How to Find Real Estate Deals Faster Using Data 99% of People Ignore
Real Estate Rookie
Deep Dive
Why did Ariel Herrera decide to invest in real estate?
Ariel decided to invest in real estate after realizing she didn't want to continue commuting and working full-time in New York City. She wanted financial freedom and more time with her family. Real estate stood out among other options like starting an Amazon business or day trading because it had a proven track record and required fewer resources.
What tools does Ariel recommend for analyzing real estate deals without coding?
Ariel recommends tools like Browse AI, Apify, ChatGPT, and Google Bard for analyzing real estate deals without coding. These tools can automate data collection, analyze large datasets, and provide insights into market trends, making it easier for investors to make informed decisions.
How did Ariel use data science to find her first property in New Jersey?
Ariel used data science to analyze properties by comparing square footage to bedroom counts. She asked her agent for a spreadsheet of MLS listings and calculated the ratio of square footage to bedrooms to identify properties with potential for additional bedrooms. This method helped her find a property with an extra room, which she later converted into a bedroom.
What strategy did Ariel use to house hack her first property?
Ariel house hacked her first property by living in it with her partner and a family member. She paid only $600 of the $1,800 mortgage, allowing her to save money for her next deal. This strategy helped her reduce living expenses and build equity in the property.
How did Ariel find a discounted duplex in Detroit?
Ariel used web scraping to collect data on properties in Detroit. She discovered a property listed as a single-family home but actually a duplex, priced $25,000 lower than similar properties. By analyzing the data, she identified the mislisting and secured the property at a discount.
What is Zapier, and how did Ariel use it in her real estate business?
Zapier is a tool that automates workflows between apps. Ariel used it to streamline her deal analysis process by setting up a system where Zillow notifications triggered automatic cash flow calculations. If a property met her criteria, she received a text message, allowing her to act quickly on potential deals.
Why did Ariel choose Playa del Carmen for her international investment?
Ariel chose Playa del Carmen because it was an expat hub with a growing market. She analyzed factors like proximity to Cancun’s airport, low cost of living, and remote work trends. She also ensured the developer had a solid track record to minimize risks associated with international investments.
What is Ariel’s favorite deal in her portfolio?
Ariel’s favorite deal is her property in Tampa, Florida, in the Seminole Heights area. She purchased it for $274,000, put 5% down, and house hacked it. After renting it out, she achieved a cash flow of about $700 per month. The property also appreciated significantly, allowing her to leverage its equity for future investments.
How did Ariel finance her Playa del Carmen property?
Ariel financed her Playa del Carmen property by using a down payment from her 401(k) and a HELOC (Home Equity Line of Credit) on her Tampa property. The HELOC allowed her to cover the remaining $100,000 needed for the deal, which she later paid off using rental income from the condo.
What is Ariel’s advice for rookie investors?
Ariel advises rookie investors to be data-driven and use readily available tools like ChatGPT, Redfin, and Zillow to analyze markets and properties. She emphasizes the importance of leveraging technology to make informed decisions and avoid randomly selecting properties without proper analysis.
- Data-driven approach to real estate investing provides a competitive edge.
- Leveraging data is easier than most people think and requires no coding.
- The episode introduces Ariel Herrera, a data scientist and real estate investor.
Shownotes Transcript