#entitygraph
Live, measured metrics for the hashtag #entitygraph from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #entitygraph
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 11:56 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 11:56 UTCNo related tags with measured usage found for #entitygraph.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:56 UTCEverything below is measured over the latest 3 public posts (spanning ~4242 hours).
Posting hours (UTC)
Languages: English (2) · Russian (1)
Avg boosts / post: 0
Top of the latest posts
JPA отлично справляется с полными графами. А что насчёт частичных? JPA не предоставляет first-class модель для частичных вложенных графов как концепта. Для этого нужны JDBC (ручная сборка), jOOQ (MULTISET) или Blaze Persistence (Entity View
Show HN: Fixing AI memory blind spot on connected facts with benchmark 기존의 시맨틱 검색은 연결된 사실들을 완벽히 포착하지 못하며, 가장 의미적으로 유사한 메모리만을 찾는 한계가 있다. HotpotQA 데이터셋에서 벡터 검색과 BM25에 엔티티 그래프를 결합한 방식이 BothFound@5 점수를 71.5%로 크게 향상시켰고, 이는 엔티티 그래프가 연결된 사실 추출에 핵심
500 Abfragen oder eine? Wer #JPA & Spring Data falsch einsetzt, landet im N+1-Desaster. Julius Mischok zeigt, wie du mit #EntityGraph + JPQL JPA von Bremse zu Boost wechselst. 👉 Wenig Aufwand, viel Speed – jetzt in der #JAVAPRO: https://ja
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/entitygraph