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通过自动提醒和AI协商收回逾期发票。
@petkosokol · X
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通过自动提醒和AI协商收回逾期发票。
@petkosokol · X

为订阅业务提供AI驱动的留存智能。
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.

查看ChatGPT、Claude等AI在你的类别中推荐什么,以及他们推荐谁而不是你。
u/EmbarrassedBuddy9743 · Reddit
I built a free tool that shows who AI recommends in your category (and who it names instead of you) When you ask ChatGPT, Claude, Perplexity or Gemini for the best tool in a category, they recommend the same few incumbents and quietly skip everyone newer. Most founders have no idea whether AI is recommending them or their competitors. So I built Bersyn. You type your domain, it asks the four models the questions your buyers actually ask, and shows who gets recommended in your category, who

将URL粘贴到Tacit,AI会转录、总结并在画布上连接相关内容。
@trytacit · X
Building TACIT to stop stop saving and start applying

通过实时压缩提示词和检测重复工具调用,将AI代理的Token成本降低40-70%。
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

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

快速从网站创建 AI 员工,24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

通过偏好学习让你的AI产品理解用户品味
@marcellafjacob · X

AI交易日志,导入交易并追踪睡眠和压力来发现成功的驱动因素。
@QuantBuddyAI · X
And just getting started!!

Build AI-powered workflows from your notes to automate GTM and sales processes.
@jingconan · X
Hi! Let's Connect! I am building which helps founders to turn ideas to reusable workflows
