Case study
Rento
A multilingual long-term rental platform for discovering homes, saving favorites and requesting property viewings in Galați.
- Type
- Rental platform
- Location
- Galați, Romania
- Production URL
- rentonow.ro (opens in a new tab)
Full_Dev scope
Full_Dev handled the full development cycle for Rento, including UX/UI, frontend, backend, database and deployment.
- UX / UI
- Frontend
- Backend
- Database
- Deployment
Product
Context and delivered system
Product goal
The goal was to create a dedicated long-term rental platform for Romania, starting with Galați, where renters could discover properties, save favorites and request viewings, while realtors could manage listings and inquiries.
Delivered product
Rento delivers multilingual rental discovery with search and filtering, property detail pages, user accounts and favorites, structured viewing requests, listing-agent contact, realtor workspace tools and administrative functionality.
Full_Dev role
Development scope
- UX / UI
- Frontend
- Backend
- Database
- Deployment
AI-assisted development tools were used as part of the implementation workflow alongside conventional engineering practices.
Product experience
Platform functionality
Renters
01
Property discovery
Browse available long-term rentals with photos, monthly rent, room count and verification status.
02
Search and filters
Filter listings by city, price range and room count to narrow available properties.
03
Property details
Dedicated detail pages with image galleries, listing information, location context and similar rentals.
04
Accounts and favorites
Email and password registration, login, and saved favorites for signed-in users.
05
Viewing requests
Structured viewing-request flow from property detail pages to listing realtors.
Realtors and platform
06
Realtor workspace
Workspace for realtors to manage listings and incoming inquiries.
07
Admin panel
Administrative functionality for platform operations.
08
Multilingual interface
Public browsing in English, Romanian and Russian.
UX / UI
Interface scope
UX/UI and product flows were developed as part of the project, including housing search, property cards, realtor workspace and admin panel interfaces.
- Housing search and listing browse flows
- Scannable property cards with rent, rooms and verification status
- Property detail layout with gallery and inquiry actions
- Separate renter and realtor interaction paths
- Realtor workspace and admin panel interfaces
Engineering
Confirmed stack
- Frontend
- Next.js
- Backend
- Python · FastAPI · SQLAlchemy 2 · Pydantic v2 · Alembic
- Database
- PostgreSQL 16
- Deployment
- Docker Compose · Nginx · Cloudflare · Hetzner VPS
Architecture
Engineering overview
The production stack separates the Next.js frontend from a FastAPI backend. PostgreSQL stores application data. Alembic manages database migrations. SQLAlchemy 2 provides ORM access. Pydantic v2 handles application schemas and validation.
Services run on a Hetzner VPS under Docker Compose orchestration. Next.js and FastAPI run as separate application services — not in the same process.
Production architecture layers
Cloudflare
Network and edge
Nginx
Reverse proxy
Next.js
Frontend application
FastAPI
Backend API
PostgreSQL 16
Database
Interface views
Additional product screens
Production
Delivery layer
Production runs on a Hetzner VPS with Docker Compose, Nginx as reverse proxy and Cloudflare at the network edge. The live domain is https://rentonow.ro.
- Host
- Hetzner VPS
- Orchestration
- Docker Compose
- Reverse proxy
- Nginx
- Network edge
- Cloudflare
- Live domain
- rentonow.ro (opens in a new tab)
Delivered system
Implementation summary
A production multilingual rental platform is live at rentonow.ro, with renter and realtor workflows, listings, favorites, viewing requests, administrative functionality and a production deployment on Hetzner infrastructure.
Next step
Built end-to-end.
Visit the live platform or discuss a similar product with Full_Dev.