GitHub Candidate Intelligence Engine
Most recruiters judge GitHub profiles by star counts and repo names. GitAnalyze goes deeper.
> gitanalyze shubhamgupta407
Fetching profile data............... [OK]
Scanning repositories................ [OK]
Evaluating project signals........... [OK]
Computing dimension scores........... [OK]
Running intelligence pipeline........ [OK]
OVERALL SCORE → 7.8 / 10 → STRONG HIRE
Scan complete in 9.4s.
A typical recruiter opens a candidate's GitHub. Clicks through 8 repos. Tries to understand the stack. Checks the last commit date. Reads a README or two. Makes a gut call. Closes the tab. Repeats this 10 times per hiring cycle.
That process takes 40 minutes per batch and produces subjective, inconsistent results.
No standardized scoring. No cross-candidate comparison. No signal on what actually matters — project quality, contribution momentum, real-world impact. Just vibes and star counts.
GitAnalyze replaces that entire workflow with a structured intelligence pipeline that delivers a recruiter-ready technical report on any GitHub profile in under 10 seconds.
INPUT → GitHub username
PIPELINE → Live data fetch → Signal extraction → Dimension scoring
→ Intelligence analysis → Report generation
OUTPUT → Structured recruiter report · 10.0 point score · Role recommendation
DELIVERY → Telegram bot · Web dashboard · Auto-logged to recruiter sheet
TIME → Under 10 seconds. Every time.
Full capability set:
✦ 5-dimension profile scoring out of 10.0 — no black box
✦ Pinned repo intelligence detects what the dev chose to showcase
✦ Full tech stack mapping languages, frameworks, ecosystems
✦ Project signal analysis quality over quantity — impact-first
✦ Improvement area detection honest gaps flagged for every profile
✦ Multi-candidate comparison up to 3 profiles — ranked output
✦ Role-based recommendation Startup · Corporate · AI/ML · Frontend · Internship
✦ Auto recruiter logging every analysis timestamped and stored
✦ Dual access Telegram bot + Web dashboard
┌─────────────────────────────────────────────────────────────────────┐
│ GITANALYZE SCORING ENGINE v2.0 │
│ │
│ Final Score = f(Presence, Project Signal, Technical Breadth, │
│ Momentum, Community) │
│ │
│ Output Range: 0.0 → 10.0 │
│ Data Source: Live GitHub data — computed in real time │
│ Method: Programmatic — not estimated, not cached │
└─────────────────────────────────────────────────────────────────────┘
DIMENSION 1 — PRESENCE
▓▓░░░░░░░░ Evaluates how professionally a developer presents
themselves on the platform. Signals include profile
completeness, long-term consistency, and public
credibility indicators.
Tags: [ Profile Signals ] [ Consistency ] [ Credibility ]
DIMENSION 2 — PROJECT SIGNAL ★ CORE DIMENSION
▓▓▓░░░░░░░ The highest-weighted dimension in the engine. Measures
the real-world impact and quality of a developer's body
of work — not volume. One high-signal project outweighs
ten low-effort repositories.
Tags: [ Work Quality ] [ Real-world Impact ] [ Showcase Strength ]
DIMENSION 3 — TECHNICAL BREADTH
▓▓░░░░░░░░ Assesses range and depth of technical exposure. Goes
beyond language count — evaluates domain diversity and
the complexity of ecosystems a developer has worked
across.
Tags: [ Stack Diversity ] [ Domain Range ] [ Complexity Signals ]
DIMENSION 4 — MOMENTUM
▓▓░░░░░░░░ Measures how actively and consistently a developer is
building. Differentiates sustained contributors from
developers who were active once and have since gone dark.
Tags: [ Contribution Patterns ] [ Recency ] [ Consistency ]
DIMENSION 5 — COMMUNITY
▓░░░░░░░░░ Captures a developer's footprint beyond their own
repositories. Reflects recognition, open source
participation, and visibility in the broader ecosystem.
