完整作品展
技术栈
21 projects
Simplify your social media strategy with iHatePosting social media scheduler. Plan, schedule, and publish content seamlessly for a cohesive brand presence.
@iHatePosting · X
SoMePoster 为社交媒体平台安排和发布帖子。
@JespernissenSEO · X
用AI写作助手和专业模板快速创建和发布电子书。
ebookerr · Product Hunt
ebookerr - Your Ebook Creator Create a complete ebook with AI — no writing skills needed
Lumora Lens自动化社交媒体规划、品牌内容创建和排期发布。
@LumoraLens · X
Lumora Lens fully automates social media for small businesses including posts, DMs, comments and Google reviews
从单一仪表板向多个社交网络发布和调度帖子。
@DonatasJab · X
Not long ago finished my first SaaS product - social media scheduling tool. Tomorrow will launch on Product Hunt. I hope it goes well.
从 Notion 发布博客，支持自定义域名和分析仪表板。
heywitt · V2EX
有在 Notion 写作的用户吗，一个 Notion Blog 产品免费赠送半年 https://nore.sh/zh 是我最近的作品，有关动机可以阅读 [个人博客与 Nore 的价值]( https://witt.im/posts/personal-blogging-with-nore)。 简单的说，即是将 Notion 中的页面发布成一个独立的 Blog ，这是一个常见的功能，并且有多个竞品，Nore 的特点是提供低运维参与、低营销、高性能与质量的替代品。 你可以试用，因为你的文章仍旧保存在你自己的 Notion 中，你也可以随时退出 Nore ，没有任何损失或绑定风险。 以下是活动链接，立刻领取 180 天会员： https://nore.sh/zh/campaigns?code=dEieZYnEs1St8yUvnawO   
Create, schedule, and publish content across major social platforms from one professional dashboard.
@naveen_a11y · X
在统一仪表板中管理多个社交媒体账户、发布和分析内容。
@usamaejaz · X
SocialBu schedules, publishes and analyzes your content across every platform while you focus on actually growing your business.
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
在统一仪表板中为 11+ 个社交平台排期和发布帖子。
@AmeerHaio · X
your content everywhere!
