Linear
by Linear · Issue tracking, planning and agent workflows for product teams
BenchRank score
Screenshots of Linear
Homepage
Overview
Linear is an issue tracker and product planning tool covering triage, projects, initiatives, cycles and documents. Conversations and customer feedback are turned into issues that are routed, labelled and prioritised, then tracked through to code review using structural diffs inside Linear. AI agents can be assigned issues alongside people, and dashboards report progress.
- Best for
- Product and engineering teams planning and building software with AI agents in the loop.
- Pricing
- Free plan at $0, then $10 per user/month for Basic and $16 per user/month for Business, both billed yearly; Enterprise is custom-priced with annual billing only.
- Runs on
- WebiOSAndroidmacOS
Strengths and trade-offs
Strengths
- Free plan includes the agent platform and Linear Agent
- Unlimited members on every plan, including the free one
- Code review with structural diffs happens inside Linear
- Issues, projects, cycles and initiatives in one tool
Trade-offs
- Free plan capped at 250 issues, 2 teams and 10MB uploads
- Coding sessions and Loops require AI credits on top of the plan
- SAML, SCIM, audit log and HIPAA compliance are Enterprise-only
- Only yearly-billed rates are published; no monthly rate shown
How Linear markets itself
A structured read of the promise, proof and page design on Linear’s captured homepage.
Homepage capture
“The product development system for teams and agents”
- Angle: AI-native
- Hero: Product screenshot
Pricing
Published plans and prices from Linear’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Linear pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim Linear to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.