"Interactive" Italian Poetry for English Speakers

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It's hard to appreciate poetry in a language one doesn't know, so this is my attempt to make Italian poetry more easily enjoyable to English speakers. The approach is probably a bit nerdy, so I hope that at least it will be of interest on HN. I basically implemented what I would like to have when I listen to songs or poems in a language I don't speak: karaoke-like, word by word, literal translation, with notes about word usage and some context when needed. And some stuff about the language itself --- the part needed for the poems, at least. The tech stack is as minimal as it gets: I was hoping for an old web vibe. Feedback welcome!

Visit product View on Hacker NewsOct 15, 2023

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

68%68% 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.

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.

Indie HackersIH features products with proven revenue · Strong signals: songs · Missing: supports, reddit linkedin, podcasting

45%45% 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

34%34% 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 · Strong signals: active · 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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