Le

Learning Languages with Netflix (Chrome Extension)

Hacker News

Learning Languages with Netflix (Chrome Extension)

Hi. Me and a friend, Ognjen, have been working on a chrome extension for learning languages that works with Netflix. It aims to solve a few issues the user faces when studying with Netflix: -- poor subtitles that don't match to the audio (solution: catalogue of titles with faithful subs, see http://languagelearningwithnetflix.com/catalogue.html ) -- monolingual subs (solution: provide a machine translation of the original subs that follow in meaning closely, albeit with occasional flaws). -- dialogue is too quick (solution: give the user the ability to step through the dialogue with keyboard keys, A S D and SPACE). There's a pop-up dictionary, and also a feature that greys-out infrequent words, based on word frequencies (compiled from OpenSubtitles corpus). It supports 15 languages, but we haven't tested it much yet. We are both quite happy with how the project turned out. You can get it on the Chrome Web Store, it's free for 30 days, then paid: https://chrome.google.com/webstore/detail/language-learning-... . Here's the number of titles in the catalogue in some major languages, although they are not available in all regions, see the catalogue for more info: English: 8012 titles Spanish: 480 titles German: 294 titles French: 271 titles Italian: 146 titles Dutch: 127 titles Portuguese: 83 titles Swedish: 89 titles We didn't just make the extension just because we could.. for an understanding of the pricipals that lead us to the current project, here's something I wrote a year ago or so: https://www.reddit.com/r/languagelearning/comments/66myn1/a_... If we get more than a handful of users, we can also add support for titles with non-latin scripts (there are many titles in Chinese, Japanese, Korean), and add support for more titles. There's also some more features we could add, like merging shorter subs, generating Anki flashcards etc. Hope you like it.

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
68%68% 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.
AppSumoStrong fit for a featured deal · Strong signals: occasional, users · Missing: plus, platform, intuitive
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, users · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, user · Missing: agents, macos, agent
55%55% 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
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: paid, 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

Similar products

A
A Chrome extension for Delicious/Pinboard28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Chrome extension for Delicious/Pinboard

Hacker News7
Be
Beautify Craigslist - Chrome Extension35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beautify Craigslist - Chrome Extension

Hacker News2
My
My first Chrome Extension35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first Chrome Extension

Hacker News1
GC
GCal-Everywhere, my first chrome extension47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GCal-Everywhere, my first chrome extension

Hacker News2
Sh
Show HN : Another chrome extension for bufferapp39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN : Another chrome extension for bufferapp

Hacker News2
Tr
Trailers for Netflix (Chrome extension)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trailers for Netflix (Chrome extension)

Hacker News20
My
My first Chrome extension (TabZolo.co)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first Chrome extension (TabZolo.co)

Hacker News9
Ea
EasyWiki - the Chrome Extension49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EasyWiki - the Chrome Extension

Hacker News1
Ho
Honeybadger Chrome Extension35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Honeybadger Chrome Extension

Hacker News27
A
A Chrome extension to get around the WSJ paywall55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Chrome extension to get around the WSJ paywall

Hacker News28