#SocialComputing

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

hashtag.org network · sponsored

Own #socialcomputing

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.

$5.00/ year · 15-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
34
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 34
1.8
Avg reactions / post
Mastodon · last 34

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:13 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 11:13 UTC

No related tags with measured usage found for #socialcomputing.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:13 UTC

Everything below is measured over the latest 34 public posts (spanning ~36077 hours).

Top of the latest posts

  • Been thinking more about how to introduce “design friction” to improve our online interactions. Mastodon has many, such as the lack of a quote-post function, that constrain virality. But, we lose the pro-social effects of virality, such as

    Cori Faklaris 👩🏻‍💻@[email protected]4162022-11-12 22:58 UTCView post →
  • Here’s my #introduction — I wandered over here as part of the #twittermigration. I write and research developer documentation and am finishing a graduate certificate in human-computer interaction. My goal is to continue on to a PhD. Interes

    Rae (they)@Rachel_Mahan702022-11-07 03:00 UTCView post →
  • The past few days I've been thinking a lot again about one of the thought/design models most influential on my own #OpenSource practice: Frank Duffy's architectural pace layers (and Stewart Brand's subsequent extension to different contexts

    Karsten Schmidt@[email protected]3212023-06-17 17:14 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/socialcomputing