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P10Y

P10Y provides a SaaS analytics platform that quantifies engineering productivity by analyzing the content of code contributions using a research-backed model. It integrates with Git repositories to deliver objective output scores for team sizing, outsourcing evaluation, technical due diligence, and performance benchmarking via a cloud dashboard.

Austin, United StatesFounded 2023710+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Software engineering teams lack objective, source-code based metrics to accurately assess productivity, making it difficult to size teams, evaluate outsourcing partners, conduct technical due diligence, or measure tool ROI.

Solution

P10Y offers a data-driven analytics platform that evaluates the content of code contributions to quantify engineering output. The model, grounded in Stanford research, measures the impact of code changes rather than relying on indirect proxies such as lines of code or commit frequency. By integrating with popular Git providers, the service ingests repository data, applies its proprietary analytics, and delivers objective productivity scores. These insights enable organizations to make evidence-based decisions about team sizing, outsourcing selection, M&A technical assessments, performance management, and benchmarking. The platform is delivered as a SaaS solution that requires no technical setup from the user, allowing anyone in the organization to access the metrics through a web interface.

Target Audience

Primary customers are engineering leadership teams, product managers, and corporate development groups in mid‑size to large technology enterprises that need quantitative insight into software development productivity.

Features

  • Source-code level analysis of code contributions using a research-backed productivity model
  • Direct integration with major Git hosting services for automated data collection
  • Objective output metrics that quantify engineering impact for team sizing and performance decisions
  • Tools for technical due diligence, outsourcing partner evaluation, and tool ROI analysis
  • Benchmarking capabilities for internal and external productivity comparison
  • Cloud-based dashboard with visualizations and export options for easy consumption by stakeholders
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