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KittyHats – Stickers for CryptoKitties

Hacker News

KittyHats – Stickers for CryptoKitties

We are officially announcing the launch of KittyHats! Over the last month, users expressed their hunger for game mechanics beyond buying, selling, and siring. The founders of KittyExplorer.com heard your voices and have been hard at work building a 3rd party application built on top of CK that adds a new dimension to the game. Kittyhats are ERC20 accessory tokens stored on the blockchain. They stick to your favorite kitties, they show up in the marketplace, and they transfer smoothly along with the kitty from owner to owner. Need a tattoo for your favorite otaku? No problem! Does your totesbasic kitten want an iWatch? We have those too! How to get KittyHats: Install our chrome-store-approved extension and you will see the KittyHat store icon appear below the "share" icon for your kitties. In the store, you'll be able to try on and purchase different accessories for your kitties. These tokens are limited in supply and will be viewable to any CK player that has the extension. To commemorate this momentous occasion we're holding the first kitty fashion contest! To enter, just post a link on this reddit featuring your favorite kitty accessorized to the max. The KittyHats team will pick the winner next Friday. https://www.reddit.com/r/CryptoKitties/comments/7oe9xk/kitty... The winner will receive cat #440363(phuzzicat maker) and three free rare accessories! Please direct all questions to jeehoz#5202 and @dan#6054 on discord. We can't wait to see all your beautiful cats. Every kitty deserves to be fancy! Website: https://www.kittyhats.co Chrome Extension: https://chrome.google.com/webstore/detail/kitty-hats/fhdpjkk...

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3points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: month, google, users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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