Kixker – The social soccer news app (curated by r/soccer community)

Hacker News

I am a huge soccer fan, but nowadays I could rarely find the time to go from web to web to read soccer news and watch highlights. Recently, I've found the reddit r/soccer community (~400k redditors) to be a great source for soccer news and highlights. The problem is that it's painful trying to read news and filter out game highlights on mobile devices (especially on game day). Over the holidays, I've spent time to build the apps (Android & iOS) and this is my way to follow the latest/important soccer news. Android: https://play.google.com/store/apps/details?id=com.talatululabs.kixker iOS: https://itunes.apple.com/us/app/id1067496083 Would love to get your feedback!

Visit product View on Hacker NewsJan 15, 2016

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Actual performance

6points

1comments

Did not reach leaderboard

Launch Intel predictions

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

81%81% 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: ios, apps, google · Missing: mobile apps, personal, entrepreneurs

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

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

48%48% 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

44%44% 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

44%44% 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

26%26% 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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