Predict Bootcamp Graduate Job Placement Success
Analyze student portfolios, GitHub activity, and interview performance to predict job placement likelihood and expected salary range — before graduation day.
GitHub Analysis
Commit frequency, repo quality, language diversity, and open-source contributions scored automatically.
Portfolio Scoring
Project complexity, live deployments, and README quality evaluated against hiring benchmarks.
Placement Forecast
ML model outputs placement probability and salary band so counselors can intervene early.
Simple, Transparent Pricing
One plan. Everything included. Cancel anytime.
- ✓Unlimited student profiles
- ✓GitHub API integration
- ✓ML placement predictions
- ✓Salary range forecasting
- ✓CSV export & reporting
- ✓Priority email support
14-day free trial · No credit card required
Frequently Asked Questions
How does the placement prediction work?
Our ML model analyzes GitHub commit history, portfolio project quality, mock interview scores, and cohort benchmarks to output a 0–100 placement probability score and an estimated salary range.
Do students need to share their GitHub credentials?
No. Students simply provide their public GitHub username. We use the GitHub public API to fetch activity data — no OAuth or private access is ever required.
Can I export reports for stakeholders?
Yes. Every cohort dashboard includes one-click CSV and PDF export so you can share placement forecasts with investors, accreditors, or hiring partners.