金融商业2 weeks ago
Delphi
用自然语言构建AI交易机器人，回测策略并自动监控市场。
ariavikram · HN
Delphi – Build your own AI trading agent in seconds
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26 projects
用自然语言构建AI交易机器人，回测策略并自动监控市场。
ariavikram · HN
Delphi – Build your own AI trading agent in seconds
用AI快速生成并电子签署商业提案。
@Yogeswar__ · X
Hey, I recently created a saas for Freelancers. Website : Demo-vedio: Any feedback ? Mailto : [email protected]
嵌入式AI代理自动化客户入职和支持任务。
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user
AI 代理在 WhatsApp、Instagram 和网站上自动为企业完成销售。
@Aakashroy32 · X
部署基于您业务数据训练的AI代理，用于回答客户问题和筛选潜在客户。
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,
Argutum：与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom
60秒内创建任何合同，签署前获得AI风险分析。
@Gaurav_dev01 · X
通过追踪购买信号和评分潜在客户，在LinkedIn上自动预订演示会议的AI代理。
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings
AI代理与外部系统交互的防火墙控制界面。
@lucasaimaster · X
The Firewall between agents and the Real World. Try it for today!
实时授权和政策执行，控制AI代理的支出。
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
协调多个 AI 编码代理在共享代码上工作，无冲突无需登录。
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b
