Launch videos on X
Product launch videos, demos and walkthroughs shared on X (Twitter), newest first. Every entry links back to the original post, and its view count is read live from X.
126 launch videos collected in the last 7 days. Views and engagement refresh every 15 minutes.
Latest launches
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412.9K0:25holy sh*t. Official Anthropic tip for Claude Code: stop burning Opus 5.5 context on tasks Haiku 5.5 can swarm, while Sonnet 5.5 builds put the architect on call with /advisor claude --advisor opus --subagents haiku Sonnet 5.5 drives the primary session on high effort, writing diffs and running test suites Haiku 5.5 subagents swarm the repo in parallel at 340 tok/s, handling file discovery and spec docs lookup Opus 5.5 stays on call in the background as the advisor, only stepping in at three critical moments: → before a plan locks: does the implementation plan miss auth invariants or schema contracts? → when a test breaks twice: are we fixing the root cause or falling into a recursive rabbit hole? → before calling done: did the full diff introduce hidden regressions or break pre-flight rules? Opus 5.5 reviews. Sonnet 5.5 builds. Haiku 5.5 swarms Jev engineering runs the identical pattern one layer down: mechanical decisions that need no reasoning (which file to open, which tool to
—2:34📣 Coming soon to GitHub Copilot: intelligent local model routing. We are excited to announce the next step in our Project HydraFusion vision. GitHub Copilot will soon be able to automatically route tasks to a local model when it's most suitable, helping you save on AI credits. https://t.co/lvjtnBswex
765.8K0:30Haiku 5.5 is now available in the Claude Platform and Claude Code. On average, it costs around 75% less to run than Haiku 4.5. It pairs well with Opus 5.5 or Sonnet 5.5 as a subagent. Use it for high-volume, cost-sensitive tasks like summaries, compactions, or database queries. https://t.co/RB9xCWo4Db
584.7K0:58We're bringing 100 Founders into the woods for 14 days to compete for millions of $. Our goal is simple: get as many of these Founders from $0 to Revenue in just 14 days. But there's a twist: We're making it a reality show - teams will compete Squid Games x Shark Tank style for an oppty to pitch Tier 1 VCs for millions of $ at the end. We'll teach them our entire playbook we used to Build in Public to $40M ARR. And we're bringing top Entrepreneurs like GaryVee, Daymond John, Sophia Amoruso and Zach Yadegari to mentor everyone. We're here to prove one thing: Anyone, anywhere can change their life and make millions if they just have the hustle. And we're here to help them. Let's go have some fun 😈 Hope you tune in!
68.9K2:27I built an operating system where the AI agent isn’t another app. It’s part of the OS. Today, Herald OS is open source and you can install it yourself 🚀 It’s built around Hermes Agent by Nous Research. Talk or type to Hermes and it can work across your entire computer: • Open and use apps • Find, organize and work with your files • Remember what matters • Run routines and automations • Build software while you watch • Understand what’s happening on your screen • Work across the machine instead of being trapped inside a chat window And when something is about to make a change, you approve it first. 🎙️ Talk to your computer Say “Hey Hermes” and just talk. Native OS commands don’t need to burn model tokens. When you actually ask the agent to think, build or perform a task, that’s when Hermes gets involved. ⚡ Everyday superpowers • Select any part of your screen and ask Hermes about it • Pick a colour from anywhere • Read a QR code from your screen • Copy text from anywhere on
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32.2K0:25Higgsfield 推出了一个“AI 网红工作室” 你可以用它从零做一个 AI 网红 脸长什么样、什么身材、穿什么衣服，都可以自己定义 角色做好以后，还能直接套用 Motion Presets 动作预设，让这个 AI 网红跳舞、表演、展示产品，快速生成短视频 甚至还可以让这个 AI 网红去“复刻”已经验证过的爆款 UGC 广告形式 具体怎么玩？ 比如你想做护肤品 先做一个专门拍护肤内容的原创 AI 网红 然后去找 TikTok、Instagram 上传播效果很好的护肤品 UGC 广告，研究它们怎么开头、怎么展示产品、怎么讲卖点 再用 Genjutsu，把这些已经被市场验证过的广告形式，改编成你自己的 AI 网红版本。 先做几条样片，然后直接拿着作品去找护肤品牌： “这种广告，我每个月可以持续给你做一批，要不要试试？” 根据每个月的产量和合作方式，可以尝试谈 1,500～10,000 美元/月的合作。 因为对品牌来说，一条广告并不会一直有效。 他们需要不断测试新的开头、新的脚本、新的场景、新的素材。 而 AI 网红最大的价值就在这里： 同一个角色，可以持续不断地生产新的广告内容。 甚至还可以继续往前走一步。 把 AI 网红生成的视频用于直播内容，让同一个虚拟角色从“拍短视频”延伸到持续直播。 这样一来，一个 AI 网红就可以同时承担短视频、UGC 广告、产品展示和直播内容。 所以这套东西最有意思的玩法，可能并不是先想着做一个百万粉丝的 AI 网红。 先做几条真正像样的样片，然后找到第一个愿意为这些内容付钱的品牌 先赚到第一笔钱
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29K0:23EVERY AI RESPONSE IS GOING TO NEED A RECEIPT, LIKE ANY OTHER PURCHASE Frontier/1 just launched something I hadn't seen before: → Every call generates a token → Sealed to the exact model → To the machine and the operator → If anything changes, it doesn't add up A sealed receipt, not a log the provider keeps.
54.3K1:04here's how to build a game in Unreal Engine with Claude Opus 5.5... the trick is letting Opus work inside the live editor, but there's a smart way to set it up: - step 1: Unreal Engine 5 + the Third Person template, so you can walk and jump from minute one - step 2: enable Unreal MCP and AllToolsets in the editor, start the server - step 3: install Epic's plugin in Claude Code and have Opus read the project before it changes anything - step 4: one prompt builds a playable base level: a valley, a dirt path, a town at the end, 3 glowing collectibles - step 5: test the whole route with the default mannequin before any custom art - step 6: bring in a rigged character on the UE5 Mannequin skeleton, Opus swaps it in and wires walk, run and jump - step 7: import your forest and town assets, Opus places them along the route - step 8: refine in small batches: vegetation, lighting, a minimap, the town entrance and the rule that saves the project... a successful tool call doesn't mean the lev
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147.2K0:15Introducing BlitzClean ! A free, open-source RAM monitor + disk cleaner for Mac I built it based on 3 things: - I kept running out of storage - I never knew what was eating my RAM - Memory Clean 2 stopped working for me on the macOS 27 beta (Golden Gate) What it does: - CPU, RAM and free disk in the menu bar - Ranks apps + AI agents (Claude Code, Codex, Cursor) by RAM, so you can pause or quit the ones you forgot about - Finds what fills your disk - Cleans caches, node_modules, simulators, Docker and old worktrees (you review everything first) MIT, runs 100% locally https://t.co/SLkJ2z5Ut5 Made the video with Opus 5.5 medium, what do you think ?
