#Levenshtein

Live, measured metrics for the hashtag #Levenshtein 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 #levenshtein

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$10.85/ year · 11-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
12
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 12
0.3
Avg reactions / post
Mastodon · last 12

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 20:14 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 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 2026-07-28 20:14 UTC
#levenshtein_distance
0 uses · 0 accounts / 7d
#levenshteineditdistance
0 uses · 0 accounts / 7d
#levenshteindistance
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 20:14 UTC

Everything below is measured over the latest 12 public posts (spanning ~30026 hours).

Posting hours (UTC) — busiest: 01:00

00:0012:0023:00

Languages: English (11) · Russian (1)

Avg boosts / post: 0.4

Top of the latest posts

  • Needed to do some fuzzy matches in #Laravel with a 5000+ row array to account for differently spelled company names across two APIs. Played with #Levenshtein, #SoundEx and #similar_text in #PHP. Found similar_text worked best by far for thi

    Out of Control :laravel: 🇨🇦@[email protected]♥ 2↻ 02023-02-11 16:41 UTCView post →

  • PHP function: levenshtein() Calculating the distance between two strings https://drops-of-php.hi-folks.dev/05-string/16-str-levensthein/ #php #levenshtein #strings

    Roberto B.@[email protected]♥ 1↻ 32024-01-05 22:38 UTCView post →

  • Estimating Levenshtein Distance for Large Documents Using Compact Signatures 이 논문은 대용량 문서 간의 레벤슈타인 거리(Levenshtein Distance, LD)를 효율적으로 추정하는 새로운 기법을 제안한다. 원본 문서에서 슬라이딩 윈도우 해시를 통해 생성한 짧은 서명(signature)을 사용하여 LD를 계산함으로써, 수십만 자에 달하는 문서도 일반 하드웨어에

    ainews@[email protected]♥ 0↻ 02026-05-12 01:43 UTCView post →

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/levenshtein