The AI ecosystem moves faster than anyone can track. The bottleneck isn't access to tools — it's knowing which ones still make sense this week.
Models ship daily. Prices move without announcements. Benchmarks shift, context windows grow, and the cost-performance frontier slides out from under you. The model you standardized on last quarter may already be the wrong call — and nothing tells you when that happens.
Dog Kitchen is a real-time intelligence layer for that problem. We track rankings, pricing, and benchmarks across the ecosystem, keep a dated history of every snapshot, and publish original indices — Cost Efficiency and Open vs. Closed Parity — that turn raw numbers into a decision. Then we hand you a curated index of resources so the decision becomes working code.
Six pillars, one throughline: know what to build with
AI Pulse
The decision layer: LLM Arena rankings, real token costs across every major provider, benchmark comparisons, and two original indices — Cost Efficiency and Open vs. Closed Parity. Every snapshot dated and kept.
News Intelligence
AI headlines aggregated across research, industry, policy, and open source — each scored by an algorithmic quality signal that separates noise from signal.
Resource Index
Once you've picked, go build: a curated, instantly searchable index of MCP servers, prompts, agent skills, workflow loops, and developer tools. One-click copy. Keyboard-first UX.
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
The same intelligence, with history and alerts. Watch the models you depend on and get told when price or benchmark moves, query the full dated archive over API, and export it — for teams whose infrastructure bill depends on knowing early.
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.
