Giskard is a legitimate, high-potential AI safety and red-teaming platform with verified backing from Elaia and Bessemer, and enterprise clients like BNP Paribas and Google DeepMind. However, the submission itself contained significant quality issues, including hyperbolic claims ('everyone', 'most people have used my product') and misused financial terminology. While the project's real-world utility, technical innovation, and market timing are exceptional, the score is heavily penalized by the poor quality of the evidence provided and the false claims regarding audience reach.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline