Akinia — Private Market Intelligence Platform
Transforming a private financial data archive into a high-performance web platform used by investors, advisors, and corporate decision-makers across African markets.
Role
Lead Full-Stack Architect
Timeline
3 Months to Launch
Status
Live & Operational
Users
200+ B2B Institutional Users
<3 mo
Launch Timeline
200+
B2B Institutional Users
100%
Relational Integrity
Active
Production Platform Status
Unlocking Private Data Archives for Global Investors
The founders possessed verified financial data on African companies, valuations, deal histories, and macro indicators. However, this intelligence was locked inside manual archives and delivered as client-by-client PDFs.
There was no centralized digital platform allowing investors and dealmakers to independently search, filter, and compare regional entities in real time. The core objective was transforming an offline consulting workflow into a modern, self-service web application.
End-to-End Product Architecture & Full-Stack Execution
As the sole technical architect and full-stack developer, I owned the complete lifecycle from data modeling and schema design to frontend component construction and production deployment.
Relational Modeling & Strategic B2B Focus
Before designing UI components, I migrated unstructured data out of Notion into a structured Supabase PostgreSQL database. I designed foreign key relationships tying companies to regional macro data, funding stages, investors, and historical transactions.
During development, we pivoted from consumer self-serve subscriptions to an enterprise B2B sales motion. We replaced self-serve credit card checkouts with direct sales demo flows tailored to corporate institutions and investment firms.
Platform Modules & Feature Showcase
A dashboard that opens with what you actually came to check
Not a generic welcome screen — the overview surfaces key counters, one-click paths into Companies, Investors, Transactions, and Funds, active project workspaces, and a live news feed of African deal activity.
Market data organized into four distinct search spaces
Rather than forcing everything into one table, the hub splits private market intelligence into focused workspaces for Companies, Investors, Transactions, and Macro indicators.
Deep-dive company profiles with structured financials
Detailed profiles surfacing verified corporate data, founding timelines, sector tags, key leadership, financial metrics, and linked transactions.
Side-by-side transaction multiples and peer comparables
Enabling investors to select multiple regional entities and compare revenue multiples, EBITDA metrics, funding history, and market position side by side.
Under the Hood Architecture
Next.js 14 & React
App Router architecture with Server Components for fast page loads and SEO indexability.
Supabase & PostgreSQL
Relational data schema with Row Level Security (RLS) and real-time triggers.
Algolia Search Engine
Sub-50ms instant global search indexing companies, investors, and financial reports.
TanStack Query
Optimistic updates, background caching, and automatic refetching for dynamic data tables.
Tailwind CSS & Framer Motion
Custom design system built for high data density, readability, and micro-interactions.
Vercel Enterprise Infrastructure
Global CDN distribution with automated CI/CD pipeline deployments.
Production Results & Key Technical Takeaways
Architectural Reflection
Establishing a normalized relational database schema before writing UI code was the single most impactful architectural decision. It enabled rapid development of complex peer comparables, macroeconomic time series, and instant search queries without requiring structural backend refactoring.
Have complex data that needs a modern interface?
Let's discuss how custom full-stack web applications can transform your operational workflows.