If I was approaching this I'd want chatbot that used the ChatGPT language model but was closed off from the internet and only trained on my data.

There is usually a missed opportunity in most markets delivering housing products that are needed but not readily available and the Zillow data most rely upon does not tell this story.Get to know the members of a community, their needs, what steers them away from the housing that's currently available.

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Then use the extra roommate rent income to pay down your mortgage and look to refi to a lower payment in the future (3-5 years) - so it cashflow when you move out.You could also choose the smaller unit and STR the other unit to generate more cash to pay down your mortgage and refi, so it cashflows when you move out.Bottom line: you'll have to get creative to solve your cashflow challenge!

Brian Davis: @Eric LoweThere's a company called Rental Property Refund that does cost segregation studies virtually, based on self-reported data from you.

Recently got my Real Estate License and have closed a couple deals there in helping friends buy/sell homes, helps bring in some extra cash.

And if you’re ever looking for boots on the ground, I’ve got a great network of investor-savvy agents who specialize in the Austin area.I’m here if you want to talk specifics or need an extra pair of eyes on a deal you’re considering..

Just go through them, select the renovated/closely matching ones, and enter them into a model.Here's my fix & flip model, you can see the comps entered and some quick stats below them: Then I use that comp data to adjust the Sale Price in the model to what I estimate it will be (double check the resale $/sf is in-line with the comps), then adjust the purchase price until I hit my desired return level. 

However, you appear to be the type that doesnt really want to deal with some of the work or extra effort needed for those strategies.

I also like to cross-reference that data with Facebook marketplace, craigslist, Zillow and apartments.com listings to get a really good idea of expectations for rent in a specific area.