The 22k in NJ is a sweeter deal and I think you will have better luck finding a SFH at 220k in a decent are in NJ than PA. 

There is a decent chance you will find a toilet with a busted flapper. 

that we’ve learned in our 24 years, managing almost 700 doors across the Metro Detroit area, including almost 100 S8 leases:Class A Properties:Cashflow vs Appreciation: Typically, 3-5 years for positive cashflow, but you get highest relative rent & value appreciation.Vacancy Est: Historically 10%, 5% the more recent norm.Tenant Pool: Majority will have FICO scores of 680+ (roughly 5% probability of default), zero evictions in last 7 years.Class B Properties:Cashflow vs Appreciation: Typically, decent amount of relative rent & value appreciation.Vacancy Est: Historically 10%, 5% should be applied only if proper research done to support.Tenant Pool: Majority will have FICO scores of 620-680 (around 10% probability of default), some blemishes, but should have no evictions in last 5 yearsClass C Properties:Cashflow vs Appreciation: Typically, high cashflow and at the lower end of relative rent & value appreciation.

I knew several that tried it, and were able to make decent money in 2021 and 2022, but none were able to scale into 10 houses a year and making enough money to make it worth their while. 

Of course, track record and conservative vs. aggressive underwriting/promotion play a role in the reality of what you're hearing from any syndicator. 

It also seemed like an appropriate name since GSP’s are energetic, aggressive hunting dogs just like us when it comes to hunting for great deals and aggressive asset management.

It seems like the court was quite aggressive on some of those notes.

I'm also in the process of exploring Terra Notes, but may just stick with Notion, Pipedrive, and Excel.I previously worked at a fund and Excel was used to globally track a decent portfolio (about $100m), to include limited depth loan pacing and management.

I would bet they are decent.

These properties often generated decent revenue but underperformed simply because they didn’t stand out visually.3.Natural Language Processing: They also trained an NLP model to review poorly written Airbnb descriptions.