Lavable, an AI software engineer, lets users create working products from English prompts. Boasting incredibly fast growth (4 million ARR in 4 weeks, 10 million ARR in 2 months with 15 employees), Lavable aims to be the last piece of software anyone needs to write. Its unique features include visual editing and seamless backend integration. The company prioritizes clear communication and rapid iteration, emphasizing the importance of product vision and user understanding in the age of AI-powered development. Based on the provided context, Anton doesn't directly discuss specific failures. However, he touches upon a crucial aspect of building a product, which implicitly acknowledges the potential for failure: Figuring out what to build: Anton states, "I don't know what people want," highlighting the challenge and risk of creating something that doesn't resonate with users. Identifying pain points: He emphasizes the importance of understanding user pain points and finding ways to make existing solutions "tenic better," implying that failure can come from not addressing real needs or improving upon current offerings. Generalist Skills: Being Generalist is more important than a specialist. Product Team: He would really focus on getting as many skill sets as possible for each person. Growth: People love the product that's the driver of the growth today. Anton discusses his journey and touches upon a point of disagreement with his team at a YC startup where he was the CTO. His team felt he was exaggerating the impact of large language models, suggesting a potential challenge or difference in vision. To prove his point, he created an open-source tool called GPT, indicating a proactive approach to addressing skepticism or potential failure of others to recognize the technology's potential. Here's a breakdown of the key points from the provided context: Identifying User Needs: A significant challenge is understanding what people want, which is crucial for founders and builders. Focus on Pain Points: Founders should focus on identifying pain points and existing solutions. 10x Improvement: The goal is to figure out how to make existing solutions ten times better. Collaboration Feature: Future plans include adding a collaboration feature. System Improvement: The biggest initiative is to make the system more "identic," which has a longer roadmap. Weekly Planning: The team follows a weekly planning cadence. Bug Fixing and Polish: Current focus is on fixing bugs and polishing the existing system.