Channel
@doesmartinlearntoday
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
320subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001470744249 |
|---|---|
| Type | Channel |
| Username | @doesmartinlearntoday |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/doesmartinlearntoday |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:28 | 320 | -2 |
| 8 Aug 2026, 07:31 | 322 | no change |
| 7 Aug 2026, 18:44 | 322 | first reading |
18 posts held, back to 23 February 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 pageof 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 25 July 2026 |
|---|---|
| Posts held | 18 (23 February 2026 – 25 July 2026) |
| Views total | 82 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:31 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.
Measured directly from 1 video 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.
今天下班之后，越来越觉得，会说话真的是一种很重要的能力。 😶🌫️说话本质上是在传递信息。如果把沟通拆开来看，说什么决定了你想传递的内容和目的，怎么说决定了对方能不能在没有情绪干扰的情况下准确接收到这些信息，什么时候说以及是否先理解对方的背景，则决定了这次沟通能不能真正建立起双方对同一件事情的共同理解。 一个人即使没有恶意，如果表达方式不当、时机不合适，或者没有先了解对方所处的环境和限制，也很容易让原本只是经验分享变成质问，让建议变成否定，从而引发误解、矛盾甚至冲突。当然，好的表达并不意味着双方一定会达成一致，因为有时候大家关注的目标本身就不同。但好的沟通至少能够让彼此真正理解对方为什么这么想、为什么这么做，而不是各自站在自己的视角里说服对方🤷。 虽然现在很多人都在谈社会原子化、减少社交，但只要还需要和人打交道，沟通能力就始终是一项非常重要的能力。它不仅仅是把自己的观点表达清楚，更重要的是，让信息能够准确、顺畅地传递，让双…
For front end designer
https://x.com/stephenhaney/status/2072369858638233843?s=46
Photo, posted without a caption
https://x.com/lottiefiles/status/2057280288997384685?s=52
#demo #CSS #WebGL #前端 #LiquidGlass #three #WebGPU Liquid DOM ShowCase | GitHub 仓库 Andrew Prifer 发布了一个名为 Liquid DOM 的库，在 Web 上忠实实现了 Liquid Glass 效果，支持形状变形、动态折射/反射、自适应着色等，并可与 Three.js 集成，运行流畅。 渲染要求浏览器支持 WebGPU 和实验性 HTML-in-Canvas API（需 Chrome Flag 开启） AI 摘要：Liquid DOM 是一个基于 SDF（Signed Distance Field）的高性能渲染引擎库，实现了 Liquid Glass 的全部视觉属性（形状变形、动态折射反射、自适应着色、色散等），支持 Canvas 与 HTML 混合布局，提供低层 API 和 React 高层 API，可直接采样 Three.js 场…
刷 GitHub 看到一个一口气把现实世界 144 个职业做成 Skill 的项目：从前端开发、UI 设计，到自媒体运营、销售、市场分析师、数据工程师、法务顾问, 一应俱全。 我觉得这个项目比较好用的方式是确实可以做到取长补短：比如你本身是一个创作者，但需要法务、数据工程师乃至销售团队的支持，就可以将这些 skill 打包进你的工作流中，让这些虚拟专家辅助你的意见，而不是取代你现有的专长。 很适合小团队或一人团队在新领域的开拓，能省下不少精力。 https://github.com/msitarzewski/agency-agents
#macOS #APP #AI 🧠 oh-myusage：面向 macOS 菜单栏的 AI 订阅、额度与账号状态控制台 🔗：GitHub | Download 👉 Features - 支持 Codex、Claude、Gemini、Kimi 等多个主流 AI 订阅产品 - 显示额度、百分比、余额、倒计时、刷新状态和异常状态 - 统一管理官方 Provider、本地桌面端会话和账号资料 - 支持低额度、鉴权失效、连续失败等提醒 - 对认证失败、限流、端点配置错误、网络不可达等状态做用户可读诊断等 🧑🏻💻 适合谁 • 同时使用多个 AI 官方产品，希望在菜单栏快速判断额度状态的人 • 依赖多个第三方中转站，希望统一查看余额、Token 用量和异常原因的人 • 经常在多个 Codex 或 Claude 本地账号之间切换的人 • 希望区分“官方确认”“本地估算”“缓存回退”“鉴权失效”等数据可信度的人 • 想要一个长期常驻…
https://sive.rs/
如何成为一个AI Agent 工程师？ | 原文
https://www.bilibili.com/video/av116390795150389
一个开源的求职管理工具 可以自动搜岗位、评估是否适合、自动生成 customized 简历、跟踪进度，评估 offer 等 #github #career #tool
Showing the 12 most recent of 18 posts we hold for @doesmartinlearntoday. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
“一个放乱七八糟的东西的地方” (@doesmartinlearntoday), 320 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/doesmartinlearntoday.
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.