YEP. We're very much in this camp. We cooled on VC for the last 2-3 years just to work through deep tech + business fundamentals in the graph space with good cu

YEP. We're very much in this camp. We cooled on VC for the last 2-3 years just to work through deep tech + business fundamentals in the graph space with good customers. That was very much against the grain because adjacent companies (graph DBs, while we are compute-tier graph intelligence) were raising megarounds to do self-similar things with little effective relative differentiation from the perspective of customers. By us instead focusing on things like category creation, profitability, & ease of use, each customer & hire now means growing the pie, not digging the hole deeper. That included some very unsexy things like valuing solutions engineers to work closely with customers to truly tackle their problems. Maybe a good time to say: That also means we are now getting way more enterprise/gov customers than ability to support them, so if you are into rapids.ai (gpu dataframes), dask, seaborn, streamlit, igraph, graph neural nets, etc. esp for tricky core graph problems like detecting fraud, security breaches, mapping supply chains, ... plz email build@graphistry.com :)