New entry

Add a project with enough context to score it.

Capture the problem, the weakness, the lanes, the tools, and the next action before doing more build work. Evidence stays separate from private operating data.

Project titleRequired

What reviewers will see first. Be specific.

SummaryRequired

One paragraph. What is this project and what does it prove?

Problem solvedRequired

The real-world problem this project addresses.

Current weaknessRequired

What evidence is missing right now?

Next actionRequired

The single most-leveraged thing to do next.

Status

Defaults to idea.

Tools

Comma-separated. Example: Next.js, TypeScript, Supabase.

Career lanesRequired

Pick at least one. Lanes drive scoring and gap detection.

Data foundationPython, SQL, analytics, dashboards, ETL, and quantified findings.SWE bridgeTypeScript, tests, APIs, modular code, CI, deployment, and maintainability.Full-stack and data engineeringDatabase-backed apps, backend routes, schemas, auth, validation, and orchestration.AI engineering prepEvaluation rubrics, tool orchestration, model-output validation, and human review loops.M.S. AI readinessEvidence supporting graduate-level AI preparation without overclaiming.

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