#AWS
Live, measured metrics for the hashtag #AWS from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aws
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 2026-09-07 17:20 UTC86 uses by 64 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 2026-09-07 17:20 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-07 17:20 UTCEverything below is measured over the latest 40 public posts (spanning ~75 hours).
Posting hours (UTC) — busiest: 04:00
Languages: English (37) · Dutch (1) · Italian (1) · Romanian (1)
Avg boosts / post: 1.4
Top of the latest posts
Season 1 Lesson 40 Part 9 - Your First Steps in Python Python Path Handling Slash Secrets #machinelearning #softwarengineer #softwaredeveloper #learncoding #pythonprogramming #codingtutorial #jupyternotebook #datascience #dataanalysis #data
We are finally back with a new blog post: The 2026 AWS Nextflow Survival Guide I’ve been running Nextflow on AWS for many years and my setup has now shifted again, this time to focus on free & open source components of Nextflow. My new guid
Match Group is hiring Software Engineer II, Backend 🔧 #cplusplus #golang #java #typescript #node #aws #azure #cicd #docker #gcp #kafka #kubernetes #nosql #redis 🌎 Los Angeles, California ⏰ Full-time 🏢 Match Group Job details https://jobs
What “aws” means
Wiktionary · WikipediaAmazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis.
“Amazon Web Services” on Wikipedia (CC BY-SA) →#aws across platforms
every network with a public tag surfaceFollow #aws 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/aws