Nano Banana Pro — AI 图像与视频生成平台，支持精准区域编辑、照片修复、风格转换、多图融合、角色一致性保持及视频生成

u/Top-Relationship8196 · Reddit

AI teacher that explains anything visually. Hi, I built this free tool called bestie. It's basically an AI teacher that explains anythingany topic visually. Instead of watching a 3hr Youtube to learn something specific or struggle through the text Chatgpt gives you, you can use this for free to learn anything fast. you can find it at bestie.chrestic.com you just have to type the topic and your visuals will arrive in less than a minute. Don't forget to try and leave Y

@josephflaherty · X

by @golnik is the best vibe-coded software project I've seen, both in its aesthetics and the difficulty of its accomplishment. You can see the finished output of his work here:

@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

Shotyard — AI 图片与视频生成/编辑平台，一站式使用主流 AI 模型，可一次输出多个图片或视频，对生成结果的二次操作友好

@Ayush_07_10 · X

aniv — 一站式 AI 创作工具站，浏览器打开即用：AI 文生图、AI 文生视频、视频画质增强、字幕合成

tahazsh · HN

Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

@marketmaxing · X

@vkuoo · X

Added more demos showcasing graph-math relationships, built with Codex.

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

Vincentwei1021 · GitHub

video-shotcraft AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template