Peak Gaming – Tournament platform for everyday gamers

Hacker News

Hey HN community! I'm super excited to shoutout Peak on HN as its a project a buddy and I have worked on tirelessly for the past year or so. Peak is a service that hosts free, cloud based tournaments for everyday gamers with real prizes and skill based matchmaking. Our main offering is our "Passive Tournament" system which allows you to have your regular public matches automatically tracked without ever having to manually enter your scores. Basically, you play just like normal, and Peak keeps score. At Peak, our focus is to make competitive gaming accessible and enjoyable to all. We’re democratizing gaming to bring the same competitive incentives formerly only available to pro players to the everyday gamer. The driving force behind developing Peak was the current state of esports and competitive play for the regular gamer. Put simply, it's too complicated and the barrier to entry can be super annoying. Any criticism/thoughts would be incredibly appreciated since we are trying to iterate as best as possible to turn this service into a thriving community of gamers. Feel free to make an account too and check out some tourneys :)

Visit product View on Hacker NewsJan 26, 2023

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

88%88% 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, host · Missing: plus, intuitive, reviews

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

41%41% 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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited · Missing: https docs, just released, exist

36%36% 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 · Strong signals: arr · Missing: mrr, revenue, profit

15%15% 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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