Started in 2023

In this interview, Cluely co-founder and CEO Chungin Roy Lee discusses the gold rushes inside AI, focusing on AI video production and capturing arbitrage from tech-illiterate consumers. Lee outlines his controversy-driven social media marketing strategy, details the challenges of running seven software products with only two engineers, and provides a step-by-step blueprint for building a high-revenue AI ad agency. He also reflects on isolation, high school dropouts, and AI companions.

In this interview, Happy Robot co-founder and CEO Pablo Palafox explains how AI agents are moving beyond answering questions to executing complex coordination tasks across the enterprise. Palafox outlines the company's Y Combinator background, details their voice technology and text-to-speech models, and describes the forward deployed engineer model. He also discusses data sovereignty, the SaaS apocalypse, and small language models.

In this interview, CodeRabbit co-founder and CEO Harjot Gill discusses the evolution of AI-powered code reviews and automated validation tools. Gill shares insights from his past entrepreneurial exits, details the engineering challenges of managing token usage and ensemble model costs, and explains how CodeRabbit achieved rapid market adoption through open source communities. He also outlines the company's future vision for team-based collaborative intelligence across tools like Jira and Slack.

In this interview, Crogl co-founder and CEO Monzy Merza discusses the evolution of security operations and the launch of the company's free enterprise-grade AI SOC platform. Merza analyzes the core drivers of alert fatigue, including data fragmentation and practitioner competency barriers. He details Crogl's neurosymbolic architecture—integrating large language models, deterministic knowledge graphs, and secure harnesses—and highlights the strategic necessity of on-prem deployments in safeguarding critical global infrastructure.

In this interview, Mitesh Agrawal explains how Positron AI is building purpose-built inference hardware to address AI's growing memory bottlenecks while competing alongside NVIDIA rather than replacing it. He discusses the importance of product cadence, execution-focused culture, supply chain innovation, and customer trust. The conversation also explores scaling deep-tech startups, building world-class engineering teams, and capitalizing on the rapidly expanding AI infrastructure market.

In this interview, Faraj Aalaei explains how Cognichip is using Artificial Chip Intelligence (ACI) to transform semiconductor design. Drawing from decades of experience building chip companies, he discusses the growing complexity and cost of chip development, the decline of semiconductor startups, and how AI can dramatically reduce design time and expenses. He also shares his vision of making chip design accessible to more innovators and accelerating the future of hardware development.

In this interview, U-SOB founder Chris Lou discusses the growing talent challenges within the iGaming industry. He shares insights on leadership hiring, employee retention, AI adoption, cross-cultural skills, and why companies that communicate a strong vision consistently attract and retain top talent in highly competitive markets.

In this interview, Foundation Robotics co-founder and CEO Sanket Pathak discusses the future of humanoid robots in construction, logistics, and defense. He explains why he believes robots can help solve labor shortages, reduce dangerous work for humans, and eventually build large-scale infrastructure while operating alongside people in both commercial and defense environments.

In this interview, Marc Boroditsky discusses Nebius’ strategy for becoming a leading AI infrastructure platform in a rapidly evolving market. He shares insights on serving premium AI workloads, balancing growth with margin discipline, and building competitive advantages through engineering excellence, power access, and strategic partnerships. The conversation highlights execution, customer focus, infrastructure scalability, and how speed, operational rigor, and long-term investment are shaping the next generation of AI computing platforms.

In this interview, Dhanush Radhakrishnan discusses the mission behind Clone Robotics and the pursuit of human-level robotics through musculoskeletal androids powered by artificial muscles. He shares insights on biomimicry, simulation-first development, vertical integration, and building teams focused on ambitious technical goals. The conversation highlights the advantages of copying nature’s designs, the challenges of achieving human-like dexterity and movement, and how advances in AI and robotics are accelerating the path toward scalable, real-world humanoid systems.

In this interview, Roy Lee discusses building Cluely, an AI platform that provides real-time assistance by understanding on-screen activity and conversations. He shares insights on product-led growth, leveraging viral content as a distribution engine, and embracing unconventional marketing strategies to stand out in a crowded AI market. The conversation highlights rapid execution, founder-led innovation, ownership-driven culture, and how attention, speed, and product quality can create outsized business growth.

In this interview, Base44 founder Maor Shlomo shares how he built an AI-powered app development platform from scratch, grew it to hundreds of thousands of users, and sold it to Wix for more than $80 million in just six months. He discusses building as a solo founder, leveraging AI to move faster than larger competitors, growing through community-driven marketing, and why speed, simplicity, and user feedback were critical to Base44's success. Maor also reveals his approach to product development, bootstrapping, and building in the era of AI.