I

I am making my runs more meaningful and interesting by gamifying them

Hacker News

I am making my runs more meaningful and interesting by gamifying them

Hey everyone! I've been running for about 4 years and have completed multiple half-marathons, 5Ks, and 10Ks. Recently, I’ve been thinking about how I can make my running habit more meaningful beyond just tracking miles. So, I’m building Run&Grow, an app that rewards you with plants for each milestone you hit on your runs! Every time you accomplish a goal, you’ll plant trees and plants in a virtual garden—turning your fitness achievements into something you can actually see grow. If you're into running or just like the idea of gamifying your workouts with a cool environmental twist, I’d love for you to join the waitlist and be one of the first to try it out! runandgrow.carrd.co Let’s grow something amazing together!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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 · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: fitness · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
30%30% 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
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · 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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