21.6K0:02I fixed something that was really bothering me in @raycast where deleting a hotkey from Root Search looked flickery, quickly flashing a few states in a row whilst the action panel closed. Much more solid now! Will be out in this week's release. Before/After screen recordings: https://t.co/MBsLUlFGXl
491.6K18:00El ingeniero que creó Claude Code acaba de publicar un vídeo de 28 minutos sobre cómo escribir prompts que funcionan de verdad. He visto cursos de 300$ que no cubren ni lo que él enseña en los primeros 10 minutos. ( El resto del vídeo está en los comentarios. ) Archivos CLAUDE.md, atajos de memoria, sesiones en paralelo, técnicas de prompting… Todo en un solo vídeo, y totalmente gratis. Da igual si eres developer, si estás empezando o si llevas meses usando Claude: te puede servir muchísimo. De esos hilos que te arrepentirás de no haber guardado. 🔖
67.2K0:24I'm sharing with you one of the best papers I've read on Harness Engineering it takes apart Claude Code (Opus 5.5), Codex, Gemini CLI and more, and boils all of them down to one line: agent = model + harness what you walk away with: > what a harness actually is > how today's coding agents are built under the hood > the patterns every one of them repeats > where the whole category is heading > their checklist for building your own the model gets the headlines. the harness decides whether the agent works loop and graph engineering on top of it - in my article below
27.2K0:52用 AI 现在能修改你电脑上的任何游戏。 有人把 Claude 改《泰拉瑞亚》和《帝国时代》学到的东西打包成了一个开源项目，叫 universal-modder，MIT 协议。Claude Code、Codex、Cursor、Copilot、Gemini CLI 都能挂——只要它读 AGENTS.md。 干的是完整一条链：找到游戏、判断引擎、读真实代码、写 mod、用 fal 生成美术和 3D 和音效、装回游戏里实测、再剪一支演示视频。做完把它学到的东西写下来，留给下一个 agent。 这个"留给下一个 agent"才是最不一样的地方。 仓库里有个 knowledge 目录，是 AI 写给 AI 的野战笔记。每款游戏记五件事：哪些版本能跑通、走的什么路线、为什么走这条、引擎真实行为是什么、怎么验证的，再加一份坑的清单（症状到原因到怎么修）。 还有个 12 个引擎的 playbook： Unity、虚幻、.NET/XNA（泰拉瑞亚、星露谷、蔚蓝）、Godot、Source 1/2、Bethesda、我的世界、帝国时代 2 的 Genie、RE 引擎和 FromSoft 那一批、原生 C++，加上独立引擎那边一整排 GameMaker、RPG Maker、Ren'Py、Paradox、Doom、HTML5、LÖVE、Java，还有复古反编译。 逆向用 ILSpy、Cpp2IL、Vineflower、Ghidra，还能把 IDA 和 Cheat Engine 通过 MCP 接进来。它给自己定了条硬规矩：逆向出一个文件格式，必须用一次往返测试证明读得对，不然不算完。 作者在另一条推里把话说得更狠——我们正在回到"真正属于个人的可修改软件"的时代，授权和知识产权在这套新玩法里活不下来。那条也拿了 5 万曝光，评论区吵成一团。 它自己划的线我反而觉得比那些炫技的 demo 有意思：只碰你自己拥有的游戏；拒绝注入带反作弊的线上游戏；拒绝写针对其他玩家的作弊；拒绝绕过反作弊、DRM 和所有权校验；从不夹带游戏文件或反编译代码，mod 只以代码、你自己的素材、补丁或转换器发出去；动你存档之前先备份。 你会拿它改什么？ https://t.co/kjWWoyyieT
41.1K0:24我去！这是一个潜力很大AI视频商业闭环项目啊。当别人还在用数字人带货的时候，你已经用Higgsfield AI influencer... 1、创建一个AI网红角色（不一定是你的数字人，也可以是动物、奇异生物...） 2、找到某个产品领域中最具病毒传播力的 UGC 广告，然后用Genjutsu去复刻爆款。 3、然后把做出来的样品视频展示给品牌方，每月收取稳定的内容生产费用（视频号、抖音和小红书都有大量带货需求） 这个市场目前最大的差异性就在于，别人都是真人、数字人。你只要换一个别的IP，然后做出爆款，申请IP版权，你就拥有了真正意义上“AI网红”，可以通过卖视频、授权IP，源源不断获取收益。美滋滋啊！
428.8K0:40I've been working on a skill that makes better HTML plans in Claude Code. It uses simple language, shows code snippets, surfaces questions & makes mockups. Linting reduces the normal failure cases that Claude runs into. Would love your feedback before shipping more broadly! https://t.co/U2Gb1K37vl
36.1K0:24this is the list nobody wants you to bookmark. 10 GitHub projects where AI agents actually make you money not another framework zoo. client work, content, leads, voice, trading. -> n8n · AI workflow automation you sell to clients on retainer. the agency backbone -> https://t.co/BBZfRhkSaO -> Dify · ship chatbots, RAG apps and agent workflows for businesses without a dev team -> https://t.co/yzg8eMkSol -> Firecrawl · any website -> clean structured data. scraping gigs, lead lists, datasets -> https://t.co/vnKNOKPbS2 -> browser-use · agents that click through the browser for you. sell the automation, not the hours -> https://t.co/aff20DFcJu -> TradingAgents · multi-agent trading firm in a repo: analysts, researchers, risk desk (research only - not an atm) -> https://t.co/wGJ1ROMRvm -> screenshot-to-code · screenshot -> clean HTML / Tailwind / React. landing pages in minutes -> https://t.co/neD3z2puLK -> Marketing Skills · CRO, copywriting, SEO and growth skills for Claude Code.
58.6K0:30学习研究了下 amontlabs/lcu 这个项目，它把 Codex 的 Computer Use（让 AI 看屏幕、点鼠标、敲键盘来操作电脑的能力）单独拆了出来，让 Claude Code、Codex CLI、Pi 等其他 AI Agent 工具也能调用。 我本来还以为它是模仿 Codex 实现了一套，原来是直接用的 Codex 的 Computer Use，在本机找到已安装的 ChatGPT 桌面版，启动其中 OpenAI 自带的 Computer Use 运行时，再通过 MCP 接到你用的 Agent 工具里。仓库文档写明，指令、执行和权限策略都以 OpenAI 原版运行时为准。 因此电脑上必须装有官方 ChatGPT 桌面版，但不需要登录 ChatGPT 或 Codex 账号。 它给模型的工具很少。常见的电脑操控方案会把截图、点击、输入、滚动各做成一个工具，LCU 只给两个：js 和 js_reset。 js 用来执行一段 JavaScript 代码，运行环境里预置了一个名为 cua 的对象。模型通过写代码来操作电脑：先调用 cua.getState() 拿到当前桌面状态和使用说明，再用 getApp 选定某个窗口，然后调用 click、typeText、pressKey、getScreenshot 等方法。点击、输入、读取结果可以写在同一段代码里，一次调用完成。 这个 JavaScript 环境会保留状态，上一次调用里定义的变量，下一次还能接着用；环境出问题时调用 js_reset 清空重来。除了截图，模型还能读取窗口的无障碍信息（操作系统提供给读屏软件的界面元素列表），按元素点击，不必完全依赖屏幕坐标。 js 加 cua 对象这套接口是 OpenAI 原版的设计，LCU 原样转发。仓库记录显示，在 macOS 上对比测试时，模型收到的初始化说明和首次调用返回的使用指南，与官方 Codex 收到的内容逐字节一致。 目前正式适配的 Agent 工具是 Pi、Codex CLI 和 Claude Code，Oh My Pi 和 Hermes 为实验性支持。系统支持 Apple Silicon 芯片的 macOS（需授予辅助功能和屏幕录制权限），以及使用 X11 桌面的 Linux（ARM64 和 x86-64）。Windows 11 尚在候选阶段
5.2M18:00L’ingénieur qui a construit Claude Code vient de publier une vidéo de 28 minutes sur la façon d’écrire des prompts qui fonctionnent vraiment. J’ai vu des formations à 300 $ qui n’abordent même pas ce qu’il montre dans les 10 premières minutes. ( La suite de la vidéo est dans les commentaires. ) Fichiers CLAUDE.md, raccourcis mémoire, sessions parallèles, techniques de prompting… Tout dans une seule vidéo, et entièrement gratuitement. Que tu sois développeur, débutant ou que tu utilises Claude depuis des mois, ça peut vraiment t’être utile. Le genre de thread que tu vas regretter de ne pas avoir mis en signet. 🔖
10.1K2:13We've raised $42M in Series B funding led by @scalevp, with participation from @NEA, @20vcFund, and others, bringing our total funding to $65M. Namespace is already powering software development for SpaceXAI, Ramp, ElevenLabs, Factory, ClassPass, Wispr Flow, Bilt, Framer, Zed, Verkada, fal, Buildkite, Vanta, Sierra, Warp, DuckDB, Effect, Mapbox, and more than 1,000 of the world's most ambitious companies. Learn more about how we got here.
