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Smart macro tracker that helps people understand what they eat and unlock hidden eating patterns

Acquire.com

If you’ve ever wondered, “Am I actually eating right?” this simple tracking companion is designed for you, helping you understand what you eat without the hassle of manual logging by letting you scan your meals, track your macros, and spot patterns that shape your eating habits and support your fitness goals. Key Highlights ✅ Built for people who want to track food and calories without manual logging ✅ Lets you scan meals to quickly capture what you eat ✅ Tracks macros so you can understand ...

If you’ve ever wondered, “Am I actually eating right?” this simple tracking companion is designed for you, helping you understand what you eat without the hassle of manual logging by letting you scan your meals, track your macros, and spot patterns that shape your eating habits and support your fitness goals. Key Highlights ✅ Built for people who want to track food and calories without manual logging ✅ Lets you scan meals to quickly capture what you eat ✅ Tracks macros so you can understand ...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$6,500

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: fitness · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, 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
35%35% predicted probability of success on Hacker News, 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.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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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