Raycast

Boost macOS productivity with a keyboard-first command launcher

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 ⚡ Productivity 🕒 Updated
Visit Raycast ↗ Official website
Quick Verdict

Raycast is a macOS keyboard-first productivity launcher and command palette that centralizes apps, system actions, and developer tools into a single bar. It suits power users, developers, and teams who want to automate repetitive tasks, run script commands, and access integrations without leaving the keyboard. Raycast offers a functional free tier for individuals and paid Pro and Team plans for shared commands and premium features, making it accessible for solo users while scaling for teams.

Raycast is a keyboard-first macOS productivity launcher that replaces and extends Spotlight with a command bar that runs apps, script commands, and integrations. Its primary capability is surfacing app actions, snippets, and developer workflows from a single, fuzzy-searchable command palette. Raycast’s key differentiator is an Extensions Store and scriptable command system that lets teams share shortcuts and automate processes without an external automation app. It serves developers, product teams, and power macOS users who want to shave minutes off daily tasks. Raycast offers a functional free tier for personal use plus Pro and Team paid tiers for advanced AI, sharing, and admin controls.

About Raycast

Raycast is a macOS-native productivity launcher that launched to give keyboard-first users a faster way to search, control, and automate their desktops. Founded around 2019, Raycast positions itself as an alternative to Spotlight and Alfred with a stronger focus on integrations, developer-friendly script commands, and a curated Extensions Store. The core value proposition is reducing context switches: instead of opening multiple apps you type once to run a command, launch an app, call an API, or perform a git action. Raycast runs only on macOS and emphasizes low-latency local UI with cloud features for syncing and team sharing.

Under the hood Raycast exposes several concrete capabilities. The command bar offers fuzzy search to open apps, files, or settings and can execute Script Commands that run shell, Node, Python, or AppleScript and return structured results. The Extensions Store hosts community and official extensions for GitHub, Jira, Slack, Notion and more, letting you create commands that list PRs, create Jira issues, or post messages. Clipboard History, Snippets, and Quicklinks store frequently used text and URLs for instant insertion. Raycast also includes Raycast AI — a built-in assistant that can summarize text, explain code, and draft messages; it supports using a user-provided OpenAI API key for GPT-4 access when available.

Pricing is simple and tiered. Raycast’s core app is free for personal users and includes the command bar, many community extensions, snippets, and local script commands. Pro unlocks Raycast AI credits, advanced features such as private extension sharing, and priority support — Pro pricing is approximately $5–$6/month billed monthly or cheaper annually (price may vary). Team plans add centralized billing, shared commands and workspaces, admin controls, and start at a higher per-seat rate (approximately $10–$12/user/month). Enterprise pricing and SSO are sold via custom quotes for large organizations.

Raycast is used by software engineers to run git actions, open pull requests, and run local scripts without leaving the keyboard, and by product managers to triage issues and jump between Jira tickets and Slack channels quickly. For example, a Senior Engineer might cut PR review time by running git diffs and opening PR pages from the command bar, while a Product Manager uses shared commands to create and assign Jira tasks from templates. If you need deep automation sequences or extensive cross-platform support, compare Raycast to Alfred to pick the workflow model that fits your team best.

What makes Raycast different

Three capabilities that set Raycast apart from its nearest competitors.

  • A community Extensions Store that exposes scriptable commands for third-party services.
  • Allows users to supply their own OpenAI API key to power Raycast AI features.
  • Team workspaces let administrators share private commands and manage billing per seat.

Is Raycast right for you?

✅ Best for
  • Developers who need instant git and code actions from the keyboard
  • Product managers who require fast issue triage across Jira and Slack
  • IT teams who want shared admin-controlled commands and central billing
  • Power macOS users who want to reduce app switching and automate tasks
❌ Skip it if
  • Skip if you need a cross-platform launcher that works on Windows or Linux.
  • Skip if you require heavy visual workflow builders beyond script commands.

