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Cadence Running – Your AI powered running coach

Hacker News

Cadence Running – Your AI powered running coach

Tl;dr: Cadence is a running app that gives you an AI coach to motivate you while you run and help you reach your goals! What is Cadence? Cadence is your running coach while you run. Whenever you start a run with Cadence, you’ll run alongside an engaging running coach that feels like he’s there with you in real time. You can set your goal pace & distance, and your running coach will chime in to provide motivation and updates on how you’re doing. This is step 1 for building a full fledged running coach in your pocket, and we’re excited for you to try it. How can I try it? Here’s a link to the testflight: https://testflight.apple.com/join/2y3aGPZC Currently Cadence is only on iOS. Our ask: Go for a run and use our app and give us feedback & ideas on how to improve! If you try it, join our WhatsApp group: https://chat.whatsapp.com/KyezEwrfugaHexs61Ep7ie

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
55%55% 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
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
29%29% 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
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, real time · Missing: web3, crypto, cryptocurrency
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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