Consistency
82The supplied repositories show repeated substantial activity from 2024 through 2026 across multiple related projects, though the evidence does not establish a complete contribution history.
Accepted player card · Rank #13
@karpathy
Andrej
I like to train Deep Neural Nets on large datasets.
81.9Tier A
Category breakdown
rating-rubric/3
Impact
92The portfolio centers on ambitious, distinctive educational and experimental machine-learning projects, including implementations, training-oriented work, and research-oriented tools.
Quality
78Non-fork ownership, substantial project scope, clear specialization, and continued updates provide strong maturity signals; source-level engineering quality cannot be assessed from the available metadata.
Breadth
68The work spans Python, CUDA, and Jupyter Notebook, with educational, implementation, experimentation, community-oriented, and information-retrieval project types, though the domain focus is concentrated.
Depth
89Multiple major repositories show sustained ownership and meaningful scope, with activity distributed across foundational neural-network education, language-model systems, and research tooling.
Community
50The supplied follower and star counts indicate substantial public attention, but community evidence is used only as a weak positive tie-breaker and does not raise the other categories.
Contribution activity
365 day window
Playful reviews
The self-improving lab notebook
You named it autoresearch, which is either a bold research agenda or the moment the experiment started assigning itself homework. Either way, the premise has excellent mad-scientist energy.
CUDA with a side of humility
llm.c takes the grand language-model conversation and translates it into the language of kernels, memory, and compile errors: apparently even giant ideas must eventually fit through a pointer.
The committee meeting
llm-council turns model comparison into a parliamentary system, because one language model was apparently not enough bureaucracy for a single prompt.
The internet time machine
hn-time-capsule preserves old discussion as though online discourse were a fine wine. A charmingly ambitious attempt to make the comment section historically significant.
Archived before graduation
llm101n sounds like a complete curriculum, while its archived status gives it the energy of a semester that ended with an impressive final project and no sequel syllabus.
Repository highlights
karpathy/nn-zero-to-hero
84A substantial notebook-centered neural-network learning curriculum with clear educational scope and continued activity.
Jupyter Notebook23919 stars
karpathy/autoresearch
92An ambitious Python research and automation project with very recent activity and unusually broad apparent experimentation scope.
Python93515 stars
karpathy/nanogpt
88A focused Python implementation project centered on compact language-model experimentation, with sustained ownership and recent updates.
Python62008 stars
karpathy/micrograd
83A compact foundational autodiff and neural-network project presented through notebooks, combining conceptual clarity with meaningful implementation scope.
Jupyter Notebook17067 stars
karpathy/llm.c
89A substantial CUDA project targeting language-model work at a lower systems level, giving the portfolio notable computational depth.
Cuda30765 stars
karpathy/llm101n
72An archived language-model education project with substantial apparent scope, though its archived status limits evidence of ongoing maintenance.
Unknown37507 stars
karpathy/nanochat
87A large, active Python project focused on accessible language-model experimentation and tooling, with strong apparent ambition.
Python57078 stars
karpathy/llm-council
82An active Python project exploring multi-model coordination or evaluation, with an unusual and distinctive premise.
Python23813 stars
karpathy/mingpt
80A maintained Python language-model implementation project that reinforces the portfolio’s sustained focus on understandable, compact systems.
Python24782 stars
karpathy/hn-time-capsule
66A smaller Python project built around preserving or exploring historical online discussion, showing useful thematic breadth beyond model implementation.
Python668 stars
karpathy/makemore
76A Python project centered on generative modeling and language-oriented experimentation, contributing foundational depth to the portfolio.
Python4173 stars
karpathy/arxiv-sanity-preserver
73A long-running Python research-information project that broadens the portfolio into literature discovery and preservation.
Python5758 stars