#lowess

Live, measured metrics for the hashtag #lowess 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 #lowess

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.

$520.70/ year · 6-character #name
Claim #lowess — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
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Uses / 7 days
Mastodon
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Accounts / 7 days
Mastodon
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Recent posts
Mastodon
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Recent pace
Mastodon · last 0
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Avg reactions / post
Mastodon · last 0
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Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-25 20:38 UTC

No measured public usage for #lowess in the last 7 days. That is a real result, and a good one to know: this hashtag is wide open right now. We show a dash before we ever show a made-up number. Browse the trending index for tags with live measurements.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-09-25 20:38 UTC

No related tags with measured usage found for #lowess.

Live pulse

measured · Mastodon tag timeline · fetched 2026-09-25 20:38 UTC

No recent public posts found for #lowess on Mastodon. Nothing measured, so nothing shown.

What “lowess” means

Wikipedia

Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its most common methods, initially developed for scatterplot smoothing, are LOESS and LOWESS, both pronounced LOH-ess. They are two strongly related non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. In some fields, LOESS is known and commonly referred to as Savitzky–Golay filter.

“Local regression” on Wikipedia (CC BY-SA) →

#lowess across platforms

every network with a public tag surface

Follow #lowess 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/lowess