Pyor
Pyor is a native pull-request review surface for GitHub that puts the files, conversation, checks, and merge decision in one window. It is designed to make human review of large and AI-generated changes faster by organizing the diff and reducing review friction, rather than replacing the human reviewer.
At a Glance
- Individual developers
- Software-development teams and organizations
- Teams using GitHub private repositories
- Developers and teams using coding agents such as Claude Code, Codex, Cursor, Amp, Gemini CLI, Windsurf, or Zed
AI Tools by Pyor
(1)Pyor
GitHub Pull Request Review App
Discussions
No discussions yet
Be the first to start a discussion about Pyor
Latest News
Pyor desktop release v1.5.4 published with current macOS, Windows, and Linux build assets
Pyor CLI repository released version 0.5.2, supporting agent-driven local pre-PR reviews
Pyor vs Stage: an honest comparison of AI chapters versus Pyor's diff organization and pointing approach
Pyor vs CodeRabbit: Pyor explains its human-review-surface positioning versus automated AI review comments
Products & Services
A web and native Electron desktop application for reviewing GitHub pull requests. It provides a single review window with file navigation, diffs, conversation, checks, comments, approvals, merging, focus mode, commit-scoped diffs, viewed-state tracking, rendered Markdown review, AI grouping, and inline hints.
Agent tooling that opens working-tree changes as a local pre-PR review in Pyor. The /pyor:review workflow uses fresh sub-agents to produce file groups and inline hints, then lets the developer review and send comments back to the coding-agent session.
A browser extension for Chrome and Firefox that opens GitHub pull-request links in Pyor instead of the standard GitHub review page.
Market Position
Pyor positions itself as a human-review surface with AI triage, not an automated reviewer. Its stated alternatives include reviewing directly in GitHub, pulling branches locally, Stage, Graphite, CodeRabbit, Greptile, and GitHub Copilot code review. Its differentiation is a focused cross-platform surface that groups important files, adds compact hints, preserves review context, and keeps the human responsible for reading and approving the change.
Leadership
Founders
Othman Shareef
Web developer and the sole founder/builder of Pyor. His published Pyor biography says the product began as his own problem while working with coding agents and large pull requests; his site links to his LinkedIn for his full professional history, but the official pages reviewed do not enumerate prior employers.
Executive Team
Othman Shareef
Founder and independent developer
Web developer who says he builds the whole product. He created Pyor after experiencing review queues and oversized pull requests in an agent-assisted development workflow.
Founding Story
Pyor started as Othman Shareef's personal response to a code-review bottleneck: coding agents increased code output, pull requests became larger, and reviews accumulated in a browser interface designed for an earlier workflow. He built a focused tool for fast, calmer human review, with AI used to group and point at important changes rather than generate review prose.
Business Model
Revenue Model
Freemium SaaS: free individual accounts and a flat per-seat subscription for organizations. Teams billing includes hosted Pyor AI and organization/team features.
Pricing Tiers
For individual developers; unlimited public and private-repository reviews, local reviews, rich diffs, comments and suggestions, AI grouping and hints with the user's own API key, and single-user access.
For organizations reviewing private code together; includes hosted Pyor AI, organization-wide review, org/team management, per-seat changes, filtered shareable views, and priority support. 30-day trial advertised.
Target Markets
- Individual developers
- Software-development teams and organizations
- Teams using GitHub private repositories
- Developers and teams using coding agents such as Claude Code, Codex, Cursor, Amp, Gemini CLI, Windsurf, or Zed
- Reviewing large pull requests
- Reviewing AI-generated or agent-authored code while keeping human approval in the loop
- Triage of mechanical migration and dependency-change noise
- Local review of working-tree changes before a pull request exists
- Re-reviewing only the delta after a force-push or subsequent commit
- Centralizing review requests, mentions, and replies across repositories