learnyouahaskell/learnyouahaskell.github.io - Open Source PR Review Scorecard

A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection!

C-Rank Grade: B (Solid) - 51/100

External PR Merge Rate: 83%

Response Time: 11h

First Timer Success: 50%

Frequently Asked Questions

Is learnyouahaskell/learnyouahaskell.github.io welcoming to first-time open-source contributors?

learnyouahaskell/learnyouahaskell.github.io has a recorded first-timer success rate of 50.0%. Repositories ranked B 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 learnyouahaskell/learnyouahaskell.github.io respond to incoming external pull requests in approximately 11.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 51.5 C-Rank™ score (B 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 51.5 places learnyouahaskell/learnyouahaskell.github.io in the B tier.

What is the external contributor pull request merge rate for learnyouahaskell/learnyouahaskell.github.io?

The external contributor pull request merge rate for learnyouahaskell/learnyouahaskell.github.io is 83.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in learnyouahaskell/learnyouahaskell.github.io?

learnyouahaskell/learnyouahaskell.github.io currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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learnyouahaskell/learnyouahaskell.github.io

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Active (30d)B•Solid(51/100)Low Sample (<20 PRs)CSS

A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection!

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.9/10
Patience Score
8.4/10
Nitpick Rate
20%

Highly welcoming maintainers in learnyouahaskell/learnyouahaskell.github.io. Prompt code reviews with positive guidance for new contributors.

What Contributors Actually Say

Discussions in learnyouahaskell/learnyouahaskell.github.io 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

  • •Keep PRs small and focused on one change
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not mix unrelated refactors with feature work
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
11 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
83.3%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
83.3%
Merge Gauge
50.0%
1st-Timer
Community Vibe70/100

Embed C-Rank Badge

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GetMerged C-Rank badge for learnyouahaskell/learnyouahaskell.github.io
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Active Good First Issues (2)

View on GitHub

All of the illustration files have white feathering that doesn’t mesh well with the new background color. Additionally some illustrations have transparent pixels in inappropriate places which significantly changes the perception of the image in dark mode. Dark mode should probably be using similar but different image files. Light mode: Dark mode:

📅 Opened Apr 4, 2026💬 1 comment
Quality: 80/100Contribute

Is your content edit request related to a problem? Please describe. In the syntax-in-function chapter, there is an example that does not compile "out of the box" and uses several new concepts without explaining them. It's the densityTell function that uses readMaybe. Additional context This example uses Just, Nothing and readMaybe which were not yet mentioned at this point in the book and are not explained here. As a beginner, I am also unsure how <- is supposed to work here, as I've only seen used it in list comprehensions in previous chapters. Additionally, on my fresh installation of GHCi 9.6.7, this example does not compile because readMaybe is undefined. This example should contain more detailed explanation of how it works or be moved to later chapter where those concepts are explained. Link to the page in question https://learnyouahaskell.github.io/syntax-in-functions.html

📅 Opened Feb 27, 2026💬 9 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for learnyouahaskell/learnyouahaskell.github.io

When evaluating whether to contribute to learnyouahaskell/learnyouahaskell.github.io, 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 learnyouahaskell/learnyouahaskell.github.io acknowledge new external contributions in approximately 11 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 83.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to learnyouahaskell/learnyouahaskell.github.io

01

Is learnyouahaskell/learnyouahaskell.github.io welcoming to first-time open-source contributors?

learnyouahaskell/learnyouahaskell.github.io has a recorded first-timer success rate of 50.0%. Repositories ranked Solid 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 ~11 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 51.5 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 51.5 places learnyouahaskell/learnyouahaskell.github.io in the Solid tier.

04

What is the external contributor pull request merge rate for learnyouahaskell/learnyouahaskell.github.io?

The external pull request merge rate is 83.3%. 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 learnyouahaskell/learnyouahaskell.github.io?

Yes, learnyouahaskell/learnyouahaskell.github.io currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for learnyouahaskell/learnyouahaskell.github.io 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.