@sheemamoto: SpaceXAI engineer, Lauren Tan: "250 applications, two years, zero offers. Then he stopped applying as one engineer and …

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Summary

A SpaceXAI engineer, Lauren Tan, describes his job search struggles and showcases how he used GrokBot agents to autonomously ship over 2000 PRs, highlighting the gap in utilizing AI agent capabilities.

SpaceXAI engineer, Lauren Tan: "250 applications, two years, zero offers. Then he stopped applying as one engineer and showed up as one engineer running 30 agents. We offered him $850,000. 99% of people use GrokBot for 1% of its real power - one agent, no loop, no graph. Last month my team of 30+ GrokBot agents shipped 2000+ PRs, fully autonomous: a Chief of Staff, two PM agents and 20+ coding agents. That's not a skill gap. That's a stack gap, and it takes one evening to close." GrokBot → Chief of Staff → PM Agents → 20+ Coding Agents → Loop & Graph → 2000 PRs In 38 minutes, a SpaceXAI engineer explains how to build a team of GrokBot agents that works while you sleep. Research → Build → Launch → Improve This is worth more than a $1000 agentic engineering course. Skip Netflix today and watch it
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Cached at: 09/25/26, 02:34 AM

SpaceXAI engineer, Lauren Tan:

“250 applications, two years, zero offers. Then he stopped applying as one engineer and showed up as one engineer running 30 agents. We offered him $850,000.

99% of people use GrokBot for 1% of its real power - one agent, no loop, no graph. Last month my team of 30+ GrokBot agents shipped 2000+ PRs, fully autonomous: a Chief of Staff, two PM agents and 20+ coding agents.

That’s not a skill gap. That’s a stack gap, and it takes one evening to close.“

GrokBot → Chief of Staff → PM Agents → 20+ Coding Agents → Loop & Graph → 2000 PRs

In 38 minutes, a SpaceXAI engineer explains how to build a team of GrokBot agents that works while you sleep.

Research → Build → Launch → Improve

This is worth more than a $1000 agentic engineering course.

Skip Netflix today and watch it

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