AI

AI coach for runners using reinforcement learning

Hacker News

AI coach for runners using reinforcement learning

I have been experimenting with deep reinforcement learning since watching the DeepMind lecture series on YouTube a while back. I'm also an obsessive runner, so I figured a good first project to build would be an AI coach for runners. What started out small... quickly turned into something big. I've been using it myself for a couple of months and been tweaking it continuously. Feeding it new and improved data sets. I think for most normal runners (beginner -> immediate -> advanced) it works pretty well. It might be completely off if you're an elite runner. But I decided it's good enough to release to the world. So I'm launching it as an app for iPhone and Apple Watch (free for now). Would love to get some feedback from other runners.

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new, using · Missing: mac, agents, macos
84%84% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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