414: 1300 Units in Real Estate Development at 30 years old with Evan Holladay
The harder the problem, the bigger the reward... and real estate developers who can solve affordable housing problems can do very, very well.
Enter today's guest, Evan Holladay, who reached 1,300 units before the age of 30 through a combination of focus, relationship-building, and a deep understanding of the rules of the game.
In this high-level episode, you'll learn how Evan and his team apply creative financing techniques to multimillion dollar projects; how they takes advantage of tax credits and grants and put together public-private partnerships; and why patience and persistence can lead to huge profits in the development game.
Whether you plan on getting into bigger deals in the future or not (Evan wants 100,000 units!), this episode will inspire you to start thinking like a big-time investor, strategist, and leader.
In This Episode We Cover:
- Listening to "what fires you up" when getting started
- Evan's apprenticeship for a student housing developer
- What a public-private partnership is
- Using tax credits to make a profit building affordable housing
- How he creatively finances big multifamily deals
- How he manages risk
- Why “it’s more valuable to control real estate than to own real estate”
- Why development is such a big opportunity in markets where "it's too expensive to invest where I live!"
- And SO much more!
Links from the Show
- BiggerPockets Forums
- BiggerPockets Shirt
- How to Invest In Real Estate With Only $1,000!?
- BiggerPockets Podcast 353: Turning $5K Into $5K/Month and Retiring at 40 with Tim Rhode
- LoopNet
Check the full show notes here: http://biggerpockets.com/show414
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.