#staticanalysis
Live, measured metrics for the hashtag #staticanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #staticanalysis
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 20:34 UTC2 uses by 2 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 20:34 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 20:34 UTCEverything below is measured over the latest 40 public posts (spanning ~10091 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (34) · German (3) · Russian (1)
Avg boosts / post: 0.4
Top of the latest posts
Applicatives allow performing static analysis, while monads do not. But what does it mean in practice? Why is it so? And what kind of static analysis is this referring to? And what happens if we use categories instead of monads? These are s
Recently, I made a stupid mistake that made me think about the way C++ APIs handle dependencies and what we can do to prevent dangling references and lifetime issues. 🤔 It was a surprisingly fun topic to explore that led me to the discover
Opengrep (open-source Semgrep-fork) in v1.24.0 released https://secburg.com/posts/opengrep-v1240-released/ #Opengrep #SAST #AppSec #StaticAnalysis #OpenSource #semgrep
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/staticanalysis