The short version

Side by side

TiiiimeEverhour
Built forIndividuals and teams on MacTeams and agencies
PlatformsNative macOS app (SwiftUI)Web app, browser extension, Mac desktop app
Linear workflowSearch and start any Linear issue from a global QuickStart hotkey, from any appTimer controls embedded in Linear's web UI via browser extension
Linear accessRead-only OAuthSyncs Linear projects and issues into Everhour
Where your data livesYour Mac and your iCloudEverhour's cloud
BillingRates per project or activity, invoice-ready CSVBudgets, invoicing, expenses, payroll
AI assistant accessCLI + MCP server (Claude, ChatGPT)Not a focus
Pricing$4.99/month or $39.99/year, every feature includedFree for small teams; paid Team plan from $8.50/seat/month with a 5-seat minimum*

*Everhour pricing as listed on everhour.com/pricing in October 2026, billed annually. Check their site for current prices.

Where Everhour is the better fit

Everhour is built around teams: shared project budgets, timesheet approvals, resource planning and integrations with many project tools beyond Linear (Asana, Trello, Jira, GitHub and more). If your team works across Windows and Mac, or needs payroll and resource planning, Everhour covers more ground.

Where Tiiiime is the better fit

Starting a timer shouldn't need a browser tab

Everhour's Linear integration lives inside Linear's web UI. Tiiiime lives in your menu bar: press⌃⌥⌘Space in your editor, terminal or Figma, type the issue ID, press return. You never switch windows to start, stop or switch tasks.

No five-seat minimum

Everhour's paid plan is priced per seat with a five-seat minimum. Tiiiime has no minimum: start on your own or bring the whole team, with every feature in the one plan.

Your time stays yours

Tiiiime connects to Linear with read-only access and keeps your sessions on your Mac, synced through your own iCloud. Nothing is stored on a Tiiiime server.

Your AI can read your hours

Tiiiime's MCP server lets Claude or ChatGPT answer "what did I spend the most time on this week?" or start tracking a Linear issue for you, using your real data.