What's great about it is that all the data is based on their service departments actually repair numbers, which usually number over 30k service calls a year.Yale Appliance is based in the greater Boston area.

@Jorge Vazquez data is always better than "educated guesses".But, perception is often more powerful than reality:(

A manager with a presence in your immediate neighborhood has local vendor relationships, accurate insight into hyper-local demand data, and can swiftly handle neighbor complaints or emergency access issues.How do you determine nightly rental amount?

We started by automating our KPIs, especially tasks like data entry, since those were repetitive and time-consuming.

I was able to get an excel ready spreadsheet created with all the applicable tabs necessary for a Lender submissio, but still required a lot of manual data entry.

How do I use data to identify which agents have sold the most new build homes in Orlando area?

.- Rent roll for each property that shows obvious rent roll data including delinquencies, upcoming escalations, vacancies, etc.I'm just in shock that there is nothing like Hubspot or Salesforce or something easy to customize and navigate for commercial non-residential properties that allows for accounting and light property management. 

I’d be curious to hear your perspective on where you see the biggest opportunities for ADUs right now — policy shifts, design innovation, or investor adoption?

Yeah, I've tried some of those tools - SEMrush/SpyFu are great for digital marketing but not really designed for real estate market research specifically.The gap I'm seeing is that most tools focus on one piece:- Rentometer → rental comps only- NeighborhoodScout → crime/demographics only- AirDNA → just Airbnb data- City-Data → outdated forumsSo you end up with like 8 browser tabs open trying to piece everything together 😅What I'm really looking for (and maybe others here too) is something purpose-built for real estate investors that shows:✅ Actual rental demand (not just comps, but vacancy rates, days on market)✅ Section 8 voucher availability by area (huge pain point for me)✅ Local landlord regulations that could kill a deal✅ Neighborhood trajectory (improving vs declining)✅ All in one place, specific to the address I'm analyzingCurious - for those doing multiple deals per month, what's your process?

That realtor will never know the data at the level that STR Search does, but they are part of the process.