VisioArt — 一站式 AI 图片和视频创作平台

@shahzaibdocupo · X

Check out what I just built with Lovable!

@atbigthumb · 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

@Aymane_B_ · X

@yumbedinho20962 · X

Check out what I just built with Lovable!

u/raidenblackout · Reddit

I spent 6 months building my AI platform and 0 days marketing it. Trying to fix that now So I've been building Nodal ( https://app.asknodal.com ) for about 3 months now. Basically it's a Pinterest-like app for AI-generated images. And the neat part is you top up one credit balance and can use it to generate from multiple platforms like Nano Banana, ByteDance, Flux, etc. So for the last 3 months I have been working on feature after feature, refactoring, trashing some features, and then build

@MaryellenBelay · X

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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

victords · HN

I was interested in learning more about reverse image search, so I built audioguide.london. It’s a simple image search where you take a photo of an artwork in a gallery, tries to ID it and returns a pre-generated audio and a link to the museum website. The audios were all generated locally, essentially looking at the contents of the website, running it through a LLM to generate a script and Kokoro for TTS. I’ve built it as an app for myself almost a year ago, so I deployed it as a vibe coded web

@Userfree · X

我以前是搞用户体验的，我也做了一个自己的用的语言学习工具 AI 帮自己编程，就我以前是搞用户体验的，我也做了一个自己得用的工具。我感觉有了 AI 帮自己编程就很爽了，再也不用求程序员、求设计师了，哈哈

colin_peterson · Product Hunt

Corroba - Free, accurate citation Cite AI, Verify Links, How To Cite