Company profile · 2 min read
Smart Bricks: Deal discovery, underwriting and portfolio agents
Deal, underwriting, execution and portfolio agents for real-estate investment teams, including a 1,000+ variable underwriting claim.
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
Published · Updated
Smart Bricks: Deal discovery, underwriting and portfolio agents
Smart Bricks describes a full-stack AI real-estate investment engine with three distinct jobs. Deal agents scan markets, surface opportunities, and initiate underwriting. Underwriting agents model more than 1,000 variables for an investment opportunity. Execution agents automate diligence, documentation, transaction coordination, and capital deployment. Portfolio agents monitor performance, macro shifts, and exit signals.
The buyer is a real-estate investment team deciding which parts of its process can be delegated. Start with one property record and make the handoff visible: which source records feed the variables, who reviews the underwriting, and what happens when a listing or valuation conflicts with the team’s own data. The public page also says the platform can use listing APIs, market-data providers, mortgage brokers, agents, and public real-estate databases; those inputs create a concrete provenance question.
Smart Bricks reports that it has tripled ROI for retail and institutional customers and describes a $5M pre-seed round led by a16z Speedrun. Those are company-page claims, not independent investment results. The privacy page describes account details, property preferences, saved searches, portfolio data, uploaded documents, and third-party property data. A buyer should understand those boundaries before connecting a live portfolio.
Quick facts
| Field | Sourced detail |
|---|---|
| Buyer | Real-estate investment teams evaluating deals, underwriting and portfolio decisions |
| Workflow | Market scan → underwriting across 1,000+ variables → diligence/transaction work → portfolio monitoring |
| Data boundary | Public policy names property, portfolio, uploaded-document and third-party market data categories |
| Evidence boundary | ROI, funding and customer claims are attributed company copy; no investment outcome is independently verified |
Sources checked
official Speedrun profile · product page · privacy policy
Sources checked — September 20, 2026.
About the author
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.
First1000 ↗ · X ↗