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Channel

优质信息收藏夹

@chunse1024

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

25,711subscribers

+4,431 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001854596532
TypeChannel
Username@chunse1024
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/chunse1024

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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

21,28025,71123,495.56 August 2026 — 21,280 subscribers6 August 2026 — 21,311 subscribers7 August 2026 — 21,325 subscribers8 August 2026 — 21,354 subscribers9 August 2026 — 21,398 subscribers10 August 2026 — 21,444 subscribers11 August 2026 — 21,478 subscribers12 August 2026 — 21,503 subscribers13 August 2026 — 21,548 subscribers15 August 2026 — 22,018 subscribers16 August 2026 — 24,181 subscribers17 August 2026 — 24,452 subscribers18 August 2026 — 24,523 subscribers19 August 2026 — 24,564 subscribers20 August 2026 — 24,619 subscribers22 August 2026 — 24,675 subscribers23 August 2026 — 24,756 subscribers25 August 2026 — 24,802 subscribers26 August 2026 — 24,849 subscribers27 August 2026 — 24,912 subscribers28 August 2026 — 24,960 subscribers29 August 2026 — 24,972 subscribers30 August 2026 — 25,003 subscribers31 August 2026 — 25,038 subscribers1 September 2026 — 25,082 subscribers2 September 2026 — 25,138 subscribers3 September 2026 — 25,194 subscribers5 September 2026 — 25,249 subscribers8 September 2026 — 25,365 subscribers11 September 2026 — 25,451 subscribers13 September 2026 — 25,514 subscribers14 September 2026 — 25,610 subscribers16 September 2026 — 25,670 subscribers19 September 2026 — 25,711 subscribers6 August 202619 September 2026
34 measurements spanning 44 days, net +4,431. 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 20,615–26,376 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 01:4025,711+41
16 Sept 2026, 17:1725,670+60
14 Sept 2026, 20:0125,610+96
13 Sept 2026, 03:1825,514+63
11 Sept 2026, 07:1625,451+86
8 Sept 2026, 08:2025,365+116
5 Sept 2026, 03:5725,249+55
3 Sept 2026, 09:0325,194+56
2 Sept 2026, 01:4125,138+56
1 Sept 2026, 04:4425,082+44
31 Aug 2026, 02:2425,038+35
30 Aug 2026, 01:5425,003+31
29 Aug 2026, 03:4724,972+12
28 Aug 2026, 00:5324,960+48
27 Aug 2026, 01:0524,912+63
26 Aug 2026, 02:4424,849+47
25 Aug 2026, 01:2224,802+46
23 Aug 2026, 15:4924,756+81
22 Aug 2026, 00:2424,675+56
20 Aug 2026, 18:5524,619first reading

Engagement

198 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.87%
avg views ÷ 25,711 subscribers
Avg views / post
995
117 posts measured
Reaction rate
0.147%
reactions ÷ views · ER floor
Posts in window
117
of 198 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 44 of 117 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held198 (2 August 20263 September 2026)
Views total116,438
Reactions total78
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:34 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
24m 46s
Average length
1m 27s

Measured directly from 17 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

220 reactions across 81 posts, in 13 distinct kinds. The most used accounts for 59.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13059.1%
👍4520.5%
💩104.55%
🤡104.55%
👏62.73%
👎41.82%
🤔41.82%
😁31.36%
🤬20.909%
🤮20.909%
🫡20.909%
🖕10.455%
🥴10.455%

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 100 of the 198 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 227 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 198 most recent posts we hold, published 2 August 2026 to 3 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

3 Sept 2026, 08:56 UTC197 viewsread 3 September 2026
Photo

小火箭策略组分流用的人多吗 最近感觉有使用场景 在研究🧐 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

3 Sept 2026, 07:06 UTC365 viewsread 3 September 2026

这个开源项目收集了数万个 Mac 系统好用的软件 在线地址:https://wangchujiang.com/awesome-mac/README-zh.html https://github.com/jaywcjlove/awesome-mac/blob/master/README-zh.md 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

3 Sept 2026, 05:14 UTC469 viewsread 3 September 2026

优质「资源⏬」收藏夹👇 https://t.me/meiriyishu 优质「信息✉️」收藏夹👇 https://t.me/chunse1024

3 Sept 2026, 03:43 UTC578 viewsread 3 September 2026
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iPhone 18 Pro 这个颜色有点好看🤓 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

