Built in Nigeria, Ranked 4th in the World: What Decide Gets Right About Building AI
Abiodun Adetona didn’t wait for permission, capital, or a Silicon Valley address. With 3 employees, no external funding, and zero VC backing, he built Decide – an AI product in Nigeria that now ranks 4th globally for accuracy on real-world Excel tasks. The traction backs it up. Decide hit 1,000 users in 24 days after […]
Black News 
Abiodun Adetona didn’t wait for permission, capital, or a Silicon Valley address.
With 3 employees, no external funding, and zero VC backing, he built Decide – an AI product in Nigeria that now ranks 4th globally for accuracy on real-world Excel tasks.
The traction backs it up. Decide hit 1,000 users in 24 days after launch. Today it serves over 3,000 users, including paying customers.
The benchmark proves why. Tested on Spreadsheet Bench, a global standard for AI agents handling messy, real-world Excel work – formula writing, data cleaning, multi-sheet reasoning – Decide scored 82.5% accuracy. That’s 330 out of 400 verified tasks solved correctly.
What stands out isn’t just the number. It’s the context.
No massive team. No burn rate subsidized by investors. Just a focused product solving a painful, everyday problem for people who live in spreadsheets. The kind of problem that exists everywhere from Lagos to London.
It’s a reminder that the moat in AI isn’t always compute or cash. Sometimes it’s distribution, focus, and execution in markets everyone else overlooks.
What do you think is the biggest reason Decide grew so fast without funding – the problem it solves, the benchmark credibility, or something else?
