Four Badgers who wanted their study time back.
As UW–Madison students, too much of our attention goes to managing school instead of learning. Requirements are scattered across Canvas, syllabus PDFs, course websites, Piazza, Gradescope, textbooks and email, and piecing them together slows down every assignment, schedule and exam.
Tools like NotebookLM help, but you still have to gather every source yourself, and the chatbot doesn't start out knowing your course, your professor's expectations or their AI policy. So we're building a workspace that already knows your classes: what matters now, what you need, and how to practice for your professor.
The team
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Aidan Northcutt
Data Science
Senior · Chicago, IL
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Sean Leahy
Data Science & Economics
Sophomore · Chicago, IL
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Nathaniel Garelik
Computer Engineering
Junior · New York City
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Ben Verhaalen
Data Science & Computer Science
Junior · Cedarburg, WI
What we're entering
Built at UW–Madison in 24 hours, from Saturday September 26 to Sunday September 27.
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Track
Applied AI & Automation
An agent that turns course data into the next useful action.
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Challenge · DoIT
Badgers Building for Badgers
Built by UW students, for UW students across every major.
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Challenge
The Art of the Break
An honest look at where our agent fails and what we did about it.
Say hi.
Questions, feedback or want to try it in your class? We'd love to hear from you.