CountryGuessr – Explore 195 Countries Through Images

Hacker News

Hello HN, I'm excited to introduce CountryGuessr ( https://countryguessr.com/ ), a geography-based game that challenges you to identify countries from four unique images. This game spans all 195 countries, offering a fun and educational way to learn about different parts of the world. The game allows you to engage with every recognized country through high-quality images sourced from Flickr. It's fairly simple and intuitive gameplay is ideal for anyone from students to geography buffs. I built CountryGuessr to make geography learning accessible and enjoyable. I’d love to hear your feedback on the game experience and any suggestions you might have. You can try it out at Thanks for checking it out, and I hope you find it as fun and informative as I do!

Visit product View on Hacker NewsApr 17, 2024

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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: intuitive · Missing: plus, platform, reviews

66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way, education · Missing: mobile apps, ios, personal

50%50% 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

27%27% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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