Micros - StackTracker
Supplement smart, optimize you
StackTracker aims to answer the question - What supplements should I actually be taking? By analyzing bloodwork and biomarkers, qualitative feedback, and research we allows users to design supplement protocols that work
Visit productView on Indie HackersMar 1, 2025commitment-side-projectemployees-under-10founders-code-yes
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →65%65% 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.
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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