#agilemeetsarchitecture
Live, measured metrics for the hashtag #agilemeetsarchitecture from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #agilemeetsarchitecture
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 2026-10-09 14:42 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 2026-10-09 14:42 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-09 14:42 UTCEverything below is measured over the latest 10 public posts (spanning ~22703 hours).
Posting hours (UTC)
Languages: English (7) · German (2)
Avg boosts / post: 0.9
Top of the latest posts
Agile meets Architecture 2023 is on! Eduardo da Silva is talking about "Architecture Topologies" and how they enable organizations to evolve their approaches for sustainable change. Join him in Kesselhaus or subscribe to our YouTube channel
Architecture for Flow with Wardley Mapping, DDD, and Team Topologies https://www.youtube.com/watch?v=qKLnlaWKkb4 "This talk illustrates the concepts, connects the dots between these three perspectives, and demonstrates how these techniques
The iSAQB was sponsor of the "Agile meets Architecture 2025" conference in Berlin, where experts from around the world gathered to share their insights. 💡 We had the privilege of conducting a fascinating interview with Simon Wardley, inven
#agilemeetsarchitecture across platforms
every network with a public tag surfaceFollow #agilemeetsarchitecture 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/agilemeetsarchitecture