The problem
What was actually wrong
Applying to university is a logistics problem wearing the costume of an academic one. Requirements differ per institution, deadlines are scattered across a dozen portals, documents get re-requested in slightly different formats, and the cost of missing one line item is a lost year.
Most people run it out of a spreadsheet and forty browser tabs. The work is not hard, it is relentless and unforgiving, which is exactly the shape of thing that should be handed to a machine.
Approach
What I built
Admission OPS parses documents, deadlines and requirements automatically, tracks every milestone on one timeline, and surfaces the next action before it becomes urgent. It reasons over a real profile to suggest where to apply and what to strengthen, and gives the applicant and everyone helping them a single view of where each application stands.
The lab runs as a hub with spokes. Model infrastructure, evaluation tooling, the design system and data pipelines are built once, so each new product starts where the last one finished rather than from scratch.
I am one of a few people doing this in our own time, because we think useful software should not be gated behind a price. Nothing here is a company and none of us take a title.