This captures something crucial that gets lost in the "validate your SaaS idea in 48 hours" culture. The best products often emerge from deep exploration of a problem space without immediate commercial pressure. When you're optimizing for fun and learning, you make different architectural choices - you experiment with weird ideas that might unlock novel solutions.
I see this in the analytics space constantly. Everyone rushes to clone Plausible/Fathom with minor tweaks because that's the "validated" approach. But the genuinely interesting problems - like real-time 3D geospatial visualization or AI-driven anomaly detection across behavioral patterns - require months of tinkering with WebGL, spatial databases, and ML pipelines before you know if it's viable.
The counter-argument is that "fun" can turn into perfectionism and never shipping. I think the balance is: have fun building the core innovative piece, but be ruthlessly pragmatic about everything else. For Prysm, I had fun building the real-time Globe visualization with Three.js and Supabase Realtime, but used boring proven tools (Next.js, Stripe, Resend) for auth/payments/email. Ship the fun part, commoditize the rest. That's how you avoid the "two years building in stealth" trap while still doing creative work.