AI 智能体1 month ago
Specage — Your Smart AI Assistant
Specage 是一个AI助手，可以聊天、搜索网络、生成图像并与您交谈。
@specsTrenz · X
Check out what I just built with Lovable!
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Specage 是一个AI助手，可以聊天、搜索网络、生成图像并与您交谈。
@specsTrenz · X
Check out what I just built with Lovable!
AI客服代理支持网站和Telegram，全天24小时自动回复客户，保持您的语调风格。
@UmairKhankorai · X
Check out what I just built with Lovable! Is it worth for your business?
Generate quotes, invoices, reports and client emails in seconds with AI tools built for UK plumbers, electricians, builders, estate agents, teachers, personal trainers and accounta
@Jack441122 · X
Solidity智能合约AI安全扫描工具，检测漏洞和优化建议。
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.
打造个人 AI 助手，支持自定义外观、语音和对话记忆。
@dearsummer0 · X
Your personal AI companion
使用AI支持、连接的协议和集成记录来规划、运行和学习实验。
lcmchris · HN
Sous.bio – your sous chef in the lab
AI 助手通过 WhatsApp 让餐厅接单，无需下载应用。
u/jjeosh · Reddit
I'm a line cook with no coding background. I built a WhatsApp-based restaurant POS in 5 months using claude code Most restaurants in Oman already take orders over WhatsApp — then retype them into a POS by hand. SmartOrdr makes WhatsApp the ordering channel. Customer texts free-form in Arabic or English ("2 shawarma no garlic, extra rice"), the order lands on the kitchen display, printer fires, payment link goes back in the same thread. Full POS underneath: KDS, delivery, loyalty, shifts, an
QWQ AI 是免费问答助手，提供详细推理答案，无需登录。
QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录
Glen AI是一个AI助手聊天平台，提供对话、自动化、内容生成和编码帮助。
@Bloteco · X
Hi my glen ai assistant powerfull and unlimited at
个人AI助手，有自己的电话、收件箱和计算机，记住你并遵循你的规则。
rohanrecommends · Product Hunt
Zinley Your Personal AI Representative for calls, email, and tasks
AI助手用于记录工作休息、管理任务并通过日历集成追踪生产力。
@WorksBreaks · X
Building Work Break; an AI-powered break and productivity assistant for teams. It helps you manage breaks, tasks, leave, meetings, and stays fully synced with Google Calendar all in one place. Would love your feedback! 👉
为技术文档创建 AI 助手，立即回答用户问题。
@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