FRIDAY is an intelligence system built on @paycrest that solves the problem of unpredictable transaction failures.
The result: a system that flags likely transaction failures before routing, including the reason and which corridors or providers are underperforming.
FRIDAY is a case study in what ML-native fintech infrastructure should look like for Africa.
Built on @Paycrest · 7 corridors · 15,000 transactions analyzed
Repo: https://t.co/LvjZZ3La0i
Last month i created this solution for @BlockradarHQ after months of research.
This month, after consistently watching transactions die mid-flight across NGN, KES, GHS, TZS, UGX, XOF & MWK corridors, with no signal, no warning, no explanation.
So I built one.
I've been following @BlockradarHQ for a while.
$300M in volume with a 5-person team across 100+ fintechs.
Fintechs scaling this fast often can't see which customers are going quiet.
I built a churn prediction dashboard on your API and found something worth showing you.
I've been following @BlockradarHQ for a while.
$300M in volume with a 5-person team across 100+ fintechs.
Fintechs scaling this fast often can't see which customers are going quiet.
I built a churn prediction dashboard on your API and found something worth showing you.
I've been following @BlockradarHQ for a while.
$300M in volume with a 5-person team across 100+ fintechs.
Fintechs scaling this fast often can't see which customers are going quiet.
I built a churn prediction dashboard on your API and found something worth showing you.
GitHub repo dropping soon 👀
⚠️ Disclaimer:
Data shown is simulated, built to demo what the platform looks like at scale. Architecture, API integration, ML pipeline & codebase are real and production-ready. Live data populates once connected to a real Blockradar account.