雷霄骅的博客当年应该是入门音视频领域的最好的中文资料。 直播,音视频,ffmpeg,SDL等讲得都十分清晰易懂。2016 年初才开始接触这个领域,当时几乎把他的每一篇文章都读过一遍和自己尝试复现一遍。结果没多久就听到了这个消息。
Signed 0ne Se7en

Channel
@se7enw
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
899subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001550874999 |
|---|---|
| Type | Channel |
| Username | @se7enw |
| Description | 看到更好的世界,分享我看到的值得一看的东西、我的想法。技术、数码、科技、生活。 关于我们在澳洲的生活 https://t.me/melroamers |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/se7enw |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 01:04 | 899 | no change |
| 7 Aug 2026, 18:54 | 899 | first reading |
16 posts held, back to 3 March 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 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 4 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 16 (3 March 2026 – 7 August 2026) |
| Views total | 4,956 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 01:04 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.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
41 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 31.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤯 | 13 | 31.7% | |
| ❤ | 12 | 29.3% | |
| 👍 | 11 | 26.8% | |
| 😱 | 4 | 9.76% | |
| 🎉 | 1 | 2.44% |
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 9 of the 16 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 41reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 3 March 2026 to 7 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.
雷霄骅的博客当年应该是入门音视频领域的最好的中文资料。 直播,音视频,ffmpeg,SDL等讲得都十分清晰易懂。2016 年初才开始接触这个领域,当时几乎把他的每一篇文章都读过一遍和自己尝试复现一遍。结果没多久就听到了这个消息。
Signed 0ne Se7en
FFmpeg 9.0版本刚发布了。这个版本的代号是“Lei” 按照惯例,“Lei” 应该是哪个计算机科学家/数学家,可想了好久也对不起来这是谁。 查了一下FFmpeg的开发邮件列表,才发现原来是纪念已故的@雷霄骅 [蜡烛]。 他在 2013–2016 年间撰写了大量 FFmpeg API、源码分析及音视频编解码、封装和传输协议方面的中文教程与示例,帮助许多中国开发者入门音视频和 FFmpeg。于 2016 年疑似因过劳突然离世。 今年是离世10周年,FFmpeg用了这个大版本号来纪念他。 ▎Source
Signed 0ne Se7en
做了一个小工具用于自动配置services的ssh port forwards,目前支持consul的service resolve。 https://github.com/0neSe7en/sshfwd 配置大概是这样的: [forward_sets.cluster] minio = 3900 pg = 12345 backend = 8080 ephemeral-redis = 16379 [resolvers.consul] type = "consul" address = "127.0.0.1:8500" [hosts.siyuan-test] resolver = "consul" forward_sets = ["cluster"] [hosts.siyuan-staging] resolver = "consul" forward_sets = ["cluster"] [hosts.siyuan-pr…
Signed 0ne Se7en
小时候一直觉得大连物价高,即使去北京上学,也觉得大连物价比北京还高。但经历了北京,上海,墨尔本生活多年后,4月份回大连,感觉物价相对低了不少,或者同样价格品质比北上墨尔本高,尤其是海鲜,十分无敌。 而我昨天在墨尔本的菜市场买了一条鱼和两只螃蟹(死的)花了60AUD...蚬子这种东西更不用说了,墨尔本25AUD/kg。
Signed 0ne Se7en
https://b23.tv/6B3DuOs
❤1👍1
Signed 0ne Se7en
看到阮一峰周刊里提到:"是国家出台统一算法就好了,为每个地点生成一个固定不变的位置码,用处就大了。" 想到Google在十多年前开发了Plus Codes https://maps.google.com/pluscodes/ https://en.wikipedia.org/wiki/Open_Location_Code 可以把地球上的任意地点(经纬度)映射到较短且便于分享的编码里。比如图里的 QV47+W89 。编码长度是6-15位,取决于想要达到的精度,比如10位就是10米的精度。 如果额外辅以城市名,则可以把编码进一步缩短到6位. 现在会被用在街道系统不完善的地区或者救灾急救中。
👍1
Signed 0ne Se7en
刚刚发现我之前的一个OpenAI Key泄漏了。才发现LiteLLM(Openclaw和Hermes),以及Tanstack/* https://tanstack.com/blog/npm-supply-chain-compromise-postmortem 最近都被影响过...
😱4
Signed 0ne Se7en
https://cursor.com/blog/agent-swarm-model-economics subagents的模式,高级模型规划,便宜/快速的模型执行这种方案大家已经讨论挺久了。Cursor算是又验证了一遍。当然,它没有对比最终的代码质量。
Signed 0ne Se7en
最近常用工具的变化: macOS --> PC(cachyos + niri)。这台台式机的CPU不如我的M4 Pro要差,但整体还是要macOS快太多了。更多内存,独立显卡。且现在Linux日常使用中没太遇到什么怀念macOS的功能。另外KDE Connect相当好用。 ghostty --> kitty + herdr。之前ghostty遇到过ssh的问题(即使修改了TERM),闪退,和一些小Bug,就换到kitty了。目前用起来不错。Herdr方便我在别的电脑上操作这个PC,但使用频率不高。 完全取消Claude订阅,现在所有的AI订阅:OpenAI $30 + Cursor $20。和本地托管的Gemma模型 因为同时有Cursor 和 Codex 订阅,并且感觉Codex越来越慢,于是换到了Pi。通过subagents,一部分任务直接用Cursor的Grok4.5或者Kimi,主要任务用gpt-5.6-sol。目前感觉…
👍7
Signed 0ne Se7en
最近看到的很不错的两个前端项目。 https://trees.software/ https://diffs.com/ 都是来自 https://pierre.computer/ 看起来还挺cool的
Signed 0ne Se7en
https://news.spencer.place/p/the-internet-has-no-benches
🤯1
Signed 0ne Se7en
看到 Dense Discovery #380 期。 现代人这种令人疲惫的“过度自我觉察”循环——不停监控自己,给每种情绪下诊断,对一切都本能地套用心理治疗式的话语:“所有事情都开始变得像一场诊断练习。如果我累了,那就是倦怠;如果我烦躁了,那就是情绪失调;如果我没有立刻回消息,那我不是在保护边界,就是在逃避亲密关系。我再也不是单纯地觉得烦。我永远都在‘处理情绪’。” “我们没有把注意力更多地转向外部,反而把它不断收回到自己身上,把批判性思考变成了过度思考;把自己的念头和语言层层审查,直到连‘拥有一个个性’都像是在做风险评估。这让人筋疲力尽。 我们却不知怎么建构出了一种文化:人在真正行动之前,就已经先被耗干了。如果任何事情都要求你时刻保持彻底的道德一致性,那么参与本身就会开始显得不可能。于是,比起不完美,沉默反而更安全。” Alex Olshonsky 在一篇很有意思的文章里把这个观点又往前推了一步:他认为,“思考”本身也…
❤3👍2
Signed 0ne Se7en
Showing the 12 most recent of 16 posts we hold for @se7enw. 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 — 1,393,001 of 1,480,688entries 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.
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.
Named by 1 registered channel — 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“All Is Well” (@se7enw), 899 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/se7enw.
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.