Sportal – Find Players (Helps you find players in your locality)

Hacker News

Introducing Sportal: https://play.google.com/store/apps/details?id=com.getsportal... What does it do? It helps you find players in your locality for playing any sport you want. Why have I developed it? Because I myself faced the problem. Many times when I wanted play my favourite sport I found nobody to play with. Then I conducted a survey and find out that many people face this issue. So, I decided to develop a solution! Who is it for? For everyone who love playing sports. How is it different from other such apps? It is easy to use and core-feature driven. It can take you from thinking about playing a sport to scoring a nice goal or hitting an amazing six in a few minutes.

Visit product View on Hacker NewsMar 17, 2017

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Actual performance

2points

Did not reach leaderboard

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77%77% 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.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps · Missing: mac, agents, macos

29%29% 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: ide, io · Missing: https docs, excited, just released

22%22% 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

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.

Correct prediction on native model

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