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哇 cloudflare 大一统的 cli 真的来了啊，之前刚给大家推荐过用 MCP 操作 api，现在有 cli 来了感觉很赞啊 默认输出 JSON 并且有 cf cli search 用自然语言搜该用哪条命令 还有 cloudflare.config.ts 可以替代原来 wrangler.toml / JSONC 今天准备赶快去尝试一下

现在做个个人小工具或者出海小产品，不建议买云服务器、配环境、折腾 Nginx，纯属自己给自己找罪受。 静态前端直接扔给 Cloudflare Pages，连着 GitHub 推送就能自动构建，全球 CDN 一分钱不收。 后端接口全丢给 Cloudflare Workers，毫秒级冷启动，每天几十万次请求的免费额度根本用不完。 数据库直接上 D1，本质上就是开箱即用的边缘 SQLite，不用自己管连接池，更不用天天提防数据库端口被扫。 用户上传的文件和图片丢进 Cloudflare R2，兼容 S3 协议，出网流量费直接免掉。 验证码和通知邮件接个 Resend，每月 3000 封免费额度，写两行代码直接发，不用自己去伺候邮件服务器折腾解析。 整套全托管组合跑下来，每月几十万次请求直接零账单。 省下买服务器的几十块钱是小事，最爽的是不用半夜被叫醒看日志，也不用操心磁盘满不满。 不用伺候机器，小东西安安静静跑在边缘节点，用到地老天荒也不用掏一分钱。

Meta 宣布推出名为“Meta Enterprise Platform”的企业服务平台，正式把服务企业客户作为公司未来的核心业务支柱之一。 Meta 打算把自家的底层技术开放给各类公司和开发者使用。初期开放的技术包括智能助手 Muse、商业助手 Meta Business Agent、编程工具 Muse Code 以及相关的软件开发接口，方便企业把 Meta 的 AI 能力直接接入到自己的业务流程中。 为了负责这项新业务，Meta 挖来了企业软件领域的资深管理者 CJ Desai 出任首席企业平台官，直接向扎克伯格汇报。CJ Desai 之前担任过 MongoDB 的首席执行官，也在 Cloudflare 和 ServiceNow 担任过核心高管。 Meta 表示，后续会把保护数据隐私和系统安全放在首位，帮助不同规模的公司借助 Meta 的 AI 工具提高运转效率、拓展客户群。 官方公告：

A credit reset is coming soon for existing LightVela users, and plans that were temporarily sold out are now available again. For the past six months, we’ve been building a cloud AI companion that stays online and helps you get work done. Give it a try.

LightVela has been growing fast, and some plans temporarily sold out. We’ve expanded capacity, and those plans are now available again. Thank you to our existing users for your continued support! We’re adding a credit reset benefit for all of you and will reset your credits soon to keep your AI assistant running. 💡 LightVela, your personal AI in the cloud. New users now get: - 1 month free trial - 2 vCPU + 8GB RAM - 4,500 AI credits 🎁 Invite a friend to sign up and activate LightVela, and you’ll both receive 500 AI credits. Try Lightvela Now: China: International:

Cloudflare 悄悄开源了一个文档框架，叫 Nimbus。 它的口号是：文档要同时写给人和 AI agent 看。 我翻完 README，觉得这个方向可能会改变以后大家写文档的方式 🧵

TailScale & Cloudflare Tunnel 家里 ☁️ + VPS 都可以用上 公网 catch-all firewall + 22 端口 TS VPN 内穿透，公网 0暴露喵 分离了一下，个人服务丢自建云 对公网站丢 Worker 内网和公网服务器 走 TS 组大内网 CF Tunnel 再用 VPC Network 把 Worker 拉进内网，这下所有人都满意了 域名 mirror 部署 内网一个 *.example.net 外网一个 *.example.com 全部搞定 内网记录在公网 DNS 上留 10.10.10.x 内网地址，然后让 TailScale 作为劫持层，在外访问内网服务的时候可以把 内网地址 Magic 代理到 100.x.y.z 上彻底解决记住 ip 的问题喵

