iOS app to help me hit my daily step goals

Hacker News

In 2020, I started walking more and more. I was annoyed with having to constantly check my phone to see my step count and plotting a route that was sufficiently long enough. Over the next few weeks, I built Walking Route, which lets you generate a custom route of any length or quickly generate routes 5,000 steps or 10,000 steps in length. Plus, the route will always return you back to where you started from. I live in San Francisco and since it generates a new walking route every time, one of the unexpected consequences was that it helped me explore areas of the city I probably wouldn't have checked out otherwise. It's completely free and has helped me maintain my stay active during quarantine, just wanted to share it with this community as well: https://apps.apple.com/us/app/walking-routes/id1554790655

Visit product View on Hacker NewsMay 22, 2021

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Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting

76%76% 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, apps, new · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, way · Missing: mobile apps, personal, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

39%39% 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 · Strong signals: plus · Missing: platform, intuitive, reviews

36%36% 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

25%25% 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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