Web interface & access
Blazor with Radzen supports the web interface. Identity Server 4 and OAuth are part of the access stack.
Projects / Home discovery
Rila
Property recommendations, local knowledge and direct conversations.
Rila combines property recommendations with a community feed and a map of nearby listings. Buyers can mark a home as a fit, read the contributor’s perspective and discuss the property before making contact.
Three ways to explore: recommendations, posts and a map.
Find your vibe
AI Vibe Match presents a suggested home with a match indicator, price, and bedroom and bathroom counts. The user can dismiss it or choose Fits Me; these reactions contribute to preference-based recommendations.
A place to call home
The feed pairs property photos, location, price, and bedroom and bathroom counts with the contributor’s post. Community and Following views offer different ways to browse, with reactions and sharing on each card.
Nearby map
Nearby listings and active contributors share the map view, connecting the property search with people in the area.
Questions stay with the property under consideration.
Phone-based access to the community.
Technology stack
The technology behind Rila.
The web interface, application services, data stores and delivery tools recorded for the project.
Application services
C# and ASP.NET Core 3.1 provide application services, with Entity Framework Core for data access.
Application data stores
PostgreSQL, DynamoDB and Neo4j make up the project’s database stack.
Infrastructure & delivery
AWS supports the cloud infrastructure. GitHub Actions and Jenkins support the delivery workflow.
Your discovery experience
What helps your customer recognise the right fit?
We can bring recommendations, local context and conversations into one product journey. Start with the choices your users make and the questions they ask before contacting you.
Discuss a discovery platform