教育学习1 month ago
LearnerFast | Build, Sell & Scale Online Courses Easily
LearnerFast 让您使用拖拽编辑器创建和销售在线课程。
learnerfast · Product Hunt
LearnerFast AI Course Creator & Website Builder for Educators
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LearnerFast 让您使用拖拽编辑器创建和销售在线课程。
learnerfast · Product Hunt
LearnerFast AI Course Creator & Website Builder for Educators
用AI为任何主题生成个性化课程，含互动教学和练习。
@DevSanghav15604 · X
The Duolingo for everything. Type in a prompt and get a full, personalized course built for you.
16 spaces. Zero guarantees. Take territory. Get seen. Hold it while you can.
@gavinelliott · X
Finding that some people cared about but not enough to make it viable, maybe
Get better at writing the next piece of code. Practice for people who can follow generated code but get stuck deciding what to write next.
@CinderwayInt · X
Not sure if counts but sure why not, just launched yesterday. LFGGGG may luck ever be in everyones favor.
通过DSA模式练习和ChatGPT指导追踪校招准备进度。
@8876sahil · X
If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful
为 Claude Code 和 Cursor 预览和下载拖拽模板及编辑器主题。
@QoLCenter · X
Tired of generic templates from your vibe coding tool? ThemeHub is drag-and-drop design that works with every model.
Claim, own, and trade your piece of a shared digital grid.
@nitindotdev · X
Hey! I’m launching something called — a digital billboard for startups, builders and creators.
Turn documents into interactive courses in minutes. scibly is the first AI-native micro-learning and learning in the flow of work platform.
@chefkoch_24 · X
New way of Corporate Learning:
从任何网页中提取图片、图标、视频、字体和文档到网格中
@gaurav_jain26 · X
Built a tool which will help developers and designers to extract resources without touching inspect try out and leave feedback
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
