Education1 week ago
LearnFlux
AI-powered learning assistant with personalized paths, intelligent tutoring, and adaptive practice.
LearnFlux — AI 驱动的智能学习助手，为你生成个性化学习材料，让你以更少时间掌握更多知识。
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AI-powered learning assistant with personalized paths, intelligent tutoring, and adaptive practice.
LearnFlux — AI 驱动的智能学习助手，为你生成个性化学习材料，让你以更少时间掌握更多知识。
AI grading and plagiarism detection tool for teachers using rubrics and outcome-based education.
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.
Create study notes, predict academic performance, and generate study guides with AI assistance.
@indradevGod89 · X
AI-native operating system for startups that unifies planning, fundraising, finance, and execution workflows.
rohanrecommends · Product Hunt
Nautis The AI-native Operating System for founders.
Transform study materials into concise notes and diagrams with AI assistance.
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站
Create, host, and sell online courses with a drag-and-drop builder, video hosting, and secure payments.
learnerfast · Product Hunt
LearnerFast AI Course Creator & Website Builder for Educators
Learn math and physics through cinematic missions and interactive physics simulations.
@electricdrago10 · X
Organize notes and collections, ask questions about them, and generate podcasts and study materials.
mistakevin · HN
I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.
Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age