Overview

Taplog is a mobile-first language-learning keyboard that transforms everyday typing mistakes into personalized learning opportunities.
By capturing real usage data — typos, corrections, and context — Taplog automatically generates custom flashcards through a spaced-repetition system that adapts to each learner’s actual weaknesses.

This turns casual typing into a continuous, data-driven learning loop, helping users build fluency passively while they text, chat, or work across apps.

Core Features

• Smart Typo Detection — Identifies patterns in user mistakes, context, and corrections.
• Adaptive Flashcards — Generates vocabulary and grammar flashcards automatically based on real inputs.
• Offline-First Engine — Powered by an SQLite SRS database for instant access and sync-free usability.
• Native Keyboard Experience — Built with custom React Native modules for iOS and Android keyboards.
• Analytics Dashboard — Tracks performance, progress, and accuracy improvements over time.

Architecture

Taplog is built as a fully native mobile system, combining data-driven learning with seamless UX:

• Frontend: Expo React Native + TypeScript
• Storage: Local SQLite for spaced repetition
• Native Modules: Custom keyboard integration via Expo Modules
• Backend (optional): Supabase for sync and user analytics
• Tracking: PostHog for engagement and retention metrics

Impact

Taplog reimagines mobile learning by meeting users where they already spend time — their keyboard.
Instead of requiring separate study sessions, it converts daily communication into personalized micro-lessons, bridging the gap between productivity and education.

With its adaptive engine, offline performance, and behavioral insight loop, Taplog represents a new category of passive, real-world language acquisition technology.