OpenPace – Open-source marathon training app

Hacker News

OpenPace helps runners achieve their fastest marathon times. Built with Phoenix LiveView, it's fully open-source. Key points: - Dashboard with weekly stats, goal tracking, and recent runs - Detailed run analytics (pace, cadence, heart rate, elevation) - Social challenges (distance, duration, elevation gain, Strava segment) - Race analytics and planning (work in progress) - Sync with Strava data Try it: https://www.openpace.co GitHub: https://github.com/edance/openpace Seeking feedback and contributors passionate about running and coding. Thoughts?

Visit product View on Hacker NewsSep 19, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: coding, open · 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 · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

54%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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue

25%25% 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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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