AI 智能体3 weeks ago
Execute AI — Amazon Seller Roadmap & AI Advisor
为 Amazon 卖家提供 AI 驱动的路线图和实时搜索建议。
@mohasani · X
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为 Amazon 卖家提供 AI 驱动的路线图和实时搜索建议。
@mohasani · X
保存并浏览你想尝试的餐厅，帮助你决定去哪里用餐。
@danielendara · X
Sure! let's connect! My latest creation is
体验弧形快门滚动页面过渡效果。
@orevbajohn_ · X
Curved shutter page transition - built with Claude code Live link :
浏览Mappit互动地图，发现AI智能体标注的全球趋势故事
@matthew_meadows · X
Introducing Earth's daily zeitgeist, on a map. Trending, corroborated stories that scope to your view. S&P 500 & Today in History. Drop pins, subscribe to locations & follow users. Chat with Marco! Every place has a story...
针对ADHD的日计划应用,带脑图倾泻、优先级和专注计时器。
@TylerPallotta1 · X
Discover your change capability across ten dimensions. See what matters, practise the next conversation and prove measured improvement.
@osrn2004 · X
Check out what I just built with Lovable!
记录每日锻炼并加入社区挑战以建立问责。
@AOuglhacen · X
Built FitHub to add daily workout accountability via community challenges & streaks 🔥 Features tracks for Cardio, HIIT, Yoga, & Strength (Beginner to Advanced). Built with Next.js, Tailwind, & Prisma. Check it out & drop your feedback! 🚀
SparkleSense Pro uses AI to optimize cleaning supply levels, prevent stockouts, and automate reordering for small and medium-sized cleaning companies. Start a 14-day free trial.
@ochoa55864 · X
RabbitHole：根据你的知识生成个性化学习指南，含测验、抽认卡和练习。
@CosmeValera · X
I just launched the beta and would love to hear your feedback! You can play around with it and create your own custom guides here: 🔗 Any RTs, replies, or feedback are hugely appreciated! 🤝 #buildinpublic #indiedev #SaaS #AIwrapper
Future Ready Desk Clock: 可定制的森林冥想桌面时钟，支持昼夜循环。
@biggilfoot · X
customizable ambient desktop clock for second monitors. You can resize the clock, move it anywhere, and switch backgrounds to fit your setup
Life vault - 在私人保险库中追踪任务、财务和目标。
@Daemon09076 · X
Check out what I just built with Lovable!
利用 Google Trends、Amazon 需求和供应商信息发现热销的代销产品。
@QuvirlX · X
Hey! 👋 I'm building Quvirl — a SaaS that helps dropshippers find winning products using Google Trends, Amazon demand, and supplier insights. Still improving it every week. Feedback is always welcome! 🔗