@smooseo · X

For the moment only in French but soon in english : - analyse GBP’s reviews

@akinkunmi · X

He trash-talked me and my amazing project ( unprovoked while all his projects are vibe-coded slop. That's why I named him King of Slop.

md2card — MD2Card 在线工具，支持多主题，一键将 Markdown 拆分并生成知识卡片，支持 AI 魔幻卡片和长文智能拆分功能，可编辑，可导出 PNG/SVG/PDF，适合笔记分享与社媒传播

masterchef2209 · HN

I created a platform to check which AI models is the best gamer

@trackowork · X

@shreyassihasane · X

PicSpeak — 基于 AI 的摄影点评 Web 应用，上传一张照片，几秒钟内即可获得对构图、光线与色彩的专业分析，同时可以向社区展示你的优秀作品。

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@adhikari_premi · X

TimeGuessr — 给你一张图片，让你猜测图片发生的时间和地点。我们把 Timeguessr 的玩法原封不动地搬了过来，只是把图库换成了另一批“假照片”——全部由 AI 生成的过去 50 年里可能发生的瞬间

@Cam_james05 · X

@sivasankar___s · X

I’m currently deep in building Rudra, a visual orchestrator for Next.js designed for full engineering control. ​Zero vendor lock-in—you own the code. ​ Website: App Build with Rudra