StarVeil AI - 星河入梦 — 使用AI生成连续漫画的网站

@nielsenburm · X

@dhruvkumar1805 · X

allybahaei · HN

Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.

u/Which-Breadfruit-926 · Reddit

Launched an AI podcast studio that competes with NotebookLM's audio overviews, here's the positioning bet I'm making (founder here) Founder here, disclosing upfront per sub rules. Most people's mental model for "AI podcast" right now is NotebookLM's Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere. PaperVoiceLab ( https://papervoicelab.com ) is built for a different job: you give it a topic (not just a docu

@Michaela200_5 · X

@lemhamza · 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

Fableclip — AI 视频自动化工具，输入创意即可自动写脚本、生成配音与配图，并按排期自动发布到 YouTube、TikTok 等平台

@DanielSmidstrup · X

@arush_shar17296 · X

@OprosOlamiflex · X

Check out what I just built with Lovable!