49.9K0:24this might be the most useful AI agent paper of 2026, and it's certified f*cking gold Wavestone AI Lab took apart Claude Code, Codex and 9 more agents every good one runs on the same 7-part harness agent = model + harness all 11 use the same 7 parts. only the size changes the 7 parts: > loop - from a plain while loop to fully replayable runs > LLM layer - one prompt template up to 29 provider profiles > tools - bash only up to 43 typed tools on demand > memory - full history up to notes kept across sessions > safety - a step limit up to rules + reviewer model + sandbox > orchestration - Aider skips sub-agents, others fork them > extensions - SKILL.md in 9 of 11, MCP in 8 it ends with a 90-line harness covering all 7 the cleanest starting point for your own agent the pages worth your time: > p.4 - the 7-part map > p.12 - 3 loop types, Claude Code and Codex as examples > p.53 - why nobody uses frameworks or embeddings > p.67 - 18 design rules > p.71 - the 90-line harness to copy
17.1K2:24刚刷到 Alexandr Wang 晒出的这张 Muse 产品清单，说实话最近一年我们在科技圈也看了无数的大厂产品发布，真是由衷地感到震撼，这回应该是能刺穿了很多人对Meta或者超级大厂做事效率的固有偏见， 不愧是在YC创业的天才少年，我觉得Alex也应该是把当年在 YC 创业时那股野蛮生长的草莽狠劲，直接原封不动地搬进了Meta这种臃肿大厂内部。 很多朋友可能只看到了一长串好玩的清单： 从 Muse 核心本体、Mac 桌面客户端、电话语音通话、各种生态连接器， 到面向小企业的企业版、刚刚开源的 ESP32 硬件设备，甚至连社区迷因梗都赫然在列， 最后还极其松弛地向全网征集：我们接下来还应该搓个什么出来？ 如果把时间轴拉回来看，我们会发现一个极其恐怖的事实： 这一整套横跨移动端、桌面端、电话通信、开放连接器与开源硬件的完整生态矩阵， 是他加入 Meta 掌舵 Muse 后，在短短几周之内像加特林机枪一样密集扫射出来的。 在绝大多数人的印象里，像 Meta 这种万亿市值的超级巨头， 想立项一个新产品，要过层层审批、写无数页 PPT、等法务合规反复拉扯，一个小功能推半年是家常便饭。 但你看 Alexandr Wang 带团队的打法，完全就像把当年在 YC 创业时那股野蛮生长的草莽狠劲，直接原封不动地搬进了大厂内部。 他不搞那些假大空的宏大发布会，也不端大厂高管的架子， 想到电话语音有用，立刻上线通话测试版， 看到大家需要连接本地电脑，火速端出 Mac 独立端和连接器平台， 发现极客们想玩实体硬件，顺手把 ESP32 固件和树莓派 SDK 全盘开源，还自己倒贴钱做了 5000 个硬件免费送。 这种小步快跑、极高频交付、每周甚至每天都在疯狂上线的敏捷姿态， 在整个科技行业天天喊架构升级、却几个月憋不出一个好用功能的氛围里，简直就是一场降维打击。 这其实给所有做产品、写代码或者自己折腾项目的兄弟提了个极其硬核的醒： 大模型时代的竞争，从来不看你的公司规模有多大、预算有多厚； 谁能把决策链条压缩到极致、谁能带着真正的极客乐趣在泥潭里高频出货，谁才能在用户的真实反馈里跑出最快的迭代飞轮。 当最聪明的天才比你更有钱，而且每天交付产品的速度还比你快十倍的时候， 除了把气势拉满、甩开膀子动手干，我们真没有什么借口再停在原地犹豫了。 看完了这一长串清单，如果让你
7,8100:10I watched a VeeFriends character dodge lasers on my phone last night... Built by someone who has never written a line of code. @RemixGG_ is running a two-week VeeFriends Game Jam with a $5K prize pool. Creators take VeeFriends NFT characters, prompt the AI platform, and ship playable games. Entries run on the Remix iOS app, Telegram, Farcaster, Base App, and World App. The brand brings the IP. The crowd brings the games. The platforms bring the players. 800+ games hosted, 500K+ players, 18M+ plays so far. Naavik Digest reports agentic AI fuelled a 77% surge in mobile game releases this year... with commercial success rates staying flat. Part of me thinks every jam floods the feed with noise. The other part watches 18M plays and wonders who is counting. YGG just launched https://t.co/B1VWXuhUTk, a discovery layer for vibe-coded games. The category is heating up fast. @RemixGG_ Still not clear on what cut Creator Monetization takes. This is not a game store. It is a game jam that
66.9K0:32I don't understand why everyone isn't doing this yet. Anthropic's own Claude Code docs show how to run a whole team of Claudes, while Opus 5.5 only touches the plan and the merge the whole idea: agent teams in Claude Code one lead, separate teammates in their own context windows, one shared task list, and they message each other directly the lead: Opus 5.5 on high, splits the work, writes the tasks, merges at the end the builders: Sonnet 5.5, one owns client/, one owns api/, never the same file the adversary: Fable 5.1, never writes code, only shows up at three points: → before an interface locks: do both sides agree on the contract? → when a test fails twice: is it fixed or just hidden? → before a task is marked done: what breaks it? Sonnet 5.5 builds. Fable 5.1 attacks. Opus 5.5 merges Jev engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to Jev in under half a second, and the team only argues about the ones
97.8K0:36This dinosaur doesn't exist 35 seconds. 5 moves. 8.3M views... Toddler cartoons like this are the quiet monster of YouTube – a breakdown of the format did 1.86M views here Here's exactly how this one was made: 1. The song. One prompt to Lyria 3 Pro with my own lyrics - 35 seconds, vocals and ukulele. The first take skipped "Three!" in a counting song. Whisper caught it, take 3 sang every line 2. The mascot. 4 concepts, picked Dino. Nano Banana Pro in Higgsfield put him in one playroom for every line: hello, jump, clap, spin, touch your toes, bye-bye 3. The singing. I cut the song piece by piece and gave each piece to Seedance 2.5 as an audio reference. He opens his mouth on every word and dances in the gaps 4. The edit is code. Claude Code wrote it in HyperFrames: every word lights up when it's sung, a star hops from word to word, giant numbers pop and fly into a 5-slot counting board. The outro counts the board back: one, two, three, four, five Then every scene is an ad slot:
70.3K0:40yesterday i showed claude code using codex's computer use, today i got some more fucking fire for you claude can also drive codex's official chrome extension, and it controls chromium browsers beautifully all in the background, without the "allow" popup chrome devtools mcp throws at you every time a new agent connects it even handles more than one browser: each install of the extension gets its own instance id, so claude knows which is which i have helium as my main and chrome for work, and claude code now uses both first, install the chrome plugin in the codex app and add openai's chatgpt extension to your chromium browser (or all of them, if you have a few) then give this to your claude: "Set up Codex's Chrome extension for you on my Mac. I've installed the Chrome plugin in the Codex app and the extension. Use Codex's computer use MCP server as user MCP "codex-cu": keep it if it's already registered, otherwise copy the "cua_repl" entry from ~/.codex/plugins/cache/openai-bundle
55K12:32🚨 أنت مش محتاج تبني شركة ضخمة عشان تعمل عشرات الآلاف من الدولارات شهريًا. واحد بيستخدم Claude Code + YouTube وبيحقق حوالي $98,000 شهريًا. 🤯 والأغرب ؟هو مش بس بيعرض النتيجة… شرح الـworkflow كامل خطوة بخطوة في أقل من 15 دقيقة. 👀 لو بتستخدم Claude Code أو مهتم بالـAI، الـ15 دقيقة دول ممكن يغيروا طريقة تفكيرك في صناعة المحتوى والربح منه. 🔖 Bookmark الفيديو وشوفه قبل ما يضيع منك. https://t.co/vpI3VskRBB
37.3K0:11Claude Code es un lío. Hasta que instalas esto. Hay un plugin oficial de Anthropic llamado claude-code-setup. Te dice qué automatizaciones puedes montar (hooks, skills, MCP servers, subagentes…) y cómo configurarlas paso a paso. Básicamente analiza tu proyecto y te recomienda qué activar. Para instalarlo: /plugin install claude-code-setup@claude-plugins-official Guarda este post para no perderlo 🔖
52.2K0:35METÍ 300$. LOS CONVERTÍ EN 14.000$. Y NO PROGRAMÉ NI UNA LÍNEA. cogí un repo de GitHub open source, le dediqué dos horas en Claude Code para limpiarlo, y le di a ejecutar pensando que iba a fundir la cuenta en una hora. se llama 5min-btc-Polymarket. opera mercados btc de 5 minutos en Polymarket entra cuando quedan ~2 minutos para el cierre confirma que btc ya se ha movido 70-100$ en el intervalo opera siempre a favor del momentum, nunca en contra 300$ → 14.000$. sin tocar el código. → nunca predice el futuro, lee uno que ya pasó → compra esa posición entre 0,80$ y 0,99$ → se liquida a 1$ minutos después → cubre solo si el mercado se desequilibra a 95/5 como comprar un boleto de lotería después de que ya hayan cantado los números. os dejo el repo abajo.
