#modeldrivenengineering
Live, measured metrics for the hashtag #modeldrivenengineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modeldrivenengineering
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-09-30 06:52 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-30 06:52 UTCNo related tags with measured usage found for #modeldrivenengineering.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-30 06:52 UTCEverything below is measured over the latest 5 public posts (spanning ~6345 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.2
Top of the latest posts
Announcing Axminster, coming soon from Chiron Codex. An app for visual software design and model-driven engineering, with MCP integration for your LLM coding tools. https://chironcodex.com/axminster/index.html #softwareengineering #aicoding
In this excerpt from a Chiron Codex live stream, I use the #axminster #modeldrivenengineering tool to explore the design of the subscription payments feature in a web app I'm working on. This shows how Axminster supports working with an LLM
Introducing Axminster—AI-augmented Model-Driven Engineering https://youtu.be/7wzTbEr3f3s Axminster is a tool that lets human software engineers and LLM-based assistants collaborate on software models. Visualise your software designs, and ca
#modeldrivenengineering across platforms
every network with a public tag surfaceFollow #modeldrivenengineering 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/modeldrivenengineering