I've never had to use hard money before, so I am not sure what type of conditions are reasonable.

While algorithms can analyze data at scale, real estate isn’t just about numbers—it’s about nuances and the most important component of real estate is understanding its value, and that to me (maybe I am old school) but can only be done by physically visiting and walking the property.So for me, factors like local market conditions, property inspections, and borrower credibility can’t be fully captured in a formula.

Paid platforms often offer additional features like market analytics, off-market property leads, and filters for investor-specific criteria, giving them a leg up over free options.Exactly, most platforms have to offset cost somewhere because of how expensive it is to keep the data up to date.

Once you learn how to generate leads, marketing, negotiating, etc you can go be a solo agent.

You can learn to do this independently or get a rockstar REALTOR to lead the way.

My go-to response is always: Do you have a Move-In Inspection to document the home's condition beforehand?

I'm looking to purchase my first property with my fiancé (both 25) with the goal being to establish our primary residence together, as well as giving me the opportunity to add equity/value via rehab before moving on and converting the property into a rental within a year or so to kickstart an investment portfolio.An interesting lead that recently came up is my parent's neighbor's house.

Let them do the follow up and paperwork and maybe lead cleanup, but you do the dialing and talking yourself for much better results.

For example, say I have a foreclosure, or expired listing lead that I would like to find accurate phone numbers for for prospecting.

I’ve been manually scouring Zillow/MLS for deals, but it’s time-consuming, and I’d love to streamline this.2.Has anyone experimented with using machine learning models (like classifiers or regression models) to rate properties based on their condition from MLS listing photos?