Keypup Engineering Intelligence Platform
Keypup helps software companies track engineering performance and team health. It is designed for engineering leaders who want to monitor DORA metrics and identify workflow bottlenecks through natural language prompts.
At a glance
- Best for
- Software companies, Engineering managers, CTOs, DevOps leads
- Pricing
- Annual plans start at $99/month for up to 2 connected units, with additional units costing $11/unit/month for the 3rd to 30th unit. Monthly billing starts at $123.75/month. A 14-day free trial is available.
- Key use cases
- SDLC Dashboard Generation, Bottleneck Diagnosis, Team Benchmarking, Engineering Data Normalization
- Integrations
- GitHub, GitLab, Bitbucket, Azure DevOps, Jira
- Official website
- Visit keypup official website
Keypup is an analytics platform for the software development lifecycle (SDLC). It connects to version control and project management tools to aggregate metadata, which an AI agent uses to build dashboards based on natural language descriptions.
Key Features
Autonomous AI Agent
Creates multi-insight dashboards and provides analysis of bottlenecks using plain English prompts.
DORA Metrics Tracking
Supports monitoring of Deployment Frequency, Lead Time, Change Failure Rate, and Mean Time to Recovery (MTTR).
SPACE Framework Burnout Detection
Designed to help identify potential developer burnout and collaboration issues.
SDLC Integrations
Connects to GitHub, GitLab, Bitbucket, Azure DevOps, and Jira to aggregate development metadata.
Custom Metrics Builder
Allows users to define their own logic and formulas for lead time and other engineering KPIs.
Reporting API
Provides a GraphQL API to programmatically access metrics for use in external tools or custom portals.
Use Cases
SDLC Dashboard Generation
Using natural language prompts to build dashboards for monitoring release trends or cycle times.
Bottleneck Diagnosis
Analyzing the development lifecycle to identify where work may stall, such as in PR reviews or QA cycles.
Team Benchmarking
Comparing performance habits across different teams to identify and scale efficient workflows.
Engineering Data Normalization
Linking metadata from Git repositories and Jira projects into a unified view.
Best For
- Software companies
- Engineering managers
- CTOs
- DevOps leads
Integrations
- GitHub
- GitLab
- Bitbucket
- Azure DevOps
- Jira
- CSV export
Pricing
Annual plans start at $99/month for up to 2 connected units, with additional units costing $11/unit/month for the 3rd to 30th unit. Monthly billing starts at $123.75/month. A 14-day free trial is available.
FAQ
How does Keypup pricing work?
- Pricing is based on 'units,' which are the number of repositories or projects connected to the platform. It does not charge per user.
Does Keypup access my source code?
- No, Keypup only accesses metadata such as pull requests, issues, and milestones; it does not fetch or store actual source code files.
Is there a free trial available?
- Keypup offers a 14-day free trial that does not require a credit card to start.
Source category: Software Development
Source subcategory: Analytics & Reporting
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Categories
Software Type
How AI is used
Keypup is an engineering intelligence platform that uses an AI agent to analyze SDLC metadata from tools like GitHub and Jira. It helps engineering leaders track DORA metrics and diagnose bottlenecks through natural language prompting. Pricing is based on the number of connected repositories or projects (units) rather than user seats.
Pros & Cons
Pros
- AI-driven dashboard creation may reduce manual configuration
- Supports common Git and project management tools
- SOC2 and ISO 27001 certified
- Includes unlimited users and contributors
Cons
- Base annual plan is limited to 2 connected units (repositories or projects)
- Expert support is an additional paid subscription
- Costs increase as more repositories or projects are connected
