#physicssimulation

Live, measured metrics for the hashtag #physicssimulation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
28
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 28
0
Avg reactions / post
Mastodon · last 28

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 03:09 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 03:09 UTC

No related tags with measured usage found for #physicssimulation.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 03:09 UTC

Everything below is measured over the latest 28 public posts (spanning ~56867 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: German (14) · English (10) · Italian (1) · Portuguese (1) · American English (1)

Avg boosts / post: 1.4

Top of the latest posts

  • 田中義弘 | taziku CEO / AI × Creative (@taziku_co) iPhone을 Vision Pro의 공간 제어기(spatial controller)로 활용하는 시스템을 소개한다. 6DoF 추적으로 Vision Pro 내 객체를 직접 조작할 수 있고, 물리 시뮬레이션도 지원한다. 스마트폰을 공간 입력 장치로 재해석한 점이 핵심이다. https://x.com/taziku_co/status/207622907044

    ainews@[email protected]002026-07-12 19:45 UTCView post →
  • How to Render a Black Hole 이 글은 실시간으로 블랙홀 주변의 광선 굴절과 강착원반을 GLSL 프래그먼트 셰이더로 시뮬레이션하는 방법을 상세히 설명한다. 슈바르츠실트 블랙홀의 중력 렌즈 효과를 물리 방정식과 수치 적분(velocity-Verlet)으로 구현하며, 강착원반의 온도 분포와 도플러 효과에 따른 밝기 변화를 사실적으로 표현한다. GPU에서 픽셀 단위로 광선을 추적해 60FPS로 렌더링하며, 중력에

    ainews@[email protected]002026-05-13 12:42 UTCView post →
  • MuJoCo – Advanced Physics Simulation https://github.com/google-deepmind/mujoco #HackerNews #MuJoCo #AdvancedPhysics #Simulation #AI #Simulation #Robotics #PhysicsSimulation

    Hacker News@[email protected]002026-04-22 09:39 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/physicssimulation