
Scalar Field
https://www.scalarfield.ioReinventing the trading terminal — one intelligent agent at a time.
We’re building an AI-powered Bloomberg Terminal using Financial Agents. I used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology — and we’re using that experience to reimagine how markets are analyzed and traded. Scalar Field is built around a simple idea: most people log into a terminal because, consciously or subconsciously, they’re trying to validate a hypothesis. But today’s terminals don’t help with that. They’re dashboards — not thinking tools. So we built Scalar Field to change that: a platform where users can test any market hypothesis instantly using intelligent agents. You can spin up agents that react to market events, run backtests across data from multiple asset classes, and even trigger trades when specific conditions are met — all in one place.
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