The Problem
K-12 edtech is famously punishing. Eighteen-month procurement cycles. Decisions made in May for budget that can't be spent until September. Pilots that depend on a single curriculum coordinator who might leave for a different district before the contract closes. Summer break, during which every buyer disappears and your monthly revenue chart goes flat.
The specific problem I cared about — having taught middle-school math for seven years — was that teachers were spending an absurd amount of unpaid evening time on differentiation: making three or four versions of every assignment to fit students at different skill levels in the same classroom. The existing tools — IXL, Khan Academy, DreamBox, i-Ready — assumed a single worksheet per class.
I'd watched friends in adjacent classrooms quit teaching because of this exact load. Districts were paying $400-1200 per student per year on edtech that didn't meaningfully reduce the differentiation burden. Most of those tools were owned by holding companies like HMH and McGraw Hill that hadn't shipped a meaningful update since 2019.
There was room for a tool that did one thing well, was priced at a level a single school could approve without a full district RFP, and was built by someone who'd actually written a lesson plan. I'd read a long piece on the AI-in-schools debate which mostly missed this point: the teachers weren't worried about being replaced, they were worried about Sunday-night lesson-prep collapsing back to Monday morning.



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