Product Thumbnail

Peel for iPhone X

Peel's super thin case for the iPhone X

Accessories
Visit WebsiteSee on Product Hunt

Hunted byMarshall HaasMarshall Haas

For the past 6 years we've been making the original super thin iPhone cases. We're stoked to bring our design to the iPhone X today! We're stocked up and shipping. Now that we're launched I'll be going back to my window to wait for the UPS man to show up today. Happy iPhone X day! https://media.giphy.com/media/26BRuo6sLetdllPAQ/giphy.gif

Comment highlights

About Peel for iPhone X on Product Hunt

Peel's super thin case for the iPhone X

Peel for iPhone X launched on Product Hunt on November 3rd, 2017 and earned 173 upvotes and 18 comments, placing #11 on the daily leaderboard. For the past 6 years we've been making the original super thin iPhone cases. We're stoked to bring our design to the iPhone X today! We're stocked up and shipping. Now that we're launched I'll be going back to my window to wait for the UPS man to show up today. Happy iPhone X day! https://media.giphy.com/media/26BRuo6sLetdllPAQ/giphy.gif

Peel for iPhone X was featured in Accessories (4.4k followers) on Product Hunt. Together, these topics include over 828 products, making this a competitive space to launch in.

Who hunted Peel for iPhone X?

Peel for iPhone X was hunted by Marshall Haas. 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 Peel for iPhone X stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.