Spoonfy – Intuitive foreign-language listening practice using AI

Hacker News

Hey HN! Loooong time lurker, first time poster here. I made this project and I'd love to hear what you think about it. There's tons of info in the repo's README, but here's the short version: Spoonfy, an FOSS project, is essentially the so-called Telenovela method (learning languages through subtitled video) on steroids. It presents translated subtitles in a clever way that turns them into something akin to X-Ray vision, helping you make sense of & learn from the foreign-language audio you hear. This video (also linked in the README) demonstrates the effect (Note: It's Despacito so it's slightly NSFW): https://drive.google.com/file/d/12qYKv_yaqGr9GWvHPtE9ng2foJV... I'm looking for help with the project (the demo isn't exactly user-friendly right now) but I'll also gladly accept any feedback. I feel this project has incredible potential: Due to its similarity to how we all learned our first language it could be the first step towards becoming a native --not native-like, but native-- speaker in a foreign language. What do you folks think? Thanks for checking it out.

Visit product View on Hacker NewsApr 18, 2022

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

88%88% 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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, google, way · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, friendly · Missing: plus, platform, reviews

50%50% predicted probability of success on AppSumo, 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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

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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