Ch
Chat.win, Win money breaking prompts
Hacker NewsChat.win, Win money breaking prompts
Prompting arena site where users win money breaking prompts and earn money creating them. Alternative to https://hackaprompt.com / https://app.grayswan.ai/arena , Open to feedback/improvements/bugs. - Uses USDC on polygon just like polymarket. - Fun and a good way to actually prove your prompting abilities. - See every attempt live as it's happening and improve from what your opponents are doing.
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1points
Did not reach leaderboard
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TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, open · Missing: mac, agents, macos45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released44%44% 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, podcasting37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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