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?

They generally have the recipe down and just need the deal funded if that makes sense? 

And there are lots of conventional loan programs where you can put down <20%If it were me, and I was committed to purchasing, I would try and land an off market property needing a bunch of work and force appreciation that way.

This allows you to access some of your equity without needing to refinance your first positions.

My Boulder units have still been 100% occupied, while Longmont and Denver units have had much higher turnover in 2024 than the previous 5 years. 

Sellers and Brokers need to know you can close. 

If not, how much are you all "throwing away" on rent when those funds could be applied to ownership?

You're in a good position, you just need to figure out which option works best for you. 

For those who don’t know, Steve Lehman is a tremendous resource in Indy for any investor needing an objective opinion on all things related to investing in this market.Quote from @Steve Lehman: @Jared FisherI will strongly advise using @Lauren Perry.

If you ever need help, I’m happy to assist!