把一份 diff 拆成有章节的阅读顺序,逐章讲清楚每组文件改了什么、为什么改,最后产出一个用浏览器就能直接打开的单文件 HTML 评审页。 https://github.com/plannotator/guides 互联网充电|优质资源 优质内容|内幕消息

Channel
互联网从业者充电站
@https1024
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
31,017subscribers
+1,201 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 | -1001148179865 |
|---|---|
| Type | Channel |
| Username | @https1024 |
| Description | 互联网从业者专属 内容多为技术、产品、设计、运营等不同话题内容; 目标人群为程序员、设计师、产品经理、运营管理等不同职能。 投稿/合作: @inside1024_bot 内容来源网络 |
| Created | Between 1 May 2016 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/https1024 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 07:37 | 31,017 | +219 |
| 25 Sept 2026, 13:58 | 30,798 | +89 |
| 19 Sept 2026, 03:00 | 30,709 | +11 |
| 16 Sept 2026, 19:57 | 30,698 | +50 |
| 14 Sept 2026, 19:38 | 30,648 | +15 |
| 13 Sept 2026, 03:01 | 30,633 | +36 |
| 11 Sept 2026, 01:38 | 30,597 | +46 |
| 7 Sept 2026, 23:38 | 30,551 | +46 |
| 4 Sept 2026, 22:57 | 30,505 | +40 |
| 3 Sept 2026, 07:08 | 30,465 | +14 |
| 1 Sept 2026, 22:27 | 30,451 | -2 |
| 31 Aug 2026, 19:37 | 30,453 | +12 |
| 30 Aug 2026, 22:36 | 30,441 | +17 |
| 30 Aug 2026, 00:13 | 30,424 | -2 |
| 29 Aug 2026, 01:47 | 30,426 | +4 |
| 27 Aug 2026, 22:25 | 30,422 | +12 |
| 27 Aug 2026, 01:13 | 30,410 | +18 |
| 26 Aug 2026, 03:03 | 30,392 | +18 |
| 25 Aug 2026, 04:03 | 30,374 | +16 |
| 24 Aug 2026, 00:03 | 30,358 | first reading |
Engagement
1,303 posts held, back to 5 August 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 98 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.402%
- avg views ÷ 31,017 subscribers
- Avg views / post
- 125
- 636 posts measured
- Reaction rate
- 1.21%
- reactions ÷ views · ER floor
- Posts in window
- 636
- of 1,303 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 216 of 636 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 October 2026 |
|---|---|
| Posts held | 1,303 (5 August 2026 – 6 October 2026) |
| Views total | 79,262 |
| Reactions total | 313 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 15:37 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
- Photos
- ≈27,200
- Videos
- ≈1,130
- Links
- ≈15,700
Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1h 18m
- Average length
- 17s
Measured directly from 269 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
441 reactions across 285 posts, in 14 distinct kinds. The most used accounts for 51.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 227 | 51.5% | |
| 👍 | 169 | 38.3% | |
| ❤ | 33 | 7.48% | |
| 🤬 | 2 | 0.454% | |
| 🍌 | 1 | 0.227% | |
| 🍾 | 1 | 0.227% | |
| 🎉 | 1 | 0.227% | |
| 👏 | 1 | 0.227% | |
| 💅 | 1 | 0.227% | |
| 🔥 | 1 | 0.227% | |
| 😁 | 1 | 0.227% | |
| 😢 | 1 | 0.227% | |
| 😴 | 1 | 0.227% | |
| 🤔 | 1 | 0.227% |
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 299 of the 1,000 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 441 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 21 August 2026 to 6 October 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
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🤡2
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🤡2
很多人以为关系靠忍,其实是靠边界。 《敢于冲突》把一个不太舒服的事实讲明白: 压抑情绪不会让关系更稳定,只会让问慢慢堆积。 我们从小被教“别生气、别拒绝”, 结果长大后连基本的表达都变得困难。 书里反复强调一件事: 真正健康的关系,一定包含冲突,而且是被表达出来的冲突。 那些看起来“好相处”的人,往往在消耗自己; 而敢说不、敢表达不满的人,反而更容易建立清晰关系。 读完最大的变化不是学会吵架, 而是开始区分:什么该让,什么不能退。 🔗:https://pan.quark.cn/s/9a73dc1c4129 @meiriyishu
