Sync engine to share data across engineering teams in enterprises

At ReJot, we're building a synchronization engine to greatly reduce the complexity of data sharing between backend services within enterprises. The traditional approach is Event Streaming, where events are published to a platform like Kafka. Kafka not only requires significant effort to operate, it also forces engineers to use events. Events come with inherent complexity—they encode something happening rather than something being (i.e., state). Our approach is based on replication, where state is transferred directly instead of requiring a back-and-forth conversion to events. We provide primitives to enable teams to break data silos, while keeping in mind data ownership and provenance. Teams define what data their backend publishes and requires, and we'll make sure everything is reactively up-to-date. ReJot works on top of existing infrastructure such as Postgres.

developer-toolsenterprise-softwareinfrastructuredatabases

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