#nlp

Live, measured metrics for the hashtag #nlp 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 #nlp

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.

$5,313.74/ year · 3-character #name
Claim #nlp — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
33
Uses / 7 days
Mastodon
19
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-29 13:10 UTC
2
10-23
9
10-24
6
10-25
4
10-26
1
10-27
10
10-28
1
10-29

33 uses by 19 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-29 13:10 UTC

No related tags with measured usage found for #nlp.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 13:10 UTC

Everything below is measured over the latest 40 public posts (spanning ~269 hours).

Posting hours (UTC) — busiest: 04:00

00:0012:0023:00

Languages: English (38) · Russian (2)

Avg boosts / post: 0.4

Top of the latest posts

  • Text Annotation Guide: Types, Tools, Techniques & Examples Improve AI and machine learning models with expert text annotation services, including text classification, named entity recognition, sentiment analysis, and intent recognition. Bui

    Hitech BPO@[email protected]♥ 1↻ 02026-10-29 12:53 UTCView post →

  • "Using internal analytics and employee surveys, managers can view a team’s work over a given date range, what the team produced, how much it cost, and where its workflows broke down. " -- https://www.msn.com/en-us/news/other/anthropic-just-

    Martin Taibr@[email protected]♥ 0↻ 02026-10-28 23:57 UTCView post →

  • "Always D" scores 46.7% on MMLU high-school statistics: where benchmark answers sit, by subject and by split#machinelearning #datascience #nlp #benchmarks #software #coding #development #engineering #inclusive #community "Always D" scores 4

    Dev Community@[email protected]♥ 0↻ 02026-10-28 22:06 UTCView post →

#nlp across platforms

every network with a public tag surface

Follow #nlp 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/nlp