Other3 weeks ago
ClientDoneForYou — Find High-Intent Leads on LinkedIn
AI tool to find and verify high-intent B2B leads from LinkedIn.
@volosatovde · X
I’m building this to make it quicker and easier to find clients
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AI tool to find and verify high-intent B2B leads from LinkedIn.
@volosatovde · X
I’m building this to make it quicker and easier to find clients
A simple CRM for small businesses: capture leads, build branded invoices from your product and service catalog, share them as a link or PDF, and work an automatic follow-up sequenc
@tomfromtampa · X
AI agent that books demo meetings on LinkedIn by tracking buying signals and scoring leads.
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings
Converana answers new and missed leads for home-service businesses, qualifies them with AI, and alerts your team when a lead is ready to book. No credit card required.
@realsilasnoel · X
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复