The starting point
Job platforms have a trust problem: candidates type a query, get a wall of results sorted by recency, and still can't tell which roles they'll actually get a response from. The founders of Orblin.ai wanted to change that: to build a platform where the search understood context, not just keywords. The technical challenge was significant: natural language job queries don't map cleanly onto structured job data, and the system had to stay fast and reliable as query volume grew. Early prototypes were accurate but slow. Slow meant bounce rates that killed the product before it could prove itself.