676.4K1:16CLAUDE CODE AHORA PUEDE CLONAR LA INTERFAZ DE CASI CUALQUIER SITIO WEB EN MINUTOS existe una plantilla open source que analiza cualquier web y la convierte en un codebase limpio de next.js Le das la URL y tu agente analiza: → interfaz y componentes → colores y tipografía → espaciado → activos como imágenes e iconos Después reconstruye cada sección por su cuenta, con agentes trabajando en paralelo. Funciona con Claude Code, Codex, Cursor, Gemini, Copilot y más de 10 agentes de programación. Más de 35k estrellas en GitHub, licencia MIT y gratis. Resultado: lo que antes eran días de maquetar una interfaz ahora son minutos. Esto cambia el juego para quien quiere migrar una web vieja, recuperar código perdido o aprender cómo está hecha una gran interfaz. Repo en comentarios 👇
43.6K0:31这次真被 Opus 5.5 震到了，瘫坐在椅子上那种 🤯 最近在 vibe coding 一个 proxy 管理面板，做了几套主题，缺个点阵字体，就顺手让 Opus 5.5 设计一个。 结果它很快交出来一款可变点阵字体，还给自己起了名字叫 PUNCTUM。字重 100–900，圆度 0–100，一共 108 个字形，把圆度从 100 拉到 0，圆点会一点点变成方像素。 它还顺带做了一个很专业的字体样例页，把这个字体放进各种老设备的场景里：电梯的 LED 楼层灯、卡座的 VFD 屏、热敏小票、掌机 LCD、火车站发车牌。 我又跟它来回调了几轮，现在的效果放以前，我觉得得是很厉害的字体工作室才做得出来。视频是它做的字体发布样片。 字体还在继续完善，之后会连同整个制作过程一起开源到 GitHub，有兴趣的可以先关注一下。
2M27:52el ingeniero que construyó Claude Code acaba de publicar un video de 28 minutos sobre cómo escribir prompts que realmente funcionan he visto cursos de 300$ que no cubren lo que él muestra en los primeros 10 minutos archivos CLAUDE.md, atajos de memoria, sesiones paralelas, patrones de prompting todo en un video y completamente gratis funciona seas desarrollador, principiante o alguien que lleva meses usando Claude
32.3K0:44几年前，我为了学英语但又不失去乐趣，选择了看英文小说。这个方法来自 B 站 UP 主 @罗肖尼Shawney 。原本以为自己能像看国内网文一样沉迷进去，但实际查单词的痛苦依然历历在目，而且适合自己难度的英文小说本来就很难找。举个例子，英语里一个单词在不同语境、不同年代意思完全不一样，有些俚语因为时代认知偏差，经常会出现“单词都认识，拼在一起却完全读不懂”的情况。 为了解决这个问题，去年的第一个版本是接入 AI，点击单词实时查询。但测试下来体验非常糟糕，熟悉我的朋友可能看到过当时我发的推文，后来也就没正式发布。 不过这一次不一样了。前几天我突然灵光一闪：既然实时查询太慢，为什么不对文章进行通篇预读，让 AI 自动打标、自动解释，直接做成一本配套词典放上去呢？这样就彻底避开了实时查询慢、体验差的问题。 正好今年买了不少 100 美元的 Grok heavy，送了推特蓝V、Cursor 200 plan，还有 Grok bot，算力 Token 根本用不完。我直接在 Bot 上建了 5 个 Agent 拉了个群，把所有 epub 传上去让他们自己分配任务。5 个 AI 老师多线程自动干活，耗时 3 天，烧了一个 Bot 的周限制，项目的第一版终于完成了！ 等我把敏感数据抹掉、处理好版权问题后，就会正式开源。 网站 https://t.co/HnjN4ZFnDF
25.7K0:22CLAUDE CODE CAN NOW TURN HIGGSFIELD INTO A ONE-PERSON AI VIDEO STUDIO. install this 19 skills, connect Claude Code to Higgsfield, then tell Claude what you want to create. run /ugc-hot-girl and let it create the character, generate the visuals, and produce the Seedance video for you. Claude controls Higgsfield through Playwright. you just review the output and make changes when needed. this is useful if you want to make UGC ads for brands without spending hours doing everything manually. you could even turn the workflow into a service and sell the finished content. if you’re building toward the solo creator income path, save this. repo below 👇
48.2K0:41不知道吧，你的 AI Agent 现在能从几乎任何网站扒数据了！ 🕷🔥 X、YouTube、Reddit、各种没 API 的论坛……研究、分析、监控要用的，基本全覆盖。 GitHub 上刚放出 3 个开源工具，直接给 Agent 装上这个超能力： 1️⃣. Agent-Reach 把 X、YouTube、Reddit、GitHub、B站、小红书整合到一处，一个 CLI，零 API 费用。 🔗 https://t.co/iwYLdY7FVN 2️⃣. Patchright Enhanced 用 Playwright 监听没有 API 的网站请求，脚本直接提取数据。 🔗 https://t.co/JTkpzK7hfI 3️⃣. Scrapling 通用网页抓取，任何网站都能啃。 🔗 https://t.co/p2aU69RvyZ 用法就一句话：你告诉它要什么数据 → 它写代码 → 抓回来 → 给你结果。 真实例子： · "收集过去一个月 100 个 X 账号的帖子，告诉我哪些话题最火" · "把 Reddit 和 YouTube 上这个产品的评论扒下来，总结主要槽点" 说白了，你的 Agent 从此能从互联网几乎任何角落提数据。这种自动化程度，搁不久前还不敢想。 #开源工具 #爬虫
229.3K1:14但身价百亿、前 Scale AI 创始人兼现任 Meta 首席 AI 官的 Alexandr真的是个天才，曝光了千亿软件帝国 Palantir 最隐秘的增长武器。 他在视频里极其冷峻地撕开了商业世界最残酷的一层窗户纸： 在真实的企业级市场里，更好的产品依然会输得一败涂地，因为客户脑子里的认知，往往比冰冷的客观现实还要真实。 他爆出了一个千亿巨头 Palantir 隐藏多年的核心秘密。 Palantir 之所以能把全美最挑剔的军方、政府和巨头企业吃得死死的， 是因为他们从骨子里就没把自己当成一家纯粹的软件公司， 而是把自己定义成了一家剧团加软件公司的混合体。 甚至在很长一段时间里，Palantir 会给每一个刚入职的新员工直接发一本专业的演员表演指南。 他们教工程师和销售的不是去死背技术参数， 而是如何像舞台上的顶级演员一样去塑造气场、传递坚不可摧的信念，以及如何在走进会议室的第一秒就彻底接管客户的大脑。 这段话之所以让我印象深刻，是因为它彻底刺穿了技术人最容易陷入的自嗨陷阱。 大企业和政企客户的决策者，绝大多数根本不会亲自钻进你的服务器里去查单元测试和代码架构。 他们面对的是巨大的采购风险和自身的前途绑定， 他们买的从来不只是软件那几行代码，而是一整套安全感、掌控感和不可动摇的信任光环。 如果你空有一身好技术，却根本不懂得如何重塑客户的认知， 你在谈判桌上就会被那些气场强大的对手降维打击。 对方带着顶级的叙事和强大的气场走进来，在客户脑子里种下了我们才是上帝礼物的认知， 而你抱着几张性能对比表格坐在角落，连说话都在结巴， 那一刻，你的技术再好，在商业战场上也只是毫无意义的纸面数据。 Alexandr 也极其清醒地补了一刀： 这不是教你去搞虚假宣传和诈骗，交付真实的产品价值是你的底线， 但认知塑造，是你在做出好产品之后必须修炼的黑魔法。 做出一流的产品只是拿到了进场的门票， 而学会如何把你的价值装进别人的大脑，才是决定你能否在商业牌桌上赢走一切的胜负手。 大家在平时做项目、谈业务或者职场汇报时，有没有吃过技术明明比别人好却输给了别人会包装的亏？ https://t.co/HROd8JgpdK
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72.4K9:58Anthropic engineer: "90% of our engineers were already running self-improving loops Now everyone is moving toward agentic graphs" "Prompting is basically finished" In just 10 minutes, she builds her complete Claude Code setup live from an empty terminal Agents → Loops → Graphs → Self-Improving Systems Prompting was the old workflow Graph engineering is the next one This 10-minute breakdown is worth more than most $1,000 agent engineering courses Watch it today Then save the full guide below before everyone catches on ↓
224.2K0:15Absolutely recommend using Cache Control in Claude Code Probably one of the Mods that will save you the most tokens and help keep your sessions going much longer It adds this bar for Claude’s 5 minute cache and sends notifications to help keep the cache warm Install command: npx claude-code-templates@latest --mod observability/prompt-cache-control
