@SyedHuz61085101 · X

Please visit to see my work. Thank you.

@IbehOmodolor · 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

@Akinzoooo · X

GPT Image 2 AI — AI 图像与视频创作平台

sanabano · Product Hunt

GPTOne Free AI detector for ChatGPT, Claude, Gemini & more

@mattcabral_ · X

looking for honest feedback from devs

u/person-person12 · Reddit

The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

@nirajp27 · X

its my first vibe coding exp.. go try it tell me!!

@marcellafjacob · X

@Profiteer_Site · X

@itsalexvacca