Unfortunately I can't vouch for the accuracy of the data though (according to this Westgate is D area). 

Purchase price: $162,000 Cash invested: $1,460 Sale price: $272,000 Contributors: Peter Vekselman Partner Driven, in collaboration with our partner Seth Choate, successfully completed a deal on N Pasadena Ave, Waterford, CA.

Purchase price: $154,000 Sale price: $185,000 Contributors: Peter Vekselman Partner Driven, in collaboration with our partner Francisco Diego, successfully completed a deal on Greenwood Ave, West Palm Beach, FL.

Purchase price: $155,000 Sale price: $250,000 Contributors: Peter Vekselman Partner Driven, in collaboration with our partner Jamari Spruell, successfully completed a deal on Bell Court, Rex, GA.

Purchase price: $120,000 Cash invested: $1,111 Sale price: $210,000 Contributors: Peter Vekselman Partner Driven, in collaboration with our partner Antonio, successfully completed a deal on S Homan Ave, Chicago, IL.

When institutions estimate operating expenses for calculating the NOI and subsequently the DSCR, they typically use industry benchmarks and historical data.

Hello, I am a software developer and I have a data science friend who we want to team up on making software in the real estate niche.Tell me, as a real estate professional, please dream of your ideal software. what kind of software or software feature do you wish you had or wish that can be improved upon.

Ok I will check those websites out, Thank you.There's a variety of ways to get a deal in front of you (I'm mostly a flipper), but basically if it looks promising, I run custom comps queries and check the current & past $/sf of renovated/distressed product in that city or zipcode.Here's a chart on 90066 I generated from my tool under Market Stats > Sales Data > Specific Zip Code:- My above chart (more available) shows the Avg Renovated $/sf (High) over time in this Zip Code, something completely different than charts/providers based on Averages/Medians only, like every other platform (RedFin Below, https://www.redfin.com/news/data-center/):- Can't select smaller locations such as City or Zipcode for their $/sf data, so it's useless helping me underwrite/verify a deal.- Can set Zip Code for Median Sale Price data, but again it's the median/avg so it's useless helping me underwrite/verify a deal.Then if that looks decent, I'll run Sales Comps, and get a quick summary of some key metrics based on those comps.

It does all those tedious "back of the envelope" calculations for listings within 50 miles of your city and refreshes its data daily!

Was a bad night as I had worked 12 hours that day and driven home 2 1/2 hours prior to the guest trying to pull that trick.