Gy
Gymmr – Find nearby fitness events
Hacker NewsGymmr – Find nearby fitness events
Gymmr is an app that will help people find fitness events and facilities near them using a short video feed. When more people start using it, they will be able to tailor their feed with results driven by a vector database search. I will also be adding social features like chat and following, so people can meet others who are interested in attending the same local events. Its still a work in progress at the moment that shows test videos in the feed.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos69%69% predicted probability of success on Product Hunt, 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: video, fitness · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released30%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, intuitive29%29% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Su
Sudo – Find scavenger hunts nearby46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sudo – Find scavenger hunts nearby
Hacker News2Ri
RipBroker – Find Flats and Flatmates Nearby You52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RipBroker – Find Flats and Flatmates Nearby You
Hacker News1Ye
Yet another (faster) way to discover events nearby50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Yet another (faster) way to discover events nearby
Hacker News137Wh
What's Open Nearby?48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What's Open Nearby?
Hacker News1A
A web to see nearby TFL trains59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A web to see nearby TFL trains
Hacker News2Fi
Find people nearby to Yo51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find people nearby to Yo
Hacker News2Fi
Find people nearby to Yo48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find people nearby to Yo
Hacker News4He
HereBy = photos nearby37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HereBy = photos nearby
Hacker News2Intro29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rapidly connect with anyone nearby
Indie Hackers1analyticsFi
Find Startups nearby50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find Startups nearby
Hacker News1