#desktopautomation
Live, measured metrics for the hashtag #desktopautomation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #desktopautomation
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 2026-11-13 14:44 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 2026-11-13 14:44 UTCNo related tags with measured usage found for #desktopautomation.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-13 14:44 UTCEverything below is measured over the latest 17 public posts (spanning ~26704 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (17)
Avg boosts / post: 0.4
Top of the latest posts
Abhishek Yadav (@abhishek__AI) 오픈소스 도구 agent-desktop은 데스크톱 UI를 구조화된 데이터로 변환해 AI 에이전트가 픽셀 매칭 없이 안정적인 요소 참조로 조작할 수 있도록 지원한다. macOS, Windows, Linux에서 동작하며 창 포커스를 빼앗지 않는다. https://x.com/abhishek__AI/status/2117231229816955252 #aiagents #desktop
Vercel: Computer use CLI for AI agents Vercel의 agent-desktop은 데스크톱 앱의 접근성 트리를 JSON으로 읽고 요소별 참조값을 통해 에이전트가 UI를 조작할 수 있게 하는 CLI 및 C 라이브러리다. macOS, Windows, Linux를 지원하며, 호출하는 에이전트가 UI 관찰·조작·결과 검증 루프를 직접 구현해야 한다. 픽셀 인식이나 LLM을 내장하지 않으므로 접근성 트리를
When #LLM based agents are mostly used to automate routine work like emptying one’s inbox, it is not a proof for their usefulness - it’s an indictment of the existing non-LLM #desktopAutomation tools. I’d accept using LLMs for text processi
#desktopautomation across platforms
every network with a public tag surfaceFollow #desktopautomation 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/desktopautomation