Telegram RegisterThe public register of Telegram

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
TypeChannel
Username@IndieHackerCN
CreatedBetween 1 June 2026 and 3 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/IndieHackerCN

Growth

1,1951,2041,199.56 August 2026 — 1,195 subscribers6 August 2026 — 1,195 subscribers10 August 2026 — 1,201 subscribers13 August 2026 — 1,204 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +9. 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 1,194–1,205 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:061,204+3
10 Aug 2026, 10:281,201+6
6 Aug 2026, 20:161,195no change
6 Aug 2026, 19:521,195first reading

Engagement

20 posts held, back to 3 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 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (3 August 20266 August 2026)
Views total144
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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

6 Aug 2026, 17:54 UTC2 viewsread 6 August 2026

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

6 Aug 2026, 17:00 UTC2 viewsread 6 August 2026

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6 Aug 2026, 06:26 UTC5 viewsread 6 August 2026
Photo

AI语音出海:多语言不等于本地化 亚太市场对AI语音代理的需求正在爆发,但单纯支持多语言远远不够。e27 一篇分析指出,过去一年企业关注点已从“AI能否自然对话”转向“如何真正落地”,现代语音代理已能完成线索筛选、预约安排、客户咨询等日常交互,但本地化才是关键瓶颈。 核心观点 • 多语言支持只是基础,真正的本地化涉及文化语境、方言习惯、支付偏好、合规要求等深层差异 • 语音代理已能胜任线索筛选、预约安排、客户咨询等常规交互,技术门槛不再是主要障碍 • 亚太市场碎片化严重,每个国家/地区的语言习惯和商业规则差异大,一套方案打天下行不通 • 出海团队需要针对目标市场做深度适配,而非简单翻译 可借鉴思路 做AI语音出海产品时,别只盯着语言模型支持多少种语言,优先调研目标市场的本地化需求——比如东南亚的混合语码习惯、日韩的敬语体系、印度的英语口音差异,这些才是产品能否被接受的关键。 @IndieHackerCN

6 Aug 2026, 05:48 UTC6 viewsread 6 August 2026

用 iPhone 扫一扫,找出家里伤眼的频闪光源 一位高度近视加散光的独立开发者,因为自己长期被屏幕和灯光频闪困扰,干脆做了一款 iOS 工具。用 iPhone 后置摄像头多快门采样加降噪算法,对着光源扫一下,就能判断有没有频闪,顺带估测照度和色温。 开发者的痛点很具体:OLED 屏有肉眼不可见的闪烁,家里的顶灯和氛围灯居然也有低频 100Hz 频闪,护眼灯也可能中招。这类问题靠肉眼很难发现,专业仪器又太贵,于是就有了这个消费级快筛工具。 使用方式很简单:打开 App,点击开始扫描,稳住手机对着光源等一会儿,就能得出是否有频闪的结论。如果取景框本身在闪,那基本就是有频闪了。 产品定位很克制,作者明确说明这只能做消费级快筛,不能替代专业光度计和频闪仪,也不作为医疗诊断依据。 定价策略值得参考: • 中国大陆、中国香港、中国台湾售价 ¥1,其他地区 $1,一次买断 • 收费原因很实在:上架 App Store 每年要交 ¥

6 Aug 2026, 05:00 UTC6 viewsread 6 August 2026

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5 Aug 2026, 17:53 UTC11 viewsread 6 August 2026

PickZ:选中即用的轻量 AI 悬浮助手 读英文文档、技术博客时,最烦来回切换翻译工具。沉浸式翻译主打整页对照,但很多时候只想看懂某一段,甚至想让 AI 解释某个概念。PickZ 就是为解决这个痛点做的 Chrome 插件:在任意网页选中文字,旁边浮出按钮,点击即可翻译、总结、改写、解释,结果在小悬浮窗里流式输出,复制、重试都在手边。 核心功能 • 选中即用:选中文 → 悬浮按钮 → 翻译/总结/改写/解释,四选一 • 单词语典模式:选中单个英文单词,直接给出音标、词性、例句、搭配、同反义词,不用再开词典 App • 页面级操作:右键"总结此页/翻译此页",自动提取正文,不用手动复制全文 • 快捷键:Ctrl+Shift+K 直接唤出悬浮窗 • 外观:跟随系统/亮/暗主题,字体大小、悬浮窗宽度可调,窗口位置跟随选中处 • 流式输出 + 复制/重试按钮 模型与费用 • 内置 DeepSeek V4 Flash,免费 20

