Compast
Context
Compast is a smart composting assistant that makes composting simple for beginners and households. It provides step-by-step guidance, a smart to-do list, and personalized reminders based on waste mix, temperature, and moisture. Users can track progress and see their real impact through clear, relatable metrics, turning composting into an easy, rewarding, and sustainable habit.
Problem & Goals
TPA Suwung, the largest landfill in Bali, has stopped accepting organic waste. About 60–70% of the island’s waste is organic, and the lack of clear alternatives is pushing people to dump trash on roads, in rivers, and in other public places.
Research Insights
After identifying the landfill issue, we ran three interviews. First, Sungai Watch showed that organics in rivers cause strong odors and poor water quality. Next, local leaders and residents in Banjar Segara said some households already compost, but basic methods are slow. Finally, Urban Compost confirmed that simple controls for aeration, moisture, and carbon-to-nitrogen balance can speed the cycle. These findings point to a need for simple daily guidance, small-space setups, basic pest prevention, and community support.
Solution
Compast helps you turn food scraps into compost with clear, easy steps. Create a project, add materials until the ratio meter says “ideal,” then check in occasionally (moist, dry, hot, smell). Compast reads the condition and tells you what to do next—add browns/greens, mix, or rest—then sets gentle reminders and tracks progress to harvest, with tips for small spaces and pest prevention.
Wireframe
UI Components (Design Systems)
Results & Impact
Compast simplifies composting for households with step-by-step guidance and reminders calibrated by real conditions (waste mix, temperature, moisture). Progress tracking and relatable impact metrics help turn composting into a sustainable habit.
Nothing great is ever done alone
This project came to life thanks to:
Designer: Hendy (UI), Saskia (UI, Illustration & Design Research), Olaff (Design Research)
Coder: Wikan & Reva (Code), Olaff (Code)
PM: Wikan