I made app for travelers with audio guides

Hacker News

App Store: https://apps.apple.com/app/quideapp-travel-guide/id644678861... Play Market: https://play.google.com/store/apps/details?id=app.quide.quid... QuideApp is your essential travel companion, offering detailed audio guides that bring to life global landmarks and cultural sites. This app enhances your travel experience by providing rich information and captivating stories, deepening your understanding of each destination's culture, traditions, and history. Ideal for both seasoned travelers and first-time explorers, QuideApp makes every journey more informative and engaging, allowing you to uncover unique stories and make every trip unforgettable.

Visit product View on Hacker NewsApr 18, 2024

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Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

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

83%83% 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 · Strong signals: apps, google · Missing: mobile apps, ios, personal

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

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, 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

36%36% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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