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CV Coach vs OrderEase vs ParcelNow

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: FastAPI, Next.js
  • Both kinds of work: Web
  • Order: CV Coach (2025 – present) → OrderEase (2025 – 2026) → ParcelNow (2025 – 2026)

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CV Coach ›

AI CV analysis, job matching and tailored applications

OrderEase ›

Branded online ordering for restaurants and retailers

ParcelNow ›

On-demand parcel delivery with real-time tracking

At a glance

Role
Founder / Lead Engineer
When
2025 – present
Length
1 yr 9 mo so far
Status
MVP
Type
AI, Web
Role
Technical lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Live
Type
Web, Platform
Role
Technical lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
Type
Web, Platform

The problem

A Chrome extension captures job ads; a LangGraph workflow parses the CV and the ad, scores the match and drafts tailored cover letters and CV revisions.
Direct ordering and order management: menus, orders, payments and fulfilment, with automated order intake and status updates that cut merchants' operational overhead.
Customer and operations dashboards with backend services for parcel lifecycles, tracking events and notifications, built for high-throughput transactional workflows.

What was built

A Chrome extension captures advertisements, stores them in PostgreSQL and queues analysis. The platform compares a CV with a job description, produces a structured match score and generates tailored cover letters and CV revisions.
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Stack

  • FastAPI
  • Next.js
  • Supabase
  • LangGraph
  • LangChain
  • Celery
  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Docker

Highlights

  • LangGraph workflow with custom tools to parse, compare evidence and score the match
  • Asynchronous analysis pipeline
  • Fast, responsive ordering on Next.js
  • FastAPI services for menus, orders, payments and fulfilment
  • Next.js dashboards over FastAPI services
  • Live delivery updates through logistics and messaging integrations

Infrastructure choices

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  • Docker-based development and deployment standards

Outcome

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