#LectureNotes

Live, measured metrics for the hashtag #LectureNotes from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
14
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 14
0
Avg reactions / post
Mastodon · last 14

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 19:56 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 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 2026-07-28 19:56 UTC

No related tags with measured usage found for #lecturenotes.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 19:56 UTC

Everything below is measured over the latest 14 public posts (spanning ~26949 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (13) · German (1)

Avg boosts / post: 1.6

Top of the latest posts

  • I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included. https://nadiah.org/2025/12/04/mxb261 #mathematicalEcology #ODEs #stability #math

    Nadiah Kristensen@[email protected]032025-12-04 22:48 UTCView post →
  • Quantum Computation Lecture Notes by Peter Shor https://math.mit.edu/~shor/435-LN/ #HackerNews #QuantumComputation #LectureNotes #PeterShor #MIT #Math #Education

    Hacker News@[email protected]002025-06-12 11:52 UTCView post →
  • Again late in writing up my lecture notes, but: for me, the highlight of @fabiociotti's talk in January in Leipzig was his first analogy for understanding LLMs: maybe they are something like Lotman's semiosphere, some sort of collective int

    Martin Schäfer@[email protected]002025-02-24 17:09 UTCView post →

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/lecturenotes