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I can never remember the English Phonetic Alphabet

Hacker News

I can never remember the English Phonetic Alphabet

Are you a non-native English speaker? Do you sometimes have to give information over the phone? (your very long name, your cryptic email address, a Covid Test unique reference code) When asked about how to spell a word, does your mind go blank and you have no idea which examples to give for certain letters? (Y for ... Yoghurt? D for... Dentist? Q for ... Queen?) Or maybe you're a native English speaker with a peculiar accent, or you have a sore throat that day, or you're just feeling lazy... Fear not, I built this for you: https://hbi73.csb.app/ You can read the spelling out loud if you like, or just let the Web Speech API say it for you. And it's all available on Codesandbox if you'd like to tweak it https://codesandbox.io/s/stupefied-leaf-hbi73

Visit productView on Hacker NewsSep 20, 2021
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Actual performance

3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, code · Missing: mac, agents, macos
71%71% 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
56%56% 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: ide, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
20%20% 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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