#madewithqgis

Live, measured metrics for the hashtag #madewithqgis 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
14
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 14
0.2
Avg reactions / post
Mastodon · last 14
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-13 21:04 UTC
0
10-07
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-13 21:04 UTC

No related tags with measured usage found for #madewithqgis.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-13 21:04 UTC

Everything below is measured over the latest 14 public posts (spanning ~184 hours).

Top of the latest posts

  • ... DATA > TomTom 2023 Traffic Index (https://www.tomtom.com/traffic-index/ranking/) > DPWH RBI (for the roads) | You can also use OpenStreetMap PROCESS 1. Style the main EDSA road differently from the other roads. 2. Add information in the

    BNHR.XYZ :tux: :qgis:@bnhrdotxyz@fosstodon.org♥ 1↻ 02024-11-06 07:59 UTCView post →
  • ... But maybe we can start by shifting away from car-centric designs, investing in safe and efficient public transport, creating spaces for walking and cycling, and putting people at the heart of urban planning. ... #30DayMapChallenge #30Da

    BNHR.XYZ :tux: :qgis:@bnhrdotxyz@fosstodon.org♥ 1↻ 02024-11-06 07:57 UTCView post →
  • 30 DAY MAP CHALLENGE 2024 | DAY 5 - JOURNEY BYAHENG MAYNILA (loosely translated: Manila Trip/Journey) In TomTom's 2023 Traffic Index, the Manila metro area [1] ranked the worst among 387 cities with an average travel time of 25 mins 30 secs

    BNHR.XYZ :tux: :qgis:@bnhrdotxyz@fosstodon.org♥ 1↻ 12024-11-06 07:56 UTCView post →

#madewithqgis across platforms

every network with a public tag surface

Follow #madewithqgis straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

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/madewithqgis