Oct 24, 2025

Aleph: The AI Platform for Modern Finance

Co-founders Albert Gozzi and Santiago Perez De Rosso of Aleph discuss their journey building an AI-native FP&A platform. They share insights on their first-principles approach of meeting finance teams in spreadsheets, achieving rapid time-to-value, and the early challenges of building a horizontal product. The conversation covers their YC experience, scaling to a $29M Series B, and their vision for the future of finance powered by pragmatic, accuracy-focused AI.

Oct 16, 2025

Emergent: The AI App Builder for Everyone

Mukhund and Madhav Jha, co-founders of Emergent, detail their journey of building an AI-powered app builder that reached $15M ARR in three months. They discuss their pivot from enterprise agents, the multi-agent architecture that enables production-ready apps, and their vision for a future with a 'billion builders'.

Oct 01, 2025

RevenueCat: Powering Subscriptions for the App Economy

In a YC interview, RevenueCat co-founders Jacob Eiting and Miguel Carranza discuss their journey from experiencing the pain of in-app purchases to building a critical piece of infrastructure for the mobile economy. They cover their early-stage conviction, the keys to selling to developers, and the operational and personal lessons learned while scaling to a globally distributed team.

Sep 15, 2025

Numeral: Building the Global Tax Platform

Co-founder Sam Ross discusses Numeral's journey from a personal e-commerce pain point to a venture-backed global tax platform. He covers the market opportunity created by outdated incumbents, the 'do things that don't scale' approach to finding product-market fit, lessons from fundraising, and how Numeral leverages AI to automate complex compliance workflows, shifting from a tool to a full-service solution.

Jul 30, 2025

How we hacked YC Spring 2025 batch’s AI agents — Rene Brandel, Casco

A security analysis of YC AI agents reveals that the most critical vulnerabilities are not in the LLM itself, but in the surrounding infrastructure. This breakdown of a red teaming exercise, where 7 out of 16 agents were compromised, highlights three common and severe security flaws: cross-user data access (IDOR), remote code execution via insecure sandboxes, and server-side request forgery (SSRF).