AI agents running research on single-GPU nanochat training automatically
Profile tree
Data from GitHub API- Contributions: 878. Past 12 months.
- Followers: 222,902. People who follow you.
- Total stars: 490,718. Across all repos.
- Following: 8. People you follow.
- Public repos: 54. Owned, non-fork.
A living snapshot
Every leaf is a headline number from Andrej’s public GitHub. The canopy fills out as the work grows - sway and all.
- 878 Contributions Past 12 months
- 223K Followers People who follow you
- 491K Total stars Across all repos
- 8 Following People you follow
- 54 Public repos Owned, non-fork
Data from GitHub API · refreshed in real time
What your GitHub says
Based on public GitHub activity · how this is calculated
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HTML is the largest language share across analyzed repositories, at 84%.
High confidence
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Public GitHub activity is implementation-heavy: commits account for 96% of tracked contribution activity.
Medium confidence
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Most analyzed repositories (29 of 40) show no public activity in over a year.
Medium confidence
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This analysis covers 40 of 54 public repositories (74%); broader totals may differ.
High confidence
Profile health
Signals from analyzed public data
Developing
- 878 contributions in the trailing year
Needs work
- 3 of 40 analyzed repositories are actively maintained
- 490,718 stars across analyzed repositories
Needs work
- 1 of 40 analyzed repositories have no description
- 38 of 40 have no topic tags
Needs work
- 3 of 40 analyzed repositories were pushed to in the last 6 months
- 29 show no public activity in over a year
Needs work
- 7 pull requests and 6 code reviews in the trailing year
- 165 repositories starred
Recruiter snapshot
A skim of public evidence, not a hiring judgement
Largest language shares across analyzed repositories
Analyzed repositories rated established or maintained
Public pull requests and code reviews in the trailing year
Summed across analyzed repositories
Calendar months with at least one tracked contribution
Strongest signals
- 878 contributions in the trailing year
- HTML 84.5%
- Jupyter Notebook 8.0%
- Python 3.6%
- Cuda 1.5%
- JavaScript 0.9%
- C 0.6%
- Other 0.9%
- Backend 100
- Data 97
- Frontend 50
- DevOps 17
- Embedded 10
- AI 3
- Mobile 0
- Security 0
- Game Dev 0
Andrej is a developer on GitHub whose public work is written mostly in HTML, which accounts for roughly 84% of their committed code, alongside Jupyter Notebook and Python. Their account holds 54 public repositories, collecting 490,718 stars in total, led by autoresearch at 96,657. In the trailing year the account logged 878 contributions, including a longest run of 15 consecutive active days. Andrej has been on GitHub since 2010 and is followed by 222,902 developers.
This overview is generated from Andrej’s public GitHub activity at the time of the last refresh. Figures cover public repositories and the trailing twelve months of contributions.
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01
Add topics to nanoGPT
High impactnanoGPT is pinned but has no topic tags, making its stack harder to identify.
nanoGPT → -
02
Add topics to nanochat
High impactnanochat is pinned but has no topic tags, making its stack harder to identify.
nanochat → -
03
Review llm.c
High impactllm.c is pinned to your profile but hasn't been pushed to in over a year.
llm.c → -
04
Add topics to llm.c
High impactllm.c is pinned but has no topic tags, making its stack harder to identify.
llm.c → -
05
Review llama2.c
High impactllama2.c is pinned to your profile but hasn't been pushed to in over a year.
llama2.c → -
06
Add topics to llama2.c
High impactllama2.c is pinned but has no topic tags, making its stack harder to identify.
llama2.c → -
07
Add topics to micrograd
High impactmicrograd is pinned but has no topic tags, making its stack harder to identify.
micrograd →
How these are calculated: see the methodology page .
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The best ChatGPT that $100 can buy.
LLM training in simple, raw C/CUDA
LLM Council works together to answer your hardest questions
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Neural Networks: Zero to Hero
Inference Llama 2 in one file of pure C
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The best ChatGPT that $100 can buy.
LLM training in simple, raw C/CUDA
Inference Llama 2 in one file of pure C
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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autoresearch 96,657 ★
AI agents running research on single-GPU nanochat training automatically
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nanoGPT 63,341 ★
The simplest, fastest repository for training/finetuning medium-sized GPTs.
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nanochat 58,238 ★
The best ChatGPT that $100 can buy.
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LLM101n 37,488 ★
LLM101n: Let's build a Storyteller
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llm.c 31,047 ★
LLM training in simple, raw C/CUDA
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llm-council 24,966 ★
LLM Council works together to answer your hardest questions
Public visibility is moderately spread across several repositories rather than one or two.
Leading repository: autoresearch (96,657 stars, 490,718 total across analyzed repositories)
Technology breakdown
Derived from repository languages and topics - horizontal bars, never a pie.
Languages
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HTML 84%
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Jupyter Notebook 8%
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Python 4%
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Cuda 2%
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JavaScript 1%
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C 1%
Frameworks
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Flask 100%
README, contributing-guide and GitHub Actions badges below are detected by exact filename on each repository’s default branch - they report presence, not quality.
