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WDDNG vs OrderEase

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

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In common

  • Shared stack: Next.js, PostgreSQL
  • Both kinds of work: Web
  • Order: OrderEase (2025 – 2026) → WDDNG (Jan 2026 – present)

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WDDNG ›

South Africa's wedding marketplace, with two apps on Google Play

OrderEase ›

Branded online ordering for restaurants and retailers

At a glance

Role
Founder / Full-stack & Mobile Engineer
When
Jan 2026 – present
Length
10 mo so far
Status
Live
Type
AI, Mobile, Web
Role
Technical lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Live
Type
Web, Platform

The problem

South African couples plan across fragmented directories, WhatsApp messages and opaque “price on request” listings, while many international tools don't support local multi-ceremony wedding journeys.
Direct ordering and order management: menus, orders, payments and fulfilment, with automated order intake and status updates that cut merchants' operational overhead.

What was built

A Next.js and Supabase marketplace with two Kotlin / Jetpack Compose Android apps on Google Play: one for couples, one for vendors. Thuli, the AI planner, is a LangGraph supervisor coordinating 16 specialist agents.
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Stack

  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith
  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis

Highlights

  • Two Kotlin / Jetpack Compose Android apps published on Google Play
  • Thuli: a LangGraph supervisor coordinating 16 specialist agents through Zod-typed handoff tools
  • Per-agent model selection, token metering and LangSmith tracing
  • SSE streaming that renders vendor cards and progress during an answer
  • Fast, responsive ordering on Next.js
  • FastAPI services for menus, orders, payments and fulfilment

Infrastructure choices

  • Supabase with PostgreSQL RLS
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Outcome

The marketplace runs across web and two production Android apps, giving couples structured planning tools and vendors better-qualified enquiries with date, budget and guest-count context.
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