The AI ecosystem moves at an unprecedented pace. We believe the bottleneck isn't intelligence — it's access.
Every day, thousands of new models land on HuggingFace, dozens of papers publish on arXiv, frameworks push breaking changes, and the cost-performance frontier shifts. Developers shouldn't have to spend hours tracking what matters. They should be building.
Dog Kitchen is a real-time intelligence layer that monitors the AI ecosystem across multiple data surfaces and distills it into an instantly searchable, actionable interface. We don't just aggregate — we score, rank, contextualize, and deliver.
Six pillars of the AI developer operating system
Resource Search
A curated, instantly searchable index of MCP servers, prompts, agent skills, workflow loops, and developer tools. One-click copy. Keyboard-first UX.
News Intelligence
AI headlines aggregated across research, industry, policy, and open source — each scored by an algorithmic quality signal that separates noise from signal.
Live Data Dashboard
Real-time AI market pulse: LLM leaderboards, model pricing, HuggingFace trends, arXiv papers, GitHub activity, Hacker News discourse — unified in one view.
Influencer Rankings
Data-driven rankings of 50+ researchers, builders, and thought leaders — indexed by h-index, citations, GitHub impact, and engagement metrics from verified sources.
Education
A structured AI fundamentals curriculum spanning models, prompts, MCP architecture, and agent workflows — designed for both newcomers and practitioners refreshing their mental models.
Dog Kitchen Pro
Enterprise-grade AI intelligence. Historical trend data, programmatic API access, custom webhook alerts, CSV/JSON exports, advanced model cost analytics, and weekly curated digests — for teams and power users who need an edge.
Coming SoonRigorous data, transparent process
Multi-Source Aggregation
We ingest data from 8+ authoritative APIs and data sources in real-time: HuggingFace, arXiv, GitHub, PyPI, Hacker News, Google Scholar, Semantic Scholar, and the LMSYS Chatbot Arena. Every data point is traceable to its origin.
Quality Scoring
Raw data is necessary but insufficient. Our proprietary scoring algorithm evaluates content across multiple quality dimensions — relevance, recency, source authority, and community engagement — to surface what genuinely matters.
Verification & Integrity
Influencer rankings use cross-referenced citation data. Engagement-to-follower ratios are analyzed to filter bot-inflated metrics. Model benchmarks cite primary evaluation sources. We show our work.
Crafted in New York City
Dog Kitchen is created by victorhugo.ai, through Geekingout.net — a digital agency specializing in applied AI interfaces, developer infrastructure, and data-driven product design.
We operate at the intersection of information architecture and AI tooling. Our background spans distributed systems, data engineering, and product design across multiple verticals. We build tools we use ourselves.
New York City informs our sensibility: speed, density, utility. No fluff. Ship what matters.
We'd love to hear from you
Whether it's a partnership inquiry, feedback, press request, or just saying hello — drop us a line.
