Compare

ParcelNow vs CaseNotes vs WDDNG

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: Next.js, PostgreSQL
  • Both kinds of work: Web
  • Order: ParcelNow (2025 – 2026) → WDDNG (Jan 2026 – present) → CaseNotes (Feb 2026 – present)

Swipe sideways to compare ›

ParcelNow ›

On-demand parcel delivery with real-time tracking

CaseNotes ›

South African legal research, e-discovery and learning, powered by AI

WDDNG ›

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

At a glance

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

The problem

Customer and operations dashboards with backend services for parcel lifecycles, tracking events and notifications, built for high-throughput transactional workflows.
South African legal information is scattered across portals with limited keyword search, while international e-discovery platforms are often priced beyond the local market.
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

—
An integrated research, e-discovery and learning platform: hybrid semantic search across more than 10,000 judgments, a precedent citation graph, structured document extraction, AI-assisted discovery and stateful research workflows.
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

  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Docker
  • Next.js
  • FastAPI
  • PostgreSQL
  • pgvector
  • Neo4j
  • Redis/ARQ
  • Azure OpenAI
  • LangChain
  • LangGraph
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith

Highlights

  • Next.js dashboards over FastAPI services
  • Live delivery updates through logistics and messaging integrations
  • Five-stage Graph RAG pipeline in LangGraph
  • Hybrid pgvector and Neo4j retrieval, and a TAR active-learning loop
  • Human-in-the-loop tool-calling chat with PostgreSQL checkpoints
  • MCP server for case search and drafting
  • 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

  • Docker-based development and deployment standards
  • pgvector + Neo4j
  • Redis / ARQ workers
  • LangGraph with PostgreSQL checkpoints
  • Supabase with PostgreSQL RLS

Outcome

—
An integrated research and review platform grounded in more than 10,000 judgments, with a structured learning bank of 1,624 rubric-scored questions. The architecture supports resumable jobs, traceable sources and human review.
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