AWS architecture for a homesharing app with listings, search, applications, messaging, reviews, saved rooms, and renter ...
AWS architecture for a homesharing app with listings, search, applications, messaging, reviews, saved rooms, and renter education badges. Uses ALB/EC2, API/Lambda, RDS/DynamoDB, S3, and OpenSearch.
"Build a homesharing platform connecting homeowners with renters" Create a platform for a city that matches homeowners who have spare rooms with vetted renters: Core Features: Listings: Homeowners create room listings with photos, amenities, house rules, and pricing Search & Browse: Renters can browse available rooms with filters (price, location, amenities) Applications: Renters apply to listings; homeowners review and accept/reject Messaging: In-app messaging between homeowners and renters Reviews: Mutual rating system after completed stays (1-5 stars) Saved Listings: Renters can bookmark rooms they're interested in Education Pipeline: 4 learning modules (Financial Basics, Credit Building, Renter Responsibilities, Housing Readiness) Progress tracking with completion badges displayed on profiles Badge count shown on applications so homeowners see renter preparedness User Types: Homeowners: List rooms, review applications, message renters Renters: Browse listings, apply, complete education modules, leave reviews
Our Team Yellow presented a home sharing platform during the Launchathon in Stamford, CT, in January 2026. The pitch concept secured second place at the Launchathon. This is an AWS representation of such a platform.
3 months ago
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about 2 months ago
I appreciate the effort put into designing the homesharing platform architecture, but I have significant concerns regarding the reliance on multiple database instances for various services. Specifically, using both RDS and multiple DynamoDB tables could lead to data consistency issues, especially with features like messaging and saved listings.
Kevin Brown
@mathsociety
Expert cloud architect with 463 multi-cloud infrastructure deployments across AWS, Azure, GCP, and OCI, leveraging 12 distinct technologies to design and deploy robust architectures. Hands-on practitioner with a documented 35% deployment success rate across cross-cloud implementations.
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