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A student built a job search engine for his laid off dad, and it got him hired

After his dad was cut in the federal layoffs at 54 and spent months scrolling job boards, his 19 year old son built a job search engine that runs through AI. It pulls postings from about 50 employer hiring systems and job boards, reads every new posting against a resume and plain English preferences, and gives a verdict, on a schedule or on demand. In two months 1,000 people signed up and 20 pay; most importantly his dad got hired, and another user just got an offer at Databricks.

How it works

  1. Pull postings from employer hiring systems and boards
  2. Match each against the resume and dealbreakers
  3. Verdicts delivered from the terminal
  4. Searches run on a schedule
  5. His dad hired within two months

Why it’s worth knowing

It started as one family's problem and the proof is a person, not a metric: the dad it was built for got the job.

Where it’s from

Summarized from a public post on reddit.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
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