Product 01 · Career intelligenceFlagship Product / Public Preview

JobFit

See where your CV proves the role—and where the evidence is missing.

JobFit compares CV evidence with job requirements to surface role-fit signals, evidence gaps, and areas that need stronger application preparation.

JobFit real product interface
Verified Product Screen · JobFitReal Implemented Interface

02 · The Problem

Job descriptions are dense, inconsistent, and difficult to compare against the evidence already present in a CV. Candidates spend hours guessing whether their experience matches recruiter criteria.

03 · Why I Built It

Job descriptions are dense and inconsistent. I wanted a clearer way to see what my existing experience actually proves before tailoring or applying.

04 · How It Works

Stage 01

Requirement Extraction

Parses unstructured job postings into discrete competency and experience requirements.

Step 01 of 04
Stage 02

Evidence Cross-Referencing

Maps verified portfolio case studies and CV bullet points against extracted requirements.

Step 02 of 04
Stage 03

Gap Analysis

Highlights confirmed proof points, partial matches, and unaddressed requirements.

Step 03 of 04
Stage 04

Application Strategy

Generates targeted interview talking points grounded strictly in documented achievements.

Step 04 of 04

05 · Key Product Decisions

Decision 01Evidence-first matching instead of keyword stuffing
Reasoning

Focusing on demonstrated project impact rather than superficial keyword density creates truthful applications.

Trade-off Accepted

Scores are conservative and require documented project proof rather than inflated claims.

Decision 02In-browser contextual sidebar
Reasoning

Enables real-time evaluation directly while browsing job boards without copy-pasting into external tools.

Trade-off Accepted

Must accommodate varying DOM structures across LinkedIn, Indeed, and greenhouse boards.

Decision 03Strict anti-hallucination boundary
Reasoning

AI is prohibited from inventing experience; it only organizes and evaluates verified input data.

Trade-off Accepted

User must provide thorough initial CV and project documentation.

06 · The Product Experience

Direct evidence from the working interface

Visual artifacts are presented truthfully without synthetic mockups or fabricated marketing metrics.

JobFit interface walkthrough
Evidence mappingAI-assisted analysisInformation architectureBrowser tooling

07 · What I Built / My Role

Product Conception

Identified the application friction problem and created the evidence-matching taxonomy.

UX Architecture

Designed high-density split-screen comparison UI and gap callout badges.

Extension Engineering

Built Chrome extension manifest v3 architecture, DOM parser, and local data store.

08 · Implementation Technologies

Only technologies and architectural patterns actually deployed:

Chrome Extension (Manifest V3)React / TypeScriptNatural language extraction pipelineLocal indexedDB storage

09 · Current Maturity & State

Working browser extension prototype tested against real design leadership and product postings.

Status: Flagship Product / Public Preview · No simulated traction figures

10 · Recruiter Evidence

Information architecture, AI-assisted analysis, evidence mapping, product thinking, and browser/frontend implementation.

11 · Reflection & Next Steps

Job applications should be founded on substantiated evidence. Tools that illuminate genuine alignment are far more valuable than tools that generate synthetic fluff.

12 · Actions & Discussion

Explore JobFit

Interested in the implementation details, product architecture, or live demo?