321.9K0:24I don't understand why everyone isn't doing this yet. Anthropic released a guide for Claude that makes work much more efficient while burning a fraction of the tokens Main Idea: Agent Teams in Claude Code Instead of burning the expensive Opus 5.5 context on every line of code, tasks are delegated across an autonomous swarm: Architect (Opus 5.5, high effort): Plans the structure and handles final PR merges Developers (Sonnet 5.5, medium effort): Write code inside isolated git worktree environments (UI/UX, backend) Adversary / Critic (Fable 5.1): Steps in at contract boundaries, recurring test failures, and pre-PR audits to catch vulnerabilities Script Layer (Jev): Handles mechanical tasks (opening files, CLI invocations) in 16ms without involving LLMs Launch the team via terminal: claude --teammates ux,backend,adversary Configure my Claude Code workspace for autonomous agent teams: In ~/.claude/teams, generate missing roles: set workers to Sonnet (medium effort) in se
4,7550:51You're probably sleeping on computer use. At Every, we’re handing agents chores that once required opening an app and clicking through a series of steps. Computer use lets AI click, type, and navigate those apps for you. Here are 17 ways our team is using it: 1. Fill out school forms. 2. Update six course presentations with new screenshots, assets, and hundreds of small edits. 3. Make video edits. 4. Check every link in a book’s PDF proofs, verify that each destination matches the surrounding text, and collect problems in a spreadsheet. 5. Find an old maintenance request and submit a follow-up about a missing dishwasher. 6. Add kids’ school and camp events to a calendar. 7. Browse iPhone photos, identify items to sell, and create marketplace listings. 8. Clear WhatsApp storage through iPhone Mirroring. 9. Export images from Figma and attach them to posts in Typefully. 10. Manage app builds. 11. Assemble, rig, and repair characters in Blender. 12. Talk to Verizon support about a bett
341.3K0:40Your AI isn't bad at design. It has just never seen good design. I've tested 100+ vibe coding resources this year. These are the 40 I actually kept, grouped by what you're stuck on. Bookmark this 🔖 1. 👑 https://t.co/RlChWqggj8 Why it's different from everything below: - Every one is a complete prompt, not a snippet you wire up yourself - 3 steps: copy the prompt, paste it into your AI, launch it live - 300+ award-winning prompts, all in one place - Full source code to download and edit - Works with Claude Code, Cursor or v0 Built for founders and freelancers who want award-level sites without a design team or a week of tweaking. If you only open one link in this post, make it this one. 2. https://t.co/zii2nKAKiq - design systems as markdown your agent can read 3. https://t.co/mHD5eSDPKY - ready-made prompts for dashboards and landing pages 4. https://t.co/iRLY9tbhpW - curated high-end sites 5. https://t.co/hOf1AxeaT7 - real UI inspiration mapped to prompts 6. https://t.co/bhB2Gf
9,1430:30国庆在家做了个实验：把我做视频时常用的那部分流程拆出来，写成一个简单的视频编辑器。 它只跑在 Mac 上，程序本体压缩后约 2 MB。 这个体积夸张到什么程度，你拿着索尼 A7M4 给三上老师拍一张照片也得 70MB 的大小，接近 35 倍，苹果上最好用的视频剪辑软件 Final Cut Pro 4GB 左右，接近两千多倍的大小。而 FCPX 对我来说，并不比这个 2MB 的软件更好用。 麻雀虽小但五脏俱全, 2D、3D、常用特效、MCP 协议都支持, 甚至支持用 js 来写视频（你并不需要一个 chrome）。顺手移植了前几天风靡的 PDoom 视频。 以渲染 @_mexicat 的 PDoom 为例，我的 M2 Max 64GB的机器上测渲染 4K 60fps，带视频/音频/合成音效 + 各种炫酷的动效，4 个 worker 跑差不多153 帧每秒。（PS: 还有一些特性没有移植过来，但第一版的速度相当吓人） 做完这个实验有个感受：AI 在很长一段时间内恐怕依然取代不了专业程序员，但很多领域专家可能不再需要那么专业、那么通用的软件。 非 AI 时代，专业软件为了照顾所有人的需求，功能做得很全，学习门槛也就跟着上去了，而用户学完才能从这个通用且复杂的软件中总结出适合自己工作流。做视频时 打开 FCPX + Apple Motion , 经常因为这玩意要跳来跳去点点戳戳而学的很疲惫, 而每次剪辑都要做很多 setup，从做内容的角度上说，这部分就纯脏活累活。 我做的是 visual explain 类的视频，核心只有一件事：把问题讲清楚。再适当加一点真人讲解，让视频更值得被信任。这条流程里真正用得上的功能，只是那些大软件里很小的一部分。掌握 AE/FCPX 并不是我的目的，他只是服务于我内容的一个环节。 工具和限制决定了你能表达什么。现在可以反过来：先想清楚自己要表达什么，再让 AI 帮你造一个刚好够用的工具。 刚好够用就是这个时代的 AI 开发底色。 顶级的专业程序员暂时依然稀缺，但"专业而通用"的软件，可能不再是每个人的必选项。 欢迎来到新时代！
16.7K0:28🚨 خبر مفرح للمهندسين: توليد المجسمات والتصاميم ثلاثية الأبعاد (3D/CAD) بالنص فقط أصبح متاحاً رسمياً ومحلياً! 📐💥 🔴 تم إطلاق إضافة text-to-cad بشكل رسمي لمنصة Codex، لتتحول الأفكار البرمجية والهندسية إلى مجسمات ثلاثية الأبعاد قابلة للتصنيع بضغطة زر! • أهم المميزات والقدرات: دعم استخراج الصيغ الهندسيّة القياسية مثل (STEP, STL, 3MF, GLB). تحسين التصاميم لتناسب الطباعة ثلاثية الأبعاد (3D Printing)، الشيت ميتال (Sheet Metal)، مخرجات الـ CNC، والقوالب (Injection Moulding). ربط فوري وسلس مع خدمات وتطبيقات مثل Bambu و SendCutSend لتصنيع مجسمك مباشرة! 💡 الميزة الأهم: مجانية ومفتوحة المصدر 100%، وتعمل محلياً بالكامل داخل تطبيق Codex Desktop بدون الاعتماد على سيرفرات سحابية خارجية! • طريقة التثبيت السريعة بـ Codex CLI: codex plugin marketplace add earthtojake/text-to-cad codex plugin add text-to-cad@earthtojake (أغلق تطبيق Codex وأعد فتحه لتكتمل الإضافة) ضع التغريدة في المحفوظات لتجربتها في مشروعك الهندسي أو الطباعي القادم 📌👇 https://t.co/4PUwQmYrVt
57.7K0:06リサーチ時間90％短縮しますw Claude Codeが、𝕏・YouTube・Reddit・公式の入口がないサイトまで、ほぼどこからでもデータを持ってこれるようになりました。 GitHubに出たばかりの、誰でも無料で使えるツール3つがその超能力をAIに与えます。 1. Agent-Reach 𝕏・YouTube・Reddit・GitHubを1か所にまとめて読める 2. Patchright Enhanced Playwrightで公式の入口がないサイトの通信を拾って、スクリプトでデータだけ抜き出す 3. Scrapling どんなページにも使える万能の収集ツール やることは、欲しいデータを伝えるだけ。 ↓ AIがコードを書く ↓ 勝手に集めてくる ↓ 結果が返ってくる 実際に頼める例はこれ。 「𝕏の100アカウントの先月分の投稿を集めて、伸びてるテーマを教えて」 「この商品のRedditとYouTubeのレビューを集めて、不満をまとめて」 調べ物を任せられる自分の分身が、 寝てる間も手放しで動いてくれる状態です。 これまで人が何時間もかけて見て回ってたものが、頼むだけで終わる時代になりました。 なんちゃってリサーチで時間が溶けてる人、いますよね？w 各ツールのURLはリプに貼ってます。