5 Aug 2026, 17:00 UTC12 viewsread 6 August 2026

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5 Aug 2026, 12:05 UTC11 viewsread 6 August 2026
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东南亚保险科技赛道升温,健康与财富规划成新战场 东南亚保险业正成为数字化的激烈战场。一批保险科技公司正在改写传统规则,从新加坡的 bolttech 和 Igloo 等玩家切入,覆盖健康、财富与遗产规划多个领域。有的真正解决了用户获取保险服务的渠道缺口,有的只是把旧产品套上 App 和 API 重新包装。 赛道现状 • 传统保险公司的痛点集中在保费流程繁琐、理赔 paperwork 沉重 • 新兴 insurtech 玩家试图用数字化手段简化投保与理赔体验 • 竞争已从单一险种扩展到健康、财富、遗产规划的综合服务 可借鉴思路 • 传统行业 + 数字化改造仍有大量机会,关键是找到真正的用户痛点 • 不要只做表面数字化,要解决实际访问缺口才有竞争力 • 从细分领域切入,逐步扩展服务范围是常见路径 #独立开发 #副业 #保险科技 #东南亚 #出海 #Insurtech @IndieHackerCN

5 Aug 2026, 06:26 UTC11 viewsread 6 August 2026
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Web3 正在成熟:下一代公司的四个特征 Web3 不再是非涨即崩的极端叙事。市场狂热时它是万能答案,回调时又被宣判死亡,两种判断都偏离现实。真正发生的是行业在沉淀,新一代 Web3 公司开始按商业逻辑运转。 下一代 Web3 公司的关键特征 • 从代币炒作转向真实产品,先解决具体问题再谈区块链 • 收入模型回归传统 SaaS 逻辑,订阅与使用付费取代纯投机 • 合规前置,主动适配各地区监管框架而非绕开 • 团队背景多元化,加密原生与 Web2 商业人才混合组建 可借鉴的思路 无论是否做 Web3,这套逻辑同样适用于独立开发:先验证需求再选技术,收入模式越简单直接越好,别把叙事当产品。 #独立开发 #副业 #Web3 #一人公司 #IndieHacker @IndieHackerCN

5 Aug 2026, 06:00 UTC11 viewsread 6 August 2026
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全球市场集体新高,哪类资产在说谎? 美股主要指数近期接连打破纪录,数字资产同步回暖。市场情绪从谨慎转向激进,背后是通胀压力缓解与地缘局势意外降温。原油跌破 80 美元,黄金逼近 4000 美元,比特币仍在 64000 美元附近徘徊。各类资产走势分化,投资者需要分辨哪些是真实趋势,哪些是短期噪音。 • 美股主要指数创下历史新高,超出分析师预期 • 通胀担忧缓解成为本轮风险偏好回升的直接推手 • 地缘政治紧张局势出现意外缓和,进一步提振信心 • 原油价格维持在 80 美元下方,显示需求端预期偏弱 • 黄金接近 4000 美元,避险与抗通胀逻辑仍在 • 比特币停留在 64000 美元,未跟随股市同步走强 各类资产定价逻辑各不相同。股市反映盈利预期改善,黄金定价实际利率与央行购金,比特币更多受流动性驱动。当它们走势背离时,往往意味着市场对宏观路径的判断存在分歧。 对独立开发者而言,这种分化期反而是观察用户付费意愿与行业景气度的窗

5 Aug 2026, 05:01 UTC7 viewsread 6 August 2026

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4 Aug 2026, 23:55 UTC7 viewsread 6 August 2026

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.