一段上涨开始回调，怎么判断它只是暂时走弱，还是原来的趋势也开始变了？ 有个好用的工具，Ichimoku Cloud，一目均衡表。 可以把短期变化和较长时间的走势放在一张图里，帮你逐步观察。 看懂它，可以先从两条线开始。 这个指标在TradingView 中的默认参数是 9，26，52，指的是 K 线根数，在日线上对应交易日，在小时线上对应小时。 转换线取最近 9 根 K 线的最高价和最低价，算出中点；基准线用同样的方法，统计最近 26 根。 比如最近 26 根 K 线的最高价是 110，最低价是 90，基准线就在 100。期间价格怎么来回波动，只要统计范围内的最高价和最低价没变，这条线就可以保持水平。 它表示的是这段价格区间的中间位置，和把每天收盘价加起来求平均的均线，计算方式不同。 转换线看的时间较短，通常变化更快。 它向上穿过基准线，说明短期价格区间的中点已经高于较长区间的中点，可以理解为近期走势在转强。 但这究竟是上涨在延续，还是下跌中的一次反弹，还要结合云层来看。 云层由两条边组成。 一条取转换线和基准线的平均值，另一条取最近 52 根 K 线的最高价和最低价中点，再把它们向右移动 26 根 K 线，中间填上颜色，就形成了云。 所以，图表右侧提前出现的云，依然是用已经发生的价格算出来的。它把这些参考位置画到前面，等后面的价格走过来，再观察两者的关系。 云越厚，说明两条边相隔越远，不能直接理解为那里有更多买盘或卖盘。 实际使用时，先看价格在云的什么位置，注意对照的是价格所在时点的云。价格在云上，走势偏多，在云下，走势偏空；反复穿进穿出，方向就还不清楚。 有了这一层判断，再看两条线的交叉就更容易理解。 同样是转换线上穿基准线，发生在云上，可以作为上涨走势中短期转强的信号；发生在云下，则可能只是下跌过程中的反弹。 它另一个实用的地方，是把回调的过程分开来看。 比如价格原本在云上，回落时先跌破转换线，但还在基准线之上，说明短期开始走弱。 如果接着跌破基准线，再进入云层，就需要重新检查原来的上涨趋势是否还在延续。这样看的是价格一步步退到了哪里，不必看到一根阴线，就急着判断趋势反转。 图里还有一条迟行线，它把当前收盘价向左移动 26 根 K 线，让你直接比较现在的价格和之前那段行情的位置。 它在过去的 K 线上方，说明现在的价格已经高于那时对应的位置；还缠在过去的 K 线中，就说明价格尚未明显拉开距离。 但是，读历史图时要注意，这条线是后来画回去的，不能把它当成当时就已经出现的信号。 它比较容易遇到的问题是横盘。 价格反复穿云，两条线也来回交叉，一段窄幅波动就可能给出多次方向变化。如果每次交叉都跟着操作，就容易在同一个区间里反复进出。

I cracked open Meta's Muse - here are some interesting bits 🔽 1. You can ask it for the entire contents of /opt/ and it will zip it up for you 2. There a ~70 preloaded skills and CLI for everything from spotify to instragram-cli 3. "Spaces" is their website builder that uses Tanstack, Bun and Tailwind. Sharing a site deploys it to Cloudflare 4. It will install anything - like a torrent client 5. It has it's own "Muse DB" with a skill to query its own memories/convos with strict guard rails 6. There are a few things not enabled on my account, including "muse mail" which will give muse an inbox and ability to send email Generally impressed that you can just do anything - it's not limited or watered down like I would have imagined

I’ve seen a couple of posts about this so wanted to demystify. Today, every Muse user gets a free computer in the cloud. It's a real computer, and we’ve designed the security architecture of the Muse Secure VM carefully so you and your Muse can do almost anything you could with a computer sitting under your desk while keeping you and the system safe from threats like prompt injection. We wrote about this at length in our security blog post – Activity in the “runtime cell”, which you share with your Muse is unfettered, but sensitive actions are all overseen by the Sentinel, which runs outside of that cell. Similarly, all sensitive secrets - like the passwords you enter into Muse’s secure credential storage - are also stored outside the runtime cell. The runtime cell gets its own root filesystem (including a full Ubuntu linux image) separate from the host filesystem where your other more sensitive data lives. Because it is isolated from the sensitive stuff that runs on the same box, this means that we can, and do, offer users full visibility and control over the files in the runtime cell. Just as you can when you install Linux on your home computer, you can poke around and see all the files that make the system work - both debian system files and the binaries and data files that implement the parts of Muse which run in the runtime cell. This was a very deliberate choice - your Muse Secure VM truly is your own computer in the cloud. You can install software in it, write and compile code, use the browser to surf the web: it is your own Linux box that you can operate as you choose with your Muse. Poking around in this computer doesn't give you any privileged access to Meta infrastructure, or to other people's data If I may geek out a little here for a second… As a kid I loved to take things apart to see how they worked. As a teenager I got into computers and soon found myself drawn to C:\WINDOWS\SYSTEM and the system registry, later Slackware’s /dev/, /proc/ etc – I could see how the system was laid out and as I explored what DLL files and .so files actually did, I gradually became able to meld the computer to my own will. We’re really proud to be able to put a real computer in millions of people’s hands with a similar level of transparency. We built a file explorer right into the Library tab of the UI. We want you to be able to see the markdown files Muse writes while it thinks about how to serve you better, and explore the internals of the system if you’d like to. So, when you ask your Muse to show you its entire filesystem, and receive gigabytes of files you’re seeing the full contents of the runtime cell. It’s yours to explore and enjoy! If you’re not a geek like me, or simply want to download the data that you personally have created directly with your Muse, we added a feature for that too in Settings > Data controls > Download your agent data.