Incandor
https://www.incandor.comBehavioral intelligence infrastructure for anti-fraud
Incandor detects fraud on banking and fintech platforms by learning how every user physically behaves — mouse dynamics, keystroke timing, scroll patterns, and on mobile, how they hold their phone. Founded by two Stanford engineers and backed by Y Combinator, Incandor builds a behavioral map of every user on your platform — no fraud labels or historical data required. At the individual level, it identifies account takeovers with >99% accuracy. At the population level, coordinated rings, mule operators, and coerced sessions separate out naturally. Rather than a black-box risk score, fraud teams query the map via a programmable API.
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