Reinventing 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.

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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