Did having access to multiple lending options improve outcomes, or did you prefer dealing with one lender directly? 

Systems for bookkeeping, tracking expenses, handling security deposits, and deciding when something is a repair vs a capital improvement.

Less supply paired with improving affordability is typically how momentum quietly starts rebuilding.At the same time, AI-driven data center growth is projected to support up to 1.3 million U.S. jobs by 2032.

For larger improvements, the biggest mistake I see is treating capital planning as a project-by-project decision instead of an operating system.A few principles that have worked well across multi-property portfolios:1.

Common mistakes I see include incorrect basis calculations, missing or misclassified expenses like insurance, property taxes, and mortgage interest, and confusion between repairs and capital improvements.

Quote from @Vladimir Lukyanov: So the workflow that I'm reading on the forums is this:1.

It's more of an economic and deployment (including latency & power) issue currently.The biggest ROI for investors using AI today is answering 100% of inbound leads live, following up automatically (and relentlessly), and with a centralized platform - a continuous improvement loop.

We currently use PriceLabs for STR dynamic pricing and spreadsheets for LTR tracking.If one system can manage both STR + LTR (leases, rent collection, maintenance tracking, reporting), that’s ideal — but we’re open to an STR-first PMS and keeping LTRs in a dedicated LTR tool if the “all-in-one” compromises the STR workflow.

Once you clean up the workflow, adding units feels the same whether you own 5 or 25.

Clear communication.When guests know:• exact pricing• what’s included• minimum stay expectations…bookings move faster.What’s one thing you clarified in your listing that improved conversions?