Property valuation, portfolio tracking and market scenarios in one product
PropTrader AVM is a full-stack property intelligence platform. A user can start with an address, add property details, review an automated valuation and then track the asset alongside portfolio and market information.
01 / The problem
What the team needed to fix
Property investors often use separate sources for an estimated value, comparable listings, market news, portfolio performance and economic scenarios. That makes it difficult to understand why a valuation changed or how a broader market event could affect an asset.
The product needed to present a complex valuation workflow clearly while separating calculated data, external market information and AI-generated explanations.
02 / The build
How I approached the system
I built the product with Next.js, TypeScript and a Fastify backend. Supabase handles application data, while external property and market services provide valuation inputs and current context.
Vertex AI supports property intelligence and explanation features. The application also includes portfolio views, macroeconomic simulations, property news and downloadable appraisal reports.
03 / Capabilities
What the product does
Address-to-valuation flow
Users move from a property address and specifications to a structured valuation result.
Comparable context
Relevant property and market inputs support the valuation instead of presenting a number alone.
Portfolio tracking
Multiple properties can be viewed together in a consistent wealth dashboard.
Scenario simulation
Users can explore how macroeconomic assumptions may affect an asset.
Property news
Market information is organized around the investor's property interests.
Appraisal reports
Valuation details can be compiled into a downloadable PDF report.
04 / Workflow
How the workflow moves
- 01
Identify the property
Start with an address and confirm the asset specifications.
- 02
Compile valuation inputs
Gather property, comparable and market context through the backend.
- 03
Present the property passport
Show the value range, supporting information and explanation.
- 04
Track and test scenarios
Add the property to a portfolio or explore a market assumption.
05 / Product screens
Inside the project
Select a screen to inspect the interface, workflow and operational details more closely.
PropTrader AVM | AI Property Intelligence Platform product view 1
06 / What changed
The practical result
- The valuation journey connects the property estimate with the context used to understand it.
- Portfolio and scenario tools give the user a reason to return after the first valuation.
- The backend keeps AI explanation separate from the external property and market data sources.
Common questions
Useful context before a similar build
It combines property data, valuation logic and AI-assisted interpretation to help users explore an estimated value and the factors around it.
Yes. A valuation can become part of a wider product where users monitor several properties and review changes over time.
Yes. The application can format valuation inputs, assumptions and results into a downloadable appraisal document.
No. External property and market data provide the evidence. AI helps organize and explain that information inside the product experience.
Yes. Scenario controls can keep assumptions visible while showing how a change in rates, growth or another input affects the projection.
Yes. Users can add valuations to a portfolio and return to a shared view instead of treating every estimate as a disconnected search.
Work with me
Building a PropTech or valuation product?
I develop full-stack property tools that combine external data, clear user journeys and practical AI features.
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