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Tech stack
62 projects
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
Restore and enhance old photos with AI to repair damage, add color, and improve clarity
@Umitech_AU · X
AI photo restoration without the AI slop.
Mask personal data and reduce AI token costs by processing data locally before sending to Claude, ChatGPT, Gemini, or other APIs.
@AI_303030 · X
Generate YouTube Shorts videos with AI, without showing your face.
@LoyaltyNexti · X
une application qui produit des vidéo sans montrer sans tête
Analyze websites instantly for SEO, performance, accessibility, and security issues.
@proyecto_cripto · X
Write software functional specifications designed to work for both humans and AI.
@spec_tacul_ar · X
Specifications for humans and AI.
Transform text and images into AI-generated videos and images.
Zuss AI Video Generator — 一站式 AI 图片与视频生成平台，整合多种先进模型，支持文字生成图片、图片生成视频、图片编辑和多模型创作工作流。
AI Emoji Finder: Search and copy the perfect emoji for any message, with Unicode 17.0 support.
Emoji Spark — AI Emoji 搜索工具
Detect and replace text in images while preserving layout and style.
PicText - 图片文字编辑器 — AI 驱动的图片文本编辑器，检测并替换照片、截图和产品图中的文本，同时保留原始布局和字体
Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)
A visualization language designed for AI agents to create and interact with charts.
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
An AI-powered platform for solving and collaborating on math problems in a social context.
lemma1729 · HN
Hi HN, This is ProofTree, and in TLDR: it is a platform where you can chat with an AI to do math, the way you already do, with context-awareness and knows how you personally do math, connected to the fora of other live human mathematicians. So, when you are talking to an AI about a proof at 3 am, and you need a human expert looking at it, or a discussion around it, like you do on StackExchange, this is it! You need an approved email account to use it, so please write here if you would live to try it out.
