#energymodeling

Live, measured metrics for the hashtag #energymodeling 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 #energymodeling

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$5.00/ year · 14-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.1
Avg reactions / post
Mastodon · last 7

Day-by-day usage

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

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 2026-07-27 23:16 UTC

No related tags with measured usage found for #energymodeling.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 23:16 UTC

Everything below is measured over the latest 7 public posts (spanning ~29392 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (6) · German (1)

Avg boosts / post: 0.6

Top of the latest posts

  • FREE webinar: Commercial-Grade Open-Source Software for Energy Planning Sept 18, 16-18:00 CEST | Online Learn how TSOs & industry use PyPSA, PowSyBl for grid simulation & power flow modeling. Panel with RTE, Artelys, LF Energy + lightning t

    Open Energy Transition@[email protected]♥ 1↻ 22025-08-26 09:00 UTCView post →

  • Open models like PyPSA offer real advantages for system planning: transparency in assumptions, full control over your modelling environment, no vendor lock-in, and the ability to handle sensitive data in-house. We want to make them as acces

    Open Energy Transition@[email protected]♥ 0↻ 02026-04-16 14:30 UTCView post →

  • @brunopostle I did a bit research. #Revit has an extension for #energymodeling and options for #gbXML export through #Dynamo. #Rhino has #Honeybee and #Ladybug as energy extensions to #Grasshopper. #BIMServer can extract geometry from #IFC

    Torbjørn Wikestad@[email protected]♥ 0↻ 02025-06-01 12:07 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/energymodeling