Case Study: Huntr scales AI-powered job search with MongoDB Atlas

Huntr empowers 400,000 job seekers with MongoDB

Huntr, an AI-powered job search management platform, faced performance and stability issues with its Elasticsearch architecture. This system required more maintenance than their small, three-person engineering team could provide, hindering their ability to scale and develop new generative AI features. They turned to MongoDB and its product MongoDB Atlas to address these challenges.

By migrating its search capabilities to MongoDB Atlas and consolidating its search and database functions, Huntr simplified its tech stack and eliminated DevOps overhead. The solution implemented by MongoDB enabled powerful fuzzy keyword and geospatial searches across millions of job listings, allowing Huntr to auto-generate job boards for over 150 cities. This improved reliability and flexibility for the platform, which serves 400,000 users, and positions them to build next-generation AI features with MongoDB Atlas Vector Search.

Huntr