I made a daily trivia game with AI generated questions

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Hey HN, I’m a soloprenuer working on some web games and just learning how to build and ship stuff. I made a daily trivia game with AI generated questions. There’s a daily challenge along with a daily trivia question for a variety of topics. You can share and challenge other ppl. It’s not like those short, boring trivia questions, so check it out. Would also love to get some feedback or feature requests. Lmk what you think and share your scores below! P.S. I also made a daily puzzle game to help with focus, anxiety, and stress — or just boredom at work. Check it out at https://tinytiles.games/daily/

Visit product View on Hacker NewsOct 15, 2024

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

60%60% 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.

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, 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

35%35% 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 · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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.

Correct prediction on native model

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