Quote from @Bob Stevens:
Quote from @Johann Villalvir:
Quote from @Bob Stevens:
Quote from @Johann Villalvir:
Hey looking for other data nerds here. I built an AI app that uses ML to predict a home's ARV using other properties in the area that have been flipped. So far, this approach has saved my team so much time when sourcing on market deals. It almost feels like a cheat code for REI. Has anyone tried this approach before? What are the downsidesW
Why would one need an app? If you have experience in the area you should know, well you better know the ARV. Any property any street in all of my markets I will tell you the ARV within a few bux in under 5 minutes. Of course, some will be a bit higher or lower, depending on upgrades, appliances, tile, crowns, flooring etc. Also why not just run comps? IMO this does not make any sense, but what do know. So many are trying to reinvent the wheel when its just about numbers.
All the best
You said it correctly, one without your experience in an area would need that app.
The app pulls comps for hundreds of properties, and then it sorts them from highest to lowest margin in under 2 seconds. How long would it take you to do that manually?
why do you need 100s? A bit overkill ( another words waste of time ) 3- 5 is all that is needed,
Hey I hope you sell a million of them and life is great,
All the best
But how would you pick those 3-5 properties to pull comps for? It sounds like you're starting with a chicken or an egg already.
I'm talking about pulling comps for every property for sale in any specific area, and then just looking at the ones that have the best opportunity.