C-Rank Grade: B (Solid) - 49/100
External PR Merge Rate: 77%
Response Time: 12d
First Timer Success: 67%
run-ai/fake-gpu-operator has a recorded first-timer success rate of 66.7%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in run-ai/fake-gpu-operator respond to incoming external pull requests in approximately 289.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
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 48.7 places run-ai/fake-gpu-operator in the B tier.
The external contributor pull request merge rate for run-ai/fake-gpu-operator is 76.8%, based on public PR activity from non-core contributors.
run-ai/fake-gpu-operator does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.
Balanced & professional review environment in run-ai/fake-gpu-operator. Maintains strict focus on technical quality and test standards.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/run-ai/fake-gpu-operator?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
Calculating local time...
Calculating local time...
Detected: UTC
Maintainers are most responsive around 18:00 UTC (18:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 16:00 to 20:00 UTC (16:00 - 20:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~188 hours (96% approval). Large PRs (>500 lines) take ~1389 hours (35% approval). Keep your diff compact for rapid review.
Enter your branch size and test coverage below to forecast review turnaround and get 1-click git splitting commands.
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No cached good first issues currently tracked for run-ai/fake-gpu-operator.
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When evaluating whether to contribute to run-ai/fake-gpu-operator, 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 run-ai/fake-gpu-operator acknowledge new external contributions in approximately 12 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 76.8% were successfully merged into the primary branch.
run-ai/fake-gpu-operator has a recorded first-timer success rate of 66.7%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~12 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 48.7 places run-ai/fake-gpu-operator in the Solid tier.
The external pull request merge rate is 76.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
run-ai/fake-gpu-operator does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.
All metrics displayed for run-ai/fake-gpu-operator 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.