#DangerousCode

Live, measured metrics for the hashtag #DangerousCode 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 #dangerouscode

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:21 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 12:21 UTC

No related tags with measured usage found for #dangerouscode.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:21 UTC

Everything below is measured over the latest 2 public posts (spanning ~51199 hours).

Top of the latest posts

  • Default Parameters TRAP: The Mutable Default Bug! Python's mutable default gotcha vs JavaScript's safe defaults - DANGEROUS difference! #javascript #python #jsvspython #defaultparameters #mutabledefaults #gotcha #pythonpitfalls #viralcoding

    JavaScriptBuzz@[email protected]002025-12-31 16:31 UTCView post →
  • import numpy as np samples = 10000000 a = np.random.normal(loc=69.3,scale=2.92,size=samples) b = np.random.normal(loc=64.1,scale=2.75,size=samples) print(str.format("prob(a>b)={}%",np.sum(a>b)/samples*100)) > prob(a>b)=90.25% #DangerousCode

    Quasimondo ♾@[email protected]002020-02-28 09:17 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/dangerouscode