AI Candidate Matching · SaaS Platform · Full-Stack Engineering

ApplyIQ.
Helping candidates understand fit before they apply.

ApplyIQ combines AI-powered resume analysis, application tracking, and subscription management into a single platform that helps job seekers focus their effort on opportunities where they have the highest likelihood of success.

Next.jsTypeScriptSupabaseOpenAIStripeVitestPlaywright
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01 / The Problem

Applying blindly wastes everyone's time.

Job seekers often submit dozens of applications without understanding how well their experience matches the role. Recruiters receive large volumes of poorly matched applications, while candidates spend hours applying to positions they were unlikely to secure.

The challenge was to provide meaningful feedback before an application is submitted.

02 / The Solution

AI evaluates candidate fit before they apply.

Candidates upload a résumé together with a job description. The platform analyzes experience, skills, and role alignment to generate an overall compatibility score, highlight strengths, identify gaps, and explain the reasoning behind the recommendation.

Rather than replacing human judgment, the system helps candidates make more informed application decisions.

03 / Business Model

SaaS architecture from day one.

The platform includes a usage-based subscription model. Free users can analyze up to five job opportunities per month.

Additional scans unlock through Stripe-powered subscription plans, while backend rate limiting enforces usage quotas automatically.

Live Walkthrough

From Resume to Match Score

EXPLAINABLE AI SCORING MATCHED WITH REAL-TIME SAAS TELEMETRY.

Product Interface

Candidate Insights & Dashboard

AI Match & Gap Analysis

Generates a granular compatibility rubric detailing skills match, experience relevance, screening quality, and explicit gap callouts to inform candidate decisions.

ApplyIQ Candidate Score and Gap Analysis Modal

Application Funnel Dashboard

Tracks ongoing pipeline metrics, active applications, volume charts over time, and response rates from a clean central view.

ApplyIQ Job Search Overview Dashboard

System Capabilities

What It Actually Does

01

AI Resume Matching

Compares candidate experience against individual job descriptions and generates structured compatibility feedback.

02

Application Dashboard

Tracks submitted applications, interview stages, offers, and response rates from a single interface.

03

Candidate Insights

Highlights strengths, identifies experience gaps, and explains why a candidate received a particular score.

04

Usage Limits

Enforces monthly scan quotas for free users while supporting premium subscription tiers.

05

Subscription Management

Stripe integration handles upgrades, billing, and recurring subscriptions without custom payment infrastructure.

Full-Stack Execution

How We Built It

01

AI Matching Pipeline

Designed a structured evaluation pipeline that compares résumés against job descriptions and produces explainable scoring rather than opaque recommendations.

02

Authentication & Rate Limiting

Implemented user authentication and backend rate limiting to enforce monthly usage quotas across subscription tiers.

03

Subscription Infrastructure

Integrated Stripe for recurring billing, plan upgrades, and premium feature access.

04

Dashboard Architecture

Built a responsive analytics dashboard for tracking application progress, interview stages, and response metrics.

05

Database Architecture

Modeled users, applications, scans, subscriptions, and match results in Supabase using a relational schema optimized for real-time updates.

06

Quality Assurance

Validated core application flows using Vitest for unit testing and Playwright for end-to-end testing.

Impact & Vision

Why This Project Matters

This project explores how AI can support hiring decisions before applications are submitted.

Rather than encouraging candidates to apply indiscriminately, the platform provides structured, explainable feedback that helps users prioritize opportunities where their experience is most aligned.

The result is a full-stack SaaS application that combines AI evaluation, subscription management, backend infrastructure, and analytics into a cohesive product.

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