strelov1/freehire - Open Source PR Review Scorecard

freehire — the open-source search engine for job seekers

C-Rank Grade: S (Elite) - 76/100

External PR Merge Rate: 91%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

Is strelov1/freehire welcoming to first-time open-source contributors?

strelov1/freehire has a recorded first-timer success rate of 100.0%. 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 strelov1/freehire respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 76.3 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 76.3 places strelov1/freehire in the S tier.

What is the external contributor pull request merge rate for strelov1/freehire?

The external contributor pull request merge rate for strelov1/freehire is 91.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in strelov1/freehire?

strelov1/freehire currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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freehire — the open-source search engine for job seekers

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Growing Go project in strelov1/freehire welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with Go style conventions
  • •Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
91.5%
High acceptance rate for external PRs

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
9 core
Highly collaborative maintainer core
Diagnostic Health HUD
91.5%
Merge Gauge
100.0%
1st-Timer
Community Vibe67/100

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GetMerged C-Rank badge for strelov1/freehire
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/strelov1/freehire)](https://getmerged.abhishekco.de/strelov1/freehire?utm_source=github&utm_medium=badge)

Active Good First Issues (5)

View on GitHub

Problem The candidate Profile page (/my/profile) has grown into 8 separate tabs (Profile, Contacts, Location, Skills, Experience, Education, Screening, Settings), each backed by its own component. As a result the page feels: Overcomplicated — too many sections for what is conceptually one object (the candidate's profile), forcing users to hunt across tabs for related fields (e.g. CV summary lives under "Profile" while education parsed from the same CV lives under a separate "Education" tab). Unclear — no visible indication of what's filled in vs. missing, or why a given tab exists as its own destination rather than a section of a longer page. Inconsistent — sections mix different UI patterns (inline autosave in some tabs, explicit Save in others; card-based layouts vs. form layouts) depending on which component happens to back the tab. Ask Redesign the Profile page's information architecture and visual consistency: reconsider whether 8 tabs is the right structure, unify the edi

📅 Opened Aug 18, 2026💬 3 comments
Quality: 90/100Contribute

Context #1998 landed the i18n infrastructure for the account section (locale resolution from users.language, path-gated to /my/**, the hand-rolled t()/defineMessages catalog mechanism) and fully translated /my/security, the shared shell/navigation (my/+layout.svelte, AccountNavRail), and the /my/profile tab-strip labels — English + Russian only. This was deliberately scoped as the reference pattern; see openspec/changes/i18n-my-account (now archived) for the full design rationale. Two things are explicitly deferred there and still open: 1. Fan out to the remaining /my/** pages (en/ru) Still English-only: /my/profile's eight tab views (ProfileForm, ExperienceBankView, CandidateContactsEditor, EducationCard, LocationCard, SkillsCard, ScreeningAnswersForm, AccountPreferences) — only the tab labels were translated in #1998 /my/activity /my/tracking /my/inbox /my/market-pulse /my/assistant /my/cvs /my/referrals /my/notifications /my/api-keys /my/submissions /my/contributions /my/credit

📅 Opened Aug 16, 2026💬 2 comments
Quality: 90/100Contribute

What A public page where anyone can type a skill, a role, or an industry and see whether our dictionaries know it. If we don't, the term is recorded in a table that a maintainer reviews by hand and turns into dictionary entries. Coverage check runs against the same code the pipeline uses, so the answer is the truth, not an approximation: skills — internal/skilltag (canonicalize + aliases) roles / categories / seniority — internal/classify industries — internal/industrytag (geo is a candidate too, but internal/location is a different beast — leave it out of v1) Why Every facet dictionary here is dict-only in production — never guess, emit nothing for unknowns (see AGENTS.md). That rule is right, and its cost is that growth is manual. Today the only growth loops are agent-driven mining (mine-skill-dictionary over what the LLM actually emitted) and the maintainer noticing a gap. This adds a third, cheapest loop: the people who read the site tell us what's missing. It also doub

📅 Opened Aug 16, 2026💬 0 comments
Quality: 90/100Contribute

What Every canonical skill in internal/skilltag should carry a one- or two-sentence plain-language description, surfaced on hover (and on tap, on touch) wherever a skill chip is rendered. Today the vocabulary has two sides: the slug (ci-cd, dbt, 1c) and the display label (CI/CD, dbt, 1C) — see internal/skilltag/labels.go. Neither tells a reader what the thing is. A candidate browsing filters, a job card, or a CV-match delta sees ~309 canonical tokens with no way to learn "dbt is a SQL transformation tool for data warehouses" without leaving the site. Why Filter discovery: people skip facets they don't recognize. CV match / skill-delta surfaces name skills the candidate is missing — a definition turns a bare gap into an actionable one. It is a cheap SEO/GEO asset: a glossary of ~300 IT skills with real definitions is a linkable, indexable surface. Shape (proposal, design owns the final call) Design first. Where does the description live and how is it revealed? Candidates: a toolt

📅 Opened Aug 16, 2026💬 0 comments
Quality: 90/100Contribute

Snapshot (prod, 2026-08-11): crelate currently has 0 active jobs/companies in the catalogue. Before running a harvest pass here: find out why — never onboarded past a stub, ingest broken/cooled down, or the board file is stale. Then decide directly: if crelate still has live postings worth pulling, fix the crawl (or onboard real boards) and re-check if it never carried anything worth keeping, propose dropping crelate from sources/ outright — no harvest pass needed for an empty source Part of #1758.

📅 Opened Aug 11, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for strelov1/freehire

When evaluating whether to contribute to strelov1/freehire, 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 strelov1/freehire acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 91.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to strelov1/freehire

01

Is strelov1/freehire welcoming to first-time open-source contributors?

strelov1/freehire has a recorded first-timer success rate of 100.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 76.3 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 76.3 places strelov1/freehire in the Elite tier.

04

What is the external contributor pull request merge rate for strelov1/freehire?

The external pull request merge rate is 91.5%. 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 strelov1/freehire?

Yes, strelov1/freehire 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 strelov1/freehire 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.

strelov1/freehire • 76.3/100 C-Rank (S-Tier) | GetMerged