Education3 hours ago
Atlas of Living Curves
Explore interactive visualizations of mathematical curves, fractals, symmetry, and topology.
@vkuoo · X
Added more demos showcasing graph-math relationships, built with Codex.
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22 projects
Explore interactive visualizations of mathematical curves, fractals, symmetry, and topology.
@vkuoo · X
Added more demos showcasing graph-math relationships, built with Codex.
Play nested Tetris where each pixel is another complete Tetris game.
farcaster · HN
On this page there are two complete recreations of the original Gameboy Tetris game based on the commented assembly code. On the top level there is a C version that compiles to WASM but on every pixel of that version there is a GLSL shader also implementing the complete original code with a AI player making virtual inputs! Everything was planned by me and coded by Claude Fable. Brazilian tileset generated by Gemini so I'm not technically using any copyrighted assets. Link to repo: https://github.com/ThiagoLira/Fractetris/tree/main
Design cellular automata patterns, animate them, and export as SVG.
@majo_puterka · X
Nerdy, browser-based pattern generator on Wolfram's cellular automata. SVG export, freehand mode, free.
Batch edit images in your browser with tool chaining, compression, and format conversion.
BulkPicTools — 免费浏览器端图片批量处理工具，支持**工具链串联**（压缩→转格式→裁剪一次完成，无需重复上传），本地 AI 去背景/人脸模糊（WebGPU，无需 API Key），支持 200+ 张图片批量处理，文件不上传服务器。
Create interactive games, polls, and quizzes with AI for presentations and events.
u/molefrog · Reddit
create multiplayer apps that you can play with friends or share with coworkers. Like Slido/Kahoot but you can create your own one with AI. It can build polls, quizzes or games. had this idea for a while, the space isn't new and there is apps like Kahoot that presenters or educators use for polling/quizzes. however the templates are limited, so I decided to ship my own vibe-coding IDE for generating these. you just describe it for example "noise meter: people scream at their phon
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
AI-powered fashion marketplace with designer storefronts and AI body measurement features.
@TeamVazzel · X
Vazzel is an AI-powered fashion & lifestyle marketplace where designers and vendors launch virtual storefronts, while shoppers enjoy AI body measurements and secure payments. Live with 500+ users and scaling
Connect Gmail accounts to automate email sending and track opens and clicks.
@KenziChenBuilds · X
Hey! Developer behind Always looking for feedback to make it better.
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
Deploy autonomous agents to run tasks for $8 a month with a simple interface.
u/liltechnomancer · Reddit
I forked Pi and tried to make it accessible to normies. I love all the open source coding agent harnesses. Pi chief among them. But I was bummed I couldn't really get my non-technical friends on them. They also would not be eager to drop a bunch of money on a mac mini to host an OpenClaw instance. This made me feel there may be a gap in the market. This made me wonder if people would like a web app based agent that could update itself. If you want to build a custom media pipeline for
See how AI systems interpret, rank, and represent your brand.
@RealSamuelAudu · X
Analyze cryptocurrency markets with Chan Theory patterns, K-line charts, and anomaly detection.
@onehopeA9 · X
用 DAPPOS @dappOS_com 做了一个加密货币缠论分析网站，也是我一直想做没时间做的！ 来看看缠论三买的威力： 不是不会写代码。 我自己是程序员，真要硬写当然能写。 但问题是：没时间。🤡 做交易的人都懂，真正消耗人的不是“看一根 K 线”，而是把一堆信息拼起来： K 线结构。 缠论笔、中枢。 一买二买三买。 一卖二卖三卖。 资金费率。 持仓量变化。 成交量异动。 市场舆情。 这些模块涉及太多方面，写得出来，但太费时间。 所以我一直想做一个自己的交易雷达： 接币安历史数据。 用 TradingView 展示 K 线。 自动画缠论结构。 标注买卖点。 再把资金费率、持仓量、成交量和币安广场热度放进去。 想法很清楚。 但一直躺在 TODO 里。 最近用 xbubble 的 Coding 功能试了一下，直接把需求丢进去： “做一个加密货币缠论分析网站，接入币安一年历史数据，用 TradingView 展示 K 线，自动画笔、中枢、一买二买三买、一卖二卖三卖，增加异动分析和币安广场舆情热度。” 它真给我生成了一个能跑的原型。 这次最戳我的不是“AI 会写代码”。 而是 xBubble 把最消耗时间的工程杂活压短了。 以前我自己做： ❌ 搭项目结构 ❌ 爬数据源和图表库 ❌ 写 K 线处理 ❌ 写缠论结构识别 ❌ 做前端交互 ❌ 部署、改样式、修细节 一圈下来，核心想法还没验证，人先累了。 现在变成： ✅ 先描述业务目标 ✅ 让 xBubble 生成可运行原型 ✅ 我再校验规则、调整逻辑、优化体验 ✅ 把时间花在交易理解和产品迭代上 这对程序员其实很有价值。 因为程序员最缺的不是能力，而是时间和注意力。 我这个原型现在大概有几块： 第一，TradingView K 线主图。 用币安数据展示行情，再叠加缠论结构。 第二，笔和中枢。 把原本需要手动盯的结构，先自动画出来。 第三，买卖点雷达。 一买、二买、三买，一卖、二卖、三卖，先帮我筛可能的位置。 第四，异动面板。 资金费率、持仓量、成交量变化，和 K 线结构一起看。 第五，舆情热度。 把币安广场讨论热度也拉进来，看看市场情绪是不是和盘面互相印证。 你可以理解成： 我不是让 AI 替我交易。 我是让 AI 帮我做一个交易前的信息雷达。 我觉得 xBubble 和普通 AI