Read the original at Lenny’s Newsletter ↗lennysnewsletter.com · subscriber post
By Lenny Rachitsky · lennysnewsletter.com · @lennysan on X · YouTube · LinkedIn
Lenny Rachitsky and researcher Noam Segal interviewed over 30 tech professionals about using AI in job hunts and found the strongest candidates built personal feedback loops with AI. The post packages those techniques into a free Claude Code-based Interview Coach that handles prep, mock interviews, transcript analysis, negotiation, and post-rejection debriefs.
Subscriber post — summary only01Key takeaways
- Interview prep is hard to improve because candidates rarely get feedback on why they passed or what interviewers valued.
- Top candidates used AI to analyze their own interview transcripts and prep, closing the feedback gap themselves.
- Set AI coaching to maximum directness and ask it to find reasons to reject you, rather than accepting polite praise.
- Differentiate by sharing spiky, specific points of view and earned insights, not generic answers any AI-prepped candidate could give.
- Keep the interview authentic: AI should surface your real experience better, not manufacture a persona you don't have.
“The best value I could offer wasn’t a list of tips but, instead, a way to plug-and-play the hard work these participants have already done.”Lenny Rachitsky · Lenny’s Newsletter
“Authenticity matters. AI can help you predict questions, craft answers, and walk in ready.”Lenny Rachitsky · Lenny’s Newsletter
Summary and takeaways written by PM Atlas; quotes are short excerpts. © the original author.