#nanoGPT
Live, measured metrics for the hashtag #nanoGPT from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nanogpt
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 16:24 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 16:24 UTCNo related tags with measured usage found for #nanogpt.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 16:24 UTCEverything below is measured over the latest 14 public posts (spanning ~28153 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (12) · German (2)
Avg boosts / post: 0.6
Top of the latest posts
#nanoGPT reproduces #GPT-2 (124M) on OpenWebText, running on a single 8XA100 40GB node in 38 hours of training. https://github.com/karpathy/nanoGPT #chatGPT #machinelearning #artificialintelligence
That is a nice visualization to get an intuition of what goes on under the hood of LLMs: https://bbycroft.net/llm Since it is build on nano-gpt, tokenization is splitting by character, but the other phases should be pretty realistic. "Let's
Aaaaand the winner iiiis: 😊 1️⃣ How does ChatGPT work, actually? (2023-01) A relatively easy-to-grasp explanation how #ChatGPT works, yet still accurate on a high level. Starting with an explanation of ChatGPT's little cousin, #NanoGPT, an
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/nanogpt