AI 论文精读|每日精选论文
@AIPaperCN · 25
4 posts
加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,180
2 posts
开发者工具箱|编程·开发工具·资源
@DevToolboxHub · 1,211
2 posts
iOS 侧载精选|巨魔·免签·解锁应用
@iOSSideloadCN · 22
2 posts
纽约时报中文|国际时政·深度·评论
@NYTChineseDaily · 213
2 posts
AI前沿情报|AI新闻·大模型·ChatGPT
@AIDailyCN · 1,194
1 post
空投情报站|空投·测试网·撸毛教程
@AirdropIntelCN · 1,199
1 post
加密货币日报|币圈·行情·快讯
@CryptoDailyCN · 1,056
1 post
Crypto Markets & Analysis|Markets·Trading·Analysis
@CryptoMktLens · 1,206
1 post
网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,191
1 post
DeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,206
1 post
从太空看地球|卫星遥感·地球观测·科普
@EarthFromSpaceCN · 1,290
1 post
电商运营秘籍|电商运营·跨境·选品
@EcomOpsCN · 1,176
1 post
游戏日报|新作·热点·硬核
@GameDailyCN · 984
1 post
GitHub开源观察|开源项目·热门仓库·开发者
@GitHubTrendingHub · 1,312
1 post
房地产观察|楼市·房价·地产政策
@HouseWatchCN · 1,059
1 post
万物观察|自然·地理·科普
@NatureWonderCN · 1,002
1 post
新西兰生活报
@NZChineseHub · 208
1 post
远程项目库|兼职·外包·接单
@RemoteGigsHubCN · 1,218
1 post
海外远程岗位库|远程工作·海外招聘·数字游民
@RemoteJobsHubCN · 1,242
1 post
谷歌SEO与出海营销|SEO·GEO·独立站获客·流量增长
@SEOGrowthCN · 25
1 post
股市趋势分析|A股·港股·大盘
@StockTalkCN · 1,063
1 post
Web3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,446
1 post
Web3 & Protocol Tech|Web3·Smart Contracts·Protocol
@Web3ProtocolDaily · 210
1 post

Names

Channels on the register whose handles appear in this channel's posts.

中文社会热点|社会·民生·舆情
@CNSocialFocus · 1,182
2 posts
Crypto Farsi|ارز دیجیتال·بیت‌کوین·تحلیل
@CryptoFarsiDaily · 1,307
2 posts
加密一线快讯|币圈·异动·突发
@CryptoNewsFlashCN · 1,046
2 posts
加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,180
2 posts
India Markets|Sensex · Nifty · Earnings · IPO
@IndiaMarketsCN · 20
2 posts
每日沙雕图|梗图·段子·乐子
@MemeDailyCN · 25
2 posts
万物观察|自然·地理·科普
@NatureWonderCN · 1,002
2 posts
软件工具库|软件推荐·效率工具·实用App
@SoftwareToolboxCN · 1,201
2 posts
国际新闻|突发·快讯·环球
@WorldNewsFlashCN · 1,180
2 posts
BBC中文|国际新闻·深度·时政
@BBCChineseDaily · 1,202
1 post
职业规划大师|求职·面试·职场晋升
@CareerPathCN · 1,168
1 post
吃瓜社🌸|猎奇·热搜·八卦·爆料
@ChiguaSheCN · 1,221
1 post
Crypto Markets & Analysis|Markets·Trading·Analysis
@CryptoMktLens · 1,206
1 post
网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,191
1 post
DeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,206
1 post
德国新闻(柏林 慕尼黑)
@GermanyChineseHub · 1,208
1 post
环球军事|军情·武器装备·战争观察
@GlobalMilWatch · 1,197
1 post
缅甸一线 仰光 曼德勒 妙瓦底
@MyanmarChineseCN · 1,370
1 post
东南亚新闻 · 东盟十国
@SEAChineseHub · 1,355
1 post
奇闻冷知识|冷知识·奇闻·趣事
@TriviaFactsCN · 1,172
1 post
俄乌战争·快讯情报📰|战报·军情·速递
@UAWarFlash · 1,074
1 post
俄乌战争·前线战场视频🎥|战场实拍·前线·军情
@UAWarVideo · 1,181
1 post
Web3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,446
1 post
命理玄学馆|易经·八字·黄历·星座运势
@YijingDailyCN · 1,053
1 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.