#MapReduce
Live, measured metrics for the hashtag #MapReduce from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mapreduce
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 2026-09-12 19:35 UTC1 uses by 1 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 2026-09-12 19:35 UTCNo related tags with measured usage found for #mapreduce.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-12 19:35 UTCEverything below is measured over the latest 26 public posts (spanning ~33606 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (16) · Russian (10)
Avg boosts / post: 0
Top of the latest posts
It's 5am. I've set up Hadoop on Arch Linux in WSL2. There... were issues. But it works. And now nobody can stop me from performing word counts on lorem ipsum text using MapReduce. Nobody!! #Hadoop #MapReduce #BigData #Python
I hate the new-ish editing style of #YouTube #Content #Creators! 🤬 On MY box, the 1st 250ms ALWAYS get cut off! What's it called; #Boomer lag? BULLSHIT! 🤬 1st of all, i'm a #Millennial! 😅 2nd, i ALWAYS open videos in a new tab, sometimes
Как заставить LLM проанализировать хранилище из тысяч заметок, которое не влезает в контекст У меня в Obsidian накопилось под две тысячи заметок. Ежедневники, конспекты, обрывки идей, недописанные черновики. Граф‑вью честно показывает мне о
What “mapreduce” means
WikipediaMapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster.
“MapReduce” on Wikipedia (CC BY-SA) →#mapreduce across platforms
every network with a public tag surfaceFollow #mapreduce 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/mapreduce