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karpathy
LLM101n
OPEN SOURCE2024–2026
karpathy / LLM101n · Archived

LLM101n

LLM101n: Let's build a Storyteller

8Distinct people
8Mentions
0Explicit recommenders
37.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

LLM101n: Let's build a Storyteller

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month8 dated mentions

Observed mentions: 2024-06-21 19:29:13 UTC to 2026-05-29 09:07:10 UTC.

01232024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 20242024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20252025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC110
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC303
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC101
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC110

What Hacker News says

8 sources
alexmolas·May 29, 2026Submission

Ask HN: What happened with Eureka Labs, Karpathy's startup?

In 2024 Andrej Karpathy launched Eureka Labs [1], an AI-first education startup. Since the initial announcement, I haven't seen much public activity or updates, and the GitHub org [2] and course repo [3] appear empty or unused. Also, Recently Karpathy also joined Anthropic. He even removed Eureka Labs from his LinkedIn. Does anyone know what happened to Eureka Labs? [1]: https://eurekalabs.ai/ [2]: https://github.com/EurekaLabsAI [3]: https://github.com/karpathy/LLM101n
6 points · Open discussion
Do you think you could expand on that? Like how you might imagine an ideal workflow to go? Would there be like a sea of tags that you could wade through, or just an '/all', only items you specifically subscribe to + your connections subscriptions according to some ranking algo? Items would 'fall off' or out of view(?) after X time/X amount of browsing a differently weighted topic? I ask because being honest, you're a big inspiration for myself, and inadvertently, adding an LLM-curated RSS feed reader as a planned feature to a project I'm working on. (I saw https://github.com/karpathy/LLM101n when I was getting interested in LLMs, and then got inspired by your project to start to attempt to build something like the primer from the diamond age. Where that leads is that I see an RSS feed reader + curation via self-described or identified int
Read the rest
erests as being a 'core' piece of information gathering for the 'future' individual and have had it on the to-do list as a feature-add for my project.
In Reading RSS content is a skilled activity
Their goal might not even be to build a high growth high revenue business. Sustainable yes. So perhaps low growth, low - med revenue and who knows potentially high revenue. If anyone else had done this, I'd be very skeptical but give Andrej's penchant for teaching and how good he is really at it, I am super excited about this endeavour. Let's not forget the inbound and organic interest this would drive. For the intro LLM Course, people are already submitting PRs and Andrej is requesting them not to. Imagine that! https://github.com/karpathy/LLM101n Update June 25. To clarify, the course will take some time to build. There is no specific timeline. Thank you for your interest but please do not submit Issues/PRs.
In I am starting an AI+Education company
Their first planned product is an online course for building a "Storyteller" LLM, explicitly stating that the course will take some time to build and that there is no timeline on when it will launch [1]. The company page states that their vision merely "feels tractable", and concedes that they might not be successful [2]. There is a lack of arguments regarding how they can bring any substantial advancements over current generative AI tech. At present this all looks rather underwhelming, with a substantial dose of wishful thinking. [1] https://github.com/karpathy/LLM101n [2] https://eurekalabs.ai/
In I am starting an AI+Education company

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