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Profiling Hacker News users based on their comments

sourceSimon Willison
calendar_todayMarch 22, 2026
schedule2 min read
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EXECUTIVE SUMMARY

Profiling Hacker News Users: A Deep Dive into AI and Privacy

Summary

This article explores the use of AI to profile users on Hacker News based on their comments, highlighting the ethical implications and technical methods involved. The author shares insights from their personal experimentation with comment analysis using AI tools.

Key Points

  • The profiling prompt used is "Profile this user" with a user's last 1,000 comments from Hacker News.
  • Comments are accessed via the Algolia Hacker News API, which supports open CORS headers.
  • The author utilizes Claude Opus 4.6 for generating user profiles based on comments.
  • Simon Willison, the author, is a prominent independent software developer and co-creator of Django.
  • He emphasizes the importance of security in AI, coining terms like "prompt injection" and discussing risks associated with AI tools.
  • Willison's professional identity includes being on the board of the Python Software Foundation and running a popular blog.
  • He advocates for using coding agents as productivity enhancers rather than replacements for programmers.
  • The article raises concerns about the ease of deriving personal information from public comments, highlighting privacy issues.

Analysis

The article illustrates the intersection of AI, user profiling, and privacy concerns, emphasizing how easily accessible data can be analyzed to create detailed user profiles. This raises ethical questions about consent and the potential misuse of such technology.

Conclusion

IT professionals should be aware of the implications of using AI for user profiling and ensure that ethical considerations are prioritized in their applications. Implementing robust privacy measures and promoting transparency in data usage is essential.