I lost 3 hackathons in a row. So I built a vampire judge to tell me why.

说明与用途

作者创建了 Judge Fangs，一款 AI 工具，用于评估黑客松提交的项目，并与获奖项目进行比较，提供评分、失败原因和可操作的改进建议。

问题

Repeatedly losing hackathons without clear feedback on why the submissions were not winning.

结果

Judge Fangs scored 9 of 10 real winners in its top 10, with an average winner score of 96 versus 64 for non-winners, demonstrating alignment with real jury judgments.

工作流

• 1. Provide the hackathon challenge URL and the submission (DEV post, GitHub repo, email, or idea).
• 2. Judge Fangs fetches the challenge page, winners announcement via DEV API, and the repo via GitHub API; if winners post missing, uses SerpApi to locate it.
• 3. Gemma extracts judging criteria and patterns common to winners.
• 4. A Python script checks hard facts: presence of claimed technologies, title elements, demo links, video length, etc.
• 5. One call to Gemma judges the submission, returning a JSON with scores per criterion, a verdict, evidence quotes, top 3 reasons to lose, 3 fixes, and improved title and opening.
• 6. The tool presents the verdict, reads it aloud, and displays actionable feedback.

证据

Judge Fangs scored all 45 without being told which ones won. The "what winners have in common" step was built from other winning posts, so he couldn't peek at the answers.

来源

The "what winners have in common" step was built from other winning posts, so he couldn't peek at the answers.

来源

9 of the 10 real winners landed in his top 10.

来源

Average score of winners: 96. Non-winners: 64.

来源