The 60% time on sourcing stat is real — and the core problem isn't data collection, it's signal quality. Most VC deal flow tools drown you in leads. The actual value is in the filtering: which signals actually predict founder-market fit at seed stage?
Curious about two things: (1) How are you handling the cold start problem when a VC first connects? Do you need a minimum history of past deals to calibrate the model? (2) What's your signal source for "momentum" — is it purely public data (GitHub stars, Product Hunt launches, social mentions) or do you incorporate private signals like hiring velocity or domain registration patterns?
The pricing gap between Affinity at $2k/mo and what indie VCs can afford is a real market opportunity. Most seed funds have 1-2 partners and can't justify enterprise CRM pricing for deal flow that's 80% noise.