教育学习1 week ago
openstem — code skills that finally stick
用 flashcards、测验和 AI 辅导学习编程技能，基于记忆科学。
@mkappworks · X
I am building lets connect
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用 flashcards、测验和 AI 辅导学习编程技能，基于记忆科学。
@mkappworks · X
I am building lets connect
整理您的笔记和合集，提出问题，生成播客和学习材料。
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.
用 AI 驱动的模拟考试和闪卡学习 NEET 生物学。
@devjedi404 · X
I'm currently working on PrepPilot an AI-powered platform for NEET preparation. Added around 8k questions in total. The entire process was tiring but learnt a lot. For now you can access PrepPilot here :
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:
为1-10年级儿童设计的测验平台，提供交互式学习体验。
@lodha13 · X
Checkout below apps Hisabarabar (Play Store)
BrainBubbles 将学校主题转化为儿童友好的故事和信息图表
@hazemnassr · X
通过GPS地理围栏、数字售票和反欺诈功能验证大学出勤
@TechPriest_001 · X
上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X
AI引导的心理健身课程，含呼吸、接地和专注练习，在浏览器中使用。
@LenvanderHof · X
Building - Experimental, EMDR-inspired, AI-guided, advanced mental fitness sessions and gamified micro-courses. Let's connect!
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
NOGUI帮你追踪媒体消费，优化数字健康。
@Nogui_1 · X
A digital wellness ecosystem to make peace with our digital selves.
