与「HTML」相关的搜索结果

这个一键视频生成工具 HyperFrames 有点火爆！ 要注意的是，这不是传统意义上的视频生成，而是以HTML为入口的可以理解为加强PPT版本的视频工具 特别适合内容创作者介绍项目，产品演示，梳理内容之类的使用 HyperFrames 的思路很直接：Write HTML，Render video。画面、排版、字幕、动态元素都可以先用 HTML 表达，再交给渲染流程生成视频，agent 更容易按要求改。 GitHub 现在约 21.8k stars。做自动化视频、产品演示、教程短片的人，可以先试试把脚本和画面要求交给它。 仓库地址：

兄弟们！ 现在已经可以在 ZenMux 上免费体验 Claude Opus 4.8 了！ 我第一时间用它跑了那个Hugging Face大佬M 硬核的「Three.js 纯图元造飞机测试」，要求只用内置几何体（Box、Cylinder、Cone、Sphere…），不准用任何模型加载器，纯手搓一架高细节波音 747-400。 （见视频-Prompt 见评论区） Opus 4.8 从输入提示词到生成完整可运行的 HTML 网页（后掠机翼 ~35°、四台发动机精准吊装、驼峰上层客舱、可收放起落架动画、翼梢小翼、导航灯频闪），一次成型！ 整体效果非常惊艳：比例严谨到离谱、从正面/侧面/俯视/3/4 视角一眼就是 747、连发动机吊架的角度都对！ 熟悉的老朋友都知道，ZenMux 每次新模型都是 ZeroDelay 首发，并且限时免费额度体验！ Anthropic 旗舰刚发布，现在立刻就能通过 API 调用！ 另外平台 还“有赔付保障的生产级 AI Gateway”，统一接入 + 路由 + 可用性 + 赔付保障，快速尝鲜首选 复杂空间推理 + 一次成型的工程代码能力是真的没话说，几乎不用返工。 专为 Agent 与长程编码设计，在 SWE-bench、Terminal-Bench、Agentic Coding 等多项榜单直接拿下第一！ 代码与多模态理解全面超越上一代，复杂三维结构、物理比例、动画时序都拿捏得死死的。 完全兼容主流 API 格式，无需改动现有工具链。 支持按量计费 + Builder 套餐。 👇 Promot直接体验见评论区：

很多人写内容，死在最后一步：东西写出来了，但不好看。 发公众号要排版，发小红书要卡片，发 X 要配图，做汇报要 Deck，做产品要页面。 HTML Anything 这个项目，思路很直接： 你给它 Markdown、表格、JSON、笔记，它让本地 AI 帮你变成能直接发布的 HTML 或 PNG。 这个项目最适合内容工作者和接单党。 你可以把“写一篇内容”升级成“交付一套内容资产”：正文、卡片、海报、长图、页面一起给。 同样一份信息，别人只发纯文字，你能交付成品视觉。 差距就在这里。 GitHub：

很多人用 Codex、Claude Code 做情报监控，第一步就错了：直接丢网页链接，AI 看到的是一坨脏 HTML，广告、弹窗、导航、废话全混在一起。 Firecrawl 解决的就是这个破事。 它能把任意网站抓下来，直接整理成干净的 Markdown 或结构化数据，AI 拿到之后才真的能干活。 这东西用在什么地方最香？ 盯竞品价格、抓小红书/独立站素材、整理潜在客户、监控项目更新、每天自动生成行业日报。 你给它一批网址，它负责清洗网页； Codex 负责写脚本、接数据库、做定时任务； 最后吐给你的是一份能直接看的情报表。 说白了，以前你刷网页找信息，现在让 AI 替你巡逻。 🔗

昨天那个 md2wechat-skill 很多人收藏 今天再分享一个很适合中文创作者的 Skill：claude-design-card。 它可以把一段文字、一个 URL、一篇文章，直接生成能发出去的视觉卡片，比如公众号首图、小红书图文卡、教程步骤卡、对比分析卡、金句分享卡、数据大字卡、B站/YouTube 封面、视频号/抖音竖版封面、长文杂志排版图。 我觉得它最有用的点不是好看，是把内容创作者最烦的那段流程接上了：写完文章后，自动提炼重点、选择版式、生成 HTML，再截图成 PNG。以前这一步你可能要开 Figma、Canva，或者找模板一点点改。 昨天是 Markdown 到公众号排版，今天是文字到可发布视觉物料。 如果你经常写公众号、小红书、教程、项目介绍，这个可以收藏试试。 开源链接：

