Autonomous multi-board ingestion
Continuously monitors openings across Greenhouse, Lever, Ashby, Workday, and Jobvite, so new executive roles surface without manual searching.

Case study - Open source
An open-source autonomous job search engine, from ingestion to interview.
YACareerOps is an open-source autonomous job search engine built by Cask & Hound for candidates pursuing executive roles. It monitors hundreds of applicant tracking systems, filters openings against strict criteria, and verifies every posting with two independent agents before human review. The outcome is a verified, trackable pipeline from ingestion to interview on a real-time dashboard.
Applicant tracking platforms ingested
Agents verify every posting
Hallucinated credentials
Real-time pipeline dashboard
01 - Overview
YACareerOps is an open-source autonomous job search engine. It monitors executive opportunities across hundreds of applicant tracking systems, filters them against strict criteria, and verifies every posting through a dual-agent check before a human ever sees it. A real-time dashboard tracks the whole pipeline from ingestion to interview.
02 - Key features
Five capabilities that turn a noisy job market into a verified, trackable pipeline.
Continuously monitors openings across Greenhouse, Lever, Ashby, Workday, and Jobvite, so new executive roles surface without manual searching.

Strict, rule-based checks for compensation, geography, and domain fit. The same posting always gets the same answer.
Every posting is cross-checked by two independent agents before it reaches human review, catching stale, duplicate, or misread listings.

Tailored resumes and outreach plans built from real experience only, without hallucinated credentials.

Funnel tracking, interview cadence, and market benchmarks in one view, from ingestion to interview.

03 - Technical
A Python and Flask service with scheduled cron workers, ATS API integrations, Telegram alerts, and a Chart.js dashboard.