Investing In The U.S. podcast

RG 340 - Predicting When Houses Go for Sale: A Data-Driven Real Estate Crystal Ball? – w/ Paul Wakim

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Have you ever come across a property you want to buy and wondered when (if ever) it will go up for sale? What if you can actually predict when the homeowner is going to sell? Sounds impossible, but Paul Wakim of TwnSqr proves otherwise. Paul Wakim is the Co-Founder and CEO of TwnSqr, a real estate technology startup dedicated to breaking barriers in the real estate industry by helping sellers and investors gain full control over their connections. An entrepreneur by heart, Paul started by selling sneakers in college before moving to real estate investing and photography. Paul created a unique algorithm that can predict when people will sell their properties (with 95% accuracy!). What data does this technology use? Why is it a marketplace and an investor network? And how does it help investors find the best deals? We’re thrilled to have the opportunity to go into the nuts and bolts of this innovative startup with Paul. KEY TAKEAWAYS 1. While not always necessary, going to college or university can teach you the soft skills you need as a business owner. 2. A strong network can be just as crucial as having many sellers to choose from. 3. Building a SaaS product is all about marketing. 4. Knowing when to pivot can help prevent a business’s failure. 5. Selling single-family properties that are good MLS candidates off-market is a frontier relatively untouched by technology. LINKS https://www.linkedin.com/in/paul-twnsqr/ https://www.twnsqr.com/ INVESTMENT OPPORTUNITIES Want to invest alongside Reed? All investments are 100% PASSIVE. Historical returns to accredited investors have ranged 18-31% annualized! To find out more, head on over to… www.reedgoossens.com

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