金融商业3 hours ago
ClosingPro | The AI sales trainer built for the door
与根据真实通话和异议构建的AI买方进行实时销售演练。
@gannonallenai · X
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26 projects
与根据真实通话和异议构建的AI买方进行实时销售演练。
@gannonallenai · X
Kifly让AI代理购物，您审批每笔交易。
roberttk1 · HN
A commerce Network built on UCP for agents to discover and Pay
AI销售代表，自动为小企业捕获、鉴定和预订潜在客户。
agentforgeai_cmd · Product Hunt
AgentForgeAI Your AI Sales Rep That Never Sleeps
AI CRM 平台，提供 AI 驱动的销售洞察和管道自动化。
@SaikatKuma87126 · X
Just shipped AI CRM 🚀 A lightweight CRM with AI-powered sales insights. Would love your feedback: Building with Next.js + Prisma + Gemini AI. #buildinpublic #NextJS #AI
OutsScale：检测购买信号，获取已写好的外展文案。
@rajkvishal · X
Find buyers already showing purchase intent — before your competitors do.
YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台，自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha
用 KalTalk 从你的文档回答客户支持问题，同时识别销售机会。
@the_real_ori · X
Building AI support agent for SaaS. One agent, support and sales in the same inbox. What are you shipping?
在线购买和销售 AI agents、prompts、datasets 和 research reports。
@usezana · X
使用Claude AI生成专业自由职业提案，包含电子签名和支付功能。
@n_surendar29293 · X
与 AI 代理聊天的市场，按调用次数付费。
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or
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
