Spell Checking a Year's Worth of Hacker News
Summary
The post outlines an experimental pipeline that uses language models to identify spelling errors on Hacker News posts, fetches author emails, and sends personalized correction emails. It discusses the end-to-end process, costs, false positives, manual review needs, and lessons on scaling AI-assisted editorial outreach, including survival analysis of response times and ethical considerations.