Insights
Opinionated essays on running a sharper search, plus short guides for the specific CV question you came here with.
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TypeSafe's Jev claims LLM-like judgment at a fraction of the price. I tested that on a task where judgment matters, ranking 241 real jobs for a candidate with GPT-6 Astra as the reference. Jev came out level with GPT-5.6 models that cost 24 to 125 times more.

Everyone tells you to start fresh on Monday morning. By the time you press apply, half the internet is already in the queue ahead of you.

Recruiters are back from the beach and your CV is still where you left it in June. A small delay now quietly costs more than anyone tells you.

The words that feel most senior are the ones recruiters have learned to read past. What survives on a CV is evidence: scope, decisions, constraints, results.

Outcomes, numbers and honest scope, not tool names. Guide the recruiter's first skim without making the page noisy.

If your job search feels like it is going nowhere, the problem is probably not you. It is the cadence you are running it at.

The real cost of job searching is usually not the tool. It is the time spent drifting, the opportunity cost of delay, and the output quality you lose when a workflow cuts too many corners.

I got 10 interviews in 4 weeks during the worst job market in years. The secret wasn't applying more, it was letting an AI tell me where I was wrong about my own chances.

OutRung is not here to hand you a perfect CV from thin air. It makes you do the work because better source material leads to better judgement, stronger applications, and less wasted effort.

Realising that most of my applications were just wishful thinking was a tough pill to swallow but it finally changed how I look for work.

Sending the same CV to 150 jobs can feel efficient right up until the silence starts. Repeating one weak experiment at scale is still a weak experiment.
Everything in these essays is built into the product. Free in early access.