browseros-ai/BrowserOS - Open Source PR Review Scorecard

🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 87%

Response Time: -

First Timer Success: 25%

Frequently Asked Questions

Is browseros-ai/BrowserOS welcoming to first-time open-source contributors?

browseros-ai/BrowserOS has a recorded first-timer success rate of 25.0%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in browseros-ai/BrowserOS respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 66.5 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 66.5 places browseros-ai/BrowserOS in the A tier.

What is the external contributor pull request merge rate for browseros-ai/BrowserOS?

The external contributor pull request merge rate for browseros-ai/BrowserOS is 87.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in browseros-ai/BrowserOS?

browseros-ai/BrowserOS does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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browseros-ai/BrowserOS

13,866
Active (30d)A•Welcoming(66/100)TypeScript

🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.4/10
Patience Score
8.6/10
Nitpick Rate
25%

Highly welcoming maintainers in browseros-ai/BrowserOS. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
-
No reviewer activity recorded

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
87.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
25.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
17 core
Highly collaborative maintainer core
Diagnostic Health HUD
87.2%
Merge Gauge
25.0%
1st-Timer
Community Vibe42/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for browseros-ai/BrowserOS
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/browseros-ai/BrowserOS)](https://getmerged.abhishekco.de/browseros-ai/BrowserOS?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for browseros-ai/BrowserOS.

View all good first issues directly on GitHub

Looking for more TypeScript beginner tasks?Explore TypeScript GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for browseros-ai/BrowserOS

When evaluating whether to contribute to browseros-ai/BrowserOS, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of browseros-ai/BrowserOS acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 87.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to browseros-ai/BrowserOS

01

Is browseros-ai/BrowserOS welcoming to first-time open-source contributors?

browseros-ai/BrowserOS has a recorded first-timer success rate of 25.0%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 66.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 66.5 places browseros-ai/BrowserOS in the Welcoming tier.

04

What is the external contributor pull request merge rate for browseros-ai/BrowserOS?

The external pull request merge rate is 87.2%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in browseros-ai/BrowserOS?

browseros-ai/BrowserOS does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for browseros-ai/BrowserOS are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.