X]INT – An API-Based Game for Programmers to Gather Intelligence

Hacker News

Hi HN, I’ve built [X]INT, an API-based game where you play as an intelligence analyst. You solve puzzles and gather information using real-world data sources (databases, Wikipedia, Google Maps) by making API calls. You’re free to use any programming language. The game is still in its second iteration, and I’m looking for feedback from the developer community. Would love to hear your thoughts and suggestions for improvement. Key features: - No in-game scripting limitations — use any language. - Problem-solving through API calls and real-world data interaction. Check it out here: https://salza.dk/xint/ Happy hacking!

Visit product View on Hacker NewsSep 26, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, using · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

71%71% predicted probability of success on Indie Hackers, 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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

12%12% 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

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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