#bonjourtristesse

Live, measured metrics for the hashtag #bonjourtristesse 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
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-14 06:57 UTC
0
10-08
0
10-09
1
10-10
0
10-11
0
10-12
0
10-13
0
10-14

1 uses by 1 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 2026-10-14 06:57 UTC

No related tags with measured usage found for #bonjourtristesse.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-14 06:57 UTC

Everything below is measured over the latest 40 public posts (spanning ~61262 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (30) · German (5) · French (3) · Dutch (1)

Avg boosts / post: 0.2

Top of the latest posts

  • nevertheless I made some video with it #BonjourTristesse #music

    kolya@[email protected]♥ 3↻ 02026-04-27 20:43 UTCView post →

  • #Iwatched #BonjourTristesse (1958) and it was a mixed experience. #DavidNiven and #MylèneDemongeot are obviously seasoned actors but the main role is #JeanSeberg and she's tense and controlled, even when she's having fun. Not her fault, but

    kolya@[email protected]♥ 3↻ 22026-04-24 19:05 UTCView post →

  • #Iwatched #BonjourTristesse (2024) which is more beautifully filmed than the 1958 film. And it has way better music. In fact I should get the soundtrack. Its actors are also more convincing as real people. And then the film completely fails

    kolya@[email protected]♥ 1↻ 02026-04-26 22:20 UTCView post →

#bonjourtristesse across platforms

every network with a public tag surface

Follow #bonjourtristesse 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/bonjourtristesse