l0ng-ai/tty7 - Open Source PR Review Scorecard

The terminal that outlives its window. Shells survive quitting the app, agents can drive other agents, and remote machines work the same way. Pure Rust, GPU-rendered.

C-Rank Grade: S (Elite) - 73/100

External PR Merge Rate: 86%

Response Time: 11h

First Timer Success: 67%

Frequently Asked Questions

Is l0ng-ai/tty7 welcoming to first-time open-source contributors?

l0ng-ai/tty7 has a recorded first-timer success rate of 66.7%. Repositories ranked S 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 l0ng-ai/tty7 respond to incoming external pull requests in approximately 10.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 72.6 C-Rank™ score (S 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 72.6 places l0ng-ai/tty7 in the S tier.

What is the external contributor pull request merge rate for l0ng-ai/tty7?

The external contributor pull request merge rate for l0ng-ai/tty7 is 85.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in l0ng-ai/tty7?

l0ng-ai/tty7 does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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l0ng-ai/tty7

1,244
Active (30d)S•Elite(73/100)Rust

The terminal that outlives its window. Shells survive quitting the app, agents can drive other agents, and remote machines work the same way. Pure Rust, GPU-rendered.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.1/10
Patience Score
8.2/10
Nitpick Rate
50%

Collaborative maintainer environment in l0ng-ai/tty7. Reviews community pull requests with focus on project quality.

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
10 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
85.6%
High acceptance rate for external PRs

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
23 core
Highly collaborative maintainer core
Diagnostic Health HUD
85.6%
Merge Gauge
66.7%
1st-Timer
Community Vibe76/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for l0ng-ai/tty7
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/l0ng-ai/tty7)](https://getmerged.abhishekco.de/l0ng-ai/tty7?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for l0ng-ai/tty7.

View all good first issues directly on GitHub

Looking for more Rust beginner tasks?Explore Rust 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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for l0ng-ai/tty7

When evaluating whether to contribute to l0ng-ai/tty7, 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 l0ng-ai/tty7 acknowledge new external contributions in approximately 10 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 85.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to l0ng-ai/tty7

01

Is l0ng-ai/tty7 welcoming to first-time open-source contributors?

l0ng-ai/tty7 has a recorded first-timer success rate of 66.7%. Repositories ranked Elite 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 ~10 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 72.6 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 72.6 places l0ng-ai/tty7 in the Elite tier.

04

What is the external contributor pull request merge rate for l0ng-ai/tty7?

The external pull request merge rate is 85.6%. 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 l0ng-ai/tty7?

l0ng-ai/tty7 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 l0ng-ai/tty7 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.