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ParcelNow vs Pairly vs WhatsApp platforms

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
  • Both kinds of work: Platform
  • Order: WhatsApp platforms (2018 – 2022) → ParcelNow (2025 – 2026) → Pairly (Jul 2026 – present)

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ParcelNow ›

On-demand parcel delivery with real-time tracking

Pairly ›

An AI-native operating system for founder-led teams

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

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
Jul 2026 – present
Length
4 mo so far
Status
In progress
Type
AI, Web, Platform
Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI

The problem

Customer and operations dashboards with backend services for parcel lifecycles, tracking events and notifications, built for high-throughput transactional workflows.
Small teams stitch together disconnected tools for websites, customer communication, content, analytics and operations, while generic AI assistants lack safe access to business context and actions.
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.

What was built

—
Pairly gives each business one governed platform where specialised agents can work across those functions. It combines tenant-scoped AI agents, websites and CMS, CRM and communications, newsletters, analytics, integrations and a skills marketplace.
—

Stack

  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Docker
  • Python
  • FastAPI
  • PostgreSQL
  • Redis
  • Next.js
  • React
  • Azure
  • LangChain
  • Docker
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio

Highlights

  • Next.js dashboards over FastAPI services
  • Live delivery updates through logistics and messaging integrations
  • Tenant-scoped agent runtime with durable memory, model routing, typed tools and permission ceilings
  • Streaming agent UX with human approval gates, audit events and token budgets
  • Installable skills marketplace with automated validation and human publication review
  • End-to-end features spanning API, CMS, renderer, email and PDF output
  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo

Infrastructure choices

  • Docker-based development and deployment standards
  • PostgreSQL
—

Outcome

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A broad working platform with multi-tenant permissions, real-time agent execution, publishing and revision workflows, provider integrations and installable skills, with approval gates, audit events and human review for consequential AI actions.
—

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