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Lazy Weather app
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Lazy Weather app
The simplest most useful weather app so far
# Weather Assistant
Featured on : Jul 10. 2024
Featured on : Jul 10. 2024
What is Lazy Weather app?
Humans don't know how 21º feels like really BUT know how they felt yesterday. Lazy weather just tells you if it's colder, warmer or about the same compared to yesterday :)
Problem
Users struggle with traditional weather apps as they provide temperatures like 21º, which doesn't truly represent how it feels. Users have difficulty relating numerical weather data to actual felt experience.
Solution
The Lazy Weather app compares today's weather to yesterday's, simplifying interpretation by informing if it's colder, warmer, or about the same. This approach makes it easier for users to understand and relate to weather changes intuitively.
Customers
The primary users of Lazy Weather are everyday consumers interested in simplified weather updates, particularly those who plan daily activities based on weather conditions. Everyday consumers interested in weather are most likely to use this product.
Unique Features
The unique feature of Lazy Weather is its comparative approach to weather reporting, focusing on relative changes rather than absolute values, thereby helping users to intuitively understand weather conditions based on their recent experiences.
User Comments
Appreciate the simplicity and direct comparison to yesterday.
Makes planning daily outfits and activities easier.
Relieved not to decipher complex weather data.
Wish it included more detailed future forecasts.
Loved the minimalist design and usability.
Traction
Lazy Weather was featured on Product Hunt and received recognition for its innovative approach. Reviews generally highlight user satisfaction with its simplicity and practicality, though specifics like number of downloads, revenue, or user engagement metrics aren't provided on the platform.
Market Size
The global weather forecasting services market was valued at $1.5 billion in 2020, projected to grow as individuals and businesses increasingly rely on accurate and accessible weather data.