In 1990, the World Wide Web was invented on Steve Jobs' computer. Steve ignored it. This is the story I tell in my new book Steve Jobs in Exile. Here is what it should tell the rest of us about the moment we are in now. Steve was running NeXT, an unsuccessful computer company. He had been pushed out of Apple five years earlier and was burning his fortune trying to build a successor to the Macintosh. The machine NeXT sold was a matte-black magnesium cube -- expensive and beautiful and not selling. In October of that year, on the other side of the Atlantic, a British physicist named Tim Berners-Lee took delivery of a NeXT Cube at CERN, the physics laboratory on the Swiss-French border. He used it to invent the World Wide Web. The web ran on the Cube for its first year of existence. The revolution was happening on Steve's hardware, and yet Steve ignored it. Here is the question I keep thinking about from my book. If Steve Jobs, the most visionary tech mind of his generation, missed the Web, the most civilization-shaping tech of his lifetime, how are the rest of us supposed to see anything coming? Berners-Lee had been asking his boss at CERN for a NeXT Cube for months. His boss finally signed off, hoping to test the exotic Cube. "He suggested that I should buy one of these NeXT machines I'd been talking about so enthusiastically," Berners-Lee later told Fresh Air. "And if we needed a sort of test project to run on the NeXT machine ... 'Why not just do this hypertext thing you're talking about?'" The "test project" evolved into the World Wide Web. The problem Berners-Lee was trying to solve was not a glamorous one. CERN employed thousands of scientists from over a hundred countries, most cycling through on short assignments and taking their knowledge with them when they left. Berners-Lee was trying to keep institutional knowledge from walking out the door. He wanted a system that worked the way human memory does, where any piece of information could connect to any other without permission or central control. Through late 1990, he coded in his gray-floored office. The Cube's object-oriented system let him build in months what would have taken a year on anything else. By December, the first website went online. The World Wide Web now existed, running on a single black NeXT Cube in CERN's Building 31. Berners-Lee scrawled a warning on it in red ink: "This machine is a server. DO NOT POWER IT DOWN!!" Underneath the elegant interface he was building HTTP, HTML, and the server software that would deliver web pages. These three inventions would form much of the invisible plumbing of our modern connectivity. When a colleague of Berners-Lee's brought a demo of the Web to NeXT's headquarters in California, he could not get anyone there to pay attention. Nobody even dared show it to Steve, afraid he would dismiss it. NeXT was busy with its own internet plans, which Steve eventually killed. So back to the question. If Steve Jobs missed the web, how are the rest of us supposed to see whatever comes next? The honest answer is that we cannot. Nobody can. The rest of us are not going to outpattern-match Steve Jobs. But here is what I learned writing Steve Jobs in Exile. Transformations almost always begin in obscurity, on the margins, solving boring problems with boring tools. The web did not look revolutionary in 1990. It looked like a tool for sharing physics papers. We are in another such moment now. AI is the obvious changemaker. But the biggest transformations are rarely the obvious ones. The next one is happening somewhere right now, and it is trickier to spot than any sweeping proclamation about AI. We will recognize it, if we recognize it at all, from the unglamorous work few people are focused on. I will not speculate on what Steve would have made of AI today. But if he could miss the Web, the rest of us are going to have to look harder. Photo of the original CERN NeXT Cube courtesy of Robert Scoble.

别再把 Codex 只当聊天工具用了～ 装上这11个官方插件，Codex直接变成你的生产力外挂！ 别人还在手动做图、抠 PPT、抓数据…… 你已经一句话搞定海报、视频、数据分析和日程管理～ 下面我把每个插件的实际效果都录出来了，直接看效果～ 1️⃣视觉 & 设计神器 · Canva：一句话调用百万专业模板，海报、朋友圈图、封面秒出 · Figma：扔需求或代码，一键生成高保真可编辑设计稿 · HyperFrames by HeyGen：HTML/脚本自动渲染高质量视频 · Remotion：专业级视频动效和动画，效果直接拉满 2️⃣办公 & PPT狂魔 · Presentations：给个主题，自动生成高质量PPT初稿+完整大纲 · Spreadsheets：复杂公式、图表、数据分析一气呵成 3️⃣内容 & 数据深度工具 · Documents：长文章提炼、总结、写PPT脚本 · BioRender：科研/医学图表，秒出专业科学插图 · Windsor ai：一键拉全网营销数据并自动分析 4️⃣自动化王炸 · Chrome：Codex直接操控浏览器，自动读网页、抓数据、填表 · Google Calendar：自动创建会议、管理日程，排会效率翻倍 安装方式：Codex App → 左侧「Plugins」→ 搜索名称直接安装（30秒搞定）

Turn any document into structured data for AI agents! Firecrawl just released a new parse endpoint. Upload local files or non-public documents and get back clean, LLM-ready data. The parse endpoint converts PDF, DOCX, XLSX, HTML, and other formats into Markdown, JSON, or structured output. Reading order and tables are preserved. Upload a file via multipart/form-data. The endpoint processes it using a Rust-based engine (up to 5x faster) and returns your chosen format. Key capabilities: • Multiple output formats: Markdown, JSON, HTML, summaries, extracted links, or metadata • Preserves document structure, reading order, and tables • Extracts metadata automatically (title, description, language) • Zero data retention option (document not logged or stored) • Content filtering via includeTags and excludeTags Built for AI agent pipelines that need clean document data at scale. I've shared the link in the comments!

CNBC: Meta starts major cuts with 8,000 layoffs as AI shakes the tech giant. Along with the layoffs, around 7,000 employees will be shifted into new AI-focused roles. Meta is not only trimming costs, it is changing its internal shape around AI infrastructure, foundation models, and AI monetization, which means the company wants more people building the systems that train models, the models themselves, and the products that turn those models into revenue. --- cnbc .com/2026/05/20/meta-layoffs-zuckerberg-says-success-isnt-a-given-in-memo.html

今天和老婆在书屋看书休息，看到一本儿童网页设计的书，2016 出版，一共 12 页 很喜欢这种生动的图文信息展示方式，让孩子能很快 get 到，网页的展示是由 html, css 和 javascript 组成的，每个部分是什么作用，什么规则，形象化的让孩子能和生活中的事物对应起来理解，怎么构成一个最简单的网页。 最近孩子在开始学汉字，我也在做一个还原汉字笔画的产品，结合对汉字表达含义的文字卡、组词等，让他能理解到这个字的写法和用法，不只是记住这个字。 和这本书的表达方式也很相似，用孩子的语言，更实际的场景的解释，保留更多乐趣，不只是灌输知识。