Revenue intelligence platform · 2026
Averlen
Averlen brings property data, analytics, pricing workflows and AI-assisted insights into one multi-tenant product.
ROLE
Product design · Full-stack engineering
STACK
React · TypeScript · FastAPI · PostgreSQL · Redis · Docker
OUTCOME
Built the product end to end across data imports, analytics, pricing workflows, access control and AI-assisted insights.
PROBLEM
What needed solving
Revenue and operations data is often spread across files and tools, making it harder to understand performance quickly and make consistent pricing decisions.
APPROACH
How I approached it
I designed the product around a secure multi-tenant backend, structured data imports, analytics endpoints, pricing workflows and a frontend that keeps important actions close to the data.
ENGINEERING
Implementation highlights
KEY DECISIONS
Trade-offs and choices
Keep preview reads side-effect free
Pricing previews are separated from save/generate operations so exploration never creates history accidentally.
Enforce tenant boundaries centrally
Organization scope is applied at the backend boundary instead of relying on frontend filtering.
ENGINEERING SUMMARY
What this project is built on.
TECHNOLOGY
React · TypeScript · FastAPI · PostgreSQL · Redis · Docker
ROLE
Product design · Full-stack engineering
OUTCOME
Built the product end to end across data imports, analytics, pricing workflows, access control and AI-assisted insights.
NEXT PROJECT
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A backend-first reading platform with accounts, reading lists, reviews and administrative workflows.