#PerformanceEngineering
Live, measured metrics for the hashtag #PerformanceEngineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #performanceengineering
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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-13 12:08 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-13 12:08 UTCNo related tags with measured usage found for #performanceengineering.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-13 12:08 UTCEverything below is measured over the latest 20 public posts (spanning ~33164 hours).
Posting hours (UTC) — busiest: 05:00
Languages: English (20)
Avg boosts / post: 0.3
Top of the latest posts
Shipping Features vs. Managing Performance ⚡️ Agentic coding is making feature delivery faster than ever. But performance engineering hasn’t kept pace. At QCon AI Boston, Martin Spier (ChatGPT Performance at OpenAI) highlighted the core cha
Oh wow, a thrilling 10-minute read on how to make #databases slightly faster with the power of ✨ custom interfaces ✨ and magical #Zig spells 🧙♂️. Because who doesn't love a good nap while someone deconstructs performance engineering that
Don't stop early: Case-folding source code at memory speed https://github.blog/engineering/architecture-optimization/dont-stop-early-case-folding-source-code-at-memory-speed/ Comments: https://news.ycombinator.com/item?id=49127983 #HackerNe
#performanceengineering across platforms
every network with a public tag surfaceFollow #performanceengineering 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/performanceengineering