For millions of people in emerging markets, a traditional credit score doesn't exist. Fintechs like Tala have stepped in, using over 10,000 data points from a user's smartphone — including social media activity, call patterns, and messaging behavior — to approve loans in minutes. In this episode, Lucas and Luna explore how Tala analyzes a customer's Facebook friends, SMS frequency, and even the time of day they use their phone to predict repayment likelihood. They discuss the surprising accuracy of these models, the privacy trade-offs, and why behavioral data may soon complement or replace FICO scores in developed markets too. Drawing on Tala's operations in Kenya and the Philippines, the hosts break down the algorithm's key signals and the ethical questions fintechs face when using social media for underwriting. A deep dive into the future of credit scoring, where your digital footprint becomes your financial identity.