@gimafore · X

Market intelligence on verified revenue, see how much it takes to get ROI when you acquire a startup

@N0V4Dev · X

I found a tool called Next AI that links AI capabilities directly with diagrams. It lets you build and edit diagrams using natural language prompts instead of clicking around the canvas manually. It's a handy way to sketch out architecture when you don't want to drag every box yourself. The project is built on TypeScript with React 19 and Next.js. It supports multiple AI providers and even includes an MCP Server. This means you can use it with the Claude Code CLI to generate diagrams from your terminal. Deployment options are flexible too. You can run the tool locally with Docker or push it to Vercel and Cloudflare Workers. It supports multi provider setups so you can pick the backend that fits your workflow. #Nextjs #AI #Diagrams #TypeScript

@Ye4557286791129 · X

看来你是有经验了👍，ai算命真的得非常具体吗？我做了一个，看基础盘的，大概能看出来这个人性格

@Sparsh209 · X

Hi isha! Check it out here at: Would love to hear your feedbacks

@quantweb3 · X

最近做了一个命理占星的网站 刚做 有空提点意见和建议啊

u/muyenlee · Reddit

I built iYarrow — I Ching casting + Zi Wei Dou Shu natal charts, on an open-source divination engine Two divination tools in one app: I Ching — cast a hexagram for the actual decision in front of you. Free, no account needed. Zi Wei Dou Shu (紫微斗數) — a natal chart that gives the longer-range picture your hexagram sits inside. Free full chart, all 12 palaces computed instantly, tap any palace to read it. One $5.99 unlock covers an in-depth reading + the annual (流年) report. Stack: Next.js

yoann_debidev · Product Hunt

Laminor Personalized tarot, astrology and numerology with AI

@Chukwumaeke03 · X

Check out what I just built with Lovable!

@jainarun889 · X

Our Wikawe universe products. Check it out now... - loading

@butmatthew17 · X

just check it out completely for free

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

@TridipBiswasdip · X

Check out what I just built with Lovable!