HomeDesign — AI 空间与家装设计工具，上传房间实拍、建筑外观或户型图，即可预览室内外装修改造效果，并生成 2D 布局、3D 效果图与 360° 全景

@zccrs · X

做了一个 Liquid Glass 3D 可视化工具 🫧 把玻璃边缘的图像形变从 2D 变成直观的 3D 几何，让你可以直接看到玻璃的形状、光线与折射，以及 radius、thickness、bezel width 等参数对最终效果的影响。 欢迎体验： 🔗

ldooo · V2EX

分享一个百万人围观的家居、色彩相关的电影截图网站 这个网站整理了几乎所有优秀家居、空间的电影截图，图片无水印高清，支持按照主流色彩分类，养眼提高审美。 适合： - 设计师 - 家居爱好者 - 电影爱好者 网站地址： https://www.yeguozi.com/ 如果觉得对你有用，欢迎留言帮顶 感谢。

@ShivamMish11788 · X

We've been helping developers and brokers turn floor plans into interactive 3D walkthroughs. Makes it much easier for buyers to visualize the space.

@kamone · X

I built (vibe coded) my own geometry engine from scratch. It keeps path as path, and does the transformation and the silhouette splitting. You can see the code here. One single html file.

@theyole_ · X

hey man, here it is: it's a tool that optimizes images for seo & geo

@songfeitong · X

Introducing Pretty Lattice, a modern-looking crystal visualization tool for creating beautiful figures. Built with Codex since 5.5, and now with 5.6 sol. A huge leap from 5.5, much better at frond end. Github: Demo:

@sichy · X

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

@zacxbt · X

my current apps: • j******** (redacted) • @irigenerative (my first nft) • non-crypto saas app • penis game • blockrunner (my endless runner iOS app posted a vid a week ago) • petwidge (per iOS app) • nftwidge (nft gallery iOS app) • (pretty charts) • @perpspet (3d gamified perps) • (gamified bridge) • crypto twitter social app (don’t want to spoil the details) • portfolio pet game where the character is your portfolio, you feed him coins and he grows/evolves • (first app i ever vibe coded in dec) • onchain jam (nba jam 2v2 game but each team is a chain ex: base team = brian + jesse) • waffle world (3d waffle platformer lol) - 3d social trenches game

u/PlasticLongjumping92 · Reddit

I built an AI quoting tool for pressure-washing contractors after seeing how many leads die waiting for an estimate Pressure-washing contractors are great at doing the work, but quoting can become a mess. A customer sends a few pictures. You ask for measurements. They stop replying. Or you drive across town just to measure a house and find out they were only price shopping. That is why I built SprayQuote . A contractor can: Upload customer job photos Identify surfaces like siding

@kurichans_1996 · X

Cylindrical gallery built with @threejs 🤖 Generated with Claude Code Opus 4.7 demo: