#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
26
Uses / 7 days
Mastodon
12
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-25 09:06 UTC
7
10-19
5
10-20
1
10-21
6
10-22
1
10-23
5
10-24
1
10-25

26 uses by 12 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 2026-10-25 09:06 UTC
#nlpol
2 uses · 2 accounts / 7d
#nlproc
2 uses · 2 accounts / 7d
#NLPremium
16 uses · 5 accounts / 7d
#русский_nlp
0 uses · 0 accounts / 7d
#nlpoli
0 uses · 0 accounts / 7d
#ACL2027NLP
0 uses · 0 accounts / 7d
#nlplayoffrace
0 uses · 0 accounts / 7d
#nlplayoffpicture
0 uses · 0 accounts / 7d
#nlpolice
0 uses · 0 accounts / 7d
#ThaiNlp
0 uses · 0 accounts / 7d
#nlpмодели
0 uses · 0 accounts / 7d
#OraiNLP
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-25 09:06 UTC

Everything below is measured over the latest 40 public posts (spanning ~315 hours).

Posting hours (UTC) — busiest: 04:00

00:0012:0023:00

Languages: English (27) · German (11) · Russian (2)

Avg boosts / post: 0.9

Top of the latest posts

  • We published a new open dataset of French security bulletins from @cert_fr to train a VLAI severity classifier for French text. It joins our Chinese (CNVD) and Russian (FSTEC) datasets. This work was carried out during the @hack_lu 2026 hac

    Cedric@[email protected]♥ 1↻ 72026-10-23 07:16 UTCView post →

  • Annotation QA tip: most label noise comes from vague guidelines, not careless annotators. Before labeling 1,000 items, write down 3 things: 1. What counts as the object/entity (and what doesn't) 2. How to handle edge cases (occluded, partia

    Joseph M | AI Data Annotation@[email protected]♥ 1↻ 22026-10-18 06:02 UTCView post →

  • The Fallacy of Data Driven Marketing: https://idea2product4profit.substack.com/p/the-fallacy-of-data-driven-marketing #TECHCRUNCH #Entrepreneurs #programming #coding #webdev #DataScience #startup #leanstartup #stealth #AI #MachineLearning #

    J. Cafesin Storyteller@[email protected]♥ 1↻ 32026-10-14 16:55 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