I started AutoLingo out of my own pocket after being initially dissatisfied with the features of other popular flashcard learning sites. I believed in a vision where students wouldn’t need to spend their precious study time creating their own content. Instead, I could generate their own custom material in just a few seconds, giving them back invaluable moments of their life.

AutoLingo is an application I architected, aiming to create an engaging and intuitive learning environment for language enthusiasts. The UI/UX has been meticulously designed with Typescript, React, and TailwindCSS – a decision guided by React’s swift rendering abilities, Typescript’s type safety and readability, and the aesthetic and responsive capabilities of TailwindCSS.

The foundation of the application, the business logic, was constructed using Node.js, an ideal choice given its event-driven, non-blocking I/O model that ensures efficient handling of concurrent requests. To ensure AutoLingo’s availability and responsiveness even under high user load, I used Google Cloud App Engine to deploy the Node.js-based API. This deployment strategy guaranteed enhanced scalability and seamless performance.

Today, AutoLingo is on a progressive trajectory, evolving from an ambitious side project to a market-ready product. The app’s AI-powered, high-quality study content attracts and retains users effectively. I am consistently rolling out updates and improvements, transforming AutoLingo into a premier tool for language learning, embodying both entertainment and effectiveness.

React, Typescript, HTML/CSS, TailwindCSS, Netlify, NodeJS, LLM Prompt Engineering, OpenAI API, Git, GCloud App Engine

Project Planning, Product Design, Feature Roadmapping, MVP-Driven Design, Gamifying Design Principles, API Integration, User Acquisition Marketing