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ParcelNow vs OrderEase vs CV Coach
The problem, what was built, the stack and the outcome, next to each other.
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In common
- Shared stack: Next.js, FastAPI
- Both kinds of work: Web
- Order: ParcelNow (2025 – 2026) → OrderEase (2025 – 2026) → CV Coach (2025 – present)
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ParcelNow ›
On-demand parcel delivery with real-time tracking
OrderEase ›
Branded online ordering for restaurants and retailers
CV Coach ›
AI CV analysis, job matching and tailored applications
At a glance
- Role
- Technical lead, Smart Kitchen Co
- When
- 2025 – 2026
- Length
- 1 yr
- Status
- Delivered
- Type
- Web, Platform
- Role
- Technical lead, Smart Kitchen Co
- When
- 2025 – 2026
- Length
- 1 yr
- Status
- Live
- Type
- Web, Platform
- Role
- Founder / Lead Engineer
- When
- 2025 – present
- Length
- 1 yr 9 mo so far
- Status
- MVP
- Type
- AI, Web
The problem
Customer and operations dashboards with backend services for parcel lifecycles, tracking events and notifications, built for high-throughput transactional workflows.
Direct ordering and order management: menus, orders, payments and fulfilment, with automated order intake and status updates that cut merchants' operational overhead.
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.
What was built
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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.
Stack
- Next.js
- FastAPI
- PostgreSQL
- Redis
- Docker
- Next.js
- FastAPI
- PostgreSQL
- Redis
- FastAPI
- Next.js
- Supabase
- LangGraph
- LangChain
- Celery
Highlights
- Next.js dashboards over FastAPI services
- Live delivery updates through logistics and messaging integrations
- Fast, responsive ordering on Next.js
- FastAPI services for menus, orders, payments and fulfilment
- LangGraph workflow with custom tools to parse, compare evidence and score the match
- Asynchronous analysis pipeline
Infrastructure choices
- Docker-based development and deployment standards
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Outcome
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