The full gallery
Tech stack
60 projects
AI agents embedded in your product to automate customer onboarding and support tasks.
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user
Govern, trace, and defend AI agents across multiple providers.
camsjams · HN
Lineation – One security control plane for all agents
AI chatbot that automates sales and customer support with lead capture.
@i_Shahzaib_ali · X
Soft launching my first SaaS: YourSaleMate An AI chatbot platform that: Trains on your own knowledge base , Captures + qualifies leads 24/7 , Gives instant website support , Tracks performance to boost conversions Free to use right now.
Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed
AI agent that learns from your documents and Notion to automatically handle customer support.
@vela_cx · X
Build and deploy AI customer support agents without writing code.
@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
Provision cloud infrastructure for deploying AI agents on the Internet Computer.
@jackbearsupply · X
Deploy AI agents trained on your docs to automate customer support and sales conversations.
@iietmoon · X
Need sales x3 here is conversational AI Agent
Design and deploy AI agents that automate tasks across software without requiring APIs.
@gabebenchimol · X
Discover, purchase, and integrate AI agent capabilities via API.
b_radford · HN
Fund an agent once – prepaid USDC key for HTTP 402 tools (Solana)
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
AI agent that answers messages and handles requests on your behalf.
@xzensh · X
记 alink @alinkHQ 的第 n 次调整。 我把 丢给一个朋友，两天后他回复「牛啊，这个产品是不是比较超前啊，看了几遍才有点理解」。 一个懂技术的人需要看几遍，估计不懂技术的人看一眼就走了。 Fable 同学说，超前的不是产品，是叙事选择的入口。alink 把最超前的一层（智能体身份／关系／授权）当成了解释产品的入口，而它本可以只是信任背书。产品里最不超前的部分——「有人找你时，有个东西替你接待」——是千年老需求：秘书、前台、门房、答录机。AI 没有创造这个需求，只是第一次让个人也雇得起一个前台。 新的调整已经上线了，请帮我看看，如果你觉得还有问题或者有建议，欢迎通过 反馈。 对于高质量的建议我们赠送1年 alink Pro 会员。
