A fitness tracker for social health

Hacker News

Hi HN - a while ago I became interested in the rising rates of loneliness and mental health issues among young people. I read some really interesting research showing that short in-person interactions, even seemingly trivial ones between strangers, can provide a significant boost to mood and well-being. So, with some others, we built 5 and Go! to help people increase the frequency of their interactions with friends and those around them. While we have gotten some incredibly positive feedback from a small number of users, we have struggled to build a user base and retain users (even those who reported a significant improvement in their mental health after playing for 1 week). Any feedback would be really appreciated. iOS only. We have just started testing a subscription model, but you can get a year for free with this link: https://apps.apple.com/redeem?ctx=offercodes&id=1628590307&c... Thanks!

Visit product View on Hacker NewsApr 29, 2025

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

89%89% 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.

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

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, apple, apps · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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