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Dictionary Functions – Functions to look up dictionary on Google Sheets

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Dictionary Functions – Functions to look up dictionary on Google Sheets

Hi all, Dictionary Functions is still under development so there are many known issues. This add-on is only available on Google Sheets web version. Install add-on: 1) Open a Google Sheets document (https://sheets.google.com) 2) Go to Add-ons > Get add-ons > search "Dictionary Functions" and install it 3) click "Allow" on Permission dialog Supported functions: * =dict(term, languageCode, {{ field1, field2, ... }}) * =def(term, anguageCode) * =ipa(term, languageCode) * =gender(term, languageCode) * =plural(term, languageCode) * =female(term, languageCode) * =male(term, languageCode) * =romaji(term) * =romanization(term) * =pinyin(term) * =simplified(term) If you use =dict(), here are the fields you can retrieve: definitions, ipa, gender, masculine, feminine, pinyin, plural, romaji, romanization, simplified, source, sourceLink. Supported languages: - Spanish (es) - German (de) - French (fr) - Italian (it) - Russian (ru) - Japanese (ja) - Korean (ko) - Chinese (zh)

Visit productView on Hacker NewsApr 24, 2020
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, code, open · Missing: mac, agents, macos
61%61% 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.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
50%50% 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
39%39% 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 · Missing: arr, mrr, revenue
15%15% 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
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

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