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Meta's deal to buy Manus got blocked, so I gave Meta's Muse a Manus 2.0-style launch film instead. Left: the official Manus film. Right: Claude Opus 5.5 + Seedance 2.5 from one URL. (Unofficial concept.) Want one for your product? Reply with your URL. First 5 are free.

The latest work has been focused on what happens after a user already has exposure. Getting into a position is only one part of the experience. Managing it needs to feel just as clear. We’re refining how users can understand what they currently hold, what actions are available, and what happens when they make a change. None of this is about adding complexity for the sake of features. It’s the opposite. We want someone to open Zero Stocks, understand their position quickly, make the change they want, and move on without wondering whether they missed something. The privacy infrastructure can be complex underneath. The product itself shouldn’t feel that way.

TRON will ring the closing bell at @Cboe Global Markets' trading floor in Chicago today, September 29, to celebrate the listing of TRXS, an exchange-traded product offering staked exposure to TRX, the native token of the TRON network. The milestone reflects the TRON network's growing adoption across traditional financial markets, with TRXS giving institutions access to TRX through participating brokerages. More details @TheBlockCo 👇

I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.

爽了，AI 视频最烦的反复抽卡问题，终于被解决了！！！ 给 Fotor Agent 丢一段需求或原始素材，它直接从脚本做到可编辑的多轨成片，质量和稳定性完全是商用级！ 以前做 AI 做视频，最恶心的就是生成完以后没法改😓，数字、Logo、画面出一点问题都要重新抽卡，但它就只需要改一小段。 文字、图片、图表、数字、Logo、旁白、B-roll、滤镜、转场和音乐全部分轨： 1、画布上直接改：参数能直接选中修改，Logo 等都可以替换，连颜色和图表都能随时改。 2、时间线随便调：调整层级、拉音量、换转场，全都可以自己调。 3、支持 30+文件、10GB 素材：手机拍的素材丢进去后，他能自己抓精彩镜头、去口头语、配字幕和 B-roll。 我拿它测试了一下做一个新品上线视频。把产品图和卖点文档丢进去，它会先整理脚本和分镜，确认之后再继续生成画面、旁白、字幕，最后全部放进时间线里。这种工作流对需要频繁改稿的人真的方便很多。 而且它做 4K MG 堪称降维打击： 以前做一条 MG 动效，需要在 AE 里一帧帧抠，3-5 天起步，花几千块，改个数字、布局还得再等老久。 现在把 PDF、Excel、报告这些资料扔进去，一会就能出一版 AE 级 4K 动效，里面的数字和图表还能接着改。 我算了一下，每秒才几毛钱，30 秒的 4K 成片十几块，2 分钟也就几十块。时间从几天压到几十分钟，钱从几千压到几十，这差距太离谱了！！！ 它能落地的场景实在太多了： 1、电商上新：商品图和卖点扔进去，自动生成多尺寸广告，价格随时改。 2、SaaS 演示：录屏和功能介绍一键做成 Product Hunt 上线视频。 3、知识科普：论文、文章直接转 4K 动态信息图，做爆款科普解说。 4、数据汇报：把 Excel、CSV 做成动态增长大屏和财报解读。 5、课程培训：讲义文档直接变成整套多轨教学视频。 做产品、做电商、做自媒体或者出海的朋友，强烈建议去试一下！ 🔗：

I am technologically illiterate, but in less than 24 hours, Grok Bot has transformed my productivity & personal business outlook. I have agents that are experts / "employees" in real estate development, DTC fashion e-commerce, niche private equity, and HPC/GPU customer acquisition & deployment.

7/12｜Halo: Product Launch：虚构产品发布片 用代码做视觉鲜明的产品发布视频，白色 UI，适合发 X；允许生成音效，并要求加快画面节奏。 需要：代码动画、UI 渲染与导出；音效可用素材或生成工具。注意原 Prompt 说的是“虚构产品”，若改成真实产品，应提供真实 UI 和功能资料。 完整 Prompt： Use code to create a cool, visually striking launch video for a fictional product, with a beautiful white UI, suitable for sharing on X. Generated sound effects are welcome. Speed up the visuals so the pacing feels less slow.

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)