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.
Profiles, repos, scores & roasts
Ship machine
Overall
81.9
/ 100
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.
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.
llm-council turns model comparison into a parliamentary system, because one language model was apparently not enough bureaucracy for a single prompt.
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.
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.
Consistency
The supplied repositories show repeated substantial activity from 2024 through 2026 across multiple related projects, though the evidence does not establish a complete contribution history.
Impact
The portfolio centers on ambitious, distinctive educational and experimental machine-learning projects, including implementations, training-oriented work, and research-oriented tools.
Quality
Non-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
The 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
Multiple major repositories show sustained ownership and meaningful scope, with activity distributed across foundational neural-network education, language-model systems, and research tooling.
Community
The 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.
Based on the bounded repository sample saved with this analysis.
63
Public repos
215796
Followers
367
Commits
1
History
84
A substantial notebook-centered neural-network learning curriculum with clear educational scope and continued activity.
Jupyter Notebook · ★ 23919
92
An ambitious Python research and automation project with very recent activity and unusually broad apparent experimentation scope.
Python · ★ 93515
88
A focused Python implementation project centered on compact language-model experimentation, with sustained ownership and recent updates.
Python · ★ 62008
83
A compact foundational autodiff and neural-network project presented through notebooks, combining conceptual clarity with meaningful implementation scope.
Jupyter Notebook · ★ 17067
89
A substantial CUDA project targeting language-model work at a lower systems level, giving the portfolio notable computational depth.
Cuda · ★ 30765
72
An archived language-model education project with substantial apparent scope, though its archived status limits evidence of ongoing maintenance.
Unknown · ★ 37507
87
A large, active Python project focused on accessible language-model experimentation and tooling, with strong apparent ambition.
Python · ★ 57078
82
An active Python project exploring multi-model coordination or evaluation, with an unusual and distinctive premise.
Python · ★ 23813
80
A maintained Python language-model implementation project that reinforces the portfolio’s sustained focus on understandable, compact systems.
Python · ★ 24782
66
A smaller Python project built around preserving or exploring historical online discussion, showing useful thematic breadth beyond model implementation.
Python · ★ 668
76
A Python project centered on generative modeling and language-oriented experimentation, contributing foundational depth to the portfolio.
Python · ★ 4173
73
A long-running Python research-information project that broadens the portfolio into literature discovery and preservation.
Python · ★ 5758
No accepted timeline events were saved.
How this score was produced
This page renders one accepted, subject-bound rating-rubric/3 result from the immutable public U1 release. Missing evidence is kept unavailable instead of inferred.
Scores are not a security audit, endorsement, or guarantee of current repository behavior.
Rated 2026-08-10 · rating-rubric/3 · aging