Yep. But don't tell anyone. This is a secret weapon/super power most juniors (and many mid/seniors) have been conditioned by the GOOG/FB/AMZN/MSFT approved project literature to believe is simply untrue. The number of experienced, highly skilled founder devs I know that reach for shiny tech stacks that solve issues they don't have but can "scale" is a 100:1. That choice comes with staggering costs.
I suppose single node+db works fine for hobby SAAS and expert programmers who can squeeze every bit of performance from the machine. But for the average in-efficient programmer or teams, standard PostGres as DB and HA services fronted by a load-balancer work better.
Your project is far more likely to die within a couple of years from having too few users than from having too many. If you find you're having scaling issues then that's a good time to solve them - your project is popular enough to justify the investment.
You'll likely be recoding your project quite a lot in the early phase of the development anyway as you learn more about the problem and (most importantly) more about what your users want/need. Anything that can reduce the cost of this early iteration will pay dividends later because it makes it more likely that you'll need to scale - and by the time you do need to scale you'll be scaling something that you understand and other people want.
Why not advocate instead for people to start out running their application and postgresql on the same server, with wal-e for backups to S3?
That has almost the same benefits while everything fits on one server, but opens up alternative approaches to scaling if one day things no longer fit.