People love singing *with* Freddie Mercury, but can you sing *like* Freddie too? We made an AI-powered singing challenge to find out. This experiment uses new, on-device machine learning models to see how close your timbre, pitch, and melody are to Freddie’s.
FreddieMeter launched on Product Hunt on November 15th, 2019 and earned 109 upvotes and 14 comments, placing #6 on the daily leaderboard. People love singing *with* Freddie Mercury, but can you sing *like* Freddie too? We made an AI-powered singing challenge to find out. This experiment uses new, on-device machine learning models to see how close your timbre, pitch, and melody are to Freddie’s.
FreddieMeter was featured in Web App (121.8k followers), Music (53.3k followers), Charity & Giving (4.3k followers), Streaming Services (42.9k followers), Artificial Intelligence (466.7k followers) and Tech (622k followers) on Product Hunt. Together, these topics include over 300k products, making this a competitive space to launch in.
Who hunted FreddieMeter?
FreddieMeter was hunted by Dan Motzenbecker. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how FreddieMeter stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dan Motzenbecker