Homelike

When Homelike first turned to us, their primary need was straightforward: help them collect and manage apartment listings from 3rd-party providers to quickly expand their list of properties. Their internal product team had already built a working platform, and our team focused solely on delivering new features and services like a feed processor and external API.

At the early stage, most of the platform’s logic lived in a Feathers.js-based monolith. It had served them well during their startup phase, but as the company scaled, the setup’s limitations became apparent, from performance bottlenecks to issues with system stability during peak traffic. Our job was to help with specific areas of development and gradually transfer certain features into microservices by redesigning their structure, including parts of the payment flow and search functionality.

Over time, our responsibilities evolved far beyond the initial scope. We handled technical challenges like redesigning their payment system, building new microservices on top of a modern architecture, improving search performance and enhancing infrastructure scalability. At the same time, we worked closely with Homelike’s internal developers and product stakeholders to align with their priorities, co-own features, and participate in regular hackathons to explore new ideas.

Not all challenges were technical. Supporting a live B2B platform with multi-region coverage and high user expectations meant navigating trade-offs, balancing speed and quality, and keeping the product stable while handling changes continuously.

• Overcoming limitations of a legacy monolith: The platform was initially built as a Feathers.js monolith, which had become increasingly rigid and hard to scale. Our task was to gradually transfer new functionality into modern, modular microservices without disrupting ongoing operations.
• Scaling data integrations for business growth:Homelike needed to rapidly expand its apartment listings by integrating with dozens of third-party providers. To support this, our team had to build a system of feed processors and data pipelines that collect, standardize and sync large volumes of external data in real time, with minimal manual intervention.
• Modernizing their payment infrastructure: As Homelike expanded, it needed to support location-specific payment methods and handle complex pricing logic. Our task was to rebuild the payment system as a standalone service and integrate providers like Klarna, iDEAL and SEPA. We also had to integrate Stripe’s subscription system to support a more scalable monetization model and introduce support for dynamic fee adjustments without disrupting booking flow.
• Maintaining reliability at scale: With growing traffic and new microservices in place, the platform needed stronger infrastructure. Our task was to manage AWS resources using Terraform, improve monitoring and alerting, stabilize Kubernetes clusters and introduce CI/CD pipelines to ensure reliable deployments.
• Improving frontend usability and search experience: As Homelike`s feature set grew, their platform needed a more intuitive and responsive user interface to support both end users and internal teams. Our task was to contribute to frontend development across several key areas — from building new dashboard components and refining the search page layout to improving map interactions, filter behavior, and overall usability.