Your MVP doesn't need architecture.

Most data scientists don't fail at the model. They fail at the timeline.

I've seen sharp engineers spend 3 months on the "right" stack before a single user touches the product. Meanwhile someone else ships a duct-taped version in a week and gets paying customers.

→ Your first version doesn't need a pipeline, it needs a pulse
→ A spreadsheet + manual pull can validate demand faster than any dashboard
→ Ship the version that embarrasses you a little
→ Talk to 10 users before you write 100 lines of code
→ "Scalable" is a problem you earn, not one you start with

The market doesn't reward your architecture. It rewards what people actually use.