这个 Skill 装在 Claude Code 里用,输入教材 PDF,输出一个不用服务器的静态网页书。 流程被写死成六步:先把 PDF 按书签拆成章节文本,再列一张带标、单元、时长、状态的章节地图,然后拷贝引擎和封面模板,先做第 1 章交给人审,通过后才顺序做剩下各章。 https://github.com/DozenTwelve/Papermorph 互联网充电|优质资源 优质内容|内幕消息
以后让机器人参加奥运会吧,唯一缺点就是不能跳起来杀球。 互联网充电|优质资源 优质内容|内幕消息
你对 Claude Code 说一句「按月看营收、TOP 10 商品、按地区筛」,它写出 queries.sql 和 index.tsx,框架负责渲染、只读执行和热更新。 https://github.com/simonliu-ai-product/open-dashboard 互联网充电|优质资源 优质内容|内幕消息
看国外电影、直播、网课没有字幕?这个开源工具直接给电脑“装上实时翻译”。 Mimi 可以实时捕获电脑系统声音或麦克风,把人声直接变成悬浮字幕,支持原文、译文、中英双语显示。 支持 macOS、Windows、Linux。 看生肉电影、YouTube、国外直播和英文网课,这个真挺实用。 https://github.com/yuxino/Mimi 互联网充电|优质资源 优质内容|内幕消息
👍1
推荐一个 3.7 万+ Star 的清华计算机系课程攻略大全,学计算机的建议直接收藏。 从大一到大四,再到研究生,课程资料、参考书目、选课/考试攻略等都按学期整理好了。 上不了清华没关系,清华计算机的学习路线可以先抄一份。 GitHub:https://github.com/PKUanonym/REKCARC-TSC-UHT 互联网充电|优质资源 优质内容|内幕消息
在终端里把 Git 改动、源码浏览、提交历史和分支对比放进同一个 TUI,省去在 diff 工具和 git 命令之间来回切换。 https://github.com/hiroaqii/gitframe 互联网充电|优质资源 优质内容|内幕消息
👍1
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👍2
程序员的能跑就别动 具象化了 互联网充电|优质资源 优质内容|内幕消息
❤1
Showing the 12 most recent of 1,303 posts we hold for @https1024. 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 16 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.
@inside1024 · 107,64947 postsAI探索指南
@aigc1024 · 37,31323 posts优质信息收藏夹
@chunse1024 · 26,24621 posts出海🚢&自媒体运营秘籍
@yunying23 · 21,16116 posts两性知识
@liangxing365 · 14,15515 posts副业赚钱探索指南
@text1024 · 19,75615 posts书墨资源
@shumozy · 20,98514 posts中年人生存报告
@dogdairy · 14,06912 posts你不知道的冷知识
@knowledge1024 · 19,53212 postsChatGPT 精选
@AwesomeChatGPT · 15,0633 postsTG宝藏频道
@bzpick · 9,3471 postfeelings yiheng
@feelingsyiheng · 11 post收藏室
@guoran7 · 51 post零七八碎
@lingqibasui42 · 51 post频道收藏推荐
@taobao1024 · 2,7691 post工具
@weichenjilu · 11 post
Names
Channels on the register whose handles appear in this channel's posts.
@meiriyishu · 12,702817 posts优质信息收藏夹
@chunse1024 · 26,246747 posts你不知道的内幕消息🅥
@inside1024 · 107,649746 posts122体育💖PG电子💖麻将胡了💖AG捕鱼
@qsty8999 · 4,61847 posts122体育 赛事推荐、足球、nba篮球|世界杯
@QSTY988 · 4,96347 posts🏆182体育🏆官网福利
@vip182ty888 · 3,91247 posts182体育 精准赛事推荐、nba篮球、足球|世界杯
@VIP182TYTJ · 2,53647 posts🌸自慰 🌸反差🌸
@ziweifancha7 · 7,60147 posts🍉吃瓜🍉 搞笑🍉 新闻
@chiguagaoxiaoxinwen · 11,79246 postsN1国际u台 PG电子 麻将胡了 AG捕鱼 百家乐
@N1GW8 · 6,11937 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 5,01036 posts8K国际u台 PG电子 麻将胡了 百家乐
@GW_8KGJ · 7,66735 postsAI探索指南
@aigc1024 · 37,31320 posts中年人生存报告
@dogdairy · 14,06919 posts你不知道的冷知识
@knowledge1024 · 19,53219 posts两性知识
@liangxing365 · 14,15519 posts书墨资源
@shumozy · 20,98519 posts副业赚钱探索指南
@text1024 · 19,75619 posts出海🚢&自媒体运营秘籍
@yunying23 · 21,16119 posts8K国际官方频道
@PG8K001 · 56017 posts8G.com
@tg8g · 33,28214 posts【182体育】官网招商
@DLHY182TY · 63311 posts🔥【球速体育】🔥官网招商
@QSTY321 · 1,13210 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,5389 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.
@piracy6 · 77,545
Telegram ranks this channel #39 of 61 here — alongside 60 others — read 19 August 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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“互联网从业者充电站” (@https1024), 31,017 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/https1024.
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.