GitRoll
GitHub-evidence scoring that shows real coding work for engineering hiring.
Free scan; contact for hiring plans
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Bottom line
GitHub-evidence scoring for engineering hiring, with a free scan path and hiring plans sold through the vendor. GitRoll does not publish paid tier prices.
Stands out for: GitRoll scores real GitHub work (CURISM and ACID assessments) instead of resume keywords, aimed at finding undervalued builders in a 150M+ developer graph.
Watch out for: GitRoll does not publish a self-serve rate card. Treat hiring seats as a quoted conversation.
Overview
GitRoll turns GitHub and public coding activity into a scored profile so recruiters can see what a candidate actually shipped. The pitch is merit-based ranking (CURISM and ACID) across a large developer population, plus agentic profiles that recruiters can query. For companies it also offers sourcing, screening, and a placement-style path with interview and salary-percentage fees on the for-companies page.
The homepage markets Short, Tall, Grande, and Venti hiring plans, but publishes no dollar amounts. The for-companies page quotes a 0.25% initial interview fee and 4.5% of salary on placement. Treat software seats as contact-for-plans and keep the free scan as the public entry.
Who it's for
Best for
- Engineering hiring teams that want GitHub evidence, not another coding-test vendor
- Startups willing to start with a free scan before buying a hiring workspace
- Teams sourcing outside the usual FAANG-resume pool
- Recruiters who want agentic profiles instead of a static GitHub URL
Not ideal for
- TA teams that need a printed per-seat rate before a demo
- Non-engineering hiring where GitHub evidence does not exist
Key features
GitHub scoring. Merit-based score from real repositories and contributions.
Tech stack. Visible language and stack signals from scanned work.
Repo analytics. Repo-level analytics for builder portfolios.
Developer passport. Shareable profile for resumes, GitHub, and social proof.
Eng hiring. Evidence layer for engineering recruiting next to challenge platforms.
AI features
| What the AI does | Plan |
|---|---|
| Agentic AI profiles let recruiters query a candidate's real coding work | Platform |
Only features named in the vendor's own documentation. Anything sold separately is marked as an add-on.
Pricing
A free scan path is the public entry. Hiring software plans are listed as Short, Tall, Grande, and Venti on the homepage, and the for-companies page also quotes a 0.25% initial interview fee plus 4.5% of salary on placement. Confirm the live SaaS grid on gitroll.io before budgeting seats. Confirm current terms on the vendor site.
Checked 19 Sep 2026. Vendors change prices without notice.
Is GitRoll expensive?
GitRoll does not publish a price. It is one of 26 quote-based tools among the 43 assessments tools in our directory. 7 have a free tier, and those with a public price typically start around $99 a month.
- 26 quote-based
- 7 free tier
- 18 public price
Worked out automatically from every assessments listing, so it updates as the directory changes.
Pros and cons
Pros
- Scores real GitHub work instead of self-reported resume stacks
- Free scan path so you can test a profile before buying hiring seats
- Company page also offers a placement fee path if you want managed matching
Cons
- No published paid SaaS rates
- Placement fees (0.25% interview, 4.5% of salary) are a different commercial model than seats
- Useless for roles with no public code history
How GitRoll compares
See all GitRoll alternatives, with what each one does differently and a head to head for every pairing.
| Tool | Free tier | From | MCP | API | Compare |
|---|---|---|---|---|---|
| | – | Free scan; contact for hiring plans | – | – | |
| | – | $80/mo | – | ✓ | Compare |
| | – | Sales-quoted | – | ✓ | Compare |
| | – | Sales-quoted | – | ✓ | Compare |
| | – | Sales-quoted | – | – | Compare |
$80/mo API
Live coding interviews from $80/mo if you need a pad during the loop, not GitHub archaeology.
Sales-quoted API
Trained interviewers run live technical screens, quoted, instead of scoring public repos.
Sales-quoted API
Skills assessments and AI interviews with a sales quote, covering stacks GitHub may not show.
Sales-quoted
Developer talent graph for sourcing, without GitRoll's merit-score overlay.