Ri

Riddle Brawl – An Image-Riddle Game

Hacker News

Riddle Brawl – An Image-Riddle Game

Riddle Brawl is not the usual word-based riddle game. Each riddle is an actual image that provides hints for the solution. These images are based on a combination of riddles, internet treasure hunts, memes, and math. The game lasts 4 rounds in total, one per week. Each round lasts from Wednesday 9:00 pm to Sunday midnight (CET time) and it has 5 image-riddles. Players need to solve them before the deadline to discover the secret passphrase. The passphrase will allow them to move to the next round the following week. Hope you'll enjoy and any feedback is more than welcome! Try it out

Visit product View on Hacker NewsNov 30, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

62%62% 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 · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

17%17% 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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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