
TODO for AI
自动化处理电子邮件、文档检索和发票处理等日常公司任务的AI代理。
@cviklihamar · X
here 🙌 let's connect! - an ai agent that clears your team's todos (ships code, runs your tools). let's connect!
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自动化处理电子邮件、文档检索和发票处理等日常公司任务的AI代理。
@cviklihamar · X
here 🙌 let's connect! - an ai agent that clears your team's todos (ships code, runs your tools). let's connect!

基于您的知识库的AI办公助手,自动化编码、研究和演示任务。
zhiheng_huang · HN
Sharper – an AI office agent grounded in your knowledge, with citations

ACME.BOT:采访式AI博客代理,研究网络后撰写并发布文章。
rohanrecommends · Product Hunt
ACME.BOT No-slop AI SEO agent that interviews you first

AI工具,评分简历、生成求职信、撰写LinkedIn简介和构建符合ATS的简历。
@cdt_tech · X
I built an AI tool for job seekers 🚀 DocPilot lets you: → Score your resume out of 100 → Generate tailored cover letters in seconds → Write your LinkedIn summary with AI → Build ATS-compliant resumes Try it:

与AI聊天自动调研、撰写和生成排版好的小册子。
BookletAI — 面向普通用户的小册子 AI 工具,可自动调研、写作并生成排版好的 booklet 页面。

按职业场景语义搜索 AI Skills,保存收藏集,一键装入 Claude Code。
SkillForge — Claude Skill 发现与分发平台,按职业场景组织 5700+ skill 覆盖 30 个垂直领域,一行命令装到 Claude Code / Cursor,登录后可留存自己的工具集

用12个自主AI代理自动化邮件、支持和内容创建。
@BainPath · X
Discover - Your AI Workforce. Let’s connect !

BotbaseAI:无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS

AI为代码库起草文档,团队编辑后通过提交发布。
linktothenew · HN
Docs.dev – A docs site you own, where AI drafts and you edit in place

与AI助手对话,它可以自主完成计算机任务。
stan_kirdey · HN
Clark – AI assistant with own computer

Umon是AI助手,整理你的技能、生成简历,为求职面试做准备。
@Skloozys · X
Umon is a career guide Upload your CV, talk to him, and he learns about you over time. He helps you figure out which jobs fit, your gaps, and how to position yourself better. The agent is the core, but there’s also a CV builder, editor, and job search.

在几天内为技术文档创建准确的AI助手。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig