#lossycompression

Live, measured metrics for the hashtag #lossycompression 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
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0.3
Avg reactions / post
Mastodon · last 6

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:51 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 08:51 UTC

No related tags with measured usage found for #lossycompression.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:51 UTC

Everything below is measured over the latest 6 public posts (spanning ~13198 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5) · Portuguese (1)

Avg boosts / post: 0

Top of the latest posts

  • interesting crossing of the streams in my YouTube suggestions, an F1 content producer investigating the compression artifacts on a video uploaded to YouTube 200 times. https://www.youtube.com/watch?v=VgZcCN9740E #digipres #FileFormats #Digi

    #Digital ⚓️ #Vagabond 🦈@[email protected]102024-07-10 07:08 UTCView post →
  • 🚀 Level Up Your Web Images with AVIF! 🚀 AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉 ✅ Why AVIF? • Superior Compression:

    Deekshith Allamaneni@[email protected]102024-05-22 23:56 UTCView post →
  • Text Compression Gets Weirdly Efficient With LLMs - It used to be that memory and storage space were so precious and so limited of a r... - https://hackaday.com/2023/08/27/text-compression-gets-weirdly-efficient-with-llms/ #artificialintell

    IT News@[email protected]002023-08-27 17:25 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/lossycompression