Interactive Visual Encyclopedia of AI Architectures
P5/10March 15, 2026
WhatA continuously-updated, interactive platform that visually documents and compares every major ML/AI model architecture with zoomable diagrams, diff views, and structured metadata.
SignalPractitioners and researchers crave a single canonical reference for understanding how model architectures relate to each other and have evolved, but current resources are static one-off projects that quickly go stale.
Why NowThe explosion of new LLM architectures in 2024-2026 has made it nearly impossible for even full-time researchers to track what changed between models, creating urgent demand for a living reference.
MarketAI/ML engineers and researchers (~5M globally); enterprise teams evaluating models; revenue via pro tiers, team licenses, and sponsorships; competes with scattered blog posts and static diagrams like Neural Network Zoo.
MoatCommunity contribution network effects — the more architectures documented with high-quality diagrams and metadata, the harder to replicate, similar to how Papers With Code became the default.
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