Projects

ZapCRE

AI offering memorandums for commercial real estate

Role
Sole founder
Market
Commercial real estate
Outcome
~$150K ARR in 3 months
System
LangGraph document agents
ZapCRE offering memorandum editor and AI assistant

I founded ZapCRE after paid consulting and engineering work for CRE brokerages revealed a recurring problem: producing offering memorandums from scattered deal materials. I built memo.estate as the MVP, then developed it into ZapCRE.

What I built

I built a LangGraph agent system that turned commercial real estate source files into full offering memorandum decks in 20 to 30 minutes. The product brings document generation and an editable deck into the same workflow; the screenshot shows the assistant adding an amenity map to an existing OM.

Model testing and fine-tuning

I used H100 compute nodes through UT Dallas and the UT System to test supervised fine-tuning datasets and run fine-tuning experiments for ZapCRE.

Outcome

Zapcre reached enterprise customers and roughly $150K ARR within three months of launch. The product grew out of memo.estate, the initial MVP shown below.

Henry.ai, a YC-backed company, explored an acquihire of ZapCRE. The deal did not close.

memo.estate

The original MVP

Role
Founder
Product
Initial Zapcre MVP
Promise
Professional OMs in minutes
Evolution
Became Zapcre
memo.estate product screenshot

memo.estate was the first version of the product. It focused on a direct promise: turn the spreadsheet, PDF, property details, and images a broker already has into a professional offering memorandum without rebuilding the document by hand.

The MVP established the workflow Zapcre later expanded: ingest the deal materials, generate the written and visual building blocks, preserve a brokerage's brand, and leave room for a person to make final edits. It was the first tangible answer to the recurring pain point I had found through client work.

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