Why So Many Startups Raise Once and Are Never Heard From Again
The gap between a seed round and a Series A is where most companies on the continent stop. The reasons are structural more often than they are about the product.
Articles
Why Cameroon's ICT Corridor Is Getting Quiet Attention From Investors
Douala and Yaoundé rarely appear in continental funding round-ups. A handful of funds have started looking anyway, and their reasoning is not sentimental.
The State of African Tech in 2025: What the Numbers Actually Say
Funding totals fell again, and the headline figure hides more than it explains. A closer read of where the money went, and what the drop does not mean.
The Case for Boring Businesses
Logistics software, payroll, compliance tooling and B2B invoicing do not make good launch posts. They make good companies.
Data Protection Law: What Compliance Actually Requires of a Small Company
Most African data protection statutes borrow the same structure. Knowing that structure tells a founder what they will be asked for long before a regulator asks.
Startup Acts: What They Deliver, and What They Do Not
Several countries now have dedicated startup legislation. The tax relief tends to arrive; the harder promises tend not to.
Mobile Money Interoperability: The Rule That Quietly Changes Everything
When a regulator forces wallets to talk to each other, the competitive shape of an entire market changes. It is the least discussed and most consequential fintech policy on the continent.
The Cables Have Landed. Why Is Bandwidth Still Expensive?
International capacity into Africa has multiplied. Retail prices have not fallen nearly as far, and the reason sits between the landing station and the customer.
Power Is a Software Problem Too
Unreliable electricity does not only raise costs. It shapes what applications can be built, and most engineering advice written elsewhere quietly assumes it away.
Data Centres and the Question of Where Your Data Actually Sits
Local cloud capacity is growing. Whether to use it is a legal question as often as a technical one.
Why Language Models Struggle With African Languages
The gap is not linguistic difficulty. It is that the text these systems learn from was scraped from a web that barely contains these languages.
What AI Is Actually Being Used For, Once You Look Past the Announcements
The deployed applications are less exciting and more useful than the ones that get launch coverage: document handling, triage, translation and fraud detection.