Find out what readers of Hacker News think about any topic!
Ask Hacker Search is an LLM-powered version of Hacker News' Ask HN that leverages Hacker News' historical data to answer questions.
It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on topics of interest to HN readers.
Ask your own question:
Tips - How to use Ask Hacker Search effectively
- Formulate your query as a question addressed to the HN readership (e.g. “What do you think about...”)
- Familiarize yourself with the product by trying one of the sample questions below.
- If the results are not sufficiently relevant, try making your question more precise by disambiguating it (e.g. “What do you think about clerk for authentication” instead of “What do you think about clerk”)
- We cover all comments from the past 3 years. If you're interested in older data, or want to browse submissions instead of comments, try our search feature out instead!
Or read one of these sample questions:
Thirsty for more? Try our semantic search for Hacker News submissions.