Autonomous AI agent applied to 552 jobs in 2 weeks while sleeping
Autonomous Job Application Agent: 552 Targeted Applications in 2 Weeks
A developer built an autonomous OpenClaw-based agent that applied to 552 jobs in 2 weeks while they slept. Unlike blind mass-application bots, this agent reads every job description and filters intelligently.
Smart Filtering Pipeline: JD Analysis, Experience Matching, and Salary Thresholds
The agent runs a smart filtering pipeline before each application:
- JD analysis: LLM reads every single job description before applying
- Experience matching: If a job says "8+ years experience" but is titled "Junior," it skips it
- Salary threshold: Jobs below a minimum salary are automatically filtered out
- Relevance scoring: Only high-relevance matches get applications
- Autonomous operation: Runs overnight, applying while the user sleeps
The 552 number is significant because every application was a qualified match, not a spray-and-pray approach.
552 High-Relevance Job Applications Submitted While Sleeping
552 targeted job applications in 2 weeks, fully autonomous. All high-relevance matches based on LLM analysis of each job description.
Built by an Anonymous Developer on r/SideProject
Anonymous developer, posted on r/SideProject.
Results: 552 targeted job applications in 2 weeks, fully autonomous
The agent uses an LLM to read every single JD before applying. If a job mentions '8+ years experience' but is titled 'Junior,' it skips it. If the salary is below my threshold, it skips it. So the 552 applications are actually high-relevance matches, not blind shots.