A gamified social network for passionate fans

Hacker News

Hi HN, this is youphenom. A new platform created to address some shortcomings both in social networking and (professional) competitions/sports. Simply find the content you like, vote daily for your favorite team and help them win the monthly competition. Or even start your own channel/team and turn it into a winning brand with many fans. Here are some of the problems that the platform solves for its users: - To this day social media channels, content pages and chatrooms are like silos - each their own separate island/planet of content and interactions. The competitive element on youphenom acts like “gravity”, so these confined worlds become interconnected and influence each other. - The rise of the Internet allowed most businesses to take what they do online - online stores for retailers, online banking for banks. But there is still no platform for the sports teams and athletes to do their business (to compete professionally) online. Now they can use youphenom. - Before youphenom, no professional league or sport allowed the fans to score actual points for their favorite team or athlete. - Also youphenom makes it possible for teams from different sports to compete against each other There are many more benefits for all participants on the platform, so everyone can get more value and enhanced experience compared to what is currently available in social networking and sports. Thank you for taking the time to check youphenom out

Visit product View on Hacker NewsJan 24, 2024

Share card

Actual performance

9points

21comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

70%70% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, users · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

35%35% 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

21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%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, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Social Network for Indie Musicians & Fans50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Social Network for Indie Musicians & Fans

Hacker News2

PortalBunny24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The social network for creators, fans & brands

Product Hunt+3

Plaiz28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anti-Social Network for Fashion & Streetwear Fans

Indie Hackers2ai

The Social Network for Mathematics55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Social Network for Mathematics

Hacker News3

I made a social network for musicians55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a social network for musicians

Hacker News33

what to do next with this social network?55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

what to do next with this social network?

Hacker News1

YoYo, the coolest social network55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YoYo, the coolest social network

Hacker News3

CheckUp – Social network suicide prevention in Go55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CheckUp – Social network suicide prevention in Go

Hacker News28

Jamscope, a social network for musicians55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jamscope, a social network for musicians

Hacker News1

Etoole – The etools social network42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Etoole – The etools social network

Hacker News1

Browse all products Analyze your launch