AgentHub
https://www.agenthublabs.comThe simulation and evaluation engine for AI agents
AgentHub helps you catch and fix errors in your AI agents - before your users ever see them. Simulate real-world scenarios in curated RL environments for your agents - trace, evaluate, and improve agent behavior at scale. Generate large annotated datasets and experiment with different prompts, models, and configurations - all in one place - with clear visualizations of what’s working (and what’s not). Built by a former tech lead from Apple’s Foundation Model Eval team and a product engineer from MIT with experience working on agents at startups, AgentHub makes it easy to integrate your use case and start improving your agents quickly. Our streamlined onboarding process lets you get your agent eval environment up and running fast—no heavy lifting on your end. Close the feedback loop and build better agents, faster - with confidence.
Total Open and Closed Positions
Total open positions, and positions newly closed since the previous update
Department Headcount Over Time
Open positions per department · top 6 at any point in the window
Newly Opened and Closed Positions
Position Churn Rate
Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels
Time-to-Fill Distribution
Days from open to close · closed positions only
Salary Trend Over Time
Monthly median base salary · USD · annualized · p25/p75 dashed
Salary Range by Department
Employment Type
Technical vs. Non-technical
Open positions · by department
Top Roles by Department
Seniority Mix
Derived from job title keywords
Equity Range by Department
Top Skills
Top Tech Stacks
Skills Trend
Change in share of postings · recent 3 months vs. prior 3 months
Tech Stack Evolution
Positions opened per month · top 5 technologies