Daily Language Learning
This workflow is designed to provide language learners with new words daily by automatically scraping popular articles from Hacker News, extracting and translating English words from them, and ultimately storing the selected bilingual vocabulary in a database to be sent to users via SMS. It addresses the challenges of vocabulary acquisition, timely content updates, and insufficient learning reminders, helping users efficiently accumulate new words and improve their language skills. It is suitable for various types of language learners and educational institutions.
Workflow Name
Daily Language Learning
Key Features and Highlights
This workflow automatically retrieves the top three trending article titles from the Hacker News homepage every day, extracts the English words from these titles while removing numbers and duplicates, and translates the selected words into German using the LingvaNex translation service. The curated bilingual vocabulary is then saved to an Airtable database. Finally, the system sends the selected words of the day to users via SMS, providing daily language learning reminders.
Highlights include: automatic fetching of the latest trending content, intelligent word filtering, accurate translation, automated data storage and management, and instant SMS notifications—helping users efficiently and effortlessly expand their vocabulary.
Core Problems Addressed
This workflow addresses challenges in language learning such as difficulty in acquiring vocabulary, untimely learning content, cumbersome word organization, and lack of learning reminders. Through automation, users no longer need to manually search for and organize words; instead, they receive high-quality, up-to-date learning content daily, enhancing learning efficiency and consistency.
Use Cases
- Language enthusiasts accumulating new vocabulary daily
- Educational institutions or training centers delivering daily vocabulary lists
- Users aiming to expand vocabulary through news reading
- Professionals seeking efficient learning during fragmented time slots
Main Workflow Steps
- Scheduled Trigger: Initiate the workflow daily at 8 AM
- Fetch Articles: Retrieve the top 3 trending article titles from Hacker News homepage
- Extract Words: Parse titles, remove numbers, and filter unique English words
- Translate Words: Use LingvaNex API to translate English words into German
- Organize Data: Filter and format the English words with their corresponding translations
- Save Records: Store the day’s vocabulary in the Airtable database
- Generate Message: Compile the top five words and their translations into SMS content
- Send Reminder: Deliver the daily vocabulary via Vonage SMS API
Systems and Services Involved
- Hacker News (news data source)
- LingvaNex (translation service)
- Airtable (data storage)
- Vonage (SMS delivery)
Target Audience and Value
Suitable for all types of language learners, especially those who want to expand their vocabulary through current news. It is also valuable for educators and training institutions requiring automated learning reminders and vocabulary management. This workflow helps users achieve daily automated learning, improve language skills, and develop a consistent study habit.