LEARN HOW I ANALYZE IF A PROPERTY WILL WORK AS A STR 🔥 https://strlikethebest.com/strlitmustest?utm_source=pod

You're about to wire $150K for a down payment based on a revenue projection. But three different platforms just gave you three different numbers. Which one is real?

In this episode, Michael sits down with Jae Seok An, founder of AirBtics and former Meta software developer, to pull back the curtain on how short-term rental data actually gets built and more importantly, how to know if the numbers you're betting your money on are accurate or fantasy.

We break down:

• The review-matching verification method that reveals when a property claiming 80% occupancy only has two reviews (the simple check sophisticated investors use before trusting any data)
• Why scraped data can actually be more comprehensive than first-party PMS data, and the real tradeoffs between accuracy and coverage that most investors don't understand
• How 36 months of historical data reveals seasonality issues and bad comps that annual snapshots completely miss (this is why monthly breakdowns matter more than you think)
• The technical truth behind how platforms collect, process, and present your numbers, from data scrapers to cleaning algorithms to the alerts that catch when things go wrong
• Why averaging three different data points guarantees you the wrong answer, and what to do instead when platforms give conflicting projections

Data confidence is the difference between taking action on great deals and second-guessing yourself into paralysis. When you understand how the numbers actually get made, you can finally trust your analysis enough to pull the trigger.

LEARN MY STR INVESTING & STRATEGIES 🔥 https://strlikethebest.com/wealthpod

Apply to work with Michael: https://strlikethebest.com/applypod

Follow Michael on Instagram: https://www.instagram.com/michaelchangbnb