Tenra
A landlord built the predictive tool he always wanted, and a 130-unit operator lined up to buy.
A landlord built the predictive tool he always wanted, and a 130-unit operator lined up to buy.
Tenra is AI property management with predictive tenant screening: renewal likelihood scoring, expected stay duration, and early warning signals legacy tools cannot produce. It was built on Replit with Supabase.
Lokesh W. lived the problem in Milwaukee. He had twenty years of experience, and AIPA treated that experience as the moat instead of something to simplify away.
The program channeled that domain knowledge into multi-channel validation. A landlord managing 130 units bought in and referred another operator who was already searching. This is the story for founders whose best edge is the market knowledge they already carry.
- Market (opportunity)
- TAM $32.6B in property-management software, with over ten million US landlords.
- Revenue
- $3K MRR, pricing set at $10 to $20 per unit per month, with a 130-unit buyer already signed up and more in the pipeline.
Read the numbers this way: documented revenue is money already earned; market size and any “target” figure describe opportunity, not money earned. Category-level market sizes are estimates.
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Earnings disclaimer: Results vary and are not typical. The stories and figures shown are real but not typical, and no revenue claim has been added beyond the source material. Your results depend on your effort, expertise, and market conditions. Nothing here is a guarantee of income.
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