今日更新已到,覆盖商业、科技、人文与实用技能。 📰 书刊上新 新增两期《华尔街日报》,电子书里既有商标法案例注释(2026年版),也有契诃夫、鲁迅经典新版,以及亲子教育与出海商业类新书。 💼 商业与宏观 希音IPO估值起落、A股半年报、房地产近30年最大政策更新、中国电影是寒冬还是升级,相关解读都在。 🔬 科技与新知 从NASA小卫星用太空垃圾定位,到营养补剂必要性、问题肌肤为何越护肤越不稳定,再到“第一性原理”的演化,给你多角度的认知刷新。 💻 软件工程之美 这一专栏覆盖从开篇词到结束语的完整学习路径,包含瀑布模型、敏捷开发、架构设计、技术债务、DevOps、测试与日志,并配有多期“一问一答”。 学习建议: 1. 先挑一个与你眼下问题最相关的话题听。 2. 再从书刊区选一本轻量书翻翻。 3. 看到多个专栏标题时,试着比较它们看问题的角度。 🗓 20260903 Summarized by DeepSeek

Channel
TG大学堂/得到课程分享(预览)
@coursestogether
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
22,332subscribers
+66 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 |
|---|---|
| Type | Channel |
| Username | @coursestogether |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/coursestogether |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 11:17 | 22,332 | +18 |
| 5 Sept 2026, 05:18 | 22,314 | +9 |
| 3 Sept 2026, 12:37 | 22,305 | +7 |
| 2 Sept 2026, 06:48 | 22,298 | +10 |
| 1 Sept 2026, 05:36 | 22,288 | -3 |
| 31 Aug 2026, 03:02 | 22,291 | -17 |
| 30 Aug 2026, 01:47 | 22,308 | +5 |
| 29 Aug 2026, 01:04 | 22,303 | -1 |
| 28 Aug 2026, 01:12 | 22,304 | +10 |
| 27 Aug 2026, 03:43 | 22,294 | +5 |
| 26 Aug 2026, 02:57 | 22,289 | +1 |
| 25 Aug 2026, 02:04 | 22,288 | -6 |
| 23 Aug 2026, 16:14 | 22,294 | +13 |
| 22 Aug 2026, 02:27 | 22,281 | +13 |
| 20 Aug 2026, 16:57 | 22,268 | +2 |
| 19 Aug 2026, 15:26 | 22,266 | +1 |
| 18 Aug 2026, 13:56 | 22,265 | -1 |
| 17 Aug 2026, 18:30 | 22,266 | first reading |
Engagement
54 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 34 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.37%
- avg views ÷ 22,332 subscribers
- Avg views / post
- 529
- 50 posts measured
- Reaction rate
- 0.19%
- reactions ÷ views · ER floor
- Posts in window
- 50
- of 54 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 50 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 54 (7 August 2026 – 2 September 2026) |
| Views total | 26,462 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 12:19 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
- 58s
- Average length
- 2s
Measured directly from 27 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
17 reactions across 15 posts, in 2 distinct kinds. The most used accounts for 70.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 70.6% | |
| 👍 | 5 | 29.4% |
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 16 of the 54 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 7 August 2026 to 2 September 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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专栏名称:赵成的运维体系管理课 专栏作者:赵成·前蘑菇街技术总监 更新进度:✅ 完结 🤖 AI 导学 微服务架构下,运维为何要以“应用”为核心?当系统拆分为数百个服务,若缺乏统一的应用标识与生命周期管理,配置混乱、依赖失控将直接拖垮交付效率。这门课从标准化体系入手,阐明如何通过 CMDB 与应用配置管理联动,构建“应用 - 集群 - 资源”的清晰视图,并打通持续交付的关键路径:配置管理、多环境建设、自动化流水线。同时,围绕极端场景下的稳定性保障,覆盖容量规划、限流降级、全链路追踪等实践方法,帮助后端与架构人员理解运维如何支撑高可用系统的设计与演进。 📖 课程介绍 专栏围绕以应用为核心的运维体系,分四个模块介绍。 应用运维体系建设。这一模块是运维工作的基础,将从标准化和应用生命周期开始,介绍如何一步步建立运维技术体系和组织架构,如何树立正确的运维建设思路。 效率和稳定性最佳实践。这一模块是运维价值的体现,将围绕持续交付和稳定…
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今日更新已到:新书、课程、听书与期刊都有新内容。 📚 电子书 《早期中华文明的图景》《图解宇宙简史》与博物馆通识系列更新,经典插图本也有《乞力马扎罗的雪》《猎人笔记》《源氏物语》。 🎓 课程与深度内容 《从0开始学微服务》全流程更新,另有《徐弃郁·中东简史50讲》《王鼎杰讲透战争史》文字版合集,以及卓克科技参考、快刀广播站的更新。 🔊 听书 《大国博弈:一本书读懂联合国》秦谦解读上线。 📰 期刊 《21世纪商业评论》《凤凰Weekly》《科幻世界》《青年文摘》《中国科学院院刊》更新。 学习建议: 1. 新书先挑一本最感兴趣的,翻完第一章再决定是否深读。 2. 微服务可按“概念—架构—落地—运维”顺序学,每节解决一个问题。 3. 听书与期刊适合通勤时用碎片时间建立框架。 🗓 20260829 Summarized by DeepSeek
Showing the 12 most recent of 54 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.
@youyousharechannel · 89,723
Telegram ranks this channel #21 of 43 here — alongside 42 others — read 17 August 2026
@abskoop · 307,099
Telegram ranks this channel #30 of 50 here — alongside 49 others — read 17 August 2026
@piracy6 · 77,214
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 8 September 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), 22,332 subscribers as measured 8 September 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.