Every Step You Take – Weekly Insights from Your iPhone Step Data

Hacker News

I had a wearable to track my activity for a while, but ended up checking my scores in the app more than improving my routine. To focus on building consistency, I wanted to track my activity with the least noise – a single metric that doesn't need a wearable, step counting, and without the distraction of an extra app. With Every Step You Take, your iPhone step count data is compiled into a weekly report for you email inbox. By having to reflect on your step data regularly, small decisions to be more active become the default.

Visit product View on Hacker NewsAug 22, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, email, single · Missing: mac, agents, macos

80%80% 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.

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

69%69% 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, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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