#itext
Live, measured metrics for the hashtag #itext from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #itext
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 23:48 UTC0 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 2026-07-27 23:48 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 23:48 UTCEverything below is measured over the latest 9 public posts (spanning ~37383 hours).
Posting hours (UTC)
Languages: English (5) · Chinese (Taiwan) (2) · Japanese (1) · French (1)
Avg boosts / post: 0.7
Top of the latest posts
Some devs write PDFs. Others generate them from AI prompts — fully offline, entirely in Java. Here’s how with Quarkus, LangChain4j, Ollama, and iText: https://myfear.substack.com/p/ai-whitepaper-generator-quarkus-langchain4j-itext #Java #iT
🌘 如何在下午將 PDF 表格渲染速度提升 95% ➤ 提升 PDF 表格渲染效能的實用技巧 ✤ https://kb.itextpdf.com/itext/how-i-made-pdf-table-rendering-faster 本文分享了作者在 Apryse 公司利用閒暇時間，優化 iText Core 中表格渲染速度的經驗。作者發現大型表格渲染速度緩慢，經過分析，問題的根源在於邊框合併計算和不必要的標記開銷。透過避免重複的邊框合併計算和減少標記開銷，作者成功地將 5
Defusing AGPL-3 With Batch Processing Preamble: this is an intentionally incendiary post, you could even define it as trolling. I have been thinking whether to publish this for a while, as it is on the border of being the type of unkind pos
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/itext