Ask all the Qns and have a fast fits-reality filter ? Seems like a general recipe useful in startups, science and life. afterthought : We are not doing this

Ask all the Qns and have a fast fits-reality filter ? Seems like a general recipe useful in startups, science and life. afterthought : We are not doing this now, either in science research or in startups : The current VC model of funding startups is too few large bets, and too many hoops for small startups to jump thru to get to VC money. Wouldn't a more efficient betting stategy be to place a small bet on a promising team/idea/market .. then followup with a larger bet on proof of progress ? I think we are missing out on funding a long-tail of small startups using Reinforcement Learning techniques to solve real problems in engineering / logistics etc. The impedance mismatch means we dont get the useful new tech built, we dont develop talent and VCs take on more risk than needed and miss out on high growth startups. This might be structural in the money supply .. we might need smaller boutique VCs to fit that gap between large capital and small startup .. perhaps more post-exit founders should start small angel firms, and mine the RL niche.