← back to housing-policy-impact-analytics
Financial analysis · adoption-ready estimate
Housing Policy Impact Analytics
If an entrepreneur "adopted" this product today, here's the realistic math.
Fermi summary
Close 20 planning agencies at $8.5k/yr and you hit $170k ARR - but government sales cycles mean you'll burn $70k+ before cash arrives, and there's only a 9% chance you thread that needle in year 1.
Market size (TAM)
$18.0M
~3,000 realistic buyers (1,000 city/county planning depts with budgets, 400 state housing agencies, 600 think tanks/housing nonprofits, 1,000 mid-large residential developers tracking zoning risk) × $6k avg annual contract
Year-1 ARR range
$40k - $620k
midpoint $175k
Investment to production
$72k
Dev: $26k for data pipelines, multi-jurisdiction policy DB integrations, dashboard UI, auth/billing. Data: $16k to license or scrape housing
Probability of success
9%
P(reaching mid case in 12 months)
Expected take-home Y1
$-58700
probability-weighted, after investment
Go-to-market motion
Conference presence at American Planning Association annual + cold outbound to city planning directors and state housing finance agencies → 9-15 month procurement cycles → 2-3 enterprise closes per quarter at $8-15k avg contract.
Key risks
- Government procurement cycles run 6-18 months - you'll exhaust cash before the first check clears, making survival a bigger problem than product-market fit
- Credible 'impact analytics' requires defensible causal inference methodology, not just charts - serious buyers (state agencies, think tanks) will challenge your models and may require academic validation or third-party audits you can't afford
- Housing policy 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've sold to 10 customers
Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.