THE DUPLEX LOOP BLOG:

Jan 2026

by Joshua Cushner

Housing Purchase Credit (HPC) Clearinghouse System


The Housing Purchase Credit (HPC) Clearinghouse is a proposed financial infrastructure platform that enables renters to build portable homeownership savings through matched contributions from philanthropic funds and participating landlords. Unlike traditional rent-to-own programs, HPCs are escrowed funds (1 HPC = $1) held by regulated custodians and usable only at home purchase closing—preventing speculation while creating real pathways to ownership. All participants can recoup their contributions if the renters opt-out.


Problem Statement


California's affordability crisis has reached critical mass, with renter households unable to accumulate down payments despite stable incomes. The Building a Better California initiative has allocated significant philanthropic capital (targeting over $30bn) specifically for housing solutions. Without immediate infrastructure, this capital will either sit idle or flow into less efficient interventions. The political window for private-led solutions (before government mandates) is narrow.


Target Audience


Primary: Rent-burdened households with stable income (especially $50K-$100K range) who can sustain $300-$500/month savings but lack down payment capital.




Secondary Beneficiaries: Landlords seeking retention incentives and tax advantages; philanthropic funds requiring measurable housing impact; state/local governments seeking private-led affordability solutions.


Potential Impact


Target conversion rate: 40% (vs. <5% for traditional rent-to-own)




Without this solution, renters remain trapped in wealth-extraction cycles, philanthropic capital generates minimal measurable outcomes, and California's homeownership gap widens.


Opportunity


Based on the proposed pilot model (10,000 renters, $4,800 average annual match, 40% conversion rate):

  • Annual capital deployment: $48M

  • Projected homebuyers: 4,000 over program lifecycle

  • Capital recycling: $60M through shared appreciation returns


Sustainable Infrastructure: Shared appreciation recycling creates semi-permanent capital, reducing dependency on continuous philanthropic inflows.




Multi-Stakeholder ROI: Landlords gain tax credits exceeding contributions; lenders access pre-qualified borrowers; government achieves housing goals without budget allocation.




Political Advantage: Solves affordability without forcing existing home price collapse—making it coalition-friendly across property owner and renter constituencies.




Scalability: Once proven in pilot markets (3 cities, 20 landlords, 500 renters), the clearinghouse model can expand statewide with minimal marginal cost.


Stakeholder Obstacles (Challenges)


Renter Barriers: Distrust of predatory rent-to-own schemes, irregular income patterns, fear of losing accumulated credits, and psychological distance from homeownership prevent wealth building.




Landlord Resistance: Property owners lack incentive to subsidize tenant departures and fear administrative burden and regulatory creep.




Capital Inefficiency: Philanthropic housing capital lacks mechanisms for measurable impact, capital recycling, and protection against market distortion.




System Fragmentation: No standardized, transferable credit system exists to coordinate between renters, landlords, lenders, and capital providers.


Risks


Fraud Exposure: Identity fraud, income misrepresentation, and landlord-renter collusion could drain resources.

  • Mitigation: KYC/AML protocols, biometric verification, transaction monitoring, severe penalties.




Price Inflation: Demand subsidy without supply controls could bid up home prices.

  • Mitigation: Supply-tied match eligibility (new construction/ADUs only) or shared appreciation models (fund receives 25-40% of appreciation on matched portion).




Speculation Risk: HPCs could become tradeable financial instruments.

  • Mitigation: No cash redemption, no secondary market, credits expire after 8-10 years unused, redemption only through approved closing agents.




Regulatory Classification: HPC structure could be deemed banking activity.

  • Mitigation: Clearinghouse never touches money; regulated custodian holds all funds; statutory safe harbor provisions.




Low Conversion Rates: Enrollment without homeownership outcomes undermines credibility.

  • Mitigation: Financial coaching programs, mortgage pre-qualification at 18-24 months, portable credits across properties.


Definition of READY


  1. Legal entity structure established (nonprofit clearinghouse + regulated custodian partnership)


  1. Technology platform operational: ledger system, custodian API integration, lender portal, identity/KYC


  1. Pilot program executed: 500 renters enrolled, 20 participating landlords, 2 approved lenders, 3 California cities


  1. First cohort reaches 18-month milestone with verified savings accumulation


  1. Minimum 35% mortgage pre-qualification rate among pilot participants


  1. Zero critical fraud incidents or regulatory violations


  1. Capital recycling mechanism proven through first 20 home purchases with shared appreciation


Success Metrics / OKRs


GOAL 1: Demonstrate Viable Conversion Funnel

KR1: 500 renters enrolled and actively contributing within 6 months

KR2: 35% conversion to homeownership within 36 months of enrollment

KR3: <2% program dropout rate due to dissatisfaction


GOAL 2: Prove Capital Efficiency

KR1: $48M philanthropic capital deployed to 10,000 accounts

KR2: $60M capital recycled through shared appreciation within 8 years

KR3: Average HPC balance at conversion: $32,000+


GOAL 3: Establish Multi-Stakeholder Value

KR1: 20 landlords maintain participation >24 months (retention indicator)

KR2: 2 lenders report lower default rates vs. non-HPC borrowers

KR3: Zero price inflation complaints from homeowner constituencies


GOAL 4: Scale Foundation

KR1: Technology platform handles 10,000 accounts with <0.1% error rate

KR2: Regulatory approvals secured for statewide expansion

KR3: 3 additional metros express formal interest based on pilot results