This would allow for a longer carry back with up front 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?

What do you think of my essentially 7-word answer? "It's like selling pizza by the slice".  Too simple? Just right? How would have you answered? 

You can easily do this on a spreadsheet, and it will take less time to track than finding and learning new software.

In this game, sticking to one property type is your fastest path to mastery.

This is not going to be changed.  

The presumption of most reading this is you mean stocks and bonds and other assets you would buy from brokerage houses.

No, you weren't spamming, but the system doesn't actually read the messages, it just reviews them.

Price : $100,000,  4126 Laverne St, Oklahoma City, OK 73135, seems like good condition throughout.  3Bed/1Bath750sqftSchools are mostly 2/10Average rent for the zipcode is $950What do you guys think about this deal?

This year, I’ll be sharing tips, insights, and lesser-known strategies to help you turn your housing allowance into an asset.