Kai on X: I rebuilt my job crawler with Jev.
@hqmank@hqmanklisted 53m agoreviewed by JevI rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. Jev identifies the Careers entry point, chooses which links to follow, recognizes job pages, and scores each role against my profile. This is where Jev makes sense to me: automation that needs lots of small decisions, with faster responses and lower costs than calling an LLM at each step. Packaged it as a skill: jev-job-hunter. Demo below. ❤️ 75 likes on X
- Author
- @hqmank
- Use case
- Sales & Leads
- Added
- 2026-09-25
- Time
- ~5 min
All figures come from the author. Check the source before you quote them.
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Jev guides for this use case
- What people actually build with Jev, by use caseAll 21 use cases with live counts from real submissions, plus what each one is actually for.
- How Jev sorts a build into one of 21 use casesThe 21 criteria Jev classifies against, published in full, plus what the reviewer sees and how ambiguity is handled.
- Jev pricing, and what a real build actually costsPer-decision cost, the free-output explanation, and the input-price discrepancy nobody else flags.
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