AI 智能体1 month ago
Skippr | The Live AI Employee, Serving Every User
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
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14 projects
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
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
用网站内容训练的AI聊天机器人，自动处理客户支持咨询。
@Customergptai · X
HiAgent 是从已批准来源回答客户问题的网站 AI 客服小部件。
@titask420 · X
FoundChat: 基于文档训练AI代理处理客户支持和销售。
@iietmoon · X
Need sales x3 here is conversational AI Agent
全天候 AI 客服和销售线索捕获，支持网站、Shopify 和 WhatsApp。
@hisachinj · X
AI代理智能回答文档中的支持问题并筛选销售线索。
@the_real_ori · X
Building AI support agent for SaaS. One agent, support and sales in the same inbox. What are you shipping?
AI驱动的CRM，用于潜在客户发现、电子邮件验证和冷联系。
@ensaktas · X
粘贴URL即可部署AI客服，全天候回答客户问题并自动预约。
u/Appropriate-Career62 · Reddit
Is my messaging clear? Hey guys, some time ago I created a service and a lot of people told me on reddit, that my messaging wasn't clear enough. I took a pause and after a while redid the main page, I am no marketer, si I have no idea what works, what not. Can you please try to rate my landing? is it clear what is it, or did it take a lot of effort to understand? thanks for your time guys, I appreciate it. https://namiru.ai is the service submitted by /u/Appropriate-Career6
marql chat是一款AI聊天助手,可通过连接POS和会计系统回答零售及餐饮运营问题。
@88evankazakov · X
The AI Visibility and AI Customer Support platform. Get cited in ChatGPT, Gemini, Perplexity, and Claude, then answer every question that follows, 24/7.
@thevedp · X
AI Visibility:
通过二维码收集谷歌评论,用 AI 协助快速回复。
@SamiirHalady · X
Building ReviewMitra: Living Customer‑Centricity If you listen closely enough, your customers will write your product roadmap for you. When I built the goal was simple : help businesses get Google reviews without typing them out. That idea became reality. My first vibe‑coded app took time, but it worked. Then a friend asked, “Can we respond to reviews too?” That one question sparked the next feature : replying directly from the merchant login. Soon, I added sentiment analysis, a word cloud, and WhatsApp integration. Then came support for multi‑outlet brands, and now, a white‑label option for agencies. And here’s the part I’m most proud of - ReviewMitra now generates reviews in 39 languages, including 22 Indian languages and several European and Asian ones. Because trust shouldn’t be limited by language! Every new feature wasn’t planned, it was inspired. By feedback, by curiosity, by conversations. For years, I’ve told clients that the best approach is customer‑