Would You Use an AI Tool to Screen Rentals/Flips Faster? Looking for Brutal Feedback.

[Thao Do]

Hi all — I’m building a tool and want honest input from active investors and agents.

How do you currently analyze a potential deal?

• Estimating true rental income (not list rent).

• Modeling taxes, insurance, maintenance, and financing.

• Stress-testing downside (vacancy, rent drops, expense shocks).

• Checking neighborhood/school data and comps.

• Deciding which 1–2 deals are worth a deep dive.

What I’m prototyping:

      Insert your loan info/expenses

• Get an instant financial breakdown: rent model, taxes, insurance, cash flow, cap rate, DSCR.

• Adjust assumptions in seconds (rates, taxes, repairs, PM, vacancy).

• Data confidence score so you know when numbers are strong vs. thin.

• Market/Neighborhood snapshot (sales/rent comps, schools).

• Roadmap: Section 8 insights + an Agent Portal for shared underwriting.

Where I need your feedback:

1. What’s the first number you trust to decide “pass vs. proceed”?

2. Which input do you tweak most (taxes, rent, maintenance, PM, interest rate)?

3. What’s missing from most tools that would actually save you time?

4. Is a quick “screening grade” useful, or do you prefer raw numbers only?

5. Would you pay ~$35/mo if it cuts your screening time by 80% for premium account?

I’m offering early access to a small tester group and will prioritize features based on your feedback.

Thanks in advance for any blunt feedback.