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David J. Moore, MBA

President & CEO of YPN Inc. — Former Mortgage Consultant at Wells Fargo and JP Morgan Chase.

DJM
MBA, Fresno State25+ Years Experience3 Published Books1,000+ Loans ClosedWells Fargo AlumniJP Morgan Chase AlumniDRE 01852847

The Story Behind ToInvested

David J. Moore spent 25 years at the intersection of real estate and finance — first as a mortgage consultant closing over 1,000 loans at Wells Fargo and JP Morgan Chase, then as a real estate investor and educator who watched countless investors leave money on the table because they didn't have access to institutional-grade analysis tools.

Why ToInvested Exists

The frameworks that build generational wealth have always existed — cap rate analysis, DSCR modeling, BRRRR cycling, exit strategy planning. What changed is who has access to them. ToInvested democratizes the same analysis that banks and institutional investors run internally, making it available to every serious investor at no cost to start.

25 Years of Real Deal Experience

David doesn't teach from textbooks. Every tool, every metric, every verdict framework on ToInvested comes from real deals — loans that were approved or rejected, properties that cash-flowed or hemorrhaged, flips that succeeded or failed. That 25 years of pattern recognition is what powers the AI analysis engine.

The Books

David has authored 3 books on real estate investing and AI — available on Amazon. Each one covers practical investment strategy, AI applications in real estate analysis, and wealth-building frameworks for modern investors.

Timeline

  1. 1999–2010Institutional lending. Mortgage consulting at Wells Fargo and JP Morgan Chase — 1,000+ loans closed and deep exposure to underwriting standards.
  2. 2010–2020Investor & operator. Expanded into real estate investing, portfolio strategy, and client education across residential and small multifamily.
  3. 2020–todayToInvested & AI tools. Building public analyzers so individual investors can access the same quality of screening that institutions use internally.

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