Really I was just hoping a PM with a lot of properties had data to share.

When someone presents to "tap" Private-$ we want to do as little thinking as humanly possible, that's to say the burden is on you the proposed borrower to present a complete, detailed "pitch" outlining the allocation of every cent, contingencies, time-lines, data supporting each action item.

Hey everyone, I’m working on a platform concept called RentKeep that focuses on providing property intelligence to help property managers make data-driven decisions to increase their NOI.

From one real estate investor to another.Today We’re Talkin:- The Weekly 3 - News, Data and Education.- All the “whys” for High Home Prices- Home Prices, it’s more than just supply and demand.- Generation Toolbelt.

My journey in real estate began several years ago, driven by a passion for helping individuals find their dream homes and making sound investment decisions.I specialize in residential properties, focusing on both buying and selling, as well as identifying lucrative investment opportunities.

Appreciation here is likely driven by demand for established areas and school districts, which likely isn't the <$250k stuff.If finding cheaper stuff was my priority I'd probably look out of state.

I would suggest using this website to get a general idea of the locations you are interested in. https://www.areavibes.com/Its pretty cool because they give you a total livability score and you can just see the different data that they give you

When analyzing a potential short-term rental (STR), especially with fluctuating rents and occupancy due to seasonality, you can break it down like this:Monthly Breakdown: Look at historical data for each month.

@Delmar Marsh JrAs you begin your investing career I would suggest using this website to get a general idea of the area you are looking to invest in. https://www.areavibes.com/Its a great starting point and gives you a whole list of data that you can look through. 

Having said that, I modeled out 7 investment options and used historical data to predict the future returns.