Compare

WhatsApp platforms vs WDDNG vs Picking & Packing app

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

Clear · Up to 3 at a time

In common

  • Shared stack: none in common
  • Order: WhatsApp platforms (2018 – 2022) → Picking & Packing app (2025 – 2026) → WDDNG (Jan 2026 – present)

Swipe sideways to compare ›

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

WDDNG ›

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

Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

At a glance

Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI
Role
Founder / Full-stack & Mobile Engineer
When
Jan 2026 – present
Length
10 mo so far
Status
Live
Type
AI, Mobile, Web
Role
Lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
Type
Mobile

The problem

A WhatsApp-based job platform (Altur), Harambee Youth Accelerator's move from a mobisite to WhatsApp, and eButler's WhatsApp ordering with payments through Flash.
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.
An Android app that drives picking and packing for warehouse and fulfilment operations.

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.
—

Stack

  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith
  • Kotlin
  • Android

Highlights

  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo
  • 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
  • Led architecture and development
  • Built in Kotlin for warehouse floor use

Infrastructure choices

—
  • Supabase with PostgreSQL RLS
—

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.
—

See it