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Case Study

JoinEight

AI recruiting extension cutting manual sourcing 30 % and doubling pipeline velocity.

Ruby on Rails
PostgreSQL
JavaScript
Chrome Extension
Python
TensorFlow
AWS
Azure
Time & Cost-per-Hire –85%
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JoinEight showcase

The Story

Founded in July 2018, JoinEight launched its AI-powered sourcing platform to automate candidate pipeline building and diversity analytics for enterprise hiring teams. I architected the backend services in Ruby on Rails with PostgreSQL and led development of a Chromium-based extension for real-time LinkedIn profile scraping. Over the following years, I integrated predictive machine learning models and D&I dashboards—driving adoption by top recruitment teams and establishing JoinEight as a leader in AI-driven hiring intelligence.

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Challenges Faced

The Problems We Tackled

Every great solution begins with understanding the core challenges that need to be addressed.

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Challenge 1

Automating manual, time-consuming candidate sourcing workflows at scale

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Challenge 2

Ensuring high accuracy in candidate matching and diversity analytics

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Challenge 3

Building a robust Chrome extension compatible with continuous LinkedIn UI updates

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Challenge 4

Maintaining real-time data synchronization across distributed services and analytics pipelines

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Solutions Implemented

How We Solved It

Strategic approaches and innovative solutions that transformed challenges into opportunities.

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Solution 1

Developed a Chrome extension with resilient DOM-scraping routines and a middleware API in Ruby on Rails to pipeline profile data

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Solution 2

Implemented AI-driven candidate scoring models using Python and TensorFlow for predictive fit and diversity metrics

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Solution 3

Orchestrated real-time updates with WebSockets and message queues to keep dashboards in sync

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Solution 4

Leveraged AWS and Azure for scalable infrastructure and integrated Marketo and Confluence for seamless workflow management

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Impact & Results

The Outcome

Measurable impact and transformative results that exceeded expectations.

Impact & Results

Sourcing –30%Pipeline +50%Time & Cost-per-Hire –85%US$ 5 M Seed
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Result 1

Reduced manual sourcing effort by 30% and accelerated pipeline building by 50%

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Result 2

Cut overall time-to-hire and cost-per-hire by 85% through AI-optimized workflows

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Result 3

Secured US$ 5 M in seed funding based on early traction and platform roadmap

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Result 4

Established JoinEight as the first AI platform for automated funnel building, driving enterprise adoption from 2018 through 2024

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