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WhatsApp platforms vs Multichoice installer payments vs WDDNG

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

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In common

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

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WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

Multichoice installer payments ›

R5M+ paid to installers in the first six months

WDDNG ›

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

At a glance

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

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.
Integrated the installer management system into Multichoice's payment process so installers are paid accurately and on time.
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.

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
  • Payments integration
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith

Highlights

  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo
  • Processed over R5 million in installer payments within six months
  • 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

Infrastructure choices

—
—
  • Supabase with PostgreSQL RLS

Outcome

—
Over R5 million in installer payments processed within six months.
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.