
Ferryman - Cross-post to every social platform automatically
自动将内容分发到10多个社交平台。
@KevinNaughtonJr · X
building @ferrymanio to help people post their content everywhere automatically
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自动将内容分发到10多个社交平台。
@KevinNaughtonJr · X
building @ferrymanio to help people post their content everywhere automatically

输入想法让 AI Magazine Maker 设计杂志页面并生成可打印版本。
AI杂志生成器 — AI 生成杂志

一次编写社交文章,自动发布到多个平台。
@Lakshman2302 · X
One post. Every platform.

Write, format, design and publish full eBooks, novels, and audiobooks in minutes with Authoric AI. Includes 90+ free author tools, 3D cover designer, and KDP EPUB 3.0 formatting.
@mwaqas_PK1 · X
Romo AI - (All super AI tools in one place) Authoric AI - (All in one book writing platform with it's own dedicated marketplace)

自动生成SEO文章和反链以获得有机搜索流量
@ferr_studio · X
1. Register free. 2. Give a backlink. 3. Recieve a backlink.

Almanac - 自动从文件生成包含源引用的团队wiki
reveriedev · HN
Almanac – A self-updating wiki from your files

在浏览器中标注和编辑文件,通过自动过期链接分享。
TANTFENG · V2EX
周末到啦 介绍一个更加通用的 AI 导盲犬 Ampcode 推出的 Orbs 非常好用 但是反反复复提交图片 debug 会有点心累 现在远程 vibe coding 开发的场景越来越多了 agent 的识图能力也越来越强 但是如何给 agent 传递且描述准确的信息成了瓶颈 像 cursor design mode 这种好用的工具并不在大多数地方提供 尤其是画面动态变化的时候 或者步骤较多的时候可能需要多次标注以及关键帧引导才行 Markup Relay 作为 SUB&SUB 工作室第一个构想的开源产品提供了一个还在不断完善的思路 来作为 agent 的导盲和接力助手 让标注的内容能够被 agent 读懂 即便是视频 也可以方便的提取关键帧来描述画面的变动 https://tools.subnsub.com/relay 使用方法很简单 在桌面端浏览器内 你可以通过拖动支持的文件到窗口内进行快速编辑 如果是框选工具 在处理完毕后会对未框选的区域在浏览器端自动打码并上传至 cloudflare 的 R2 桶 并在设定时间内自动删除 https://i.

Sign PDF Cloud - 在线PDF签署工具和文档自动化平台。
@qayyumabro · X

用 Onbookr 管理预约、同步日历、自动发送提醒。
@helloukey · X

用AI或模板在几分钟内创建和发布专业网站,支持在线编辑。
@KhaledMMatar · X

AI 60 秒内生成品牌化提案、发票和专业文档 PDF。
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

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