Hireeing
hireeing.comHireeing is a curated early-career recruitment marketplace. Pruning Labs built its continuous ATS extraction pipeline that removes expired listings, a deterministic resume matching engine, and a browser autofill extension that cut application time to under forty-five seconds.
The problem
Early-career applicants face bloated job boards littered with expired listings, hidden salaries, and repetitive multi-page forms. The core failure is data freshness: a board that scrapes once and never re-checks is mostly fiction within a month.
What we pruned
- Ghost jobs and expired listings pruned via continuous ATS sync
- Repetitive multi-page application forms pruned via browser autofill
- Hidden compensation pruned with mandatory salary transparency
What we engineered
- Direct ATS extraction pipeline sourcing active entry-level openings
- Deterministic resume matching engine filtering roles by skill relevance
- Zero-friction browser autofill extension for application workflows
How it is built
- Listings are pulled directly from applicant tracking systems on a continuous cycle; anything that disappears upstream is delisted rather than left to rot.
- Matching is deterministic and explainable: extracted skills scored against structured role requirements, so a candidate can see why a role surfaced.
- The extension fills applications locally in the browser. Candidate documents are not routed through a third-party parsing service.
Stack
- Next.js 15
- FastAPI
- AI resume matcher
- Chrome extension
- PostgreSQL
Disciplines involved
Production AI Systems
Applied AI lab and engineering agency shipping production AI systems: retrieval-augmented generation on pgvector, deterministic multi-agent supervisors, evaluation harnesses, and guardrails. Built in Kolkata, deployed for teams worldwide.
Custom Software Engineering
AI-driven custom software development and engineering for teams that need sub-50ms responses, honest architecture, and code they can own. Next.js, Go, PostgreSQL and edge deployment, built in Kolkata by IIT alumni engineers.
