Goodie AI

Goodie AI

TrustMRR

Goodie AI is your personal food scanner, built to help you eat better, feel better, and shop smarter. Whether you're avoiding seed oils, sugar, or gut disruptors, Goodie instantly decodes food labels

Goodie AI is your personal food scanner, built to help you eat better, feel better, and shop smarter. Whether you're avoiding seed oils, sugar, or gut disruptors, Goodie instantly decodes food labels with AI.

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Actual performance

3,866customers
$13,277MRR/mo
Made the leaderboard

Traction signals

MRR growth 30d+1.6%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: personal, scanner · Missing: mobile apps, ios, entrepreneurs
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% 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
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
36%36% 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.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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