#textrendering

Live, measured metrics for the hashtag #textrendering 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 #textrendering

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$5.00/ year · 13-character #name
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2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
16
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 16
0.1
Avg reactions / post
Mastodon · last 16

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 16:41 UTC
1
07-21
0
07-22
1
07-23
0
07-24
0
07-25
0
07-26
0
07-27

2 uses by 2 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 2026-07-27 16:41 UTC

No related tags with measured usage found for #textrendering.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 16:41 UTC

Everything below is measured over the latest 16 public posts (spanning ~20322 hours).

Posting hours (UTC) — busiest: 05:00

00:0012:0023:00

Languages: English (15) · German (1)

Avg boosts / post: 0.7

Top of the latest posts

  • RE: https://kind.social/@PurpleJillybeans/116657425179790647 I too have a BGR monitor and would like to raise awareness that not all Linux apps properly support different subpixel arrangements yet! - Electron apps do it wrong. - JetBrains I

    Felix Urbasik@[email protected]♥ 1↻ 22026-05-29 14:49 UTCView post →

  • "The art of text (rendering)" #39C3 #TextRendering https://www.youtube.com/watch?v=XTgIJUwmz0Q

    Eddy Jansson@[email protected]♥ 1↻ 32026-01-02 23:06 UTCView post →

  • thehype. (@thehypedotnews) Alibaba Qwen이 이미지 생성 모델 Qwen-Image 3.0을 공개했다. 복잡한 다중 요소 레이아웃, 사실적인 세부 묘사, 약 10px 수준의 읽을 수 있는 텍스트 렌더링을 핵심 개선점으로 내세웠으며, GPT Image 2와의 비교를 제시한다. 이미지 생성 기반 UI·광고 소재·문서형 콘텐츠 생성 품질에 영향을 줄 업데이트다. https://x.com/thehypedot

    ainews@[email protected]♥ 0↻ 02026-07-23 05:58 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/textrendering