,要提升行动力的人 4⃣ 想在忙碌中增添生活热情的人 5⃣ 喜欢心理学,想深入学习的人 🎵 试听: 发刊词|去热爱,去战斗,去…

👍1

11 Oct 2026, 16:41 UTC285 views1 reactionsread 12 October 2026

今日更新已整理完毕,按主题来看。 📈 经济与市场 央行系统首次亮明人民币汇率政策立场,人民币单边升值9%后是否转向贬值成为焦点;囤货时代落幕,全球南方能否接住中国产能也被重新讨论。 💡 人文与认知 鲁迅“如果不必读,那要怎么读”、诺贝尔文学奖为何看不懂、先验为什么让人说不通,三门课从经典与思维切入。 📚 学习与教育 从教学生如何学习、重塑学习型大脑,到怎样陪伴孩子完成中考这个大项目,方法比焦虑更重要。 🛠 技术进阶 Nginx核心知识150讲密集更新,从配置语法到HTTP阶段、负载均衡、缓存与性能优化,再到OpenResty与WAF。 学习建议: 1. 先选一个当下最需要解决的问题,只读对应那一篇或一讲。 2. 读到方法就用自己的话写一句,别只做收藏。 3. 技术课按章节推进,一次吃透一块,别跳读。 🗓 20261012 Summarized by DeepSeek

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11 Oct 2026, 16:40 UTC246 views1 reactionsread 12 October 2026
Video

专栏名称:Nginx核心知识150讲 专栏作者:陶辉·智链达 CTO 更新进度:✅ 完结 🤖 AI 导学 高并发场景下,前端资源的高效分发常受限于后端服务性能。Nginx 作为关键中间层,其缓存机制与反向代理配置直接影响用户体验——课程详解如何通过 proxy 缓存、open file cache 及分片策略提升静态资源加载效率。同时,针对现代 Web 应用对 HTTPS 和 HTTP/2 的强依赖,内容覆盖免费 SSL 证书部署、协议优化及浏览器缓存协同策略。这些实践帮助前端开发者理解从请求到达服务器到资源返回的全链路优化点,建立对基础设施层影响前端性能的认知。 📖 课程介绍 Nginx 很火,因为它就像一个万能药,在任何存在性能需求的场合总能找见它的身影,它可以轻松在百万并发连接下实现高吞吐量的 Web 服务。同时,类似于 OpenResty 和 Tengine 这样的第三方模块群,进一步发展出了新生态,使 Nginx …

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10 Oct 2026, 16:41 UTC389 viewsread 12 October 2026

今日更新已整理,按主题快速导读。 🤖 AI工具与效率 电子书上新豆包、AI提效、AI短视频与AI伴学等实操内容,课程侧有用Claude Code搭建AI工作流。 📚 Git与工程协作 玩转Git三剑客从安装、commit、分支到GitHub与GitLab协作展开,适合系统补齐版本控制与团队开发流程。 📈 投资与科技观察 何刚·投资参考更新A股四季度直播回放、问答与复习PPT;快刀广播站与卓克·科技参考讨论AI定价争议和刹车问题。 🏛️ 人文与教育阅读 大望路读书局聊红楼梦人物,听书解读上线《理想的教育》,另有新安医籍丛刊与人文社科新书可延伸阅读。 学习建议: 1. 选一个与工作相关的主题,完成一次最小实践。 2. 把课程目录或书籍当作路线图,按周推进。 3. 学完后用自己的话复述一个关键判断。 🗓 20261011 Summarized by DeepSeek

10 Oct 2026, 16:40 UTC336 viewsread 12 October 2026
Video

专栏名称:玩转Git三剑客 专栏作者:苏玲·携程代码平台负责人 更新进度:✅ 完结 🤖 AI 导学 Git 的核心不只是 add、commit、push 这几个命令,而是理解工作区、暂存区与 HEAD 之间的关系,以及 commit、tree、blob 对象如何构成版本历史。当多人协作时,面对文件重命名与内容修改并发、同区域冲突等复杂场景,仅靠基础操作往往束手无策。课程围绕 Git 原理、GitHub 协作与 GitLab DevOps 实践三大主线,深入讲解分支管理、历史重写、冲突解决等高频难题,并结合 issue 跟踪、code review 和集成策略,帮助你在真实团队环境中高效使用这三剑客,建立系统化的版本控制与协作认知。 📖 课程介绍 毋庸置疑,Git 是目前最流行、最好用的版本控制系统,在它的基础之上,催生出了 GitHub 和 GitLab 这两个当前最流行的代码托管平台。 放眼望去,包括阿里云、大众点评、去…

9 Oct 2026, 16:28 UTC425 viewsread 12 October 2026

今日更新已就位,人文、科技与商业观察同步上新。 📚 新书与期刊 电子书集中上新,涵盖文学、AI 应用、法律、教育等方向;期刊则带来环球人物、读者、雪球专刊等新一期。 🎧 人文与文学 安妮·卡森是今天的暗线,得到精选与贾行家年度人文课堂分别从诗歌与古希腊文学切入;听书解读带来《亲密动物》。 💻 技术与工具 快速上手 Kotlin 开发覆盖从语法到协程、DSL、Web 与 Android 实践;卓克科技参考回答养猫过敏、备餐与力量训练问题。 🤖 AI 与商业 快刀广播站聊 AI 生成歌曲的实验,马江博政经参考讨论产业利润,外刊方面还有经济学人、华尔街日报、Science 与 Time。 学习建议: 1. 先锁定一条主线深入,人文与科技不必同时铺开。 2. 技术课程建议边看边动手,避免只收藏不实践。 3. 外刊与期刊挑一到两本精读,胜过泛览。 🗓 20261010 Summarized by DeepSeek

