StudyFetch Tech Stack

AI-powered study platform converting course material into interactive learning tools

E-Learning Providers Beverly Hills, California 51–200 employees Founded 2023 Privately Held

StudyFetch builds a mobile-first study platform (React Native + Next.js + Node.js) that converts course material into flashcards, notes, and study guides using generative AI. The hiring mix is split between healthcare (3 roles) and engineering (2), all at senior level, while active projects focus on AI integration and NCLEX-RN practice questions — indicating a deliberate push into clinical education and exam prep rather than broad student markets.

Tech Stack 17 technologies

Core StackReact Native JavaScript TypeScript Next.js React Tailwind CSS Node.js Express MongoDB PostgreSQL AWS AWS Lambda Vercel iOS Android Bedrock VPC

What StudyFetch Is Building

◆Challenges

Content scope compliance

▲Active Projects

Ai integration into learning platform
Ai technology experimentation
Review nclex-rn practice questions

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Healthcare

Engineering

Seniority

Senior

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About StudyFetch

StudyFetch is an AI-powered study platform founded in 2023 that ingests course materials and generates study guides, flashcards, and notes for students. The product targets efficiency, organization, and conceptual retention. Based in Beverly Hills with 51–200 employees, the company runs on a modern full-stack: React Native and iOS/Android for mobile, Next.js and Node.js for backend, MongoDB and PostgreSQL for persistence, and AWS (including Bedrock for AI inference). Content compliance appears to be an active operational constraint.

HeadquartersBeverly Hills, California

Company Size51–200 employees

Founded2023

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does StudyFetch use?

React Native, Next.js, Node.js, Express, React, TypeScript, MongoDB, PostgreSQL, AWS, and Bedrock for AI inference. Mobile apps run on iOS and Android.

What is StudyFetch working on?

Active projects include AI integration into the core learning platform, AI technology experimentation, and NCLEX-RN practice question development for clinical education.