Real estate investing comes with inherent risks, from lawsuits to creditor claims, and without the right legal protections in place, both your personal and business assets could be exposed.

However, the lender is including her payment on the property she sold, because the loan is still in her name.

Because rural areas are inherently low density, there are fewer sales comparables for an appraiser to use to justify value. 

Serious inquires only.”So, assuming this is the venture the OP is referring to in her post, we can see this is NOT the normal beginner investment we usually see or hear about. 

A 2018 paper published by Harvard Business School using Yelp, Zillow, and Census data has mathematically shown something we all inherently know: The number of new Starbucks, grocery stores, cafes, bars, and restaurants do have an impact on house prices or the number of college-educated people living in an area (correlation and impact vary by city and variable).The converse also appears to be true.

Real estate investing comes with inherent risks.

Personal goals, local market dynamics, and lifestyle needs all play a huge role.

As you start to put together your investing plan, one of the most important steps you can take is establishing a strong, proactive asset protection strategy.Real estate investing offers great potential, but it also carries inherent risks: from lawsuits and liability claims, to unforeseen creditor issues.

She may not know how to make Schedule E losses deductible in her software, because by default tax software would block such losses.

I'd love to hear from anyone — agents, investors, SaaS founders — especially if you've felt this pain.Thanks in advance 🙏— EduardoThis concept sounds great in theory — but in practice, it runs into a major challenge that anyone experienced in real estate understands:Garbage in = garbage out.Most AI or automated underwriting tools are only as reliable as the data sources feeding them, and in real estate, that data can be wildly inconsistent.Examples:Condition estimates are often pulled from outdated MLS photos or missing entirelyComps can be skewed if the tool doesn’t account for school districts, zoning, or lot irregularitiesRent estimates rarely reflect real market dynamics like concessions, vacancies, or neighborhood turnoverTax data might miss special assessments or upcoming increasesI’ve been in this space long enough to see how fast an “automated ROI calculator” can lead someone to buy the wrong deal — or miss a great one — simply because the data behind it lacked local nuance.That said, I love the idea of reducing the fragmentation between tools.