#ghc
Live, measured metrics for the hashtag #ghc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ghc
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 · mas.to (Mastodon public tags API) · fetched 2026-10-18 06:33 UTC2 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-18 06:33 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-18 06:33 UTCEverything below is measured over the latest 40 public posts (spanning ~9470 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (37) · German (1)
Avg boosts / post: 0.9
Top of the latest posts
#GHC now runs in your browser (via #WASM)! https://discourse.haskell.org/t/ghc-now-runs-in-your-browser/13169?u=jaror #haskell
niklas-heer/speed-comparison: A repo which compares the speed of different programming languages. https://github.com/niklas-heer/speed-comparison This projects tries to compare the speed of different #programming languages. It uses an imple
Saw someone at work referred to GitHub Copilot as "GHC" and I want to cry #haskell #ghc
#ghc across platforms
every network with a public tag surfaceFollow #ghc 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/ghc