Thrive – One-on-One Health Coaching App

Hacker News

Hey HN, Thrilled to announce the product we've been developing: Thrive - your ultimate fitness companion. Unlike traditional fitness apps, Thrive isn't just about workouts. We're here to revolutionize your fitness journey from all angles. Our platform connects you with experienced trainers, providing personalized coaching and support throughout your entire fitness journey. Plus, we're currently developing an AI tool to assist trainers in curating even more effective training plans that will be given by every user. Our long term vision is to train our AI to the point that we can offer a free version to anyone that wants to lose weight and get fit. Feel free to ask us anything in the comments or email me at info@thriveperformance.co Cheers, James

Visit product View on Hacker NewsDec 6, 2023

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

65%65% predicted probability of success on TrustMRR, 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Product Hunt, 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

35%35% 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, platform · Missing: intuitive, reviews, host

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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