TrackAI

TrackAI

TrustMRR

TrackAI is an AI calorie tracking app for iOS and Android: snap a photo of your meal and instantly get calories and macros. For busy people to stay consistent. Launched June 2025, it grew to $20k MRR

TrackAI is an AI calorie tracking app for iOS and Android: snap a photo of your meal and instantly get calories and macros. For busy people to stay consistent. Launched June 2025, it grew to $20k MRR ($244k ARR), 4,700+ paying subscribers and 327k+ installs in 12 months - profitable since month two and fully self-funded.

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Actual performance

5,132customers
$20,516MRR/mo
Made the leaderboard

Traction signals

Domain Rating19
MRR growth 30d-10.3%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
86%86% 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, month, profitable · Missing: mobile apps, personal, entrepreneurs
78%78% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, mrr, profit · Missing: revenue, saas, margin
75%75% predicted probability of success on Acquire.com, 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
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac · Missing: agents, macos, agent
31%31% 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
23%23% predicted probability of success on AppSumo, 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.

Correct prediction on native model

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