#engineeringculture
Live, measured metrics for the hashtag #engineeringculture from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #engineeringculture
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.social (Mastodon public tags API) · fetched 2026-09-30 09:35 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-30 09:35 UTCNo related tags with measured usage found for #engineeringculture.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-30 09:35 UTCEverything below is measured over the latest 40 public posts (spanning ~8377 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (39) · Swedish (1)
Avg boosts / post: 0.6
Top of the latest posts
Specialists matter. But if every ticket has to wait for one specific person, the whole team becomes slower. The bottleneck isn't the technology. It's the dependency. #EngineeringCulture #Agile
The Engineering Leadership Crisis Nobody Talks About 🚨 #EngineeringLeadership #SoftwareEngineering #PlatformEngineering #TechLeadership #Microservices #SRE Modern engineering teams are collapsing under platform complexity, AI chaos, organi
In the pursuit of High-Performing Engineering Teams, we often focus on code commits & metrics. But what if the most important signals live in the relationships between teammates? In this #InfoQ talk, Lizzie Matusov explores how trust and ps
#engineeringculture across platforms
every network with a public tag surfaceFollow #engineeringculture 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/engineeringculture