
One draft. Your whole team in it at once | Postey.ai
Write social posts together in one document, comment in place, and share a draft by link without giving up a seat. Postey reshapes the result for nine networks against each one’s r
@posteyai · X
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Write social posts together in one document, comment in place, and share a draft by link without giving up a seat. Postey reshapes the result for nine networks against each one’s r
@posteyai · X

记录并分享你的构建过程日志。
@builderbook_io · X
Share Raw unfiltered behind-the-scenes moments to the world!


为教师生成课程计划、演示文稿、工作表和测验的AI工具。
u/Dismal_Mistake_6832 · Reddit
150+ sign-ups in the past 30 days, feels amazing as an early stage startup, but... We are a start-up in EdTech, very difficult market, but we were able to start getting some traction through Facebook groups and had 150+ sign-ups in the past 10 days! Currently we are in talks with pilots in 5+ schools, with a limited number of teachers, hopefully we can get at least 1 or 2 schools interested into a further collaboration with us. What we offer is interest-based and personalise

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

探索按学习先决条件组织的Manthan概念卡片,无需登录。
mohith-sarma · HN
Manthan a MCP server to store Concept cards with prerequisite links


印度学生和创作者学习AI、讨论AI工具及参加问答挑战的社区平台。
@oneshopai · X
Building OneShopAI — A community where Indian students, builders, and creators grow with AI together. We're running a live AI Quiz Challenge next week with a ₹3,000 cash prize, so if that sounds like your thing, come hang out. Would love your feedback 👉

上传行程预订,与朋友一起规划自由时间和行程安排。
@Janivcohen · X
keeps all your travel plans, bookings, and emergency info in one clean space. ✈️ 👉

支持Markdown的协作LaTeX编辑器,提供实时编辑和参考文献管理。
danielszabo · HN
Online editor with LaTeX, Markdown, LaTeX+Markdown Hybrid and WYSIWYG (MD only) support, AI assistant with resource lookup and anti-hallucination features, live collaboration and more fun things. Still in quite early beta. First institutional deployment scheduled in the autumn. Feel free to play around.

在加密工作区中与 Claude Code 和 Cursor 等 AI 代理共享文件和日志。
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin

集中管理客户反馈,通过投票排序,并分享交互式产品路线图。
@himanshu_b20 · X