About Personalized Image Search from EyeEm on Product Hunt
“Train AI to find on-brand photos”
Personalized Image Search from EyeEm launched on Product Hunt on December 18th, 2017 and earned 80 upvotes and 0 comments, placing #28 on the daily leaderboard. Train and apply your visual identity. We'll analyze your brand's visual language, training a unique model you can integrate into your image search.
Who hunted Personalized Image Search from EyeEm?
Personalized Image Search from EyeEm was hunted by Andreas Klinger. 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 Personalized Image Search from EyeEm stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Andreas Klinger