With visual and audio design, designers often use a large library of examples for inspiration, supported by intelligent
systems like recommender systems. In this work, we explore how recommender systems can work when designing mid-air haptic sensations. We contribute a corpus of 10,000 mid-air haptic designs (500 hand-designed sensations augmented 20x to create 10,000). Our user study with 12 participants suggesting that the tool enables people to quickly explore design ideas and experience them immediately.