For schools

Two things exist, and the rest of this page is what does not.

Every student gets the same product. There is no school edition, no feature a licence unlocks and no separate price — lessons built around what a student got wrong, spaced retrieval scheduled by FSRS, and full papers in their board’s format.

There is nothing to buy today. Not as a launch offer — as a fact about the code: no feature in Studara checks whether you have paid, so every tier we could print would describe a distinction the product does not make.

What a class actually gets.

A class code

A teacher generates a code and reads it out; a student types it in and is in the class. That is the whole mechanism — there is no roster upload, no SSO integration and no account provisioning to schedule.

lib/class-codes.ts · app/api/class-codes/route.ts

Google Classroom import

If your school already runs Classroom, coursework can be pulled in rather than retyped. It reads what is there; it does not write back.

app/api/classroom/**

What there is not, and why.

This is the section every other page in this category leaves out. It is here because the fastest way to waste a head of department’s term is to let them find it out in week three.

No leaderboard, no rank, no class XP.

There was one and it was removed. A class leaderboard was measured degrading exam performance across a term (Hanus & Fox, 2015) — the students it demotivates are disproportionately the ones already behind, which is the group a school buys this for. We took ours out rather than ship the mechanism that did it, and we are not going to add it back for a tender.

No teacher dashboard.

Not a roadmap item being coy about a date — there is no teacher-facing surface in this product at all today. If you need per-student reporting to sign off a purchase, this is not ready for you, and we would rather you learned that here than in week three.

No automatic school detection.

We do not read a student's location and guess where they go. A code typed by a person is slower and it is the version where nobody is placed in a school they do not attend.

No engagement figure we cannot show you the source of.

No retention percentage, no “40% more revision”, no case study from a school that does not exist. What we publish instead is the calibration curve — how often the app's own predictions turned out right — computed from our log with its sample size printed beside it.

The calibration curve, and the measurement that failed

What we commit to, and what would catch us breaking it