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Heardle Is a Phonemic Wordle
Hacker NewsHeardle Is a Phonemic Wordle
Snowy weekend project with my partner who studies speech production. Five-phoneme words can be long or short orthographically, which keeps the gameplay interesting. We designed this to be playable for folks (like me) who don't know IPA, but this is also a great excuse to ping the linguist in your life. Powering the interface is CMUdict, a great and openly licensed source of pronunciations (though it doesn't include all inflected forms, which leads to some gaps in the allowed word list).
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3points
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Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos82%82% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive42%42% 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, revenue16%16% 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, crypto2%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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