LoquiAI Case Study

Overview

LoquiAI is a language learning app that connects vocabulary acquisition to media users love. Users swipe through flashcards (demo shown on first use) and can instantly pull in words from Spotify songs. Daily challenges and notifications keep users engaged, and progress is tracked.

Role: Founder, designer, developer, idea guy
Tech Stack: React Native (Expo), AWS S3, Supabase, Clerk, FastApi, OpenAI
Status: In development (next step: beta launch)

The Problem

Most apps teach vocabulary in isolation, making it hard to use in real life. Users feel disconnected and unmotivated.

Img1: Duolingo uninspiring

Img2: Streak game not language learning

Img2: Streak game not language learning part 2

Goals

Tie learning to familiar songs, shows, and movies.
Eliminate manual flashcard creation.
Guide users from music to TV to movies as they grow.

Solution

LoquiAI lets users import vocabulary from media in seconds. A streak counter and charts show progress. Each song or show displays a completion pie chart. A Chrome extension immerses users in native-language websites, highlighting known words.

Auto-import words from Spotify, shows, movies.
Track known vs. learning words with visual charts.
Chrome extension checks known words on real websites.

Process

Discovery (User Insights)

Users want practical language skills from media they already enjoy.

Ideation

We designed a “media-to-flashcard” experience and envisioned progression from smaller vocab sets (songs) to larger (movies).

Design

The UI shows a streak counter and progress charts. Users swipe cards and unlock new segments after completing previous ones.

Development

Flashcard engine (Placeholder: tech stack)
Spotify/TV/movie API integration (Placeholder: specific challenges)
Chrome extension (Placeholder: technical approach)

Progression

Stage 1: Songs (basic tier)
Stage 2: TV shows (split into unlockable segments)
Stage 3: Movies (premium tier with added perks)

As users complete stages, they unlock larger content. Payment tiers apply as they move up.

Real-World Integration

The Chrome extension switches users to native-language websites, showing how many words they already know on the page.

What’s Next

Beta launch to gather real-world feedback.
Iterate based on user behavior (Placeholder: future feature ideas).
Expand media sources or refine pricing (Placeholder: roadmap thoughts).

Reflection

This is built on assumptions. Once launched, user input will guide the product’s evolution. Ultimately, LoquiAI aims to be a tool shaped by practical, real-world language needs.