Job seekers waste hours manually aggregating and parsing fragmented hiring data across multiple sources

Tech professionals spend significant time searching through scattered job postings, parsing unstructured hiring threads, and manually filtering opportunities by location and remote status. Current solutions require visiting multiple websites, parsing raw forum posts, or relying on incomplete job boards that miss direct-from-company postings. The friction of data aggregation and normalization creates delays in finding relevant opportunities and causes candidates to miss time-sensitive positions.