rwilhelm-98/scaleupmaphackathon
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- 2
- Last pushed
- Updated Oct 2026
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ScaleupMap Smart Onboarding
A hackathon onboarding system for ScaleupMap that replaces a static questionnaire with a Jev AI System-1 multi-factor scoring engine, producing a normalized six-dimensional cognitive weight vector and affinity scores across seven platform destinations.
- Stars
- 0
- Language
- JavaScript
- Reading time
- 2 min
- Published by
- Community
- Author
- RWilhelm-98
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Languages
- JavaScript
- Capabilities
- Open source
Highlights
- A Jev AI System-1 multi-factor scoring engine evaluates founder responses instead of treating onboarding as a static questionnaire.
- Outputs a normalized six-dimensional cognitive weight vector covering strategic clarity, traction readiness, capital readiness and investor fit.
- The vector also covers execution velocity and risk mitigation, described as sprint discipline, KPI rigor and detection of investor red flags.
- Calculates affinity scores across all seven ScaleupMap platform destinations and includes automated tool routing.
- Built for Challenge 2: Smarter Onboarding; JavaScript with 0 stars and 2 forks, created 2026-10-14, pushed 2026-10-15.
Watch out
README and GitHub metadata reviewed 2026-10-17; the captured excerpt stops mid-sentence in the executive summary, so the routing logic, calibration details, interface and demo instructions are not visible, and no license is listed.
Questions about this entry
Short answers drawn from the linked project or page.
A hackathon project for ScaleupMap that replaces a static onboarding questionnaire with a Jev AI System-1 multi-factor scoring engine over founder responses.
Six: strategic clarity, traction readiness, capital readiness, investor fit, execution velocity and risk mitigation, each described in the README with example criteria such as problem-solution fit and sales repeatability.
The README says the engine evaluates founder responses with Jev AI's System-1 multi-factor scoring and outputs a normalized cognitive weight vector; the excerpt does not show the request format or the questions asked.
The engine calculates affinity scores across all seven ScaleupMap platform destinations using the platform reference specification, and the project also advertises automated tool routing.
Challenge 2: Smarter Onboarding. The README describes it as built for ScaleupMap with Jev AI decision modeling, multi-factor weight calibration and automated tool routing.
GitHub metadata lists JavaScript with 0 stars and 2 forks, created 2026-10-14 and last pushed 2026-10-15. The digest shows no license for the repository.
The captured text cuts off mid-sentence in the executive summary, so the implementation, the calibration details, the interface and instructions for running the project are not available for review.
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