Mu
Munter factors for your uphill ski days on Strava
Hacker NewsMunter factors for your uphill ski days on Strava
My friend is training for the Grand Traverse and using the Munter method in his pacing estimates. Last weekend I hacked together a Strava app that calculates Munter rates from your activity data. Connect your Strava account, and whenever you upload a "Backcountry Ski" activity, it'll put the rates at the bottom of the activity description. Made a "Club" on Strava for feedback/suggestions/feature requests/etc: https://www.strava.com/clubs/1106227/discussion Cheers!
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Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: activity, using · Missing: mac, agents, macos74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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