The "no more spray and pray" line hits home - we've watched too many founders burn their reputation with generic outreach to mismatched investors. 12 VCs in month one is solid progress. What's interesting is the stage/industry matching. We're seeing a lot of AI tools claim they can do investor matching, but most just keyword match without understanding nuanced investment thesis. How does Caladan's AI actually parse investor preferences beyond the obvious sector tags? Most VCs we've encountered have unwritten criteria that don't show up in their public materials - geographic preferences, specific revenue ranges, team composition biases. The founder profile feature sounds practical for consistent messaging across different conversations. I will try！