#kenjin
Live, measured metrics for the hashtag #kenjin from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #kenjin
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 2026-10-01 01:55 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 2026-10-01 01:55 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-01 01:55 UTCEverything below is measured over the latest 2 public posts (spanning ~0 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Top of the latest posts
🐍 Oh, joy! Yet another #Python update, because clearly, the previous 14 versions just weren't cutting it. 🤔 Our hero, Ken Jin, introduces a "new" profiling mode so groundbreaking, it's probably already been done before but shh... let's no
Python 3.15's Ultra-Low Overhead Interpreter Profiling Mode – Ken Jin's Blog https://fidget-spinner.github.io/posts/ultra-fast-tracing.html Comments: https://news.ycombinator.com/item?id=48918140 #HackerNews #Python315 #UltraLowOverhead #In
#kenjin across platforms
every network with a public tag surfaceFollow #kenjin 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/kenjin