Launch Intel
Folicle

Folicle

TrustMRR

Folicle is an AI hair tracker for people on real treatment protocols. Five gyroscope-aligned scalp photos a week, registered to your first session so week 12 is comparable to week 1. One honest weekly

Folicle is an AI hair tracker for people on real treatment protocols. Five gyroscope-aligned scalp photos a week, registered to your first session so week 12 is comparable to week 1. One honest weekly Hair Score with breakdown for photo trend, routine consistency, and recovery factors. Treatment log for minoxidil, finasteride, microneedling, tretinoin, dutasteride. Built solo by someone 18 months into the protocol because mirror-checking isn't a measurement.

Visit productView on TrustMRRArtificial IntelligenceMobile Apprevenuecat
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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating9

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Strong signals: month, para · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
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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