ScaleRep - Autonomous AI agents for CRM growth

Hi everyone! Daniel here, founder of ScaleRep. Really excited to launch today 🚀 The idea behind ScaleRep started from a problem we faced while working on CRM systems at PicPay (NASDAQ: PICS). Like many companies, we were sending millions of CRM messages (email, SMS and push notifications) every month. The team was constantly optimizing campaigns — running A/B tests, adjusting segmentation, trying new content — but improvement was slow. The core issue became clear: CRM optimization is an extremely complex search problem. For every customer you could vary: • message content • send time • communication channel • offer structure • segmentation logic The number of possible strategies explodes quickly. Human teams simplify the problem by using segments and periodic campaigns, but that leaves a lot of potential improvement on the table. So we tried something different. Instead of manually designing campaigns, we built a system that continuously ran experiments across CRM strategies. The system would: • design experiments • generate campaign variations • test audiences, channels and timing • analyze results • update strategies automatically Eventually it was managing tens of millions of messages per day. The surprising outcome: ➡️ CRM conversion rates increased ~400% ➡️ while cost per conversion stayed constant That experience made us realize something important: The real bottleneck in CRM isn’t creativity. It’s learning speed. That’s what led us to build ScaleRep. ScaleRep introduces AI agents for CRM operations. Instead of teams manually running campaigns, agents perform the entire optimization loop: • experimentation • segmentation • campaign generation • results analysis • strategy updates They operate continuously and at massive scale, optimizing communication for each individual customer instead of large segments. Humans define only: • the objective (e.g. maximize conversions) • the budget • operational constraints The agents handle the rest. We’re still early in the journey and would love feedback from the Product Hunt community — especially from people working with CRM, lifecycle marketing, or growth systems. A few questions we’re particularly curious about: What’s the hardest part of improving CRM conversion rates today? • How much experimentation does your team actually run? • What would fully autonomous CRM optimization need to get right? Happy to answer any questions and discuss the system in more detail. Thanks for checking out ScaleRep 🙏