Breaking New Ground - Conversations with entrepreneurs who are innovating and redefining real estate
In this episode of Breaking New Ground I sit down with Lillian Chen [https://www.linkedin.com/in/lilianchen-re/], founder of Proptimal [https://proptimal.com/] and one of the most thoughtful minds working across real estate, financial analysis, and technology. Lillian’s path from grinding through underwriting to learning how to build software offers a rare look at how modern analysts are developed and why capacity and clarity matter as much as technical skill. We dig into the realities of financial modeling and why analyst work is so difficult to scale. Lillian describes the challenges of training teams, the limits of templates, and the importance of judgment when translating assumptions into sound underwriting. She also shares how her real-world experience shaped the creation of Proptimal and why small and midsize developers need access to better data, better tools, and higher quality analysis. What stood out most is Lillian’s approach to AI. She explains how AI can expand productivity, improve workflows, and give analysts more mental bandwidth, but only when it is paired with responsible use and a strong foundation in financial principles. For her, technology is a force that strengthens good thinking rather than replacing it. Whether you are an analyst, developer, operator, or anyone curious about how real estate and technology are converging, this episode offers a practical and forward-looking perspective on how smarter tools and stronger workflows can elevate the entire industry. Key Takeaways * Proptimal was created to bring better financial analysis to real estate professionals who often don’t have analyst teams behind them. * Becoming a strong analyst requires persistence, real-world reps, and navigating complexity. * Training analysts is difficult because underwriting isn’t plug-and-play—templates alone don’t cut it. * AI can streamline repetitive processes and expand analyst capacity. * Financial modeling tools can democratize knowledge and increase access to institutional-quality insights. * Learning to code helps bridge the gap between analysis and scalable software. * AI can accelerate both underwriting and software development when used intentionally. * Mental bandwidth is one of the most important variables in good decision-making. * Responsible AI use requires understanding limits, risks, and ethical considerations. * Closing the information gap empowers small developers with better financial modeling, clearer assumptions, and stronger deals. 00:00 Introduction to Proptimal and Lillian Chen 02:55 Lillian’s Journey in Real Estate 05:57 Challenges in Training Analysts 08:45 The Role of AI in Financial Modeling 11:59 Building a Financial Modeling Tool 14:44 Learning to Code and Building Software 17:46 Using AI for Software Development 20:38 Strategizing Technology Transformation 24:17 Defining Roles in AI Interactions 25:30 Establishing Clear Objectives for AI Engagement 27:53 Utilizing AI for In-Depth Research 30:14 Learning and Adapting to AI in Workflows 32:01 The Dual Nature of AI: Enhancing or Diminishing Intelligence 34:20 Ethics and Personal Growth Through AI 36:04 Proptimal: Bridging the Gap in Real Estate Analysis 39:23 Understanding the Market Needs of Small Developers Show Notes & Links Listen now on Spotify, Youtube, or Apple Proptimal: proptimal.com [https://proptimal.com/] Guest: Lilian Chen, Founder & CEO of Proptimal Connect: Lilian Chen on LinkedIn [https://www.linkedin.com/in/lilianchen-re/]
31 jaksot
Kommentit
0Ole ensimmäinen kommentoija
Rekisteröidy nyt ja liity Breaking New Ground - Conversations with entrepreneurs who are innovating and redefining real estate-yhteisöön!