
Private AI Stack Finder — STACKELIER
根据工作类型、数据和硬件需求查找私密AI堆栈
dvk_zone · Product Hunt
STACKELIER Find private AI stacks for your work, data and hardware
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18 projects

根据工作类型、数据和硬件需求查找私密AI堆栈
dvk_zone · Product Hunt
STACKELIER Find private AI stacks for your work, data and hardware

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

云端个人AI助手,自动化工作流、驱动浏览器和执行研究。
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe

隐私为先的AI助手,支持一键重置所有记忆。
@zenkamind · X
"ZenkaMind will forget everything about you." That's the copy on the memory reset button I just shipped. One tap. Clean confirmation. Done. Most AI apps make this feel like defusing a bomb. It shouldn't. Live on #BuildInPublic #AI #Privacy #ProductDesign

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

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


Aster - WhatsApp上的AI助手,用于提醒和费用管理。
u/Limp-Upstairs6798 · Reddit
People don't want another productivity app I've been building an AI personal assistant that lives entirely inside WhatsApp. Instead of asking people to download yet another productivity app, create an account and learn a new interface, they can simply send a message like they normally would. For example: - "Remind me to pay rent next Friday." - "I spent $28 on groceries." - "Remember my passport is in the top drawer." - "Add milk and eggs to my shopping list." - "Share this shop


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

通过统一的API访问多个AI代理,按使用量计费。
@agentsky_dev · X
Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:

自动监控行业、创建和发布社交媒体内容的助手。
@taherchhabra · X
These exact 4 things ... in