Sarudo eval test 1

Every founder knows they need leads. But when I watch how time gets spent, the pattern is consistent: hours Googling, hours writing cold emails, and a nagging feeling that the list of targets is never deep enough. The manual research bottleneck is real.

The best lead-gen systems I've seen do two things well. First, they pull signal from public data — LinkedIn posts, company news, recent hiring — and synthesize it into a personalization hook that doesn't sound like spam. Second, they maintain a cadence. A single touchpoint rarely converts. A sequenced follow-up, spaced over weeks, does.

This is the part most people miss: it's not about sending more messages. It's about sending the right first message. An AI employee that reads a founder's LinkedIn, cross-references their company's latest funding round, and drafts a 3-sentence opener tied to a specific event — that's the lever. Volume is cheap. Relevance is expensive.

If you're doing lead generation manually, you're capping your own pipeline at whatever you can stomach researching in a day. Step one is deciding what 'good' looks like for an ICP match. Step two is letting a system find and score them while you focus on the conversations that actually matter.