#quickcheck

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

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$23.52/ year · 10-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
36
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 36
0.3
Avg reactions / post
Mastodon · last 36
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-11 05:37 UTC
0
09-05
0
09-06
0
09-07
0
09-08
0
09-09
0
09-10
0
09-11

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 2026-09-11 05:37 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-11 05:37 UTC

Everything below is measured over the latest 36 public posts (spanning ~68986 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (34) · Russian (1)

Avg boosts / post: 0.9

Top of the latest posts

  • Discover the power of property-based testing in R with the #quickcheck package! Seamlessly integrates with #testthat and offers a variety of generators for atomic vectors, lists, and tibbles. Perfect for ensuring your code's reliability. Ch

    Data Science@[email protected]212024-08-08 10:00 UTCView post →
  • FYI I'll be speaking at #HaskellX about property based testing and explaining an approach to shrinking that solves some prevalent annoyances in tools like QuickCheck and Hedgehog. Would be glad to discuss more before the talk (to make it be

    Martin Janiczek@[email protected]262022-11-08 13:37 UTCView post →
  • Gave a talk yesterday: "Property Based Testing to verify a pipelined CPU design (hardware)" at the New England Programming Languages and Systems Symposium (NEPLS), about verifying my Fife RISC-V CPU using U.Cambridge's TestRIG (which uses H

    RSNikhil@[email protected]102025-11-19 00:13 UTCView post →

What “quickcheck” means

Wikipedia

QuickCheck is a software library, a combinator library, originally written in the programming language Haskell, designed to assist in software testing by generating test cases for test suites – an approach known as property testing.

QuickCheck” on Wikipedia (CC BY-SA) →

#quickcheck across platforms

every network with a public tag surface

Follow #quickcheck 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/quickcheck