#datastructures

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

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-15 03:34 UTC
0
09-09
1
09-10
0
09-11
0
09-12
0
09-13
0
09-14
0
09-15

1 uses by 1 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 2026-09-15 03:34 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-15 03:34 UTC

Everything below is measured over the latest 40 public posts (spanning ~3536 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: English (30) · German (2)

Avg boosts / post: 0.5

Top of the latest posts

  • Google IDX Product Manager Kirupa Chinnathambi writes a code-backed, step-by-step review of Dijkstra's famous graph algorithm, depth, and breadth first search, touching up on Bellman-Ford and A*. This reminded me of a uni assignment where w

    Rafael Pérez 🍁@[email protected]422026-07-19 21:53 UTCView post →
  • AI has made Python more important than ever. But AI doesn't replace algorithms and data structures; understanding them is now even more valuable. The developers who thrive won't just order up generated code. They'll know what to ask for and

    Pragmatic Bookshelf 📚@[email protected]122026-07-31 19:08 UTCView post →
  • RE: https://cosocial.ca/@rhempel/116650230030112969 For two decades I've been making that same point (below), also specifically for computational/algorithmic art. It's also been a key topic in many of my past workshops. More than just being

    Karsten Schmidt@[email protected]142026-05-28 20:11 UTCView post →

#datastructures across platforms

every network with a public tag surface

Follow #datastructures straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

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/datastructures