Generative AI platform for educators—7M+ users across K-12 and higher ed.
MagicSchool is a generative AI platform built for educators, now serving 7M+ users across schools. The tech stack combines React + Next.js + Python + PostgreSQL on AWS/GCP for the core platform, with Salesforce/HubSpot/Pardot for sales motion and Looker/Tableau/Metabase for analytics. Current hiring is heavily skewed toward support and security (4 of 5 open roles are senior-level), and active projects focus on building out security foundations—threat modeling, red team assessments, and GitHub Advanced Security adoption—signaling a shift from growth-stage speed to compliance-hardening as the business scales into a data-critical, regulated environment.
MagicSchool provides generative AI tools that help educators reduce administrative burden and classroom preparation time. The platform serves K-12 schools and higher-ed institutions, with adoption driven by end-user pull from teachers and instructional leaders. The company faces seasonal demand spikes (back-to-school), data compliance pressures around student information, and churn dynamics typical of education SaaS—retention and real-time visibility into usage patterns are core operational metrics. The business runs a partner channel (evident from self-serve renewal platform work) alongside direct sales.
React, Next.js, TypeScript, Python, PostgreSQL, AWS, GCP. Analytics via Looker, Tableau, Metabase. Sales stack: Salesforce, HubSpot, Pardot. Graph databases: Neo4j, Neptune.
Security hardening (StackHawk, GitHub Advanced Security, threat modeling, red team assessments) and a self-serve renewal platform for digital partners.
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MagicSchool AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.