Community-funded data science tournaments, where the competition is run by playoffs, best players win the pool prize, and everybody else receive the winners' ML models. Test your competitive spirit, experience an adrenaline rush and prove your data skills.
DataSource.ai 2.0 launched on Product Hunt on May 21st, 2021 and earned 71 upvotes and 3 comments, placing #26 on the daily leaderboard. Community-funded data science tournaments, where the competition is run by playoffs, best players win the pool prize, and everybody else receive the winners' ML models. Test your competitive spirit, experience an adrenaline rush and prove your data skills.
DataSource.ai 2.0 was featured in Developer Tools (511k followers) and Artificial Intelligence (466.1k followers) on Product Hunt. Together, these topics include over 152.1k products, making this a competitive space to launch in.
Who hunted DataSource.ai 2.0?
DataSource.ai 2.0 was hunted by Daniel Morales. 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 DataSource.ai 2.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel Morales