PRODUCTION ENGINEERING · DATA INTEGRITY · MODEL INTEGRATION

JobX.OS

FOUNDER & SYSTEMS ARCHITECT · JAN 2026–PRESENT

A founder-built AI job-search and application platform unifying persistent user context, structured model workflows, product analytics, authenticated data systems, and controlled production releases.

JobX.OS public product overview
2,000+users since launch
564Cloudflare unique visitors
12.35KCloudflare requests
99.9%production uptime
01 / PRODUCT SYSTEM

Five workflows. One persistent application context.

The product connects job tracking, documents, resume analysis, preparation, and interview practice instead of treating each as a disconnected AI prompt.

01

Job Tracker

Persistent application state and status workflows.

02

Knowledge Base

User files retained as reusable application context.

03

ATS Scorer

Resume-to-role analysis through a structured model workflow.

04

Interview Prep

Role-specific preparation material and questions.

05

Mock Interview

Structured voice and text interview practice.

02 / FULL-STACK ARCHITECTURE

A production system with observable state.

The application connects a typed client, authenticated API, relational data model, model services, behavior analytics, and a controlled deployment path.

CLIENT
React + ViteTypeScript frontend
TanStack QueryServer-state orchestration
APPLICATION
Express APINode.js backend
ClerkVerified identity + sessions
DATA + MODELS
PostgreSQL + DrizzleJobs · files · usage
OpenAI APIATS + interview workflows
OBSERVABILITY
PostHogProduct behavior
Replit + CloudflareHosting · monitoring · DNS
GitHub source of truthCodex implementationBash / pnpm checksPreview + manual QAProduction + monitoring
03 / INDEPENDENT TELEMETRY

Three measurement layers answer three different questions.

Cloudflare measures traffic through the branded domain, Replit measures activity reaching the deployment, and PostHog records behavior inside the product. Their counts are presented separately because their collection boundaries differ.

CLOUDFLARE · PREVIOUS 30 DAYS

564unique visitors

Traffic through getjobxos.com peaked at 96 unique visitors in one day and did not fall below 14 during the reported daily range.

CLOUDFLARE · EDGE TRAFFIC

12.35Krequests

The edge served 11,722 SSL requests, 48.13 MB of bandwidth, and blocked five attacks during the same reporting window.

REPLIT · LATEST 30 DAYS

771visitors

Deployment traffic increased 1,229% from the prior 30-day period, with 99.9% production uptime.

POSTHOG · SINCE INSTRUMENTATION

329production pageviews

Of these, 218 were recorded on getjobxos.com across the major product workflows.

Cloudflare country values are request counts, not unique users by country. The largest volumes shown were the United States (11,983), Germany (66), China (55), Singapore (43), and Portugal (34).

04 / SOURCE EVIDENCE

Cloudflare analytics for getjobxos.com.

These screenshots preserve the original reporting context and keep the edge-domain evidence auditable.

05 / ENGINEERING JUDGMENT
AUTHENTICATION

Fixed a production 401 without reopening an insecure identity path.

Browser network evidence and database inspection isolated the regression; verified Clerk bearer-token wiring restored the flow while preserving the security boundary.

DATA INTEGRITY

Designed historical recovery around ownership and reversibility.

Recovery work used verified ownership, backups, serializable transactions, audit events, archival, rollback, and idempotency.

SCHEMA SAFETY

Caught database drift before rollout.

PostgreSQL foreign-key name truncation and repeated Drizzle schema drift were identified during validation rather than after deployment.

RELEASE CONTROL

Used layered checks before production.

Type checks, automated tests, builds, preview validation, network inspection, cross-account isolation, and live CRUD tests formed the release gate.

06 / QUANTITATIVE SYSTEMS RELEVANCE

Production engineering skills that transfer to quantitative systems.

JobX.OS demonstrates end-to-end ownership of a measured software system: relational data, model/API integration, authentication, observability, failure analysis, and controlled releases.

Systems thinkingMeasurement disciplineData integrityRoot-cause analysisModel/API integrationControlled AI-agent orchestrationRelease validationProduction monitoring
NEXTPeer-reviewed publication