Geostakes – Skill Based Location Wagering

Hacker News

Hey guys, I built Geostakes, a skill-based wagering platform where you can play 1v1 Geoguessr-style duel for money against other players. I'm tired of seeing people waste money on luck-based games and I think that skill-based wagering platforms are the future. Many people develop actual skills playing video games and why not have the opportunity to profit from it. The platform supports FIAT deposits and FIAT & Crypto withdrawals, and the matchmaking system is async. You play a 5 round game and then another player gets the same seed as you and the winner takes the pot. Right now I'm restricting to US players and in the states where skill-based real-money gaming is authorized. Let me know if you have any questions or feedback!

Visit product View on Hacker NewsMay 30, 2026

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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 · 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: video · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, 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.

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

27%27% 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: profit · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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