Ap

App for cricket scorekeeping and live scorecards

Hacker News

App for cricket scorekeeping and live scorecards

Introducing Gully League, a comprehensive scorekeeping application tailored for local and backyard cricket enthusiasts. Our app not only offers live scorecards but also includes player and team profiles, stream overlays, and points tables—features typically associated with professional cricket platforms. By offering these services at an affordable price point, we aim to democratize access for grassroots cricketers, empowering them to showcase their leagues to a global audience.

Visit product View on Hacker NewsApr 29, 2024

Actual performance

3points

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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, 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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

9%9% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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