A collaborative tracking platform where applicants anonymously report interview invites with timestamps, creating real-time visibility into each school's invite patterns by round. Machine learning analyzes historical data to predict remaining invite windows and gives users personalized probability assessments based on their application date and school-specific patterns.

MBA applications have surged post-pandemic with increasingly competitive admissions cycles. Schools have become less transparent about timelines while applicants are more connected online, creating demand for aggregated intelligence that scattered forum posts cannot provide.