64K0:24一块 2 美元的开发板，刷成了 DNS 广告拦截器，并且开源了。 ESP32-C3 Super Mini，400KB 内存、4MB 闪存、自带 WiFi，加一个 USB 转接头和一个 3D 打印外壳。 不要订阅。 不要浏览器扩展。 不要独立电源。 插在路由器的 USB 口取电，WiFi 连上，设成你家的 DNS 服务器。列表里的广告和追踪域名，在这一层全部拦掉。 为了压住内存，域名用 40 位哈希存。带一个网页面板，能看到拦了什么，也能自己加域名。 作者 ZedAxis，东西叫 ESP32-C3 AdBlock。 补一个原作者没展开说的点： 这种 DNS 拦截，和你手机上装拦截 App，不是一回事。 手机端只对那一台设备生效，换个 App 或者走 DoH 就漏了。 DNS 层是全家一起生效——手机、平板、电视、孩子的设备，还有那些根本装不了东西的智能家电。 代价是它拦不了加密流量里的广告。比如 YouTube 的贴片广告，那是同一个域名下混在正文流里的，DNS 层看不见。 但网站上的横幅、跳转、追踪脚本，基本都挡得住。 2 美元，插上就不管了。 https://t.co/ED0nofDm3y
62.2K27:52Claude Code 工程师刚刚放出了一个 28 分钟的实操视频 毫无保留的教你如何真正榨取 Claude 300% 的生产力： 从基础的如何配置完美的 CLAUDE.md、到持久化上下文记忆、多线程并行会话，以及那些没人告诉你的高阶 Prompt 逻辑。 我花大价钱买过的那些课，干货密度可能连他头 10 分钟的一半都达不到。 而且最爽的是：全免费。 不管你是刚学编程，还是像我一样整天在终端里切 Tmux 疯狂写全栈项目… 看完这个，你会用一种全新的上帝视角去管理你的 AI 编码工作流。 强烈建议码住。 以后你每次重构项目架构的时候，都会回来翻看无数遍。 https://t.co/7kR8rzCAmL
103.9K2:19Every day i'm blown away at what i can do in an hour with frontier models like Opus 5.5. I didn't know what to do with an old iPhone, so I built Bluey, w/ Opus 5.5. It's powered by GPT Realtime 2 (i think... whatever Opus decided to use). Bluey is an iOS app + mac app that is made to be a computer companion. It can point, comment, and even control my entire computer. github repo below
58.5K0:25【事件】 Claude Codeが作業している間だけ、同じくClaude待ちの人たちとDoomで対戦できるプラグインが海外で大バズ😳 https://t.co/hiEEi4lKT3 名前はーーintermission。作ったのはJarrod Wattsで、GitHubで無料公開中 これ、何がヤバいかというと👇 ・Claudeが2秒以上動き出すと、横にDoomの画面が開く ・対戦相手は全員、自分のClaudeの作業待ちをしている人 ・Claudeが終わると3秒カウントして作業画面に戻される ・許可の確認が来たらすぐ戻され、答えるとまた試合へ つまり ❌ Claudeの作業待ちはスマホを眺めて終わっていた ⭕ intermissionで待ち時間がそのまま対戦の時間になる 「Claude Codeが動いてる間、みんな何してる？」 → 同じく待ってる人とDoomで撃ち合ってた
103.4K0:21JUST IN: @shiftrobotics just launched AI-powered robotic walking shoes that let you move at running speeds. Moonwalkers Dusk strap over your shoes and add power to each step based on how you move. -Walk up to 7 mph without breaking into a run -AI adapts to your stride within about 10 steps -Detects walking running jumping and changes in slope -Foot gestures switch modes without your phone -Shock-absorbing wheels smooth cracks and uneven pavement -Nearly 40% lighter than the first generation Priced at $1,199.
43K0:32Official Anthropic tip for Claude Code: stop burning Opus 5.5 on work Sonnet 5.5 can do, while Fable 5.1 sits idle hand the grunt work to Sonnet 5.5 subagents and put Fable 5.1 on call run /advisor fable Opus 5.5 plans and merges Sonnet 5.5 subagents read, edit and run the tests Fable 5.1 reads the full session and only speaks up at three points: → before a plan: is this the right approach? → when the same error comes back: am I digging in the wrong place? → before "done": what did I miss? Sonnet 5.5 builds. Fable 5.1 reviews. Opus 5.5 ships Jev engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to Jev in under half a second, and the big models only see the ones that split - the full tree > Opus 5.5 on high runs the main session > explorer reads the code on Sonnet 5.5 > worker edits and runs tests on Sonnet 5.5 > researcher pulls the docs on Sonnet 5.5 > all three on medium > Fable 5.1 on call for main and every
42.9K0:27Un tipo japonés descubrió el verdadero apalancamiento de Claude Code antes que nadie. Él simplemente instaló “Find Skills”, describe lo que quiere lograr y el sistema le propone las habilidades perfectas. ¿El resultado? Su sistema automatizado de YouTube que está teniendo éxito gracias a eso. https://t.co/0yGXNSU5qi
2,6060:20jev can't write a single word. so people put it to work reading everything you scroll past your X feed. twitch chat. youtube comments. telegram groups quick test: what does it cost jev to read 1,000 posts? reply with your guess (no googling), then tap "show more" the answer is sitting right under it answer: under 4 cents not each. all 1,000 one builder's own counter: 600 posts labelled, $0.023 that price is why people are wiring it into everything that asks one tiny question all day 9 repos, all built in the last 2.5 weeks: YOUR FEED -> decides what you see 01 sift · tags every X post: substance, humor, promo, junk + an AI-written % > https://t.co/NkZmuKpZa0 02 jev-slop-guard · scores every post on X and LinkedIn, blurs the slop and stamps it SLOP > https://t.co/JQUUhzLhq4 03 PlotVeil · hides youtube comments that spoil the plot. reads them against the video, no keyword list > https://t.co/kuOPoywCVg YOUR CHATS -> kills the noise 04 jev-chat-for-twitch · a second chat column
96.8K0:38Project Suncatcher has liftoff! ☀️🚀 Announced last year, this moonshot project explores if we can one day host machine learning infrastructure in space. After years of research, we’ve just launched a prototype satellite, built in partnership with @planet, into orbit on @SpaceX's Transporter-18 rideshare mission. This initial mission will gather data on how @Google TPUs handle the physical stress and extremes of spaceflight. Ultimately, these findings will help us explore how to potentially link multiple satellite constellations for scaled machine learning. By operating in low Earth orbit, these systems can tap into near-constant sunlight to generate up to 8x more solar power than on Earth.
