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.

We determined the ARV, estimated our rehab, decided on our required profit, and then negotiated on the purchase price based on that data.

Some tenants even sort based on sub-structure so just making sure all of the details are as precise as possible. 

With 179 you are going to be limited based on your percentage of business use with the vehicle (so still need to track mileage), and if you go under 50% business use you can end up with a recapture of your prior 179 deduction - income with no related cash flow is always a bit uncomfortable!

For those with coverage, whether an occurance of it is covered would be based on how it occured and did/should you have knowledge about the potential for mold.

I'm a CT based investor, flipper and property management company owner.  

We learned a lot about project based Section8 buildings, but are now actively pursing more projects like this.

Quote from @Robin Cloud: It's hard to make a decision based on this.

Based on what did end up in the house, she spent very little on actual decor for the house.

Set a reasonable salary for yourself (based on market standards) to ensure a stable income.