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OrderEase vs ParcelNow 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: OrderEase (2025 – 2026) → ParcelNow (2025 – 2026) → CV Coach (2025 – present)
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OrderEase ›
Branded online ordering for restaurants and retailers
ParcelNow ›
On-demand parcel delivery with real-time tracking
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
- Live
- Type
- Web, Platform
- Role
- Technical lead, Smart Kitchen Co
- When
- 2025 – 2026
- Length
- 1 yr
- Status
- Delivered
- Type
- Web, Platform
- Role
- Founder / Lead Engineer
- When
- 2025 – present
- Length
- 1 yr 9 mo so far
- Status
- MVP
- Type
- AI, Web
The problem
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.
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
- Next.js
- FastAPI
- PostgreSQL
- Redis
- Docker
- FastAPI
- Next.js
- Supabase
- LangGraph
- LangChain
- Celery
Highlights
- 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
- LangGraph workflow with custom tools to parse, compare evidence and score the match
- Asynchronous analysis pipeline
Infrastructure choices
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- Docker-based development and deployment standards
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Outcome
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