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Litmus

Litmus links a company’s code repositories, ticketing system, and job descriptions to automatically generate interview pipelines that reflect the team’s actual development workflow.

San Francisco, United StatesFounded 20253500+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering hiring processes rely on generic technical assessments that do not reflect a team’s actual development workflow, leading to hires who may not perform well on real project tasks. This mismatch causes wasted interview time, candidate drop‑off, and uncertainty about a new hire’s ability to contribute from day one.

Solution

Litmus connects a company’s code repositories, ticketing system, and job descriptions to automatically generate interview pipelines that mirror the team’s current development practices. The platform creates technical assessments scoped to the features the team is about to ship, evaluating candidates on both the correctness of their solution and the quality of their implementation approach. Assessment results are scored and fed back into the hiring workflow, and the entire pipeline synchronizes with applicant tracking systems such as Ashby, Greenhouse, and Lever for seamless candidate management.

Target Audience

Litmus is aimed at engineering hiring managers, talent acquisition teams, and technical recruiters at fast‑moving software companies that need to assess candidates against real‑world development tasks.

Features

  • Direct integration with GitHub (and other repositories) to pull upcoming feature tickets and code context
  • Automatic generation of custom technical assessments aligned with the team’s next development work
  • Dual scoring model that evaluates both the functional outcome and the implementation quality of candidate submissions
  • Sync capability with major ATS platforms (Ashby, Greenhouse, Lever) for one‑click candidate status updates
  • Support for custom assessment authoring and upload for additional flexibility
  • Model Context Protocol (MCP) server integration enabling AI‑assisted hiring agents such as Claude Desktop or Cursor to interact with the platform
This profile is AI-generated and may contain inaccuracies.