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AI Hippo is an information site for AI and open source: static leaderboards and a GitHub trends lens, with deployability, searchability, and auditability in mind.
AI Hippo groups Model, Agent, LLM, and Toolchain boards in one place so practitioners can compare by task type. Default sample data validates layout and build pipelines; when you wire real benchmarks or aggregation APIs, copy can evolve in lockstep.
The site does not rely on user sessions; build output is static HTML for CDN and edge caching.
Paths use an explicit /{lang}/... prefix; copy loads from JSON dictionaries for easier translation. Language switches preserve the path (except the locale segment) to reduce friction.
Ranks and scores are illustrative placeholders—not procurement, investment, or compliance advice. When you cite third-party benchmarks or APIs, document licenses, refresh cadence, and known bias on Sources and Methodology.
Paths use an explicit /{lang}/... prefix; copy is loaded from JSON dictionaries. Language switches preserve the path outside the locale segment for consistent cross-language navigation.
The site is built with Astro SSG; data is committed JSON at build time. Scheduled updates may run in CI to fetch metrics or eval results, then trigger a build. Edge functions or read-only databases are supplementary only and do not replace documented sources of truth.
Ranks and scores may still be demo or placeholder in some contexts—not procurement, investment, or compliance guidance. Third-party benchmarks or APIs must cite licenses, refresh cadence, and known bias on Sources and Methodology.
