wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass - Open Source PR Review Scorecard

A game mod that uses NVIDIA AI to change lighting, detail and colour, with controls for strength and performance.

C-Rank Grade: A (Welcoming) - 61/100

External PR Merge Rate: 62%

Response Time: 2h

First Timer Success: 67%

Frequently Asked Questions

Is wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass welcoming to first-time open-source contributors?

wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass has a recorded first-timer success rate of 66.7%. 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 wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass respond to incoming external pull requests in approximately 2.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.2 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 61.2 places wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass in the A tier.

What is the external contributor pull request merge rate for wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass?

The external contributor pull request merge rate for wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass is 61.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass?

wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass

784
InactiveA•Welcoming(61/100)Low Sample (<20 PRs)C++

A game mod that uses NVIDIA AI to change lighting, detail and colour, with controls for strength and performance.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
7.9/10
Patience Score
8.2/10
Nitpick Rate
40%

Collaborative maintainer environment in wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Add or update tests for changed behavior before requesting review
  • •Link the issue and include reproduction context in the PR
  • •Keep PRs small and focused on one change

Top PR Friction Pitfalls (Don'ts)

  • •Do not leave requested test coverage unresolved
  • •Do not open context-free PRs
  • •Do not mix unrelated refactors with feature work
Response Velocity
2 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
61.5%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
66.7%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
20 core
Highly collaborative maintainer core
Diagnostic Health HUD
61.5%
Merge Gauge
66.7%
1st-Timer
Community Vibe73/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass)](https://getmerged.abhishekco.de/wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass.

View all good first issues directly on GitHub

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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 wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass

When evaluating whether to contribute to wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass, 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 wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass acknowledge new external contributions in approximately 2 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass

01

Is wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass welcoming to first-time open-source contributors?

wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass has a recorded first-timer success rate of 66.7%. 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 ~2 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.2 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 61.2 places wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass in the Welcoming tier.

04

What is the external contributor pull request merge rate for wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass?

The external pull request merge rate is 61.5%. 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 wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass?

wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass 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 wilsjo2/OptiScaler-DLSSNR-PreSR-Multipass 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.