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Channel

Martin的瞎叨叨空间🚀(讨论区已锁)

@martinsanytalk

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

1,696subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001176073699
TypeChannel
Username@martinsanytalk
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held11
Confirmed unchanged3 times, most recently 17 September 2026
On Telegramt.me/martinsanytalk

Topic

Personal blog — 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 17 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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

1,6921,6991,695.57 August 2026 — 1,692 subscribers7 August 2026 — 1,692 subscribers8 August 2026 — 1,693 subscribers11 August 2026 — 1,695 subscribers14 August 2026 — 1,697 subscribers17 August 2026 — 1,696 subscribers24 August 2026 — 1,699 subscribers28 August 2026 — 1,698 subscribers31 August 2026 — 1,699 subscribers4 September 2026 — 1,698 subscribers9 September 2026 — 1,696 subscribers1,6967 August 20269 September 2026
11 measurements spanning 33 days, net +4. 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 1,691–1,700 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 10:161,696-2
4 Sept 2026, 06:191,698-1
31 Aug 2026, 09:131,699+1
28 Aug 2026, 06:541,698-1
24 Aug 2026, 21:381,699+3
17 Aug 2026, 12:271,696-1
14 Aug 2026, 00:481,697+2
11 Aug 2026, 01:471,695+2
8 Aug 2026, 11:031,693+1
7 Aug 2026, 16:181,692no change
7 Aug 2026, 14:581,692first reading

Engagement

20 posts held, back to 16 July 2026the 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.

Reaction mix

16 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 37.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
637.5%
👍637.5%
🥰425.0%

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 16 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 16 July 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @martinsanytalk. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 16 July 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 15:41 UTC102 views3 reactionsread 7 August 2026

内耗是吃屎,焦虑是贷款吃屎, 别吃屎

🥰3

2 Aug 2026, 01:47 UTC241 viewsread 7 August 2026
Photo

当你打开了TikTok的翻译功能并刷到了猫咪第一视角的视频…

1 Aug 2026, 02:09 UTC219 views0 reactionsread 7 August 2026

Dario找到一个艺术家创作一副油画,主题是Anthropic在守卫国家安全。 一个月后艺术家拿来了一副大作,画面里黄仁勋举着Kimi,背后的展板上有Nvidia, Goodle, Meta, Microsoft, OpenAI, SpaceX, AMD等等好多公司的logo,唯独看不到Anthropic。 Dario疑惑不解,问Anthropic在哪里?艺术家说Anthropic在守卫国家安全。

31 Jul 2026, 06:32 UTC219 viewsread 7 August 2026

我上班的两种人格 摸鱼时:这钱挺好挣 干活时:给几个钱啊这么使唤恁蝶

30 Jul 2026, 22:35 UTC214 viewsread 7 August 2026
Forwarded from @alansboxPhoto

感觉不像是来救灾的,更像是来取我狗命的。

27 Jul 2026, 12:53 UTC280 viewsread 7 August 2026
Forwarded from @programmerhumorPhoto

@ProgrammerHumor Refactor

25 Jul 2026, 14:03 UTC≈1,210 views6 reactions1 Starread 7 August 2026

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

👍6

23 Jul 2026, 13:06 UTC284 viewsread 7 August 2026
Forwarded from @SolidotR

Linus Torvalds 谈 AI 和垃圾补丁 #Linux Linus Torvalds 曾说过大模型(LLM)会让程序员的生产力提升十倍。他在 2026 年印度开源峰会上说,这个数字并不科学,是他随口胡扯的。他说如今的希望是 LLM 给程序员带来的生产力提升能超过其造成的生产力损失。他说,大模型生成的垃圾远多于有用代码,而 AI 生成的 bug 报告浪费了维护者大量的时间精力。Torvalds 称大量 LLM 生成的补丁是无意义的创可贴,或许能解决当前问题,但类似 bug 仍然留在那里,随时可能在其他地方再次出现。他称自己会用 LLM 制作原型,LLM 生成的代码并不能直接使用,但是一个尝试新想法的好方法。他认为 LLM 还无法生成修复内核 bug 的补丁。 https://www.zdnet.com/article/open-source-summit-linus-torvalds/

Showing the 12 most recent of 20 posts we hold for @martinsanytalk. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

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.

Mentions

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.

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.

外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 29,174
Telegram ranks this channel #28 of 41 here — alongside 40 others — read 8 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Martin的瞎叨叨空间🚀(讨论区已锁)” (@martinsanytalk), 1,696 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/martinsanytalk.

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.