2 Sept 2026, 23:58 UTC741 views1 reactionsread 3 September 2026
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模型训练崩了可以重来,人崩了怎么重启? 发现一个看得脊背发凉,却又舍不得关掉的网站:Hacker News Burnout Guide 一个专门收集“硅谷老哥血泪史”的文档库,聚焦程序员职业生涯中最致命的杀手:枯竭(Burnout)。 这是硅谷老哥们的血泪自救指南 ,它不是教你如何年薪百万,也不是教你如何带团队,而是教你在灵魂烧成灰之前,如何完成一次成功的“赛博逃生”。 这里有几百位资深工程师血淋淋的复盘。 他们会详细描述那种“确诊”瞬间:面对一行写了三年的代码突然感到生理性作呕,或者盯着屏幕半小时,却发现大脑已经无法理解逻辑嵌套。 更硬核的是,它提供的不是“鸡汤”,而是“处方”。 你以为自救就是请假去大理?这组指南会告诉你那叫逃避。 它给出的战术极其具体且反直觉: 1️⃣ “只做 Ticket 不思考”: 暂时关闭创造力,把自己降级成执行机器,给过载的大脑降频。 2️⃣ “物理隔离”: 彻底断开一切带屏幕的设备,去感受真实的重

1

2 Sept 2026, 20:27 UTC740 viewsread 3 September 2026
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对比Gpt 5.6 High和Opus 5在非编程是的推理能力,我把这张袁腾飞老师来到北美的照片喂给这两个模型,得出的以下结论: Gpt 5.6: 大概区域主观概率 加拿大南安省 / GTA 35–45% 美国东北部 / 五大湖地区 30–40% 加拿大大温地区 10–15% 美国其他温带地区10–15% 如果一定让我押一个城市圈,我仍然会首先押: Greater Toronto Area,尤其 Markham / Richmond Hill / Vaughan 一类社区。 Opus 5: 北美(大概率加拿大或美国)某郊区住宅区,独立屋/半独立屋密集排布,房屋两层以上,拍摄于顶层带阳台的房间,夏季晴天,居住者为亚裔家庭。 Gpt 5.6明显胜出 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

2 Sept 2026, 14:16 UTC870 viewsread 3 September 2026
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优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

2 Sept 2026, 14:14 UTC805 viewsread 3 September 2026
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优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

2 Sept 2026, 14:14 UTC771 viewsread 3 September 2026
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优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

2 Sept 2026, 10:01 UTC917 views1 reactionsread 3 September 2026
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Apple 新CEO火速入驻微博了 🤓 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

🖕1

2 Sept 2026, 07:10 UTC777 views0 reactionsread 3 September 2026
Forwarded from @inside1024

纳瓦尔在2008年的时候分享了他眼中的人生公式 幸福 = 健康 + 财富 + 好的人际关系 健康 = 锻炼 + 饮食 + 睡眠 锻炼 = 高强度力量训练 + 竞技类运动 + 休息 饮食 = 自然食物 + 间歇性禁食 + 蔬菜饮食 睡眠 = 没有闹钟 + 8-9小时睡眠 财富 = 收入 + 当前财富 * 投资回报比 收入 = 责任感 + 杠杆 + 专业知识 责任感 = 个人品牌 + 个人平台 + 承担风险 杠杆 = 资本 + 利用他人时间 + 知识产权 专业知识 = 社会不能大规模培训的能力 ROI = 长期持有 + 合理估值 + 安全边际 或许在2026年我们需要更新一下: AI = 超级“人力杠杆” 稳定币 = 全球无限制跨境金钱的 API 新一代专项知识 = 判断力 × 品味 × 真实世界理解 × 跨域组合能力 一人公司收入 = AI工具箱 + 内容矩阵 + AllScale稳定币系统 私人优质信息收藏夹 https://

2 Sept 2026, 07:06 UTC920 viewsread 3 September 2026

我是全网第一个在2024年10月预测cerebras、sambanova、groq会被OpenAI、nvidia、google这些大厂收购的人。 现在看起来,距离这个预言越来越近了。 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳

Showing the 12 most recent of 198 posts we hold for @chunse1024. 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.

Forward network

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.

Mentions

Named by 24 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.

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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“优质信息收藏夹” (@chunse1024), 25,711 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/chunse1024.

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.