I’m the maker of TierSpectrum, a project I originally built and submitted for the Google Cloud Hackathon. The Problem: The "Ambiguity" of Tier Lists Tier lists are everywhere, but they are fundamentally flawed: "Why is this S-tier?" – The reasoning is rarely shared. The "Boundary" Problem – The difference between A and B is usually just a feeling. Loss of Context – Once a list is exported as an image, all the underlying logic disappears. I built TierSpectrum to redefine the "Tier List culture" by making the evaluation process structured and transparent. The Solution: TierSpectrum It’s an AI-integrated collaborative tool that turns subjective rankings into explainable, quantified data. Key Features: Quantified Scoring: Items aren't just "placed"; they are scored based on specific "Reasoning Points." Explicit Criteria: You can define numerical thresholds for each tier, making the boundaries between S, A, and B crystal clear. Score Graph View: Visualize the distribution of all items to identify structural biases or gaps in your ranking. AI Agent Engine: Integrated with Google’s Agent Development Kit (ADK). The AI understands the current state of your list and helps you refactor, score, and adjust items based on your logic. This was a challenging project to build during the hackathon, especially integrating real-time collaboration with AI-driven data manipulation. I’d love to get your feedback on how this tool can make decision-making more transparent! Check it out here: https://tierspectrum.com

TierSpectrum

Tierlists for constructive debate powered by LLMs.

Tierlists for constructive debate powered by LLMs.