AbMaxx
TrustMRRAbMaxx is a subscription-based fitness app that uses AI to analyze a user’s abs and create a personalized plan tailored to their physique and goals. The app helps users build stronger, more defined ab
AbMaxx is a subscription-based fitness app that uses AI to analyze a user’s abs and create a personalized plan tailored to their physique and goals. The app helps users build stronger, more defined abs through customized workouts, guidance, and progress tracking.
Share cardActual performance
3,630customers
$14,744MRR/mo
Made the leaderboard
Traction signals
MRR growth 30d+84.8%
Launch Intel predictions
Analyze your own launch →TrustMRRFits verified-revenue profile · Strong signals: personal, users, fitness · Missing: mobile apps, ios, entrepreneurs68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue24%24% 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 released19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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