Building Raptor: A Hackathon Judging Platform That Checks Its Own Homework

说明与用途

Raptor 是一个自托管的黑客松平台，验证 GitHub 提交、标准化评委评分，并提供透明的排行榜。

问题

Hackathon platforms often trust submission data without verification, risking unfair judging and lack of auditability.

结果

Raptor enforces end‑to‑end verification, transparent scoring, and platform‑wide leaderboards while remaining fully self‑hosted with zero cloud dependencies.

工作流

• Register and form a team
• Submit project via GitHub link
• Automated verification of commit window and repo visibility
• Flagged submissions routed to organizer review
• Assign projects to judges
• Judges score using rubric, bonus, and feedback
• Normalize scores per judge profile
• Publish results and issue certificates
• Update platform‑wide leaderboard

证据

Every submitted project gets checked against its own GitHub commit history before a judge ever opens it.

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The network isolation is the important part. postgres and redis sit on a data‑only network with zero exposed ports to the outside world.

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Normalization clearly helps. Effect shrinks, sample size matters more.

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