#expertsystem

Live, measured metrics for the hashtag #expertsystem 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
1.5
Avg reactions / post
Mastodon · last 14

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:33 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 05:33 UTC
#expertsystems
1 uses · 1 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:33 UTC

Everything below is measured over the latest 14 public posts (spanning ~26013 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (13) · German (1)

Avg boosts / post: 1.9

Top of the latest posts

  • The 1984 Artificial Intelligence episode of the Computer Chronicles TV show, hosted by the late Stewart Cheifet, featured demonstrations of some Interlisp applications: the ONCOCIN expert system for medical consultation and the KEE Knowledg

    The Medley Interlisp Project@interlisp♥ 7↻ 52026-01-14 10:11 UTCView post →

  • The manual of EMYCIN, a rare document published in 1981, is now available at @bitsavers Bitsavers. Developed in Interlisp at Stanford University, the EMYCIN expert system shell was derived from the early expert system MYCIN. https://bitsave

    The Medley Interlisp Project@interlisp♥ 6↻ 22026-02-08 10:05 UTCView post →

  • 👆 The 1984 episode of Computer Chronicles on Artificial Intelligence also featured a demonstration of Dipmeter Advisor, an oil drilling expert system for Interlisp-D. #ai #interlisp #ExpertSystem #retrocomputing

    The Medley Interlisp Project@interlisp♥ 3↻ 42026-01-15 16:30 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/expertsystem