开源一个终端套壳软件,界面只有一个无限横向滚动的长轴,把相关内容并排放着,就这么简单。基于libghostty。 https://colerm.com 能直接体验demo
❤2

Channel
@didnotponder
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
185subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001145521546 |
|---|---|
| Type | Channel |
| Username | @didnotponder |
| Created | Between 1 April 2016 and 30 November 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/didnotponder |
Technology — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 07:56 | 185 | -3 |
| 2 Oct 2026, 08:02 | 188 | +2 |
| 30 Aug 2026, 15:45 | 186 | -2 |
| 8 Aug 2026, 12:04 | 188 | no change |
| 7 Aug 2026, 20:53 | 188 | first reading |
20 posts held, back to 6 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
13 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 5 | 38.5% | |
| 👍 | 3 | 23.1% | |
| ❤ | 2 | 15.4% | |
| 💯 | 2 | 15.4% | |
| 👎 | 1 | 7.69% |
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 6 of the 20 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 March 2026 to 6 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.
开源一个终端套壳软件,界面只有一个无限横向滚动的长轴,把相关内容并排放着,就这么简单。基于libghostty。 https://colerm.com 能直接体验demo
❤2
https://x.com/primeintellect/status/2085086999267144083?s=46 非常对劲 agent生活在repl里
https://fxtwitter.com/omer_assa/status/2083862523640496179?s=46
发布一款比较优雅的窗口切换工具 一个键映射一个窗口 高效且好看 键盘颜色会跟随实体机器颜色,可以自定义 不用下载,电脑打开网页也能感受实际使用体验 https://pinchkey.lumik.space
💯1
https://x.com/maxjendrall/status/2079966739291345130?s=46
https://developer.puter.com/labs/firefox-wasm/
https://lite.ego.app/ 本浏览器爱好者的新发现,官网的介绍价值传递不清晰,总结就一句话:你和agent一起使用的chrome浏览器,共享身份但互不打扰
🥰5💯1
https://fxtwitter.com/hrdktwt/status/2064675373955342622?s=46
https://thoughts.hmmz.org/2026-05-31.html
https://x.com/tobi/status/2053121182044451016?s=46
https://x.com/bojie_li/status/2049314403208896521?s=46
this is actually huge https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents
Showing the 12 most recent of 20 posts we hold for @didnotponder. 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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“没想清楚” (@didnotponder), 185 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/didnotponder.
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.