DOGFOOD Platform Lets Anyone Recompute and Verify Hackathon Results Independently

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A new open-source hackathon platform called DOGFOOD, built by Hackathon Raptors, aims to make judging results fully transparent and independently verifiable by anyone. The platform uses a weighted scoring rubric combined with a statistical bias-removal model to adjust for judge leniency, then ranks projects by bias-corrected quality scores. When results are published, a signed bundle containing raw scores, weights, methodology, and code is hashed and signed with an Ed25519 key, allowing a standalone Python script to recompute and verify the ranking. Any alteration to the data, such as changing a single judge's score, causes verification to fail immediately. The project is available under the MIT license on GitHub and includes a public demo showing the full workflow from event creation to tamper-detection.

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