✅ Pros

  • Keyboard-first UI that centralizes apps, scripts, and integrations in one bar
  • Extensible via community and private extensions; supports running custom scripts
  • Team features for sharing commands and central billing across seats

❌ Cons

  • macOS-only: no official Windows or Linux client limits cross-platform teams
  • Some advanced AI or enterprise features require Pro/Team paid plans

Raycast Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free Free Command bar, many community extensions, local scripts, no Pro AI credits Individual users who want core productivity features
Pro Approx. $5–$6/month Adds Raycast AI credits, private extension sharing, priority support Power users needing AI features and private commands
Team Approx. $10–$12/user/month Shared workspaces, centralized billing, admin controls, team sharing Small teams who need shared commands and governance
Enterprise Custom SSO, compliance controls, custom onboarding and SLAs Large organizations requiring SSO and enterprise support

Best Use Cases

  • Software Engineer using it to open and review pull requests 40% faster
  • Product Manager using it to create and assign Jira tickets from templates
  • Support Engineer using it to fetch logs and open related tickets in seconds

Integrations

GitHub Jira Slack

How to Use Raycast

  1. 1
    Install Raycast on macOS
    Download Raycast from raycast.com and open the app. Grant Accessibility and Full Disk Access if prompted so the command bar can control apps and paste snippets. Success looks like the Raycast icon in the menubar and the Command Bar appearing with ⌘Space.
  2. 2
    Open the Command Bar
    Press the Raycast hotkey (default ⌘Space) to open the command bar. Type an app name, ‘open’ plus file name, or a command keyword to see immediate fuzzy results. Success is seeing live suggestions and hitting Enter to run an action.
  3. 3
    Install an extension
    Type Extensions to open the Extensions Store, search for GitHub or Jira, and click Install. Configure any required API keys in the extension settings. Success looks like the extension commands appearing in Command Bar results.
  4. 4
    Run a Script Command
    Create or add a Script Command via the Extensions settings or ~/.config/raycast/scripts; give it a trigger and script. Invoke it from the command bar to run shell/Node/Python scripts and return structured output in the results area.

Ready-to-Use Prompts for Raycast

Copy these into Raycast as-is. Each targets a different high-value workflow.

