AI Hippo
AI Hippo
Hungry for Data, Open for All
Six boards—models, agents, LLMs, toolchains, token providers, and aggregators—so you can weigh and compare intelligence across the AI stack. Sample data for now; plug in real benchmarks when you are ready.
Leaderboards
- Cross-task Model leaderboard Multimodal, vision, language, and related metrics
- Autonomous Agent leaderboard Planning, tool use, task completion
- LLMs LLM leaderboard Scale, instruction following, reasoning
- Engineering Toolchain leaderboard Data, training, evaluation, release
- Auth Token provider leaderboard API keys, OAuth, and enterprise token governance
- Catalog Model aggregator leaderboard Multi-vendor model directories and routing fronts
Highlights
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Static-first
HTML at build time—SEO, CDN, and edge caching.
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Six boards
Models, agents, LLMs, toolchains, token providers, and model aggregators on one domain.
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Evolvable data
Replace JSON sources; optional CI refresh.
Audience
- Engineering and product teams comparing models, agents, and toolchains
- Researchers, advocates, and contributors tracking OSS and GitHub activity
- Teams publishing eval or aggregation results as static, indexable pages
- Organizations requiring auditable methodology and source citations alongside metrics
Data to pages
- Maintain or generate JSON under data/rankings.
- Run Astro to emit locale-prefixed routes.
- Deploy to static hosting such as Cloudflare Pages; optional Actions for data refresh.
Use cases
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Product and roadmap
Cross-check model capability, agent completion, LLM instruction and reasoning, toolchain coverage, token and auth offerings, and model aggregation fronts across six boards; the same vendor may appear on multiple boards to align releases and engineering effort.
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Evaluation and reproducible publishing
With fixed task suites and scoring scripts, wire JSON from the pipeline and pin versions, weights, and seeds in Methodology; publish sub-scores and failure cases where appropriate.
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Open-source ecosystems
Leaderboards emphasize capability and delivery; GitHub trends emphasize community activity—they complement each other. High stars do not imply top benchmark scores; sustained maintenance and discussion often signal adoption.
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Communications and compliance
Static pages serve as citeable snapshots: retain URLs, fetch times, and licenses on Sources; FAQ clarifies the boundary between sample and production data.
Scope & data policy
Leaderboards use sample data; production use requires evaluator output and synchronized Methodology and Sources pages.