WordKache – A Chrome Extension That Auto-Saves Your Online Translations

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Hi HN! This project idea has been in my backlog for a couple of years now, but thanks to the help of a couple of classmates, we've recently released this on the Chrome Web Store! Key Features: 1. Supports auto-saving of Google Translate and DeepL queries 2. Folder organization 3. Export cards as a .tsv file to import into flashcard apps like Quizlet or Anki As a spanish learner myself, I would often find myself looking up the translations of the same words/phrases over and over again, not actually learning anything in the process. Sure, I could just write them down in a spreadsheet and review from it periodically, but that required far too much effort/upkeep. I couldn't find any app that would automatically do this for me (other than Google Translate's "History" sidebar), so that's why WordKache exists. Let me know what you think! If you're a language learner, have you encountered similar problems in the past?

Visit product View on Hacker NewsJun 25, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

77%77% 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.

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

61%61% predicted probability of success on Product Hunt, 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.

TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released

35%35% 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

17%17% 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

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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