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All Forum Posts by: Steve Strano

Steve Strano has started 0 posts and replied 5 times.

Adrian,

I believe you are on to something. This tool is very close to not only being pretty, and comprehensive, but also analytically savvy. 

The last BIG leap that I have done research on for myself is a competitive tool to AirDNA, but with a feature that you can rank investability with properties using historical data. 

A problem that I have seen with Airdna for example (and there are many) is that you cannot filter by size, profitability, or small nuances.

Might be rambling a bit, but as a Realtor that works primarily with investors, we heavily rely on PROJECTIONS that vary often times widely from management company to management company. 

If there was a program that allowed us to map search a specific area, pull HISTORICAL STR RENT history and pit those results against other results, that would be a literal game changer.

In my mind it would be a tool that I could search a city, or polygon map search a tight area, filter search for everything with 4+ bedrooms under 2m, and sort by profitability. 

I might even have investors that would be interested in something like that...

Just noticed, I can only search for a particular city. Can you not search for a specific property?

I was about to say the same thing! Just saw how expensive their service is. 

Have you thought about adding a feature to filter by beds, baths, or condos vs. SFH's?

Is Zillow the more accurate rental estimator? I also use Airdna but have noticed more and more discrepancies with rental numbers and their analysis with ROI and rental figures is weak. Your tool is already better.

This is a very clean tool! You are on the right track.

(first time posting - but I am an investment focused realtor in the Emerald Coast, Florida area) 

Question about how you are getting monthly rental data. I see that you have a link to RentCast, but the rental info there for properties I have checked do not correlate with the monthly rent on CFC. Some are low, some are close to median, and some are high. How are you pulling that info in? Or is it coming from somewhere else?