PropThesis
Data-driven Real estate Intelligence
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Danish Iftikhar

PropThesis - Data-driven Real estate Intelligence

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PropThesis combines short-term rental data (Airbnb / STR), long-term rental data, property-for-sale data, and geospatial signals to forecast what a property is worth and how much income it can generate under different strategies.

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Danish Iftikhar
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PropThesis helps answer high-value investment questions such as: • Is it better to invest in Dubai or New York? • Should this property be operated as an Airbnb or a long-term rental? • What is this property likely worth, and what revenue can it generate? • How will major events or infrastructure changes affect rents, prices, and yields in a market? The platform is designed for real estate agents, individual investors, STR operators, boutique funds, family offices, and institutional players who need reliable, forward-looking intelligence before deploying capital. Today, PropThesis allows users to: • Explore whole-market overviews • Understand average STR, LTR, and sale performance • View map-based market intelligence • Input their own property details and receive predicted sale value, long-term rental revenue, and short-term rental revenue