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dex

@dexhorthy英文区开发者/创作者X 主页 数据 9月27日 11:58 — 11月1日 15:21
日均 2.7 条活跃 31 天带媒体 27.7%
帖子
101
活跃 31 天 / 跨度 37 天
中位浏览
795
P90 1,979 · 平均 1,878
互动率
0.8%
中位赞 6 · 最高 300

发布节奏

最近 12 周
09-21
09-28
10-05
10-12
10-19
10-26
柱状图,最大值 27 条

每周中位浏览

最近 12 周
09-2109-2810-0510-1210-1910-26
峰值 8,642

发布时间

颜色 = 中位浏览
最佳时段 06:00最佳星期 周三更优形式 带图/视频
036912151821
一
二
三
四
五
六
日
少多

爆款 vs 日常

爆款 = 浏览前 10%
指标爆款日常
帖子1190
带媒体36.4%26.7%
回复0%0%
平均字数207188
中位浏览7,872750

打法建议

只陈述相关性
  • 互动最好的时段是 06:00 前后(北京时间),中位浏览 1,246。
  • 一周里 周三 的中位浏览最高。
  • 形式上 带图/视频 的中位浏览更高(829 vs 790)。
  • 爆款里带媒体占 36.4%、回复占 0%;日常分别是 26.7%、0%。
  • 当前节奏约 2.7 条/天,日均浏览 1,878。

内容结构

按本站分析的分类(近 120 天)
  • 观点34
  • 产品12
  • 产业5
  • 论文5
  • tip5
  • 模型2
Agent · 32其他 · 31大佬观点 · 26产品更新 · 12编码 · 11部署/工程 · 10现象/趋势 · 10评测/基准 · 10Anthropic · 8MCP/工具调用 · 7开源/仓库 · 7教程/实践 · 5

形式与语言

帖子占比
  • 纯文字73
  • 图片21
  • 视频7
英文 · 97无语言 · 2qst · 1未识别 · 1

回复占比 0% · 引用 49.5% · 带媒体 27.7%

互动最高的帖子

按浏览排序
  1. 1

    jev scoring as a RAG reranker makes a ton of sense. nice applications from the folks running rippling's internal gtm machine

    浏览 4.1万赞 300转 209月28日 11:39原帖
  2. 2

    bro thinks I’m just made of benchmarks lol

    浏览 2万赞 94转 09月30日 01:40原帖
  3. 3

    i heard you guys like slop (also yes, opus 5.5 is good ikik)

    浏览 1.4万赞 135转 39月30日 09:55原帖
  4. 4

    got tired of watching slopcodebench boxes progress so made something a little...sloppier

    浏览 8,642赞 33转 09月27日 11:58原帖
  5. 5

    we out here

    浏览 8,425赞 27转 19月28日 07:35原帖
  6. 6

    AI and GTM at Rippling: 🦄 ai that works with @vaibcode and @JohnKutay https://x.com/i/broadcasts/1XxygwaqOpyGM

    浏览 7,872赞 27转 29月30日 06:04原帖
  7. 7

    @humanlayer_dev x @EffectTS_ live from SF

    浏览 7,608赞 61转 29月30日 08:21原帖
  8. 8

    they don't call him kyle "55 minutes ahead of geoff huntley" mistele for nothing

    浏览 6,956赞 17转 09月30日 05:17原帖
  9. 9

    yet another deeply unsaturated benchmark on model’s ability to maintain a codebase

    浏览 2,363赞 28转 210月1日 23:31原帖
  10. 10

    anthropic built their own git. Most interesting mental shift here, and if you buy that changing code happens more and more autonomously, faster*, then this will make a ton of sense: Git was designed so that any client could serve the repo. Fully offline, your *build time* dev stack is never in the hot path for your *run time* deployment. Anthropics new version control system (VCS) does not work offline. There’s a central server which must be reachable for clients to function. They found a bunch of benefits to doing it this way. At first this sounds wild. Today if GitHub is down, you can’t pull or push or merge. Imagine if you couldn’t COMMIT if GitHub was offline. But in a (someday, maybe) future where code changes 1000x per day with no human in the loop, then your VCS is basically part of production anyway, so you might as well lean into keeping it online with a team of SREs etc, and then you get all sorts of interesting perf benefits for CLIENTS because you can offload some processing to server and re architect what all needs to be stored where * I’m not sure I buy this, but the labs are certainly pushing “don’t read the code, leverage signals like “outage, feature request, user behavior change” as STIMULUS to agents to drive change in deployed code” as the future, so it lines up Does that make sense? Are we going back to CVS instead of distributed? Will there be another swing back to distributed 5-10 years after things like Scion become Mainstream?

    浏览 2,138赞 36转 110月14日 02:48原帖
  11. 11

    this is exactly why we talk about leverage and what /show-me is for https://www.youtube.com/watch?si=kPO3wH00gA3XQKhV&t=2959&v=-w6RDNBAI0E&feature=youtu.be

    浏览 1,979赞 7转 010月1日 03:25原帖
  12. 12

    great post from @exedev team - the same thing that has always been true of software engineering is still true: Do fewer things in parallel, do them very well, optimize for getting incremental value out to users, FOCUS It's been 30 years since the XP and Lean folks said "limit work in progress (50+ if you count the eli goldratt thing) - its still true https://blog.exe.dev/etoomanythings

    浏览 1,865赞 43转 310月2日 00:38原帖

点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。