BeyteFlow/ReadmeGenAI - Open Source PR Review Scorecard

AI-powered README generator for GitHub. Paste a repo URL and instantly create a professional, well-structured README.md file.

C-Rank Grade: A (Welcoming) - 57/100

External PR Merge Rate: 73%

Response Time: 1d

First Timer Success: 100%

Frequently Asked Questions

Is BeyteFlow/ReadmeGenAI welcoming to first-time open-source contributors?

BeyteFlow/ReadmeGenAI has a recorded first-timer success rate of 100.0%. 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 BeyteFlow/ReadmeGenAI respond to incoming external pull requests in approximately 32.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 56.9 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 56.9 places BeyteFlow/ReadmeGenAI in the A tier.

What is the external contributor pull request merge rate for BeyteFlow/ReadmeGenAI?

The external contributor pull request merge rate for BeyteFlow/ReadmeGenAI is 73.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in BeyteFlow/ReadmeGenAI?

BeyteFlow/ReadmeGenAI currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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BeyteFlow/ReadmeGenAI

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Active (30d)A•Welcoming(57/100)TypeScript

AI-powered README generator for GitHub. Paste a repo URL and instantly create a professional, well-structured README.md file.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in BeyteFlow/ReadmeGenAI. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in BeyteFlow/ReadmeGenAI 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

  • •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
1 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
73.0%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
73.0%
Merge Gauge
100.0%
1st-Timer
Community Vibe65/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

🚨 Issue: Incomplete README Generation Due to Single-Pass AI Request 📌 Summary The current README generation pipeline uses a single, large AI request to generate the entire document. This often results in truncated or incomplete outputs, especially for repositories with richer metadata or larger inferred structures. ⚠️ Problem Details README generation is handled in one API call Prompt includes: Repository metadata File structure Detailed formatting instructions This leads to: Token limit exhaustion Partial or cut-off responses Inconsistent output quality 🔍 Observed Behavior README stops mid-section (commonly during Installation / License) Missing sections despite strict prompt instructions Output varies depending on repo size 🎯 Expected Behavior Complete, well-structured README generated consistently All required sections present: Header Overview Features Tech Stack Installation License 💡 Proposed Solution (Recommended) Refactor the generati

📅 Opened Mar 24, 2026💬 1 comment
Quality: 80/100Contribute

🌞 Add Optional Light Mode Theme Overview ReadmeGenAI currently uses a dark-only UI theme, which is excellent for developers working in low-light environments. However, providing an optional light mode will improve accessibility and appeal to users who prefer lighter interfaces. This enhancement is optional but demonstrates that the project is forward-thinking, user-centric, and open to contributions. Objectives Implement a toggle switch for light and dark themes in the UI. Ensure all UI elements (buttons, text, backgrounds, inputs) adapt correctly in both themes. Maintain accessibility standards (contrast, readability) in light mode. Optionally, store user preference to persist selected theme between sessions. Update documentation to explain how to enable and use light mode. Benefits Increases usability for a broader audience. Enhances project professionalism and polish. Attracts potential contributors and stars by signaling active enhancement. Demonstrates a commitment to acce

📅 Opened Mar 23, 2026💬 0 comments
Quality: 80/100Contribute

Issue Type: 📝 Content Update Priority: High 📝 Problem The current examples on the /examples page are using old templates. They need to be replaced with the "Senior Architect" style markdown generated by our new prompt logic. 🚀 Solution Update @/data/examples.ts (or your local data file) with the following structure for each example: Visual Header: Center-aligned title and badges. Strategic Why: A "Problem" blockquote and "Solution" text. Directory Tree: Using 📁 and 📄 emojis. Tech Table: The | Technology | Purpose | Key Benefit | layout. ✅ To-Do List [ ] Replace placeholder text with real Markdown examples. [ ] Update "Tech Stack" tags to match detected markers (Node, Python, Docker). [ ] Ensure the "License" section in examples reflects the new dynamic logic. 📄 The "Simple" Data Structure You can use this simple TypeScript array to update your page content immediately: TypeScript export const repoExamples = [ { name: "Nexus-Auth-Service", description: "A secure, con

📅 Opened Feb 10, 2026💬 0 comments
Quality: 80/100Contribute
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Contributor Community Vibe Feedback

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Contributor Compatibility & Review Speed Analysis for BeyteFlow/ReadmeGenAI

When evaluating whether to contribute to BeyteFlow/ReadmeGenAI, 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 BeyteFlow/ReadmeGenAI acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 73.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to BeyteFlow/ReadmeGenAI

01

Is BeyteFlow/ReadmeGenAI welcoming to first-time open-source contributors?

BeyteFlow/ReadmeGenAI has a recorded first-timer success rate of 100.0%. 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 ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 56.9 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 56.9 places BeyteFlow/ReadmeGenAI in the Welcoming tier.

04

What is the external contributor pull request merge rate for BeyteFlow/ReadmeGenAI?

The external pull request merge rate is 73.0%. 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 BeyteFlow/ReadmeGenAI?

Yes, BeyteFlow/ReadmeGenAI currently has 3 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 BeyteFlow/ReadmeGenAI 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.