AI Hippo
AI Hippo
Hungry for Data, Open for All
Sechs Rankings (Modelle, Agenten, LLMs, Toolchains, Token-Provider, Modell-Aggregatoren) mit Beispieldaten, als HTML beim Build gerendert.
Rankings
- Cross-Task Modell-Ranking Multimodal, Vision, Sprache …
- Autonom Agenten-Ranking Planung, Tool-Nutzung, Abschluss
- LLMs LLM-Ranking Größe, Befolgung, Reasoning
- Engineering Toolchain-Ranking Daten, Training, Eval, Release
- Auth Token provider leaderboard API keys, OAuth, and enterprise token governance
- Catalog Model aggregator leaderboard Multi-vendor model directories and routing fronts
Säulen
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Statisch zuerst
HTML beim Build—SEO, CDN, Edge.
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Sechs Rankings
Modelle, Agenten, LLMs, Toolchains, Token-Provider und Aggregatoren an einem Ort.
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Evolvierbare Daten
JSON tauschen; CI für 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
Von Daten zu Seiten
- JSON unter data/rankings pflegen oder erzeugen.
- Astro ausführen für sprachpräfixierte Routen.
- Auf statisches Hosting (z. B. Cloudflare Pages) deployen; optional Actions für Daten.
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.
Rahmen
Rankings sind Beispieldaten—vor Produktion durch Evaluator ersetzen und Methodik & Quellen aktualisieren.