Commenters criticized the article as an anecdote that reinforces biases rather than illuminating the job market. Users like lancebeet and sublimefire said the piece offers one-sided evidence - parental praise and no resume or interview-stage data - and argued the author should have questioned Princeton or recruiters. Several people (crabbone, tgv) blamed automated screening and broken filtering for washing out qualified applicants, while spystath and others emphasized that personal connections remain the decisive factor. A few noted timing and policy: syngrog66 pointed to Big Tech layoffs and immigration/visa politics as aggravating conditions, whereas ratsimihah observed that demand still exists in hot niches like AI/ML.
Commenters also debated causes of the candidate’s failure. Fooker and syngrog66 suggested that a PhD’s deep specialization can reduce hireability for general roles, while Revanche1367 pushed back that many programs require breadth. Sigmoid10 and noufalibrahim emphasized communication, presentation, and luck as crucial, with dataflow and jltsiren noting exceptions where raw results trump social skill (e.g., hedge funds). Others proposed alternatives - gig work or trades (pythonRon, feverzsj) - or demanded hard numbers on interviews and stages (littlexsparkee) to judge whether this case reflects broader systemic problems.
Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.
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