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Compassion Game - Gamifying a compassionate plant-based diet

Hacker News

Compassion Game - Gamifying a compassionate plant-based diet

Hello! https://compassiongame.org is an attempt to gamify following a plant-based diet for people who need extra motivation to stick with it. In the “game”, you log your meals with only one minute per day. You then track your progress towards badges representing the animals, carbon emissions, and water usage you save while building streaks. Please signup, check it out and let me know what you think. If you have any friends or family who are into eating plant-based, please share the site with them. If you are curious to learn about why I built the game, check out my latest blog post at https://compassionplanet.space/compassion-game-launch/ .

Visit product View on Hacker NewsSep 13, 2022

Actual performance

3points

Did not reach leaderboard

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56%56% 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

50%50% 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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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