一个生活小技巧:牙刷之类的软管产品,挤完之后拿剪刀软管中间剪开,里面至少还有一周的用量。可以拿剪开的尾部作为盖子罩在前半部分上。
❤3

Channel
@tms_ur_way
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,706subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001433280526 |
|---|---|
| Type | Channel |
| Username | @tms_ur_way |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/tms_ur_way |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:38 | 3,706 | -5 |
| 8 Aug 2026, 05:17 | 3,711 | +3 |
| 7 Aug 2026, 13:47 | 3,708 | no change |
| 7 Aug 2026, 13:33 | 3,708 | first reading |
19 posts held, back to 23 January 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 2 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 19 (23 January 2026 – 4 August 2026) |
| Views total | 1,084 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 22:55 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.
52 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 53.8% | |
| 👍 | 12 | 23.1% | |
| 👏 | 5 | 9.62% | |
| 🤔 | 4 | 7.69% | |
| 🎉 | 2 | 3.85% | |
| 🔥 | 1 | 1.92% |
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 14 of the 19 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 52reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 23 January 2026 to 4 August 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.
一个生活小技巧:牙刷之类的软管产品,挤完之后拿剪刀软管中间剪开,里面至少还有一周的用量。可以拿剪开的尾部作为盖子罩在前半部分上。
❤3
如果每周的 token 限量没有用完,其实最超值的用法是用最好的模型优化你的 skills,因为 skills 会反复被调用,不仅直接关系到最后实现效果的优劣,还直接影响 token 的消耗,妥妥的复利效应。
Keep Meter Running 的这期非常感人: 来自尼泊尔的纽约的士司机 Khakendra Pun 搬往美国多年,做了77份零工,睡过97个不同房子的地板。 他算了下,如果靠着每小时四美金的最低时薪,他要花167年才能在美国买一栋房子。 于是他跑去书店打工,在工作间隙写下自己的故事,然后印刷成书。见人就卖,卖了超过六千册。然后又陆续写了三本书。 当主持人 Kareem Rahma 遇见他时,他说自己还会吹笛子。在等红灯的间隙就会拿出笛子练习。Kareem 邀请他去了一家录音棚录下了他的演奏。 Khakendra 说他最大的还未实现的梦想就是说一场脱口秀。于是 Kareem 帮他找了一个开放麦。 Khakendra 说,人生就是不断有起伏,最重要的就是继续往前走。失败也好,拒绝也好,都是一个新的开端。Kareem 也说,他父亲离世前的最后一句话是,Keep going. https://youtu.be/L…
👍3
这期讲得实在太好了,从鸦片战争一直聊到了当代,从美国日本欧洲一直聊到了中国,把很多问题都聊透彻了,比如为什么会发生鸦片战争,为什么日本要拿下满洲等等。 https://jfbooks1.substack.com/p/ep19
Photo, posted without a caption
❤1
GigaOM 的创始人 Om Malik 刚刚去世,那么多科技界名人都写了悼文: https://om.co/2026/06/24/1966-2026/ https://ma.tt/2026/06/om-forever/ https://daringfireball.net/linked/2026/06/25/om-malik-rip https://arun.is/blog/good-bye-om-malik/
DPS 也曾经分享过十篇 Om Malik 写的文章
最近见了老同学,已经升到一顶尖高校的副教授了,算是我们里面比较快的了。 聊起我们同一级的另外一哥们,已经升到另一顶尖高校的正教授了。 说起来这哥们也有意思,当年保送国内最好的数学系之一,读了三年,坚决不上思政课,然后学位没拿就走了。 去了法国顺利拿到博士学位,然后一路在理论数学里开疆拓土,拿到了现在的正教授职位。 最好笑的是,当年拿思政课成绩卡他的学校现在追着把他当杰出校友,可是学位还没给人家啊🤣
Anthropic 的这张图正好说明了这点
👏5
大开眼界的一期节目: 1. 墙的存在并不是为了封禁所有人,而是为了提高翻墙的成本,这样就能过滤掉大量人; 2. 墙的存在其实也变成了一种牟利方式,国企,阿里云,腾讯云都从中获利颇丰; 3. 当然做翻墙生意真赚钱; 4. 远洋捕捞也成了一种产业,特别是北方的县级公安特别喜欢这种方式,当然一线城市的公安也好不到哪去,暗示送钱,罚没之后不记录在案; 5. 人肉翻墙也有各种方式,嘉宾找朋友一路从武汉开车到钦州,中途不曾下车。然后进入越南,又去友谊关打点,获得另纸签。然后飞到新加坡,再飞欧洲。 6. 总之永远不要放弃希望。 https://overcast.fm/+ABO6eQuuJ5M
Jeff Su 最近的一期视频正好聊到这个: https://youtu.be/msFxQ7OYPj8
👍2
最近近距离观察一些朋友使用 AI 的方式,发现了很明显的代际差异: 1. 朋友 A 用了 Gemini / Grok / Claude Desktop 等多个工具,但仅限于使用他们的对话框界面,一个对话可能承载了所有历史; 2. 朋友 B 使用了 Claude / Chatgpt 等对话框工具,也使用了 Claude Code。用 Claude code 一半是对话,一半是用 agent 调用工具,解放了不少生产力; 3. 朋友 C 只使用 Claude Code 和 Codex,只有一小部分对话,绝大部分都是 agent。 举个最简单的例子,比如你的电脑出了问题,如果使用 A 的方式,可能就是不断地问 AI,然后贴截图,再按照它的回答拿鼠标去点;如果使用 C 的方式,基本上就是问答之后确定方案,然后让 AI 代劳。 尽管 Claude Code 和 Codex 名字里都带着 code,但它们不仅适用于写代码的场景,在…
❤6👍4
Showing the 12 most recent of 19 posts we hold for @tms_ur_way. 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 — 679,292 of 1,480,688entries 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.
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.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“DPS Main” (@tms_ur_way), 3,706 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tms_ur_way.
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.