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245.6K0:20This is f*cking insane. This tip saved me thousands of dollars. run Opus 5.5, Sonnet 5.5, and Fable 5.1 together, and stop burning Opus on work it was never needed for. the whole idea in one line: the strong model plans, the mid-tier model executes, Fable stays quiet until it's actually needed. roles, broken down: Opus 5.5, high effort, owns the plan and ships the final code Sonnet 5.5, medium effort, splits into explorer (reads the codebase), worker (edits files, runs tests), researcher (pulls docs) Fable 5.1, called through /advisor fable, reads everything happening in the session but stays silent unless something's actually wrong three moments where Fable speaks: → a plan goes out: is this actually the right call? → the same failure shows up again: is the search going nowhere? → the task gets marked finished: did something get skipped? Jev engineering does the same thing one level down. the forks that don't need real thought, which file, which tool, keep going or stop, go
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35.1K0:05今天终于把拖了很久的事情，放到一天给做了，我把 Mole 从开售到9月底所有没有激活的用户全部发送了一封邮件，这个过程挺有感触，顺便又做了一个有趣小魔法功能。 用 AI 写了一个简单的本地脚本把用户邮箱、Key 给列了，然后一封一封根据月份、国家语言把 license key 重新发了出去，不是促销邮件，也不是催促激活，更多就是发一个微信一样告诉用户不要忘记了。 有意思的是，陆陆续续收到了非常多各个国家用户的回信，比我预想的要有意义很多。 有用户说买来就是想支持你的开发，自己更喜欢用 terminal 版本；还有人完全忘记了 GUI，一直在使用 CLI； 也有用户非常用心，买了两个，一个给自己，一个给家人，打算当圣诞节礼物，没有没有激活，已经存到了自己的密码管理器，让我这个世界真美好。 也有用户最开始公司的电脑可以用，但是由于对未在公司范围的软件进行的禁止使用，他一直在等他自己的新 Mac，等新 Mac 到了他就可以用了；也有用户是在我打折的时候买的，现在还没有 MacBook，等自己新机到手就立马去激活。 不过其中有一些用户其实是邮箱填写错了,可能是打太快了，把邮箱写成了 gmai、con、cloud 这一类 ，也没有找我；也有用户是第一封邮件没有收到，想着更快使用又继续买了一遍。 虽然这里没有收到激活码的用户占总用户比例非常小，也有不少在每日的答疑邮件中帮忙解决了，可能对于不少做 App 售卖的公司而言，会认为收到钱以后这段关系就结束了，不过对于Mole而言，我感觉才刚刚开始，后续和用户持续共建可以做非常多有趣的事情。 用户买到软件以后，也不一定会里面用，并不是我们开发者自己想的「看到->买->立马用」，其实也有是随手买一个，key 进来收件箱，想到了再去用，或者付钱但没有收到 key，这里好比有一段购买到真正使用的空白在开发者和用户之间的，有不少用户会主动往前一步找开发者问我的key呢，但是也有部分用户没有迈出这一步，对于这种情况，开发者应该多迈出去。 做产品的人，特别是工程师出身的，非常用于在产品功能上较劲，疯狂开发功能，很容易忽视从购买流程数据去看用户的真实使用，真实体验，以及围绕非产品功能的体验去做优化，这也是和用户交流的一个非常好的场景和渠道，真实的交流很重要，也会让你对自己做的产品更有成就感。 程序员天然会喜欢做可扩展的事情，任何
28.9K0:15📝 Google Maps APIに頼りがちだった「場所検索」に、かなり面白い選択肢が出てきた GISエンジニアの大橋直樹さんが、日本全国の施設を検索できる「OpenPOI API」を無料公開 これがなかなかすごい！ ・日本全国 約337万件 ・APIキー不要、登録不要 ・無料、商用利用OK ・検索結果を自分のDBに保存できる ・「すたーば」→「スターバックス」のような表記ゆれにも対応 ・MCP対応でClaudeなどのAIから直接検索できる POIというのは、ざっくり言えば「店や施設などの場所データ」 Overture Maps 約249万件と、食品営業許可・届出データ 約88万件を統合していて、例えばClaude CodeにMCPでつなげれば、 「東京駅から300m以内のラーメン屋を探して」 みたいな依頼から、施設名、住所、緯度経度までAIが直接取ってこれる これ、非エンジニア目線でもかなり可能性がある 営業リストのたたき台を作る、地域のお店マップを作る、自社サイトに店舗検索を付ける、AIエージェントに「近くの店を探す」能力を持たせる こういうものを作る時に「場所データをどうする？」という面倒な部分を一気にショートカットできる もちろんGoogle Mapsの完全代替ではなく、口コミ、写真、営業時間、ルート案内などはなく、カテゴリ不明の施設もまだ多い でも「オープンデータ × MCP × AI」という組み合わせはかなり面白い こういうAIが自由に扱える“公共データの道具化”は、これから一気に増えていきそう https://t.co/wETI6EYqYX
138.1K1:01卧槽！给 TradingView 做付费指标的那家 LuxAlgo，把自家图表引擎开源了 Vela，495 Stars，Apache-2.0 开源，也是 LuxAlgo 自己在用的金融图表引擎。 以前做行情前端，要么买 TradingView 授权（贵、数据还受限），要么自己造图表轮子（难、bug 一堆）。 这个不一样，LuxAlgo 直接开源整套图表引擎，不是 TradingView 的壳，是自带 WebGL2 渲染器的 headless 核心，数据层 / 脚本引擎 / 渲染层全是插件化接口。 核心能力： 1️⃣ WebGL2 金融图表：实时 K 线高性能渲染，Canvas2D 自动兜底 2️⃣ 70+ 技术指标：MA、RSI、MACD、VWAP、SuperTrend、Volume Profile 都有 3️⃣ 22 种画图工具：趋势线、斐波那契、Pitchfork、波浪、Long / Short Position 直接用 4️⃣ 多图 Workspace：多图布局、Crosshair 同步、周期切换、对象树都做好了 5️⃣ 实时行情接入：Binance、Coinbase、Hyperliquid 开箱即用，也能换自己的数据源 6️⃣ 支持 Pine Script：配合 PineTS，可以把原来的 Pine 指标直接跑进 Vela 我觉得它真正有意思的地方，不是“能画 K 线”。 而是你拿到了一套可以继续长成自己交易终端的骨架。 行情、指标、策略、AI Agent、Broker，后面都能继续往上接。 想自己做 TradingView 风格量化终端、Crypto Dashboard 或 AI Trading 工作台的，这个很值得留着。 仓库：https://t.co/Tcep7szgpe
46.7K0:13Your CLAUDE. md is making Opus 5.5 DUMBER. Stuff like “double-check your work” and “think step by step” was advice for yesterday’s models. On Opus 5.5, it’s drag slower responses, weaker output. Lance Martin over at Anthropic just pushed the remedy. Open Claude Code and run: /claude-api prompt-audit It sweeps your skills, CLAUDE. md, and prompts. Strips the deadweight phrases that kneecap the model. Then rewrites what’s left using the official Opus 5.5 guidance. Takes five minutes. Do it tonight. Save this now, or you’ll swear you were going to later.
9,9990:20there is no motion video on the internet that opus 5.5 can’t recreate. EVERY single frame of the video on the right is ALL code. I’m giving away the ENTIRE prompt + guide. steal it and thank me later ↓ <inputs> Ask me for: my product name, a logo (or draw a simple mark), my brand colours (or pull them from the logo), five app names for a Mac dock, the name of my chat app, the line a user types into its composer, a 7-word headline about the problem, two "Zero ___" words, two "Every ___." lines, the closing line, and a music track. If I skip any, use these defaults: product "Frame by Frame" (an AI motion-video course); a viewfinder mark (four corner brackets around a bold "FF" and a four-point sparkle top-right) in a navy rounded-square badge; dock apps Murmur (coral chat), Loupe (amber camera), Folio (paper notes), Cache (teal files), Stacks (sky boards); composer line "make a launch video for my app"; headline "Your launch video takes too many weeks."; "Zero keyframes" → "Zero time
5,8500:33THIS IS FREAKING WILD! free gold for anyone who use AI agents or assistants ex OpenAI engineering leaked 5 repos to build your own fully free GPT dots dots are always-on AI agents with their own cloud computer, connected to 4,000+ apps. here is a list of repos to run your own dots: 1. open-dots: a self-hosted agent workspace. Personas, connectors, web search and optional computer use. Every risky action waits for your approval 2. dots (feder-cr): an agent with its own browser. A patched Firefox engine that sites can't easily tell apart from a person. Works with any model, and Claude Code and Codex can use the same browser over MCP 3. open-dot: the closest clone, as a Mac app. A browser that stays logged in, 1,500+ apps, voice calls, schedules, and dots that pass work to each other. Bring your own OpenAI key or run Kimi, DeepSeek or Qwen 4. Comma: a 24/7 agent that splits your goal into tasks and keeps going until it's done. It can hand pieces to Codex and Claude Code
47.2K0:40I've tested 100+ vibe coding resources this year. These are the 25 I actually kept, grouped by what you're stuck on. Bookmark this 🔖 1. https://t.co/RlChWqggj8 (mine) - 200+ complete build prompts for 3D, scroll-driven and cinematic websites. - Each one is a full design brief, not a component you drop in. - Copy the prompt, paste it into Claude Code or Cursor, and you get a whole animated site in minutes, not a blank page and a lot of guessing. - Built for founders and freelancers who want award-level sites without a design team 2. https://t.co/zii2nKAKiq - design systems as markdown your agent can read 3. https://t.co/mHD5eSDPKY - ready-made prompts for dashboards and landing pages 4. https://t.co/iRLY9tbhpW - curated high-end sites 5. https://t.co/hOf1AxeaT7 - real UI inspiration mapped to prompts 6. https://t.co/bhB2GfGIix - 2,000+ real product styles with typography 7. https://t.co/ZNFmqbqGsp - 2,600+ examples of how top design systems solve the same element 8. https://t.co
