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Colorfle – A daily color mixing game inspired by Wordle

Hacker News

Colorfle – A daily color mixing game inspired by Wordle

Hi HN, I was inspired by Wordle to make Colorfle, a different take on the genre where the goal is to mix colors together to match the target color within six tries. There were some interesting problems to tackle in making this game, one of them being the difference between mixing digital colors and real-life behavior (in RGB, blue + yellow = grey!). I hope you enjoy it -- any feedback would be much appreciated!

Visit product View on Hacker NewsApr 29, 2022

Actual performance

96points

31comments

Made the leaderboard

Launch Intel predictions

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

48%48% 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.

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

45%45% predicted probability of success on TrustMRR, 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

42%42% 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

37%37% 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

23%23% 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

19%19% 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

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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