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Let’s Gym, the app that lets you find a nearby Gym Partner

Hacker News

Let’s Gym, the app that lets you find a nearby Gym Partner

Hi All, I recently launched the beta version of Let’s Gym and looking for people interested in using this app in hopes to get feedback. The app idea came up after I moved to a new city and all my buddies back home were the people I worked out with daily. My drive to the gym suffered since the workout “comradely” was no longer there. After speaking to most people around the city it seem it was a common theme of people moving here and not having a workout partner. There are facebook groups in some cities that try and alleviate this issue but the problem was that you couldn’t filter on the workout goal of the person and responses back was more of a miss than a hit using FB. We are in a very early beta in select cities in the US and would love feedback.

Visit product View on Hacker NewsJun 29, 2022

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

56%56% 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 HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% 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, io · Missing: https docs, excited, just released

31%31% 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

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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