[Showoff Saturday] Built an AI lesson plan generator for special ed teachers, Next.js + Prisma + K8s

I build SaaS apps (shipped 20+ at this point) and this ones for a pretty niche market. SPED teachers spend 4+ hours a week writing individualized lesson plans for each students IEP goals. Every kid has different accommodations, different disability categories, different grade levels. Its a massive time sink.

So I built SPED Lesson Planner. Teachers put in their students IEP goals and accomodations, it generates a complete lesson plan thats IDEA-compliant with differentiated materials and data collection sheets. About 5 minutes instead of 1-2 hours.

Tech stack:

• Next.js with NextAuth (Google OAuth + credentials)
• Prisma + PostgreSQL
• Deployed on DigitalOcean Kubernetes with cert-manager
• AI generation endpoint for the lesson plans
• pSEO system generating ~500 pages across disability/grade/subject dimensions

The pSEO architecture was honestly the most interesting part. 7 cluster types across 4 dimensions, and each page needs to feel like it was written for that specific intersection (e.g. "lesson plans for students with autism in 3rd grade math") without feeling templated. Took a lot of iteration to get right.

Free tier gives 1 plan/month, Pro is $10/mo for unlimited.

Would love feedback on the landing page or the generation flow if anyone wants to poke around.