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Subreddits:
iphone, android, productivityapps
Data Extraction Prompt:
Extract what features the poster is looking for in an app and what category of app it is (productivity, social media, etc.) and what date it was first posted.
Thread Keywords:
"looking for an app" OR "i need an app"
Subreddits:
stocks, wallstreetbets
Data Extraction Prompt:
Create a summary of what the post says about Palantir stock with a sentiment analysis (good, bad, neutral) and what date it was first posted.
Thread Keywords:
"Palantir"
Subreddits:
cybersecurity, privacy, hacking
Data Extraction Prompt:
Extract what service got breached, what kind of data was leaked, how many users/accounts were affected, when the breach occurred, and what date it was first posted.
Thread Keywords:
"data breach" OR "data leak"
Enter subreddit names separated by commas (e.g. 'AskReddit, technology'). Leave empty to search all subreddits.
Enter the data extraction prompt. This is the prompt that will be used to extract data from the subreddits. You can request advanced transformations like sentiment analysis, summaries, and filtering of the extracted data.
Enter keywords to search for in threads. Use quotes for exact matches (e.g. "exact phrase") and operators like AND, OR, NOT for advanced searches.
Enter the number of results you want to return. The default is 10. You can increase this to get more results, but be aware that the number of results is limited by the number of threads found.
Enter the number of threads to skip. This is useful if you want to skip the first N threads.
Enter a JSON schema to force the AI model to return data in a specific format.