gem

Imagine giving an AI recruiting agent a simple instruction and having it find relevant candidates, enrich their profiles, and connect the dots across different sources. Better people data could make that workflow much more powerful. That's what Ploid is working on.

AI-powered sales is only as good as the data behind it. Finding relevant people, getting their latest contact info, and enriching their profiles could make a huge difference in how sales agents operate. Interesting problem for Ploid to tackle.

Reliable people data is one of those things that becomes much more important as AI agents start handling more complex tasks.

Everyone keeps asking which AI coding agent is the best. But I think that’s the wrong question. Writing code is the easy part. The real bottleneck is everything around it: choosing the right task, running the agent, fixing CI failures, and verifying the results. Humans are still responsible for coordinating that entire process. That’s where the concept of a software factory comes in. It sits between the backlog and the AI agents, orchestrating the workflow and turning individual coding tasks into a streamlined development process. And the best part? You can run it on your own infrastructure, maintaining control over your environment and workflow. The future isn’t just about building better coding agents. It’s about building systems that coordinate them effectively and consistently deliver working software. @superplanehq

While AI agents excel at coding, research, and web navigation, they have historically struggled to identify the real people behind companies and specific job roles. To solve this, Ploid has introduced a dynamic directory of over 2 billion individuals, allowing agents to retrieve up-to-date contact information using plain English queries. I am integrating this into my sales and outbound workflows right away—it finally bridges the missing human gap in AI agents.