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Case Study · AI Product Build
TrajectIQ™
An AI career-intelligence platform — built solo, end-to-end, with Anthropic's Claude Code.
Role: AI Business Analyst, Fustech Consulting · Concept → architecture → launch · Zero infrastructure budget
01
The Problem
Job seekers are told to “tailor your resume and apply more” — generic advice that ignores where they actually stand. TrajectIQ delivers a personalized career-identity diagnosis, an honest read on the gaps holding a search back, and the next three specific moves — in under five minutes, free.
02
My Role
I built the platform end-to-end, solo, using Anthropic's Claude Code as AI development partner — from product taxonomy and revenue model to full-stack engineering, security, deployment, and public launch. No outside engineering team; zero infrastructure budget.
03
The Stack
Supabase · Auth · Postgres · RLSNetlify serverless functionsAnthropic Claude APIGoogle OAuth2PayPal subscriptionsGitHub Actions CI/CDVanilla-JS SPAGA4 · Open Graph
04
Engineering Highlights
- Full authentication & security stack — Supabase email/password + passwordless magic-link login, Google OAuth2, Row-Level Security policies, and Content-Security-Policy headers.
- IP protected by architecture — the proprietary scoring engine lives in Netlify serverless functions, so the core logic never reaches the browser.
- Conversion-first funnel — replaced the account-creation wall with a frictionless one-field email lead-capture (works in any browser or in-app webview), instrumented with GA4 funnel tracking and Open Graph social-share optimization.
- Launch-day monetization — a 3-tier freemium model with live PayPal subscription billing, serverless plan provisioning, and webhook-driven lifecycle sync.
05
Outcomes
40+
beta users · 4 industries
100%
solo build — concept to launch