Case study - Open source

YACareerOps.

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.

5

Applicant tracking platforms ingested

2

Agents verify every posting

0

Hallucinated credentials

1

Real-time pipeline dashboard

01 - Overview

What it is

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

What it does

Five capabilities that turn a noisy job market into a verified, trackable pipeline.

01

Autonomous multi-board ingestion

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

YACareerOps command dashboard overview with pipeline funnel
02

Deterministic qualification filters

Strict, rule-based checks for compensation, geography, and domain fit. The same posting always gets the same answer.

03

Dual-agent verification

Every posting is cross-checked by two independent agents before it reaches human review, catching stale, duplicate, or misread listings.

YACareerOps posting inspector with verification details
04

Automated application packages

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

YACareerOps pipeline tracking from ingestion to interview
05

Real-time command dashboard

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

YACareerOps metrics and market benchmarks

03 - Technical

How it is built

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

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