Tags: [ Recognition ] [ Open Source ] [ Ecosystem Presence ]
┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐
│ 1.0 – 4.0 │ 4.1 – 6.0 │ 6.1 – 7.5 │ 7.6 – 8.9 │ 9.0 – 10.0 │
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│ Weak Signal │ Developing │ Solid │ Strong │ Critical │
│ │ │ Candidate │ Hire │ Talent │
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│ Insufficient│ Early stage │ Worth a │ Clear │ Exceptional │
│ evidence │ potential │ deeper look │ signal │ Move fast │
└──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘
══════════════════════════════════════════════════════════
GITANALYZE PROFILE REPORT
@shubhamgupta407 · Generated: 28 Apr 2026 · v2.0
══════════════════════════════════════════════════════════
OVERALL SCORE 7.8 / 10
VERDICT STRONG HIRE
──────────────────────────────────────────────────────
DIMENSION SCORES
─────────────────────────────────────────
Presence ████████░░ Strong
Project Signal ██████████ Exceptional
Technical Breadth ████░░░░░░ Moderate
Momentum ████████░░ Active
Community ███░░░░░░░ Growing
─────────────────────────────────────────
DETECTED STACK
HTML · JavaScript · React · Python · Flask · Firebase · Gemini API
STRONGEST PROJECTS
1. American-Sign-Language-Detector
CNN-based real-time hand sign classification.
Demonstrates applied ML and computer vision capability.
2. Cardiovascular-Risk-Intelligence
Explainable AI system for heart disease risk assessment.
Highlights healthtech domain depth.
3. Disease-Outbreak-Prediction
Integrates climate and demographic data for predictive analytics.
Strong evidence of real-world problem-solving.
ROLE RECOMMENDATION
✓ Best for Startup Strong AI/ML + full-stack combination
✓ Best for AI/ML Teams Multiple ML projects with real datasets
✓ Best for Internship Portfolio ready, open to growth
— Best for Corporate Needs more large-scale indicators
AREAS TO IMPROVE
— Tech depth could expand beyond current primary stack
— Social proof signals are in early stage
— Explore more open source contributions
FINAL VERDICT
Recommended for technical interview. Demonstrates strong
passion for AI and full-stack development with a portfolio
of real-world projects that go beyond tutorial-level work.
══════════════════════════════════════════════════════════
GITANALYZE COMPARISON REPORT
Candidates: shubhamgupta407 · Akshat-cyber-cloud · dev-user3
──────────────────────────────────────────────────────────────
RANKING
#1 shubhamgupta407 7.8/10 ← RECOMMENDED
#2 Akshat-cyber-cloud 7.6/10
#3 dev-user3 6.2/10
METRIC BREAKDOWN
──────────────────────────────────────────────────────────────
shubham akshat dev-user3
Presence ████████ ███████ █████░░░
Project Signal ██████████ ████████ ██████░░
Technical Breadth ████░░░░░░ ████████ ███░░░░░
Momentum ████████░░ ████████ █████░░░
Community ███░░░░░░░ █░░░░░░░ ██░░░░░░
──────────────────────────────────────────────────────────────
ROLE-BASED RECOMMENDATION
Startup → shubhamgupta407 (AI/ML + practical projects)
Corporate → Akshat-cyber-cloud (broad stack, large repo count)
AI/ML Teams → shubhamgupta407 (demonstrated ML capability)
Frontend Role → Akshat-cyber-cloud (frontend ecosystem experience)
Internship → shubhamgupta407 (portfolio ready, growth mindset)
┌─────────────────────────────────────────────────────────┐
│ MODE 1 — TELEGRAM BOT │
│ Instant analysis from any device. No dashboard needed. │
│ │
│ /analyze username Full profile report │
│ /compare u1 u2 u3 Multi-candidate comparison │
│ │
│ Response time: < 10 seconds │
│ Available: 24/7 │
└─────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────┐
│ MODE 2 — WEB DASHBOARD │
│ Full visual report interface │
│ │
│ → Score ring with dimension breakdown bars │
│ → Tech stack detection with language signals │
│ → Repository table with quality indicators │
│ → Strongest projects with technical analysis │
│ → Role-based recommendation panel │
│ → Improvement areas with honest assessment │
│ → Export-ready recruiter report │
└─────────────────────────────────────────────────────────┘
Every analysis is automatically logged — zero manual effort.