9 Oct 2026, 16:27 UTC341 viewsread 12 October 2026
Video

专栏名称:快速上手Kotlin开发 专栏作者:张涛·资深 Android 开发工程师 更新进度:✅ 完结 🤖 AI 导学 Kotlin 不只是 Android 的“语法糖”,它在服务端开发中同样具备独特优势。课程深入剖析 Kotlin 协程的底层原理与适用场景,帮助理解如何通过 suspend 函数和 Channel 实现高效异步编程;同时系统讲解 Kotlin 与 Java 工程协同的关键细节,包括迁移策略、兼容性陷阱及团队协作规范。此外,还覆盖 KTX 扩展库的设计意图与实现机制,揭示如何利用 Kotlin 特性简化服务端代码结构。这些内容为后端开发者提供了将 Kotlin 落地于实际工程的可行路径。 📖 课程介绍 在 Google I/O 2017 大会上,Google 宣布 Kotlin 成为 Android 开发的官方编程语言。 仅仅一年之后,就已经有 35% 的专业 Android 开发者在使用 Kotlin,…

8 Oct 2026, 16:37 UTC438 views1 reactionsread 12 October 2026

今日更新已整理,多条主线同步上新。 📰 财经与国际 海外财经媒体多期更新,南方人物周刊新一期上架;刘怡关注非洲之角与中东联动,马江博谈新能源车产能预警,何刚解答存储股逻辑。 🤖 AI与技能 Go语言从入门到实战成体系更新,另有Claude Code教程推荐、豆包工作操作指南、秒懂AI科研、扣子极简入门与漫画人工智能。 📚 人文与历史 从跨媒介艺术史到丝绸之路上的文艺复兴,再到柳公权传、资治通鉴东汉部分与国学课答疑,提供理解传统的多个入口。 👨👩👧 家庭与成长 父母情绪如何影响孩子、初中生家长的风控课,以及认知行为治疗相关讲读,聚焦情绪管理与成长节奏。 学习建议: 1. 先选一条与当下工作或生活最相关的线索深入,避免同时铺开。 2. 工具类课程边学边练,用一个小任务验证理解。 3. 人文与心理内容适合慢读,留出思考时间。 🗓 20261009 Summarized by DeepSeek

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8 Oct 2026, 16:36 UTC376 views1 reactionsread 12 October 2026
Video

专栏名称:Go语言从入门到实战 专栏作者:蔡超·Mobvista 技术副总裁兼首席架构师 更新进度:✅ 完结 🤖 AI 导学 在高并发、低延迟的 AI 系统后端中,Go 语言的轻量级协程与高效调度机制为何成为关键支撑?这门课深入剖析 Goroutine 与 CSP 并发模型,帮助理解如何通过 channel 实现安全的数据传递与任务协调。同时,课程聚焦性能调优实践,涵盖 GC 友好代码编写、对象池复用及锁竞争规避等方法,建立对高可用服务设计的基本认知。通过对比 Go 与其他语言在并发和内存管理上的差异,掌握构建可扩展 AI 基础设施的核心编程范式。 📖 课程介绍 1. 讲师蔡超,曾任亚马逊(中国)和惠普的首席软件架构师,精通 Go 语言和多门编程语言,具有丰富的项目实战经验。 2. 独特的学习方法:着重对比 Go 语言语法和其他其他编程语言的不同,带你快速入门 Go 语言,高效掌握 Go 语言的编程方法。 3. 学以致用…

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8 Oct 2026, 00:00 UTC449 viewsread 12 October 2026

🇨🇳 国庆学习季|会员群限时开放 👥 想系统学习,却总在各个平台之间反复寻找课程和资料? 👍 我们的付费资源会员群专注于优质学习内容的持续整理与更新,涵盖: 🎓 精选课程与日更课程 📚 电子书与社群会员贡献资源 🎧 每天听本书及音频解读 📰 国内外期刊杂志 🤖 AI 学习圈精品课程 💝 加入会员群后,还可以使用专属机器人: 🔎 直接检索资源,无需翻找历史消息 📂 按课程、电子书、听书和期刊分类浏览 📦 一键获取课程及更新文件 ⭐️ 收藏感兴趣的课程和栏目 🔔 按自己的周期订阅内容更新 🗓 查看每日、每周新增资源 ✅ 资源持续更新,一次加入,即可永久使用会员群和专属检索机器人。 ✅国庆期间现已开放限时入群优惠,每位用户共有 3 次领取机会。 ⏰ 活动截止:2026 年 10 月 8 日 23:59 👇 点击下方按钮,领取你的国庆专属入群优惠吧。

Showing the 12 most recent of 116 posts we hold for @coursestogether. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

油油の科技软件资源分享
@youyousharechannel · 91,914
Telegram ranks this channel #21 of 43 here — alongside 42 others — read 17 August 2026
ahhhhfs|A姐分享
@abskoop · 304,598
Telegram ranks this channel #30 of 50 here — alongside 49 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,783
Telegram ranks this channel #43 of 61 here — alongside 60 others — read 19 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“TG大学堂/得到课程分享(预览)” (@coursestogether), 22,367 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/coursestogether.

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.