Niche Scoring Lessons From Real AI SaaS Teams

Recurring lessons from AI SaaS teams. Composites; patterns are real.

Lessons

• Capability inflates everything. Engineers score niches based on what they can build. Real fit is audience and trust.
• Crowding research saves quarters. Twenty minutes of competitor search before scoring catches the niches already saturated by other AI startups.
• The exciting niche almost never wins. Across every team that ran honest scoring, the technically interesting niche scored third or fourth.
• Boring B2B beats consumer AI. Existing spend in B2B is real; consumer AI markets are noisy and unpaid.
• Outside non-technical reviewer is essential. Founder bias toward capability does not go away. Get the second opinion.
• Re-score after each model release. A new model can collapse a niche's differentiation overnight.