Know who can
actually code — before the interview.
Submit a GitHub URL. Get a structured evaluation with scores, skill-level verdict, strengths, gaps, and tailored interview questions — in minutes.
Free plan · No candidate setup · Any language or framework
Evaluation Report
github.com/alex-dev/ecommerce-api
Node.js · TypeScript · PostgreSQL
76/100
Mid-levelStrengths
- Clean service layer
- SOLID principles
- Error handling
Interview Qs
3 tailored questions →
20+
Hours saved per role
100%
Objective scoring
Any
Language or framework
0
Candidate setup needed
Technical hiring is broken.
And the cost lands entirely on your team.
Hundreds of applicants
No scalable way to filter by actual coding ability before investing interview hours.
CVs lie (or at least mislead)
A polished CV tells you nothing about code quality, architecture sense, or real experience.
Interviews cost everyone time
Live coding rounds take 3–5 hours per candidate. At scale, that's weeks of engineering time.
From repo URL to
hiring decision.
Everything runs automatically. You just read the report.
Submit a URL. Get a full technical report.
No candidate setup
Works with any public GitHub repo. Candidates just share a link — nothing to install.
Full repo scan
File structure, code patterns, architecture, dependencies, commit history — analysed end to end.
Consistent scoring
Every candidate is measured against the same criteria. No interviewer variance.
Any language
Python, Go, TypeScript, Rust, Java — the AI engine adapts to the stack automatically.
Submit for evaluation
Report ready in ~3 minutes
Skill level breakdown
Code Structure
SeniorConsistent layered architecture, clear separation of concerns
Testing
MidUnit tests present, integration coverage at 74%. Missing edge cases.
Documentation
JuniorREADME present but inline comments sparse.
Detect real seniority from real code.
Evidence-based verdicts
Every skill-level judgment cites specific patterns in the code — not guesswork.
Junior / Mid / Senior classification
Per-dimension verdicts so you see where candidates shine and where they fall short.
Tech stack detection
Frameworks, libraries, and tooling are identified automatically from the repo.
Walk into the interview already prepared.
Strengths & weaknesses
AI highlights exactly what the candidate does well and where the gaps are — with evidence.
Tailored interview questions
Questions are generated from the candidate's specific code, not from a generic pool.
Custom assessment templates
Define role-specific criteria, weights, and required skill levels for each position.
AI Summary
Strengths
- Service architecture
- Error handling
- Type safety
Gaps
- Inline docs
- Integration tests
- README depth
Tailored interview questions
Your service layer uses a repository pattern — walk me through how you'd extend it to support caching.
I noticed test coverage drops on the payment module. What was the trade-off you made there?
How would you evolve this architecture to support multi-tenancy?
Candidate pipeline — Senior Backend Eng
alex-dev
Senior
91/100
jsmithy
Mid
76/100
coder99
Mid-Senior
81/100
dev-maria
Junior
54/100
rb-hacker
Senior
88/100
Compare every candidate on the same scale.
Side-by-side comparison
All candidates scored against the same template — fully comparable, no subjectivity.
Shortlist in one view
Filter by score threshold, skill level, or assessment status from your dashboard.
Assessment templates per role
Different criteria weights for backend, frontend, data engineering — whatever the position requires.
Three steps to a hiring decision.
From repo URL to structured report in minutes.
Add candidate repo
Submit the GitHub URL of a candidate's project. No candidate action required.
AI evaluates code
The engine scans quality, architecture, skill level, and patterns automatically.
Get score + report
Structured scores, AI insights, strengths, gaps, and tailored interview questions.
The ROI is immediate.
Quantify what you gain by removing manual code review from your pipeline.
20+ hours
Saved per role
Automated evaluations eliminate manual code review. Get structured results in minutes, not days.
Zero bias
Objective scoring
Criteria-based assessment removes interviewer subjectivity from technical screening.
Fewer
Wasted interviews
Only advance candidates who meet your bar. Stop interviewing people who can't pass the technical round.
The same engine that scores
candidates scores their code.
Evalo isn't a layer on top of GitHub. It's a purpose-built evaluation engine — the same one job seekers use to improve their CVs against your requirements.
Works with your stack
Native GitHub integration is live. ATS integrations are in development.
Simple, Transparent Pricing
Start free and upgrade when you're ready.
Free Plan
Perfect for individual developers and small projects. Get started with basic repository assessment features. Get started for free
- 1 Assessments
- 5 Evaluations/month
- AI Skill Detection
- Detailed Reports
- GitHub Integration
- Email Support
- AI Code Detector
- Custom Requirements
Pro Plan
Empowering teams and organizations through enhanced AI analysis and smart tooling.
- 10 Assessments
- 150 Evaluations/month
- AI-Powered Recommendations
- AI Skill Detection
- Advanced AI Analysis
- GitHub Integration
- Priority Support
- AI Code Detector
- Custom Requirements
No credit card required for Free plan.
Frequently Asked Questions
Everything you need to know about evaluating candidates with Evalo.
Still Have Questions?
Can't find what you're looking for? Get in touch with our team and we'll be happy to help.
Contact Support
Stop guessing.
Start evaluating.
Join teams using Evalo to cut screening time and make better technical hires — starting today, for free.