Pomodo

fullstackLive2024

AI-Powered Productivity Platform

ReactNode.jsPostgreSQLOpenAIWebAudio APIFramer Motion

Overview

Project Background

Pomodo solves the problem of context-switching fatigue by combining structured time-boxing with AI-assisted task planning. Users see a single, prioritized focus queue at any given moment — eliminating decision paralysis.

Pomodo reimagines the classic Pomodoro technique for modern knowledge workers. It integrates GPT-powered task breakdowns, real-time flow state detection via keystroke cadence, and adaptive session lengths that respond to your energy levels. The ambient sound engine layers generative audio to complement deep focus.

Impact

2.4K

Avg. Daily Active Users

180K+

Focus Sessions Completed

78%

Avg. Session Completion Rate

Technology Stack

React 18TypeScriptFramer MotionWeb Audio APINode.jsExpressPostgreSQLOpenAI APIWebSocketsVercel

Key Features

GPT-4 powered task decomposition — paste a goal, get an actionable sprint

Adaptive Pomodoro intervals based on real-time focus scoring

Generative ambient sound engine with 12 layerable environments

Weekly flow analytics with heatmaps and personal benchmarks

Cross-device sync via PostgreSQL + WebSockets

Engineering

Challenges & Solutions

Challenge

Real-Time Flow Detection

Standard timers are rigid. Users enter and exit flow states at different rates, and a fixed 25-minute block often interrupts peak concentration.

Solution

Built a heuristic flow-state detector using WebWorkers to sample keystroke intervals without blocking the main thread. Session duration adapts dynamically when flow signals are strong.

Challenge

Generative Ambient Audio

Static soundscapes become cognitively invisible over time, reducing their effectiveness as focus anchors.

Solution

Implemented a layered Web Audio API system that procedurally varies rain, brown noise, and café ambience using LFOs with randomized parameters on each session.

Gallery