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This episode of This Week in Startups features three distinct segments focusing on innovative approaches to complex challenges. First, host Alex Kantrowitz interviews Adeel Khan, founder and CEO of Magic School, which has raised $45 million to bring AI responsibly into classrooms. (02:22) Magic School serves as a teacher copilot, helping educators create differentiated lesson plans, build rubrics, and provide personalized learning experiences while maintaining teachers at the center of education. The platform has achieved remarkable organic growth, reaching 6.5 million users with over half being U.S. educators.
Adeel Khan is the co-founder and CEO of Magic School, an AI platform for educators that has raised $45 million in Series B funding. He brings firsthand experience from working as a teacher, assistant principal, and principal, giving him deep understanding of the technical challenges educators face daily. His background in education allows Magic School to build tools that truly understand the complexities of classroom management and differentiated instruction.
Chris Canetti is the founder and CEO of On the Fly Energy, developing flywheel energy storage systems for data centers and grid stabilization. For nearly a decade, he has built automated manufacturing solutions at companies like Tesla and other startups. He continues to run a small machine shop from his garage and partners with Justin Osborne, who brings deep electrical controls expertise to their venture.
Magic School operates under the philosophy that "Teachers are Magic," positioning AI as a copilot rather than a replacement. (05:47) Adeel emphasizes that teachers must remain at the center of the classroom, with AI tools requiring specific teacher input before generating materials like rubrics or lesson plans. This approach addresses concerns about AI taking over education by ensuring human expertise and judgment remain paramount. The key insight is that successful educational AI must enhance teacher capabilities rather than diminish their role, making them more effective at handling diverse classroom needs.
One of Magic School's most powerful features is helping teachers differentiate materials for students at different learning levels instantaneously. (06:51) Adeel describes classrooms where ninth-grade English teachers have students three grade levels behind, English language learners, and advanced students all in the same room. Traditional differentiation was nearly impossible for individual teachers, but AI can now create multiple versions of assignments, rubrics, and materials in different languages and complexity levels within seconds, meeting the practical needs that cause teacher burnout.
Magic School achieved extraordinary distribution without spending marketing dollars until reaching nearly one million users. (13:17) This success came from teachers naturally sharing tools that genuinely helped them with other educators. The lesson for entrepreneurs is that when building products for communities that are inherently collaborative and helpful, focusing on product-market fit and user value can drive viral adoption more effectively than paid marketing campaigns.
Chris Canetti's flywheel energy storage approach demonstrates how material science advances can revitalize old technologies. (44:55) The key limitation isn't size but surface speed and hoop stress - the faster the flywheel spins, the more energy it stores, but larger diameters create dangerous surface speeds that can cause catastrophic failure. Modern carbon fiber composites allow for much faster spinning than traditional heavy materials, making compact, high-energy-density storage possible where previous flywheel attempts failed.
Both companies strategically chose markets where the value proposition is clear and urgent. Magic School focused on teacher burnout and impossible differentiation demands, while On the Fly Energy targets AI data centers where power spikes can destabilize entire grids. (47:49) The lesson is that when developing innovative technology, starting with customers who have acute problems and budgets to solve them creates the fastest path to validation and revenue, even if broader applications exist.