CelerSearch
Managed Meilisearch cloud for custom apps, websites, and CMS platforms.

A cloud platform for provisioning and operating managed Meilisearch instances. Connect custom applications and CMS platforms through the standard API, with ready-made integrations where available.
CelerSearch is a managed search cloud built around Meilisearch instances. It gives custom applications, websites, and CMS platforms a search service they can connect to without running the underlying search infrastructure. As founding engineer, my work spans the control plane, distributed runtime, and application integrations.
Search infrastructure as a service
Customers provision a search instance with its own endpoint and API key, then connect using the Meilisearch REST API or compatible client libraries. Applications can index their own records and build search experiences around their data model and interface.
The platform handles provisioning, search-engine operations, SSL, and backups. Hosting locations across Europe, the United States, and Asia let teams place search infrastructure near their application servers.
Control plane and distributed runtime
The Laravel control plane manages provisioning and billing. A distributed Go agent handles TLS routing, quotas, and container lifecycle. This separates management of a customer’s service from operation of the search instance that serves it.
My work includes provisioning and operating more than 2,000 Meilisearch instances, alongside the infrastructure and integration paths that make those instances usable by applications.
Custom apps and CMS integrations
API access makes the service usable from custom backends, storefronts, and CMS systems. Teams can use Meilisearch SDKs for languages such as JavaScript, PHP, Python, and Go to control indexing and queries within their own stack.
For WordPress and WooCommerce, a ready-made plugin adds content synchronization and search integration. It is one way to connect to the cloud; custom applications and other CMSs can integrate through the same API.
Keyword, semantic, and hybrid search
Search capabilities include typo tolerance, faceted filtering, and synonyms. Semantic AI plans support vector and hybrid search for applications that need meaning-based discovery alongside keyword matching.