开源 Agent Skill:播客一键变小红书与 X 帖子 开发者 YeDaxia 开源了一款 Agent Skill,输入公开播客或视频链接,即可自动完成下载、转写、摘要提炼,并生成适配小红书和 X 平台的发布文案与图片卡片。项目已提供在线 Demo,基于一期《晚点聊》内容可完整体验全流程。 核心功能一览: • 支持 YouTube、Apple Podcasts、小宇宙、B 站等平台,自动下载音频并生成转写 • 将转写整理为分章节、适合阅读的完整全文 • 提取摘要、核心观点和金句 • 生成适合 X 的帖子和 Thread • 生成小红书标题、发布文案和图片卡片,提供 10 种卡片风格 • 卡片风格包括手绘涂鸦、新粗野主义、剪纸、中世纪现代、漫画书、包豪斯、杂志排版、复古未来主义等 • 网页内直接编辑文案和卡片,单张卡片可复制到剪贴板或导出 PNG,全部卡片可打包 ZIP 下载 • 多期播客可组织成本地访问和切换的网站 项…

Channel
独立开发与一人公司|独立开发·一人公司·出海
@IndieHackerCN
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,204subscribers
+9 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004400255940 |
|---|---|
| Type | Channel |
| Username | @IndieHackerCN |
| Created | Between 1 June 2026 and 3 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/IndieHackerCN |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 13:06 | 1,204 | +3 |
| 10 Aug 2026, 10:28 | 1,201 | +6 |
| 6 Aug 2026, 20:16 | 1,195 | no change |
| 6 Aug 2026, 19:52 | 1,195 | first reading |
Engagement
20 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.598%
- avg views ÷ 1,204 subscribers
- Avg views / post
- 7.2
- 20 posts measured
- Reaction rate
- 16.7%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (3 August 2026 – 6 August 2026) |
| Views total | 144 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:16 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 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 1reactions 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 3 August 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.
Recent posts
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Agent 调研新思路:少来回,多批量命令 最近有人在试一种 Agent 工作方式:减少 LLM 来回对话,改用单回合批量命令。测试任务是一份 15 页的东亚鱿鱼料理演示,需要同时找菜谱、图片和烹饪视频,还要确认链接、资源和多屏布局可用。 四次运行里,直接执行组平均 10 个回合、82 次工具调用;CLI 风格组平均 13.5 个回合、10.5 次调用。某个回合一次并行做了约 20 次菜谱/视频搜索,最后核对了 10 个来源、10 个不重复视频、15 个资源和 1440 / 768 / 390 三种屏幕宽度,还修掉了一个坏地址。 作者强调,只有四次运行,这不是"任何时候都更快"的结论;耗时有快有慢,token 统计来源也不同。 真正有用的点是:让 LLM 回合做判断,让命令做可搜索、可测试、可复查的工作。 交互任务和原始结果已公开,作者维护 Tura 和这套 benchmark。 可借鉴思路:把 Agent 工作流拆…
Showing the 12 most recent of 20 posts we hold for @IndieHackerCN. 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
Citation-graph rank — 141,230 of 1,478,351entries 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.
Mentions
Named by 32 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@AIPaperCN · 254 posts加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,1802 posts开发者工具箱|编程·开发工具·资源
@DevToolboxHub · 1,2112 postsiOS 侧载精选|巨魔·免签·解锁应用
@iOSSideloadCN · 222 posts纽约时报中文|国际时政·深度·评论
@NYTChineseDaily · 2132 postsAI前沿情报|AI新闻·大模型·ChatGPT
@AIDailyCN · 1,1941 post空投情报站|空投·测试网·撸毛教程
@AirdropIntelCN · 1,1991 post加密货币日报|币圈·行情·快讯
@CryptoDailyCN · 1,0561 postCrypto Markets & Analysis|Markets·Trading·Analysis
@CryptoMktLens · 1,2061 post网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,1911 postDeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,2061 post从太空看地球|卫星遥感·地球观测·科普
@EarthFromSpaceCN · 1,2901 post电商运营秘籍|电商运营·跨境·选品
@EcomOpsCN · 1,1761 post游戏日报|新作·热点·硬核
@GameDailyCN · 9841 postGitHub开源观察|开源项目·热门仓库·开发者
@GitHubTrendingHub · 1,3121 post房地产观察|楼市·房价·地产政策
@HouseWatchCN · 1,0591 post万物观察|自然·地理·科普
@NatureWonderCN · 1,0021 post新西兰生活报
@NZChineseHub · 2081 post远程项目库|兼职·外包·接单
@RemoteGigsHubCN · 1,2181 post海外远程岗位库|远程工作·海外招聘·数字游民
@RemoteJobsHubCN · 1,2421 post谷歌SEO与出海营销|SEO·GEO·独立站获客·流量增长
@SEOGrowthCN · 251 post股市趋势分析|A股·港股·大盘
@StockTalkCN · 1,0631 postWeb3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,4461 postWeb3 & Protocol Tech|Web3·Smart Contracts·Protocol
@Web3ProtocolDaily · 2101 post
Names
Channels on the register whose handles appear in this channel's posts.
@CNSocialFocus · 1,1822 postsCrypto Farsi|ارز دیجیتال·بیتکوین·تحلیل
@CryptoFarsiDaily · 1,3072 posts加密一线快讯|币圈·异动·突发
@CryptoNewsFlashCN · 1,0462 posts加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,1802 postsIndia Markets|Sensex · Nifty · Earnings · IPO
@IndiaMarketsCN · 202 posts每日沙雕图|梗图·段子·乐子
@MemeDailyCN · 252 posts万物观察|自然·地理·科普
@NatureWonderCN · 1,0022 posts软件工具库|软件推荐·效率工具·实用App
@SoftwareToolboxCN · 1,2012 posts国际新闻|突发·快讯·环球
@WorldNewsFlashCN · 1,1802 postsBBC中文|国际新闻·深度·时政
@BBCChineseDaily · 1,2021 post职业规划大师|求职·面试·职场晋升
@CareerPathCN · 1,1681 post吃瓜社🌸|猎奇·热搜·八卦·爆料
@ChiguaSheCN · 1,2211 postCrypto Markets & Analysis|Markets·Trading·Analysis
@CryptoMktLens · 1,2061 post网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,1911 postDeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,2061 post德国新闻(柏林 慕尼黑)
@GermanyChineseHub · 1,2081 post环球军事|军情·武器装备·战争观察
@GlobalMilWatch · 1,1971 post缅甸一线 仰光 曼德勒 妙瓦底
@MyanmarChineseCN · 1,3701 post东南亚新闻 · 东盟十国
@SEAChineseHub · 1,3551 post奇闻冷知识|冷知识·奇闻·趣事
@TriviaFactsCN · 1,1721 post俄乌战争·快讯情报📰|战报·军情·速递
@UAWarFlash · 1,0741 post俄乌战争·前线战场视频🎥|战场实拍·前线·军情
@UAWarVideo · 1,1811 postWeb3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,4461 post命理玄学馆|易经·八字·黄历·星座运势
@YijingDailyCN · 1,0531 post
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“独立开发与一人公司|独立开发·一人公司·出海” (@IndieHackerCN), 1,204 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/IndieHackerCN.
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.