Sway

Sway is a hobby and passion project that evolved from my diploma project at AHO. I wanted to help myself, and other surfers log and rate their sessions to uncover patterns, and maximise the time surfing good waves.

The Challenge

Surfing is all about timing and conditions, but knowing when and where to surf can be tricky. Many surfers rely on a mix of guesswork, local rumours, and unstructured personal experience, often leading to wasted time chasing waves.

The Solution

Unlike general services like Surfline, which hype big, heavy waves ("objectively"good consitions), Sway lets surfers log and rate their sessions based on their unique preferences. It automatically captures swell, wind, and tide conditions and structures this over time to reveal what makes their favourite spots break the way they like.

Try the prototype yourself

How it works

1. Log Your Sessions
Easily track and rate your surf sessions — wave quality, board choice, surf time, and even add photos or videos.

2. Sway captures conditions
Sway syncs each session with the swell, wind, and tide data, giving you a complete picture of the conditions.

3. Uncover Patterns
Discover the conditions that make your favourite wave break just how you like it. Dial in the perfect swell directions, wind and tide conditions.

4. Share the stoke
Share the sessions with your followers — or keep them private for your crew only.

5. Get personal recommendations and surf alerts
Sway use AI to provide personalised alerts, recommendations, and suggestions for when and where to surf based on your previously logged sessions and ratings.

My Role

Coming up with and refining the idea. Product, UX and UI design. Brand and visual design. Frontend development.

Disclaimer: Sway is a working web-app, but the full concept is not developed as described here. We are occasionally and continuously working on it.