Analyze and understand complex agent workflows with clarity.
We help people understand their agent workflows and where they went wrong. We met early on at MIT and built a bunch of projects together for fun. Of course when the AI wave took over, we were excited about agents. We made our own agents, and we always found it annoying figuring out if they consistently worked or not. We believe that it should be easy to know what your agents are doing and why, no matter the use case or the tech stack. So that's exactly what we're helping companies achieve; we started building a few weeks ago and are working with our design partner to get deep observability and insights into their agent executions. The future is autonomous; AI agents will be everywhere. Mohi can make sure that we humans know what these agents are doing.
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