Birdle US – A Daily Bird Guessing Game

Hacker News

Hello! My girlfriend and I wanted to find a fun ay to improve our bird recognition skills, as birding knowledge felt so out of reach to us. So we decided to create Birdle, a daily bird guessing game. Our journey started in South Africa with our wonderful and fortuitous collaboration with BirdLife South Africa. After the incredible and warm reception, our players convinced to finally start covering other countries. This year we worked hard to release for testing new versions for the UK and, just today, the US. The game is also available as an app at: - Android: https://android.birdle.world - iOS: https://ios.birdle.world The version is still in beta for testing, as we are still learning about US birds, so any feedback is strongly appreciated :)

Visit product View on Hacker NewsDec 18, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, 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 · Missing: mobile apps, personal, entrepreneurs

68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, 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 · 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.

Incorrect prediction on native model

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