Interactive case study
2 months build window

JOBMOO

AI-Powered Autonomous Job Hunting Stack

Headline outcome
Automated the end-to-end job hunt loop from sourcing to matching to application submission.
Business Outcome: Compressed the job-hunting lifecycle by automating multi-feed scraping, AI fit scoring, and application delivery.
Multi-source
Job Coverage
AI-scored
Fit Prioritization
Queued
Application Pipeline
ReactExpressMongoDBRedisPlaywrightOpenAI
Jobmoo hero artwork

Why it matters

Built a fullstack automation pipeline that compresses the manual job-hunting loop into a managed system.

Current signal

Pending

Focused delivery from architecture through working interaction model.

Mission

Why this system had to exist

JOBMOO was built to reduce the repetitive overhead of searching roles, scoring fit, preparing outreach, and applying across multiple channels. Job seekers often spend more time collecting and filtering opportunities than actually pursuing the best ones. The platform needed to centralize that workflow and keep it visible through a dashboard.

Moment 01

JOBMOO was built to reduce the repetitive overhead of searching roles, scoring fit, preparing outreach, and applying across multiple channels.

Moment 02

Job seekers often spend more time collecting and filtering opportunities than actually pursuing the best ones.

Moment 03

The platform needed to centralize that workflow and keep it visible through a dashboard.

Stage 1 of 4
Immersive sandbox
Architecture Simulation Console

This system is fully operational. Switch narrative tabs to explore context, problems, and breakthrough milestones.

Architecture explorer

Select a layer to inspect the operating shape of the system.

Active layer

React Dashboard

Multi-source job scraping across feeds, APIs, and browser automation

This layer participates in the wider system boundary described in the story above, connecting runtime behavior, user-facing interaction, and safety constraints into one deployable stack.

Before / after transformation

The outcome is easier to feel when you switch between baseline and optimized states.

Before

Opportunity Discovery

Manual site hopping

After

Optimized resolution

Centralized automated intake

What shipped

Multi-source job scraping across feeds, APIs, and browser automation

AI scoring against candidate profiles with personalized cover letters

Automated application delivery through email and form workflows

Live progress tracking via queues, sockets, and dashboard feedback