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RentLingo's Charm Index
Uses Big Data to visualize best/worst parts of town
About RentLingo's Charm Index on Product Hunt
“Uses Big Data to visualize best/worst parts of town”
RentLingo's Charm Index launched on Product Hunt on February 8th, 2016 and earned 72 upvotes and 9 comments, placing #14 on the daily leaderboard.
Who hunted RentLingo's Charm Index?
RentLingo's Charm Index was hunted by Sten Tamkivi. 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.
For a complete overview of RentLingo's Charm Index including community comment highlights and product details, visit the product overview.