#tiresimulation

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

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
21
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 21
0
Avg reactions / post
Mastodon · last 21

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 16:37 UTC
0
07-23
0
07-24
0
07-25
0
07-26
1
07-27
0
07-28
0
07-29

1 uses by 1 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 2026-07-29 16:37 UTC

No related tags with measured usage found for #tiresimulation.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 16:37 UTC

Everything below is measured over the latest 21 public posts (spanning ~18985 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: Spanish (21)

Avg boosts / post: 0.7

Top of the latest posts

  • Open vs. locked differential. A locked differential forces both drive wheels to rotate at the same rate, which can improve traction on slippery terrain. With an open differential, if one wheel loses traction, the available drive torque is l

    Vehicle Physics@[email protected]102026-03-24 14:33 UTCView post →
  • Diagnosing the last bits of the new wheel dynamics model in Vehicle Physics Pro. In this pic, a small bump appears in the lateral tire force when entering the adhesion transition zone. #VPPDev #TireSimulation #Physics #Unity #Simracing #Mad

    Vehicle Physics@[email protected]012026-07-27 13:37 UTCView post →
  • Comparing different versions of the new wheel model's behavior near zero velocity in Vehicle Physics Pro. The latest iteration (blue) resolves the stopping force causing overshoot and oscillation when braking to a stop at high inertia / low

    Vehicle Physics@[email protected]002026-07-08 13:26 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/tiresimulation