Own Housing Policy Impact Analytics.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Brand positioning as credible housing policy analytics specialist
• ●Founder playbook with cold outreach sequences for planning directors
• ●Financial model, unit economics, and Year 1 projections
• ●Multi-tenant SaaS architecture and production-ready design specifications
• ●Curated target account list across 3,000 qualified buyers
• ●APA conference relationships and speaking engagement connections

What Roll Digital builds for you.

Custom scope to take Housing Policy Impact Analytics from MVP shell to operating business.

• ▸Production FastAPI backend with Postgres multi-tenant data infrastructure
• ▸Housing policy data ETL pipeline connecting 19,000+ jurisdictions
• ▸Impact analytics engine with defensible causal inference methodology
• ▸Stripe billing system supporting tiered enterprise pricing structure
• ▸Single sign-on authentication via email and Google OAuth
• ▸Custom domain provisioning with automatic SSL certificate management
• ▸Government procurement compliance documentation and RFP response templates
• ▸90-day customer success onboarding and implementation for pilots

Why this could work.

The TAM is substantial: 3,000 realistic buyers across planning departments, state housing agencies, think tanks, and developers all need credible impact analytics. The GTM motion works: conference presence and direct outreach to planning directors has proven traction. Enterprise buyers paying 8-15k annually creates real unit economics. Early wins with 2-3 closes per quarter could establish credibility and word-of-mouth momentum before the harder scaling problems emerge.

What you'd risk.

Government procurement cycles run 6-18 months, so you will exhaust cash before the first check clears. Serious buyers demand defensible causal inference methodology and academic validation, which could be prohibitively expensive. Housing data is fragmented across 19,000+ jurisdictions with no standard schema. Building national coverage is a data engineering marathon that will blow your budget before you sign 10 customers.

Who this fits.

You need deep housing or planning expertise: a former city planner, housing nonprofit executive, or developer with existing relationships in policy circles. Or a serial SaaS founder willing to learn enterprise government sales and endure 9-15 month procurement cycles. You need minimum 12-18 months of cash runway. This suits operators comfortable with enterprise complexity, long sales cycles, and policy expertise over consumer speed.

Timeline.

From contract signing to operating business.

1. Day 1
   Take ownership of brand, code, playbook, customer research
2. Week 1
   Deploy production infrastructure and plan first customer implementation
3. Week 3
   Launch refined website and begin cold outreach campaign
4. Week 6
   Target first pilot customer and begin data integration
5. Day 90
   Land 2-3 customers and validate core analytics methodology

Pricing.

Three ways in, depending on how much you want to build yourself.