Then take that data and skip trace it for numbers email etc.

From all of that data, it's abundantly clear to me that any rental that has debt doesn't really cash flow.

The model flagged listings that could likely generate more revenue with better descriptions.4.Market Comparison: Using Zillow Zestimate APIs and AirDNA, they compared similar properties in the area and forecasted how much more the property could make if the photos and descriptions were improved.5.Property List: All of this data was organised into a Google Sheet for further review.6.Automating Outreach: They used Claude to generate personalised outreach emails and DMs to homeowners, pitching offers for the properties.The entire process revolves around identifying undervalued homes that look worse online than they actually are.Has anyone seen anything like this?

That being said, all of these lead-generating companies do the same thing and often use the same data to source contact information.

New Jersey is one of the least landlord friendly states in the country - FACT.Liberal policies are not friendly towards landlords- FACTNew Jersey is a liberal blue state - FACTI was nice in my original post.

They typically will have data and newsletters as well they can send you.

Metro, and the expected spike in rent growth in the D.C. metro over the next few yearsSummary:After analyzing the data outlined below, I believe that investing in a value-add, multifamily property today has very strong potential for success.

Use tools like AirDNA or Mashvisor to provide market data on projected rental income and occupancy rates, and make sure your lender works with appraisers familiar with short-term rentals.

Park lane, Houston - Original projected completion 2022.5.

This goes the same for calculating rents in the area, I what to know the real data.. i.e. from the MLS, or insurance from the broker/insurance agent to make the right decision.