┌────────────────────┬──────────┬──────────────────────┬───────┬──────────────┐
│ Timestamp │ Command │ Input │ Score │ Verdict │
├────────────────────┼──────────┼──────────────────────┼───────┼──────────────┤
│ 28/04/26 17:02:12 │ /compare │ shubham, akshat │ 7.8 │ Recommended │
│ 28/04/26 04:07:33 │ /analyze │ satyam-tomar │ 10.0 │ Critical │
│ 27/04/26 21:14:09 │ /analyze │ torvalds │ 9.8 │ Critical │
└────────────────────┴──────────┴──────────────────────┴───────┴──────────────┘
Full recruiter history · Timestamped · Always available · Zero manual effort
┌─────────────┐ ┌──────────────┐ ┌─────────────────┐
│ TELEGRAM │ │ WEB UI │ │ │
│ BOT INPUT │────▶│ /report │────▶│ WEBHOOK │
│ /analyze │ │ ?user=xyz │ │ TRIGGER │
└─────────────┘ └──────────────┘ └────────┬────────┘
│
┌────────▼────────┐
│ SOURCE DETECT │
│ + USERNAME │
│ EXTRACTION │
└────────┬────────┘
│
┌────────▼────────┐
│ GITHUB DATA │
│ LIVE FETCH │
│ Repos/Profile │
└────────┬────────┘
│
┌────────▼────────┐
│ SCORING ENGINE │
│ 5 Dimensions │
│ → Final Score │
└────────┬────────┘
│
┌────────▼────────┐
│ INTELLIGENCE │
│ PIPELINE │
│ → Report Build │
└────────┬────────┘
│
┌────────────────────┴────────────────────┐
│ │
┌────────▼────────┐ ┌─────────▼───────┐
│ TELEGRAM │ │ WEB DASHBOARD │
│ RESPONSE │ │ VISUAL REPORT │
└─────────────────┘ └─────────────────┘
│ │
┌────────▼─────────────────────────────────────────▼───────┐
│ GOOGLE SHEETS │
│ Auto-log · Timestamp · Score · Output │
└────────────────────────────────────────────────────────┘
┌─────────────────────────┬──────────────────────────────────────┐
│ Layer │ Technology │
├─────────────────────────┼──────────────────────────────────────┤
│ Workflow Automation │ n8n │
│ Data Source │ GitHub Data (Live, Real-time) │
│ Intelligence Layer │ AI Agent Pipeline │
│ Bot Interface │ Telegram Bot API │
│ Recruiter Logging │ Google Sheets (Auto-append) │
│ Web Frontend │ Web Dashboard (Visual Reports) │
└─────────────────────────┴──────────────────────────────────────┘
gitanalyze/
│
├── workflow/
│ └── gitanalyze.json # n8n workflow export — import directly
│
├── frontend/
│ ├── src/
│ │ ├── pages/
│ │ │ ├── index # Landing page
│ │ │ └── report # Dynamic report page (/report?user=)
│ │ └── components/ # UI components
│ └── .env.example # Environment config template
│
├── docs/
│ ├── telegram-demo.png # Telegram bot output screenshot
│ ├── web-dashboard.png # Web UI screenshot
│ └── comparison-report.png # Multi-candidate comparison screenshot
│
└── README.md
# ── STEP 1: Clone ──────────────────────────────────────────────
git clone https://github.com/shubhamgupta407/gitanalyze
cd gitanalyze
# ── STEP 2: Import n8n Workflow ────────────────────────────────
# Open n8n → Workflows → Import from file
# Select: workflow/gitanalyze.json
# ── STEP 3: Configure n8n Credentials ─────────────────────────
# Add the following in n8n credentials panel:
# - Telegram Bot Token (from @BotFather)
# - GitHub Personal Access Token
# - Google Sheets OAuth2
# ── STEP 4: Set Webhook URL ────────────────────────────────────
# Copy your n8n webhook URL after activating the workflow
# Format: https://your-n8n-instance/webhook/gitanalyze
# ── STEP 5: Frontend Setup ─────────────────────────────────────
cd frontend
cp .env.example .env
# Add your webhook URL to .env:
# VITE_N8N_WEBHOOK_URL=https://your-n8n-url/webhook/gitanalyze
npm install
npm run dev
# ── STEP 6: Activate ───────────────────────────────────────────
# Toggle workflow to Active in n8n
# Start your Telegram bot
# Open web dashboard — enter any GitHub username — run analysis ✅ v1.0 Telegram bot — /analyze command
✅ v1.5 Google Sheets auto-logging
✅ v2.0 Multi-candidate comparison — /compare command
✅ v2.0 Web dashboard — visual report interface
✅ v2.0 5-dimension scoring engine
⬜ v2.1 PDF export from web dashboard
⬜ v2.2 Bulk analysis mode — 10+ candidates per batch
⬜ v2.3 Historical candidate tracking and re-evaluation
⬜ v2.5 Slack bot integration
⬜ v3.0 Custom scoring weight configuration per team
⬜ v3.0 ATS integration — push reports directly to hiring tools
Telegram Bot → docs/telegram-demo.png
Web Dashboard → docs/web-dashboard.png
Comparison → docs/comparison-report.png