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develoom

develoom provides growth intelligence for engineering teams by automatically analyzing signals from GitHub, Slack, Linear, and Confluence. The platform maps PRs, tickets, docs, and threads to a company's career framework, creating a continuous performance picture that supports year-round development and review conversations. It offers two distinct dashboard views presenting the same data from both engineer and manager perspectives.

Traction –/10
HQ unknown
10+ followers
  • HR Technology
  • Data & Analytics
  • Enterprise Software
  • Software Only
Updated 9 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering performance reviews typically rely on periodic, subjective assessments that fail to capture the full scope of an engineer's contributions. Valuable work happening in design docs, ticket comments, PR reviews, and Slack threads goes unnoticed because it falls outside the code itself, leaving managers without a complete picture of growth and development.

Solution

develoom provides growth intelligence for engineering teams by automatically analyzing signals from tools like GitHub, Slack, Linear, and Confluence. It maps PRs, tickets, docs, and threads to a company's career framework, creating a continuous performance picture that supports year-round development and review conversations. The platform connects once to existing team tools and turns the daily trail of evidence into a unified view of each engineer's contributions and behaviors. By drawing on the tools already running a team, develoom ensures that growth is tracked continuously rather than only at review time, with two distinct views presenting the same underlying truth for both engineers and their managers.

Target Audience

develoom targets engineering teams and their managers at technology companies looking to move beyond code-centric analytics toward a fuller picture of engineering contributions and professional growth. Early access is currently limited to a small number of engineering teams.

Features

  • Automatic aggregation of signals from GitHub, Slack, Linear, Confluence, Google Calendar, and Google Docs
  • Career-framework mapping that aligns everyday contributions with company-specific performance behaviors
  • Continuous performance tracking that replaces periodic, snapshot-based evaluations
  • Two distinct dashboard views presenting the same data from engineer and manager perspectives
  • Non-intrusive notification system that only emails when there is something worth the user's time
This profile is AI-generated and may contain inaccuracies.