A job crawler that finds the Careers page and scores each role against your profile.
Kai rebuilt his job crawler with Jev. From a company’s homepage, Jev finds the Careers entry point, picks which links to follow, recognizes job pages and scores each role against his profile. He reported about five minutes with an LLM and just over 20 seconds with Jev in his test. He packaged it as a skill.
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
@gregpr07 · Agents & browsers · ~$0.004 · ~7 s
@gregpr07
X post
Agents & browsers
~$0.004
~7 s
# Jev: AI Decisions as a Typed Function Call What I learned using TypeSafe's Jev for code review, and why its more surprising uses are browser control and generative UI.…
stacktoheap.com · Agents & browsers
stacktoheap.com
Resource
Agents & browsers
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Chrome extension that labels every post you scroll past on X with six typed questions per post, and counts what it costs in the corner.
oso95 · Agents & browsers
oso95
GitHub
Agents & browsers
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Chrome extension that scores draft posts and reply context before posting; optional media descriptions come from a separate vision model.
RafalWilinski · Agents & browsers
RafalWilinski
GitHub
Agents & browsers
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I 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 Show more
