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Glanceables

github.com

Glanceables is a macOS desktop application that allows users to select specific areas of websites and display them as widgets on their desktop. It automatically refreshes these web clips and notifies users of any changes, aiming to simplify web monitoring without full browser interaction.

Features
0/14
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No common features found

Pricing
Freemium
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Free

$0.00 monthly
  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month (Free for public repositories)
  • 500MB of Packages storage (Free for public repositories)
  • Issues & Projects
  • Community support

Team

$4.00 per user
Popular
  • Everything included in Free
  • Access to GitHub Codespaces
  • Protected branches
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • Required reviewers
  • Pages and Wikis
  • Environment deployment branches and secrets
  • 3,000 CI/CD minutes/month (Free for public repositories)
  • 2GB of Packages storage (Free for public repositories)
  • Web-based support

Enterprise

$21.00 per user
  • Everything included in Team
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Repository rules
  • Audit Log API
  • SOC1, SOC2, type 2 reports annually
  • FedRAMP Tailored Authority to Operate (ATO)
  • SAML single sign-on
  • Advanced auditing
  • GitHub Connect
  • 50,000 CI/CD minutes/month (Free for public repositories)
  • 50GB of Packages storage (Free for public repositories)
Rationale

Glanceables is a macOS desktop app that turns parts of websites into easy-to-view widgets. While it monitors changes on webpages and provides notifications, it does not perform workflow observation, pattern analysis of user interactions, or provide actionable suggestions and task automation in the way 'Second Cursor' is described. Its focus is on displaying web content in widgets and notifying of changes, not on optimizing user workflows through AI-driven analysis and automation.