An intuitive, no subscription, privacy-first calorie tracker for iPhone

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Hi all, over the last 2 years I've been on and off building my app for iPhone. Caloree is basically a freemium calorie tracker/food diary with the ability to only track calories. This sets it apart from the competition which usually allows logging a gazillion macros. This (hopefully) makes it easier for users to log their food. Feedback so far has been great. The app launched today, which I am quite proud of. It's been 2 years next to raising 2 small kids which meant to often sacrifice the project when it was moving along nicely and spending way less time on it than I would have wanted to. It was a real test on my patience which is usually not that great :) Let me know if you have any questions or feedback is also greatly appreciated! - Rudy

Visit product View on Hacker NewsMar 29, 2023

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

74%74% 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.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, users · Missing: plus, platform, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, user · Missing: agents, macos, agent

42%42% 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

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

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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