Brief · 2026 · Product, research and engineering

EaseMySemester v1

The first version: ten years of scattered exam papers turned into a tagged, browsable question bank, with a ranking that guessed what would be asked next. Six students paid for that ranking. It is still running, and v2 replaced it.

Problem: Ten years of past exam papers scattered across drives and group chats, with no way to see what had actually been asked repeatedly.
User: First-year MBBS students, roughly fifty in one batch, invite only and never marketed.
Decision: No model in the ranking. The question was countable, so it was counted, and the counting was graded against a held-out year before it shipped.
Number: 8 of 20 predicted questions turned up in the real paper. One cycle, one cohort, scored against a 2026 paper the ranking had never seen. A signal, not a validated model, and the question-level control against that same paper is still unrun.
Refused: No LLM in the ranking, no public signup, and no ingestion pipeline: getting PDFs into the database stayed an offline job I ran myself.

40%strike rate on predicted questions
6 paidstudents, pay what you can, before the paywall came out

Open v1

The full case study is about 7 minutes on how it was decided, measured, and where it can still fool me.