The core value prop is 2 things:
1. Not having to deal with authentication, team permissions, organization management and a good UI/UX. We do this by embedding the tools you create into our parent web app.
2. An AI offering (as shown in the first video) that allows you to quickly scaffold out your tool with just a prompt when developing locally. It knows about our components and auto applies code changes, so the feedback loop is faster.
2 is a very doubtful differentiator, any decent ai engineer can do what they showed. they’ll have to deepen their ai stack a lot more to not be clonable there
@swyx I personally think it's not just about AI engineering, because step function improvements in foundational models means that everyone's AI stack is in trouble, not just ours.
For us, an underrated part of what is valuable is the components and their API design. Being able to have a <DataTable /> with just the right props for the right use cases, so that a foundational model doesn't go and build it from scratch is useful.
The reason is mainly because now you save money on tokens, and save time because faster inference (since abstractions are already in place).
tl;dr give AI the right tools > trying to compete at foundational layer. (We are building those tools.)
