Who is the buyer for this idea?

Head of Asset Management at a $500M+ CRE portfolio. Reach them through naiop + icsc events and white-label for tier-2 lpo firms. Skip broad SEO on day 1 — start where your first 20 customers already hang out.

How would you monetize it?

$50-200 per doc + $2-8k/mo platform fee, avg $50-300k ARR per landlord. Pricing is the most under-thought step for these buyers, so anchor to the outcome you replace, not the tool you resemble.

GPT-4-class OCR+reasoning finally clears the 98% recall bar these buyers demand. That's the underlying shift — if it fades, so does the wedge.

What tech stack would you use?

Suggested stack: Next.js, Supabase, Lovable AI, and AWS Textract. You can build the v1 in weeks on this stack; the moat is workflow depth, not framework choice.

Who are the incumbents I'd be competing with?

Study LeaseCake, Prophia, and Leverton — read their 1-star reviews, price ladder, and onboarding. That's where your positioning lives.

Who is the buyer for this idea?

Head of Asset Management at a $500M+ CRE portfolio. Reach them through naiop + icsc events and white-label for tier-2 lpo firms. Skip broad SEO on day 1 — start where your first 20 customers already hang out.

How would you monetize it?

$50-200 per doc + $2-8k/mo platform fee, avg $50-300k ARR per landlord. Pricing is the most under-thought step for these buyers, so anchor to the outcome you replace, not the tool you resemble.

GPT-4-class OCR+reasoning finally clears the 98% recall bar these buyers demand. That's the underlying shift — if it fades, so does the wedge.

What tech stack would you use?

Suggested stack: Next.js, Supabase, Lovable AI, and AWS Textract. You can build the v1 in weeks on this stack; the moat is workflow depth, not framework choice.