@ATUys82 · X

Check out what I just built with Lovable!

@maxhertan · X

I vibe coded a language learning game too!

@Riverr_Social · X

@AnwarAtuma · X

Check out what I just built with Lovable!

u/Firenze30 · Reddit

I built an AI personal assistant that turns brain dumps into tasks, contacts, and notes. No filing required My job requires me to work across multiple projects at different scopes. Recurring monthly tasks, one-time requests, long-term initiatives, operational work. Things come at me from emails, chat messages, meetings, and verbal conversations. And the worst part is getting asked about a project decision from months ago. That decision could be buried in an Outlook email, a Wo

3stacks · HN

Lector, a FOSS self-hosted language reader (with a cloud option)

@vv23_CT · X

Tell em about the app I vibe coded.

@EICWOGUP · X

Hey James, I am building that helps parents focus on their kids long term goals. Parents don’t have to be fluent on any skills to teach kids. All they have to do is choose the goal like chess, swimming, trachtenberg math, yoga etc and you get weekly list.

Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

@axiomers_dev · X

Axiomers, an affordable low code app builder. Builds apps that accommodate low network connectivity with offline first architecture. Axiomers also has role based management in place to help you assign roles to the members of your application. Check it:

@majo_puterka · X

Nerdy, browser-based pattern generator on Wolfram's cellular automata. SVG export, freehand mode, 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