I am curious if anyone experience in partnership, GP / LP scenarios. 

I think one of the biggest risks you face with Cash Out is interest rate risk.It's really difficult to predict where interest rates will be in a 2-5 year time period, so it can also be challenging to model out future mortgage rates.

It potentially can be possible if you provide your capital to a fund who operates as a private lender.You would have to be a non-managing member in an LLC or an LP in a Partnership.Therefore, you would have no say in items such as who to lend the money to, at what rates, etc.Best of luck

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. 

Hilarious, down to earth, and sharp guy with a great story and unusual business model! 

I was drawn to this investment mainly to test out the new padsplit model.

The market we are in currently is ideal for such but we need the initial capital and assets (rehabbed) to begin execution on the model. 

Continuous participation.This is great if you are talking about an SMB with effectively connected Real Estate.Note rental activity is considered passive unless you meet the RE Pro threshold of 750 hours and more than 1/2 your time.This is the conundrum for passive real estate investors.If you have a full-time job or a large, time-consuming business it can be difficult or impossible to qualify.A huge loss from depreciation if you have one LP investment isn’t going to do anything for you.

Many companies only release certain clusters and types of data which can make assumptions riskier and modeling outputs more variable. 

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.