Two 21-year-old co-founders, Rudy Arora and Sarthak Dhawan, have withdrawn from Northwestern University and Duke University to build an AI-driven educational technology startup. Based in New York, the team launched their lecture-assistance application in January 2024. By March 2025, the platform generated nearly $500,000 monthly and surpassed $13 million in cumulative revenue. The founders, raised in the Dallas suburbs, previously developed high school ventures including a grade-checking tool and a service marketplace. Addressing the academic challenge of balancing live lectures with effective note-taking, they engineered a platform that converts audio recordings and study materials into structured notes, flashcards, and practice quizzes. Operating on a freemium model, initial adoption was driven by campus outreach before pivoting to scalable digital marketing. Growth accelerated when Arora began posting daily application tutorials on TikTok. Following early viral traction, the team formalized a creator network, compensating content producers with base fees and performance bonuses. This strategy rapidly expanded user acquisition without traditional advertising expenditure. Technologically, the startup relies on artificial intelligence to sustain its lean structure. Early development utilized manual coding and basic APIs, but operations now depend on AI code-generation models like Claude Code. While this shift drastically improves engineering output, founders note it simultaneously accelerates technical skill atrophy and obscures codebase transparency. Despite these trade-offs, AI integration enables a six-person engineering unit to deliver weekly at a pace typically requiring ten times the headcount. The founders withdrew from their programs after securing product-market fit, arguing that student status previously restricted their ability to recruit full-time talent and accelerate operations. They caution against premature withdrawals, noting that university enrollment provided crucial recruitment pipelines. They emphasize that dropping out should only follow validated traction and financial stability. The venture illustrates a broader shift toward AI-augmented development and creator-led growth. By merging automated software engineering with algorithmic social distribution, the startup has achieved scale traditionally requiring substantial capital, signaling a new operational paradigm for educational technology.