#jbcontext
Live, measured metrics for the hashtag #jbcontext from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #jbcontext
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 2026-11-10 08:58 UTC0 uses by 0 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 2026-11-10 08:58 UTCNo related tags with measured usage found for #jbcontext.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-10 08:58 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
Test-driving JetBrains Context: From running `jbcontext analyze` after a few days of using JetBrains Context, it so far saves about 18% in tokens and 12% in cost. Are there others here testing as well? Similar results? Different results? Cr
#jbcontext across platforms
every network with a public tag surfaceFollow #jbcontext 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/jbcontext