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nanochat MaintainedPopularity 60Discoverability 50Maintenance 100README No contributing guide No CI workflow
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autoresearch DevelopingPopularity 100Discoverability 25Maintenance 40README No contributing guide No CI workflow
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nanoGPT DevelopingPopularity 67Discoverability 50Maintenance 40README No contributing guide No CI workflow
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micrograd EstablishedPopularity 18Discoverability 50Maintenance 85README No contributing guide No CI workflow
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arxiv-sanity-lite DormantPopularity 2Discoverability 100Maintenance 0README No contributing guide No CI workflow
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llm.c DormantPopularity 32Discoverability 50Maintenance 15README No contributing guide CI: 3 workflows
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karpathy.github.io MaintainedPopularity 2Discoverability 25Maintenance 65No README No contributing guide No CI workflow
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llm-council DevelopingPopularity 26Discoverability 25Maintenance 40README No contributing guide No CI workflow
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rustbpe DevelopingPopularity 1Discoverability 50Maintenance 40README No contributing guide CI: 2 workflows
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arxiv-sanity-preserver DormantPopularity 6Discoverability 75Maintenance 0README No contributing guide No CI workflow
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minGPT DormantPopularity 26Discoverability 50Maintenance 0README No contributing guide No CI workflow
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nn-zero-to-hero DormantPopularity 26Discoverability 50Maintenance 0README No contributing guide No CI workflow
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Eigene Angaben ergänzen
Repository explorer
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| Name | Language | Stars | Forks | Size | Updated |
|---|
No repositories match those filters.
Coding statistics
→
Contribution patterns
→
By year
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2026
320
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2025
743
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2024
1,254
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2023
561
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2022
153
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2021
179
By day of week
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Sun
82
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Mon
111
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Tue
111
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Wed
66
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Thu
65
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Fri
91
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Sat
113
Best coding day: Sat
By month (last 12)
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Oct
191
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Nov
38
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Dec
50
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Jan
98
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Feb
81
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Mar
82
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Apr
33
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May
1
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Jun
0
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Jul
24
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Aug
1
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Sep
0
GitHub journey
→
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April 2010
Joined GitHub
Created the @karpathy account.
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December 2011
Created first repository
Published researchpooler, the oldest repository still on the account.
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December 2011
First starred repository
researchpooler is the earliest-created repository to have earned stars.
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May 2015
Reached 10 repositories
char-rnn was the 10th public repository created.
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June 2024
Most productive year: 2024
1,254 contributions recorded in 2024, more than any other year on record.
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March 2026
Latest repository
jobs is the most recently created repository.
Developer evolution
Your GitHub career, year by year.
→
Started with Python.
- Repos this year
- 1
- Total repos
- 1
- Stars, as of today
- 506
Shifted from Python to JavaScript.
- Repos this year
- 1
- Total repos
- 2
- Stars, as of today
- 1.2k
Went deeper into JavaScript.
- Repos this year
- 6
- Total repos
- 8
- Stars, as of today
- 23k
Shifted from JavaScript to Jupyter Notebook.
- Repos this year
- 5
- Total repos
- 13
- Stars, as of today
- 49k
Started with Python.
- Repos this year
- 1
- Total repos
- 15
- Stars, as of today
- 50k
Shifted from Python to Jupyter Notebook.
- Repos this year
- 1
- Total repos
- 16
- Stars, as of today
- 51k
Shifted from Jupyter Notebook to Python.
- Repos this year
- 3
- Total repos
- 19
- Stars, as of today
- 94k
Shifted from Python to Jupyter Notebook.
- Repos this year
- 3
- Total repos
- 22
- Stars, as of today
- 99k
- Contributions
- 179
Went deeper into Jupyter Notebook.
- Repos this year
- 4
- Total repos
- 26
- Stars, as of today
- 191k
- Contributions
- 153
Shifted from Jupyter Notebook to C.
- Repos this year
- 2
- Total repos
- 28
- Stars, as of today
- 217k
- Contributions
- 561
Shifted from C to Python.
- Repos this year
- 4
- Total repos
- 32
- Stars, as of today
- 301k
- Contributions
- 1,254
Went deeper into Python.
- Repos this year
- 5
- Total repos
- 37
- Stars, as of today
- 392k
- Contributions
- 743
Shifted from Python to HTML.
- Repos this year
- 3
- Total repos
- 40
- Stars, as of today
- 491k
- Contributions
- 320
Built from karpathy’s public, non-fork repositories. Star totals reflect current counts, not historical snapshots.
Achievements
7 / 9 unlocked
Open source activity
Language evolution
The primary languages of repositories created each year.
- Python
- JavaScript
- CSS
- HTML
- JavaScript
- Python
- HTML
- Jupyter Notebook
- Lua
- Python
- Python
- Jupyter Notebook
- Jupyter Notebook
- Python
- Jupyter Notebook
- Python
- Jupyter Notebook
- Python
- C
- Python
- Cuda
- Python
- Python
- HTML
- Python
- Rust
Repository growth
Repositories created per year, and the running total.
Language tree
Built automatically from repository languages and topics.
Programming Languages →
- HTML
- Jupyter Notebook
- Python
- Cuda
- JavaScript
- C
Frontend & Backend →
- Flask 1