38.5K1:07不愧是前英雄联盟冠军🏆教练，这个老哥真的太聪明了，简直就是一场教科书级别的个人转型与认知重构。喵的给我看破防了😭 不管你是00后还是30多岁中登，这个一定要看！ 他会告诉你怎么从一个传统行业的顶尖位置，毫无包袱地跨进硅谷 AI 与机器人网络， 这个前英雄联盟 5 冠教练 SeeEl 爆火全网的 67 秒自白，我觉得可以给所有面临 30 岁转型危机的人上了一堂残酷的商业课， 视频里堆着行李箱和简易麦克风，他说自己 30 岁了，没有存款，没有退路，净资产为负，要彻底告别拿过 5 次冠军的电竞生涯，搬去旧金山从零开始。 绝大多数人把它当成了一碗孤注一掷的励志鸡汤， 但真正看完他过去三周的所有底层动作，你会发现这根本不是一时冲动的掀桌子，而是一场教科书级别的个人转型与认知重构。 很多想转行、想做个人项目的人，一到 30 岁就容易陷入同一种恐慌， 觉得在原来的赛道熬不出头，换个新方向又觉得起步即落后，每天在巨大的年龄焦虑里内耗。 Christopher 当年也是从顶级竞技赛场走出来的，但这次他彻底剥开了从零开始的四个底层真相。 最关键的一步，是他把自尊驱动和热情驱动彻底分开了。 很多人在老赛道死撑，不是因为还热爱，而是不甘心，是想证明给别人看；他把这两者分得极度干净，当发现自己差点回归只是为了挽回受伤的自尊时，他当场踩了刹车，因为在窗口期极短的行业里，为错误的动机买单代价太高了。 然后是认清从零开始从来不是真的资产归零。 他敢搬去旧金山重新起步，归零的是电竞教练的舒适圈身份和个人现金流，但没归零的是他名下已经拿到约百万美元融资的电竞训练公司、在拉美市场积累的几十万铁粉，以及一张进入硅谷 AI 机器人公司做 GTM 的入场券；投资人的钱是公司的，自己的口袋确实空了，这叫重置现金流，不叫赤手空拳。 真正让我觉得有意思的是他选赛道的具体锚点。 他没有跟风去搞那些宏大空泛的 AI 概念，而是切入老年护理机器人，把原点落在他和祖母的真实情感上，用一个确定会老龄化的未来，去倒推今天该往哪个产业网络里扎。 更耐人寻味的是他对公开表达的约束，在网上摊开行李箱、承认自己负净资产，确实能迅速换来上万条收藏；但他从第一天就清楚，脆弱必须跟后续交付绑定在一起，如果接下来几个月拿不出产品、岗位和实际收入的进展，最初的勇气很快就会沦为透支信任的表演。 30 岁重来的勇气是
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70.6K27:57BREAKING NEWS! The engineer who built Claude Code from scratch just released a 28-minute video that's pure gold: how to write prompts that deliver ridiculously good results. I've seen $300 courses that don't even come close to what he explains in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns that almost no one uses... All in one single video. Completely free. No fluff. Whether you're a developer, just starting, or have already been using Claude for months, this changes the game for you starting today. Save. Watch. Share. https://t.co/0PdoWJfTSr
29.8K4:00Claude Code built roughly 95% of this procedural pixel creature engine from a single detailed prompt. No premade sprites. No AI-generated textures. Just Godot, C#, and code generating body plans, rigs, animations, mutations, and pixel art across 9 creature families. The prompt wasn’t a vibe. It was an engineering spec. Check the repo in the comments.
7,3460:20companies are still paying $5k-$15k for launch videos like this. opus 5.5 made mines for $0. same references. same product. a few prompts + one skill doing the direction, motion, critique + rendering. this is getting too ridiculous. prompt below ↓ <inputs> Ask me for: my product name, a logo (or draw a simple mark), my brand colours (or pull them from the logo), five app names for a Mac dock, the name of my chat app, the line a user types into its composer, a 7-word headline about the problem, two "Zero ___" words, two "Every ___." lines, the closing line, and a music track. If I skip any, use these defaults: product "Frame by Frame" (an AI motion-video course); a viewfinder mark (four corner brackets around a bold "FF" and a four-point sparkle top-right) in a navy rounded-square badge; dock apps Murmur (coral chat), Loupe (amber camera), Folio (paper notes), Cache (teal files), Stacks (sky boards); composer line "make a launch video for my app"; headline "Your launch video takes
172.9K0:25Official Anthropic tip for Claude Code: stop burning Opus 5.5 context on tasks Sonnet 5.5 can swarm, while Fable 5.1 sits idle spin up an autonomous team with /teams claude --teammates ux,backend,adversary Opus 5.5 acts as the lead architect, scoping architecture and validating pull requests Sonnet 5.5 teammates take isolated git worktrees and hammer out implementations at medium effort Fable 5.1 monitors the peer-to-peer bus as a dedicated adversary, only stepping in at three critical moments: → before a contract locks: does the frontend payload match the backend schema? → when a test breaks twice: are we patching the bug or just hiding the symptom? → before calling done: what attack surface or edge case did everyone overlook? Sonnet 5.5 builds. Fable 5.1 challenges. Opus 5.5 merges and ships Jev engineering runs the identical pattern one layer down: mechanical decisions that need no reasoning (which file to open, which tool to invoke, retry or abort) execute in 16ms, so the fro
66.3K26:36مهندس من Anthropic كشف عن طريقة لتشغيل أكثر من 100 وكيل Claude Code يعملون كفريق واحد، بإدارة وكيل رئيسي يتولى التخطيط والتنفيذ. وفي ورشة مدتها 30 دقيقة، شرح كيف تستفيد من Claude Code بأقصى إمكانياته وأقل تكلفة. محتوى يستاهل وقتك إذا تبي تحوّل الذكاء الاصطناعي من مجرد أداة إلى فريق عمل متكامل. https://t.co/y7nSxOE88g
485.3K54:12The interview with @thsottiaux from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next Op
4.4M1:12You can now mod Claude Code: - Change how it behaves - Customize the UI - Swap in your own features Write one with a few lines of TypeScript, or have Claude build it for you. Mods ship inside plugins, so you install them with /plugin in the CLI or desktop app. A few examples: https://t.co/qMtzV8AeId
91.4K0:22I don't understand why everyone isn't using this yet this will make your Claude boost productivity by 300% Anthropic engineer Lance Martin revealed a skill for Opus 5.5 Open Claude Code and type: /claude-api prompt-audit > Audits your skills, CLAUDE.md and prompts > Removes everything that slows down the model > Rewrites using the official Opus 5.5 guide Your prompts are written for older models This can be fixed in 3 minutes Bookmark this
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89.6K1:14IF YOU’RE A FINANCIAL ANALYST, THIS IS WORTH PAYING ATTENTION TO These guys just launched Filot Autopilot, a finance tool that can basically keep your financial models updated for you as companies report earnings. So your laptop could be closed, earnings could drop, and the system can still pull the new filings, transcripts and numbers, update the model in the background, and have it ready for you to review. And I think that’s really the interesting part here. A lot of an analyst’s time during earnings season is still spent doing pretty repetitive work, updating numbers, checking models, making sure everything ties out. If tools like this can handle more of that reliably, it probably means analysts can spend more time on the higher-value part of the job: actually understanding what changed, what matters, and what the market might be missing. https://t.co/G3OCZDWO5d
98.4K0:071/ Excited to release The ultimate guide to multi-harness RL The same model behaves differently in every agent harness. So we built an open way to train any model with RL on any task set, inside the harnesses people actually use, like Claude Code, Codex, and OpenCode, without changing a single line of harness or training code. Trained across four harnesses, LFM2.5-2.6B went from 42% to 54% with 31% fewer tool calls. 🧵
About launch videos on X
This directory collects the videos founders and product teams post when they ship: launch films, first-look demos and feature walkthroughs. Each entry keeps the original post text, the author, the poster frame and the live view count, and links to the post on X rather than re-hosting the video. It is part of X Analytics, which ranks trending posts and creator growth across tracked niches — the research layer for x analytics and x growth.
Videos are read from public X posts through the same collectors that feed the leaderboards, and we never fabricate entries. X Analytics is independent and not affiliated with X Corp.