Summary

GoCard is a lightweight, file-based spaced repetition system that uses plain Markdown files for flashcards. It is designed for developers who prefer text files, Git version control, and keyboard-driven interfaces, offering a terminal-based UI for learning and progress tracking.

Features
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No common features found

Pricing
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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
  • Limited CI/CD minutes
  • Limited Packages storage

Team

$4.00 per user
Popular
  • Everything included in Free, plus...
  • 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, plus...
  • 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

GoCard is a file-based spaced repetition system for flashcards, primarily targeting developers who prefer text files and Git version control. It does not offer any of the AI-powered file organization features, semantic search, or cloud storage integrations that are central to Dynbox's value proposition. While it manages files (flashcards), it does so in a very specific, non-AI-driven way that does not align with the concept's core features.