Take photos of your poop for better gut health

Hacker News

I'm a sophomore at Bronx Science, and over my last summer vacation, I created Crappsy.com (and it's android and ios apps). Crappsy allows you to take a photo of your poop. Our AI then scans the photo and rates its healthiness. Based on that healthiness, we give you personalized health recommendations and products to fix your issues. You also get a "Crappsy score" as a fun way to track your gut health. Digestive issues affect many Americans, and I hope Crappsy can help! https://www.crappsy.com https://apps.apple.com/us/app/crappsy-ai-digestive-health/id1481175720?ign-mpt=uo%3D2 https://play.google.com/store/apps/details?id=com.crappsy.app&hl=en_US

Visit product View on Hacker NewsFeb 2, 2020

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

75%75% 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 · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, 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

47%47% 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

34%34% 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

27%27% 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.

Incorrect prediction on native model

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