Ethercup: Place Ether on your fav teams of the FIFA Worldcup 2018

Hacker News

Hi guys, I am building Ethercup and I wanted to show you how it works: https://ethercup.github.io/ . On the website is a demo bet live right now on the Kovan test network. This bet opens today and will close in a few days. A How-to is provided on the website, but you can check out the code directly on GitHub: https://github.com/ethercup/ethercup.github.io There's no bug-bounty program, but I'm willing to share profits (if it'll yield any) in case you can break it and point me to it. Looking forward to hearing your feedback :) Also, feel free to ask questions. UPDATE: Betting is open now! Place your bets!

Visit product View on Hacker NewsJun 3, 2018

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5points

Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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