教育学习3 weeks ago
openstem — code skills that finally stick
通过AI辅导、闪卡和测验学习代码技能，基于记忆科学设计。
@mkappworks · X
I am building lets connect
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通过AI辅导、闪卡和测验学习代码技能，基于记忆科学设计。
@mkappworks · X
I am building lets connect
用Schulte Table、Stroop Test等游戏提升专注力和认知速度。
Focus Game — 专注力训练小游戏集合，包含 Schulte Table、Stroop Test、Reaction Time Test 等浏览器训练工具
用 Phrasel 练习 PTE Core，获得 AI 评分和完整模拟考试。
phrasel_service · Product Hunt
Phrasel AI-powered PTE Core practice, feedback, and mock tests
向视频添加时间戳问题和投票，创建互动学习体验。
@josephnordqvist · X
个性化学习、ACT/SAT备考、作文支持和100多语言音频辅导。
@vrajshroff · X
Personalized learning for students
上传笔记生成考试题目、答案和复习资料。
@herogaming7358 · X
🚀 Finally shipped my first SaaS project! Introducing ExamPrepAI 📚 Turn your own PDF or image notes into: ✅ Important Questions ✅ Short Answers ✅ Revision Notes No fake promises. Just a smarter way to revise. 🌐 🎥 Tutorial:
管理学术会议：提交和审阅论文、处理日程安排和注册。
@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
