@KolhyP92244 · X

@lanford87746071 · X

上线了一个小工具：羊咩像素 WoollyPix 🐑 在线拼图 / 九宫格切图 / AI 智能分割 / 截图美化 全程本地处理，不上传图片，免费无广告

@aarsh_30 · X

u/LeonHelloWorld · Reddit

Build update: testing whether visual AI maps are actually clearer than chat This week I finished a public beta of BranchAI, a web app that turns a complex question into a visual tree instead of a single long AI conversation. The hypothesis is simple: people lose useful context once a chat has several follow-ups. Keeping those follow-ups visible as branches should make research and complicated topics easier to revisit. What is working now: - Generate a starting map from a question - Op

u/CogniKing · Reddit

Play Parry — a 2-minute daily puzzle about catching AI's mistakes: spot the planted flaw, catch the answer that's lying to you I have been recently fascinated with puzzles as a way to help improve my BS-radar when using AI. I designed Parry to help with this - One puzzle a day - find the one flaw hidden in a confident paragraph, pick which of two AI answers actually helps you (one is subtly useless), call a claim true/false. Free, no account, nothing you input leaves your devi

@WachangaWinston · X

An algebra crisis at home became TeachMap: teacher-reviewed AI feedback and misconception maps from handwritten work. Built with Codex + GPT-5.6 Sol for OpenAI Build Week.

u/peterparkermarker · Reddit

MathIQ I built mathiq.io with Claude Code because I wanted a way for students struggling with college level maths to see how the problems can be broken down and not as intimidating. Each walkthrough goes from beginning to end and each step has a "why and how?" feature. Anon users get 1 free daily walkthrough powered by Haiku 4.5. Signed in users get 3 free daily walkthroughts powered by Haiku 4.5. Plus users get 5 Opus 4.6 walkthroughs plus 20 Sonnet 4.6. Pro users get 8 Opus/30

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

@OBSIDYNAI · X

Check out what I just built with Lovable!

u/tokmako · Reddit

I am developing an alternative work environment to Claude Design. When I first tried Claude Design, I really liked the idea. But after generating a design, I kept wanting a more direct way to continue working on it not as a separate design representation, but as a live, working interface. That’s what I’m building with VisualWizard. The canvas contains real, interactive prototypes. You can select elements directly, move or resize them, change styles, and keep interactions and

@ErnestPresident · X

I know how to code Sun Yi so I vibe coded a multi layers math pipeline + multi layer verifier pipeline that do advanced calculus, I must do something wrong then.

@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.