AI Products & Indie Growth · Launch videos on X
Product videos, demos and walkthroughs shared on X in this niche, newest first, each linking back to the original post with its live view count.
12 launch videos in AI Products & Indie Growth over the last 30 days.
Launch videos
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!
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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
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.
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
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.
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.
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
About AI Products & Indie Growth launch videos
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