Summarize Pull Request Quickly
Create concise PR summary for reviewers
You are a concise pull-request summarizer. Role: read the PR title, description, and diff summary and produce a reviewer-ready digest. Constraints: 1) Keep summary to 3 short bullets (what changed, why, risk), 2) Add a single-line QA checklist (2 items), 3) Suggest 1-2 ideal reviewers based on touched areas. Output format: Plain text with bullets then QA checklist then reviewer suggestions. Example input: "Title: Improve auth token handling; Diff: auth.js +45/-12, tests updated; Description: fixes token refresh race". Example output: "- What: ..."
Expected output: One plain-text PR digest: 3 bullets, a 2-item QA checklist, and 1-2 reviewer suggestions.
Pro tip: If the PR touches docs or infra, explicitly call out non-code reviewers (e.g., Docs, DevOps) to speed review routing.
Create Standard Jira Ticket
Generate complete Jira ticket body quickly
You are a ticket author assistant. Role: convert a short sentence and metadata into a ready-to-create Jira ticket body. Inputs: title, priority (P1-P5), component, reporter, short description line. Constraints: 1) Produce a short summary (one sentence), 2) Provide Description with context, steps to reproduce (3 steps max), expected vs actual, acceptance criteria (3 clear, testable items), labels, and suggested sprint. Output format: JSON object with keys: summary, description, steps_to_reproduce, expected, actual, acceptance_criteria, labels, sprint. Example: input: "Login fails on SSO".
Expected output: A JSON object containing Jira fields: summary, description, steps, expected/actual, 3 acceptance criteria, labels, and sprint suggestion.
Pro tip: Include a clear first acceptance criterion that verifies the user-facing symptom; it's the one QA will check first.
Generate Structured Release Notes
Produce release notes from PR list
You are a release notes writer. Role: take a version and a list of merged PRs (title, PR number, author, labels) and produce concise release notes. Constraints: 1) Output three sections: Highlights, Bug Fixes, Breaking Changes; 2) At most 6 bullets per section; turn each PR into one 10–16 word bullet mentioning effect and PR#; 3) Add a one-sentence upgrade guidance if Breaking Changes exist. Output format: markdown with headings '## Highlights', '## Bug Fixes', '## Breaking Changes', and '## Upgrade Notes' when applicable. Example PR line: "#432: Improve cache invalidation — reduces stale reads (authored by @alice)".
Expected output: Markdown release notes with 3+ sections, up to 6 bullets each, and optional upgrade guidance.
Pro tip: Group small bugfix PRs by component in bullets (e.g., 'UI: fixed X (PR#)') to keep notes scannable for non-dev stakeholders.
Compose Incident Slack + Ticket
Create incident alert and investigation ticket
You are an incident comms specialist. Role: from a short incident summary (severity, observed time, system affected, immediate impact), produce (A) a Slack alert and (B) a ticket draft for the incident tracker. Constraints: 1) Slack alert <=240 characters, includes severity, impact, link to ticket placeholder, and CTA; 2) Ticket draft must include Title, Severity, Affected Services, Timeline (entries), Impact, Immediate Mitigation, Next Steps, Owner. Output format: JSON with keys 'slack_alert' and 'ticket' (ticket as nested fields). Example input: "sev2, payments timeout 10:12–10:25, 25% checkout failures".
Expected output: A JSON object with a <=240-character Slack alert string and a structured ticket object containing title, timeline, impact, mitigation, next steps, and owner.
Pro tip: Always include a reproducible metric (e.g., error-rate or % users affected) in the Impact field — it helps prioritize response and postmortems.
Generate Unit Test Skeletons
Produce test skeletons for functions or classes
You are a senior test engineer. Role: given a language (jest/pytest), a exported function/class signature, and a short description, produce a complete unit test skeleton with: 1) a table/list of test cases (name, input, expected output, edge case reason), 2) test file with imports, setup/teardown stubs, mocks/stubs where external deps exist, and example assertions, 3) suggested test data and boundary values. Constraints: include at least 5 distinct test cases including error/edge cases. Output format: start with the test-case table in markdown, then provide the test file code block for the requested framework. Example input: "lang=jest; function: calculateTax(income:number, deductions:number[]); description: progressive tax bands".
Expected output: A markdown test-case table with ≥5 cases followed by a ready-to-run test file skeleton in the requested framework.
Pro tip: Map each test case to exactly one behavioral expectation and name tests accordingly (e.g., 'returns zero for zero income') — this makes failures immediately actionable.
Create Safe Deployment Runbook
Produce step-by-step deployment checklist with rollback
You are an SRE creating a deployment runbook. Role: for a service name and target version, produce a numbered, actionable runbook covering pre-deploy checks, exact deployment commands, canary rollout steps, smoke tests (with commands and expected success criteria), rollback commands, post-deploy validations, monitoring thresholds to watch, and stakeholder notification templates. Constraints: 1) Include exact shell/CLI commands where applicable, 2) Provide a 5-minute and 30-minute post-deploy checklist, 3) Include escalation contacts and rollback decision criteria. Output format: a numbered checklist grouped by phase: Pre-deploy, Deploy, Canary, Smoke Tests, Rollback, Post-deploy, Notifications.
Expected output: A numbered, phase-grouped runbook with commands, smoke tests + success criteria, rollback steps, monitoring thresholds, and notification templates.
Pro tip: Add a single 'blast radius' paragraph at the top specifying affected clusters/regions and a simple binary rollback trigger (e.g., error-rate > X for Y minutes) so operators decide fast under pressure.

Raycast vs Alternatives

Bottom line

Choose Raycast over Alfred if you prioritize a managed Extensions Store and team-shared commands rather than isolated workflows.

Frequently Asked Questions

How much does Raycast cost?+
Raycast core is free; Pro from about $5/month. The free tier includes the command bar, many community extensions, script commands, and local features. Pro adds Raycast AI credits, private extension sharing, and priority support. Team plans are billed per user and add shared workspaces, admin controls, and centralized billing; enterprise pricing is custom.
Is there a free version of Raycast?+
Yes — Raycast offers a free personal version. The free tier includes the main command bar, community extensions, snippets, clipboard history, and local script commands. It’s suitable for solo users who want core productivity benefits. Upgrading to Pro or Team unlocks AI credits, private sharing, team management, and priority support.
How does Raycast compare to Alfred?+
Raycast focuses on a managed Extensions Store and shared commands. Alfred emphasises local workflows and deep macOS automation via Powerpack. If you want curated community extensions and team-shared commands, Raycast is the modern choice; if you need complex local automation and macOS-only power workflows, Alfred may fit better.
What is Raycast best used for?+
Raycast is best for keyboard-driven task automation and fast context switching. Use it to open apps, run script commands, query GitHub or Jira, insert snippets, and invoke AI summaries. It’s particularly effective for developers and product teams to reduce context switching and automate repetitive, text-driven tasks.
How do I get started with Raycast?+
Install Raycast, grant required macOS permissions, and open the Command Bar with ⌘Space. Install a GitHub or Jira extension from Extensions, add your API key in Settings, and try a built-in script command. Success is running an extension command from the bar and seeing immediate results.

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