#ssas

Live, measured metrics for the hashtag #ssas from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #ssas

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.

$2,449.80/ year · 4-character #name
Claim #ssas — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.3
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-15 20:58 UTC
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14
0
11-15

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-11-15 20:58 UTC
#ssasasas
0 uses · 0 accounts / 7d
#ssasr
0 uses · 0 accounts / 7d
#ssastaffingcuts
0 uses · 0 accounts / 7d
#ssassdi
0 uses · 0 accounts / 7d
#ssasonaleating
0 uses · 0 accounts / 7d
#ssastaffers
0 uses · 0 accounts / 7d
#ssastaffingcrisis
0 uses · 0 accounts / 7d
#ssastrategy
0 uses · 0 accounts / 7d
#ssastaffcuts
0 uses · 0 accounts / 7d
#ssas_tabular
0 uses · 0 accounts / 7d
#ssasecuritybreachnigeria
0 uses · 0 accounts / 7d
#ssass
0 uses · 0 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-15 20:58 UTC

Everything below is measured over the latest 7 public posts (spanning ~26335 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5) · Russian (2)

Avg boosts / post: 0.1

Top of the latest posts

  • Every data witch needs a #DateDimension configured just the way she likes… or more likely, tailored to the idiosyncrasies of a bunch of end users. Here’s my basic version of that: https://github.com/Willow-DataWitch/DateDimension #SSAS #Tab

    Willow, Data Witch@willow_datawitch@hachyderm.io♥ 1↻ 12024-03-28 13:15 UTCView post →

  • Preparing a presentation on VertiPaq and optimizing models for #PowerBI and #SSAS Tabular only served to convince me of one thing: #DAX is the path to worse performance. Just don't write it if you can avoid it. E.g., queries on a table of 8

    greggyb@greggyb@mastodon.sdf.org♥ 1↻ 02023-04-27 18:38 UTCView post →

  • https://www.europesays.com/uk/549033/ Royal London and InvestAcc strengthen market positions with acquisitions #AJBell #Assets #Britain #consolidation #DalmoreCapital #England #GreatBritain #InfrastructureInvestment #InvestAcc #Investment #

    UK@uk@pubeurope.com♥ 0↻ 02025-11-04 18:49 UTCView post →

#ssas across platforms

every network with a public tag surface

Follow #ssas 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/ssas