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Tech leads and training managers at IT companies with 50–200 employees spend 2–4 weeks designing practical skills training programs—Git workflows, shell scripting, debugging tools, and other 'not taught in school' skills—for new hires and career-switchers. They create scattered documentation across internal wikis without a structured curriculum, resulting in an average onboarding completion time of 3 months.
Users input their team's tech stack (languages, frameworks, CI/CD, cloud) and the system auto-generates MIT Missing Semester-style practical training courses. Each module includes hands-on assignments with auto-grading scripts, and tech leads can track new developers' progress on a dashboard.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |