My goal is to build a data-driven tool that provides actionable insights into which neighborhoods and property types are in the highest demand, based on metrics like:Time on market: How quickly rentals are being leased.Property characteristics: Bedrooms, bathrooms, size, and amenities.Pricing trends: Rental rates relative to market demand and property features.Visual quality: Leveraging property photos to analyze the style and condition of rentals that perform well.The tool will allow users to:Pinpoint areas with the fastest rental turnovers.Understand what types of properties (size, price range, features) rent the quickest.Gain deeper insights into property presentation and amenities that correlate with high demand.Thank you in advance for your feedback.

Some other factors to consider - How long are you planning to hold this property?

This is the reason homes are so much cheaper than cost to build.

Buying a large new build home can also work well as a house hack as you can charge a premium rent, and generally most bedrooms built now a days have en suites (at least in my market).  

At the end of the day for a new build your just paying for peace of mind.

Buy a lot and build a house for sale in 2026.

I have been a Building Contractor for over 30yrs.

Ignore the $1,250 per month because that's your cost of housing, if you didn't pay that on the home you'd have paid that in rent so that's a non factor. 

While algorithms can analyze data at scale, real estate isn’t just about numbers—it’s about nuances and the most important component of real estate is understanding its value, and that to me (maybe I am old school) but can only be done by physically visiting and walking the property.So for me, factors like local market conditions, property inspections, and borrower credibility can’t be fully captured in a formula.

Speed of building a portfolio (Cash-on-Cash return is a factor here)?