Mirage uses machine learning to detect which parts of an image are edited and also provides an approximate undo to the image's pre-editing form. - Detect & Undo Editing - Compare images together - Completely ad-free
“Detect if an image has been edited then revert it.”
Mirage launched on Product Hunt on May 28th, 2020 and earned 84 upvotes and 1 comments, placing #32 on the daily leaderboard. Mirage uses machine learning to detect which parts of an image are edited and also provides an approximate undo to the image's pre-editing form. - Detect & Undo Editing - Compare images together - Completely ad-free
Mirage was featured in Android (57.1k followers), iOS (110.2k followers), Photography (142.7k followers), Artificial Intelligence (466.4k followers), Tech (621.7k followers), Search (18k followers) and Apple (15.4k followers) on Product Hunt. Together, these topics include over 342.6k products, making this a competitive space to launch in.
Who hunted Mirage?
Mirage was hunted by Akshat Jagga. 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 Mirage stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Akshat Jagga